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change</title> <meta name="description" content="Search results for: land use change"> <meta name="keywords" content="land use change"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="land use change"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 8698</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: land use change</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8698</span> Remote Sensing and GIS for Land Use Change Assessment: Case Study of Oued Bou Hamed Watershed, Southern Tunisia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ouerchefani%20Dalel">Ouerchefani Dalel</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahdhaoui%20Basma"> Mahdhaoui Basma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Land use change is one of the important factors needed to evaluate later on the impact of human actions on land degradation. This work present the application of a methodology based on remote sensing for evaluation land use change in an arid region of Tunisia. This methodology uses Landsat TM and ETM+ images to produce land use maps by supervised classification based on ground truth region of interests. This study showed that it was possible to rely on radiometric values of the pixels to define each land use class in the field. It was also possible to generate 3 land use classes of the same study area between 1988 and 2011. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=land%20use" title="land use">land use</a>, <a href="https://publications.waset.org/abstracts/search?q=change" title=" change"> change</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a> </p> <a href="https://publications.waset.org/abstracts/31556/remote-sensing-and-gis-for-land-use-change-assessment-case-study-of-oued-bou-hamed-watershed-southern-tunisia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31556.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">564</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8697</span> Modeling the Impacts of Road Construction on Lands Values</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maha%20Almumaiz">Maha Almumaiz</a>, <a href="https://publications.waset.org/abstracts/search?q=Harry%20Evdorides"> Harry Evdorides</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Change in land value typically occurs when a new interurban road construction causes an increase in accessibility; this change in the adjacent lands values differs according to land characteristics such as geographic location, land use type, land area and sale time (appraisal time). A multiple regression model is obtained to predict the percent change in land value (CLV) based on four independent variables namely land distance from the constructed road, area of land, nature of land use and time from the works completion of the road. The random values of percent change in land value were generated using Microsoft Excel with a range of up to 35%. The trend of change in land value with the four independent variables was determined from the literature references. The statistical analysis and model building process has been made by using the IBM SPSS V23 software. The Regression model suggests, for lands that are located within 3 miles as the straight distance from the road, the percent CLV is between (0-35%) which is depending on many factors including distance from the constructed road, land use, land area and time from works completion of the new road. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=interurban%20road" title="interurban road">interurban road</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20types" title=" land use types"> land use types</a>, <a href="https://publications.waset.org/abstracts/search?q=new%20road%20construction" title=" new road construction"> new road construction</a>, <a href="https://publications.waset.org/abstracts/search?q=percent%20CLV" title=" percent CLV"> percent CLV</a>, <a href="https://publications.waset.org/abstracts/search?q=regression%20model" title=" regression model"> regression model</a> </p> <a href="https://publications.waset.org/abstracts/55333/modeling-the-impacts-of-road-construction-on-lands-values" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55333.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">266</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8696</span> Effects of Climate Change and Land Use, Land Cover Change on Atmospheric Mercury</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shiliang%20Wu">Shiliang Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Huanxin%20Zhang"> Huanxin Zhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Mercury has been well-known for its negative effects on wildlife, public health as well as the ecosystem. Once emitted into atmosphere, mercury can be transformed into different forms or enter the ecosystem through dry deposition or wet deposition. Some fraction of the mercury will be reemitted back into the atmosphere and be subject to the same cycle. In addition, the relatively long lifetime of elemental mercury in the atmosphere enables it to be transported long distances from source regions to receptor regions. Global change such as climate change and land use/land cover change impose significant challenges for mercury pollution control besides the efforts to regulate mercury anthropogenic emissions. In this study, we use a global chemical transport model (GEOS-Chem) to examine the potential impacts from changes in climate and land use/land cover on the global budget of mercury as well as its atmospheric transport, chemical transformation, and deposition. We carry out a suite of sensitivity model simulations to separate the impacts on atmospheric mercury associated with changes in climate and land use/land cover. Both climate change and land use/land cover change are found to have significant impacts on global mercury budget but through different pathways. Land use/land cover change primarily increase mercury dry deposition in northern mid-latitudes over continental regions and central Africa. Climate change enhances the mobilization of mercury from soil and ocean reservoir to the atmosphere. Also, dry deposition is enhanced over most continental areas while a change in future precipitation dominates the change in mercury wet deposition. We find that 2000-2050 climate change could increase the global atmospheric burden of mercury by 5% and mercury deposition by up to 40% in some regions. Changes in land use and land cover also increase mercury deposition over some continental regions, by up to 40%. The change in the lifetime of atmospheric mercury has important implications for long-range transport of mercury. Our case study shows that changes in climate and land use and cover could significantly affect the source-receptor relationships for mercury. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mercury" title="mercury">mercury</a>, <a href="https://publications.waset.org/abstracts/search?q=toxic%20pollutant" title=" toxic pollutant"> toxic pollutant</a>, <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20transport" title=" atmospheric transport"> atmospheric transport</a>, <a href="https://publications.waset.org/abstracts/search?q=deposition" title=" deposition"> deposition</a>, <a href="https://publications.waset.org/abstracts/search?q=climate%20change" title=" climate change"> climate change</a> </p> <a href="https://publications.waset.org/abstracts/24245/effects-of-climate-change-and-land-use-land-cover-change-on-atmospheric-mercury" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24245.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">489</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8695</span> Assessing Land Cover Change Trajectories in Olomouc, Czech Republic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mukesh%20Singh%20Boori">Mukesh Singh Boori</a>, <a href="https://publications.waset.org/abstracts/search?q=V%C3%ADt%20Vo%C5%BEen%C3%ADlek"> Vít Voženílek</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Olomouc is a unique and complex landmark with widespread forestation and land use. This research work was conducted to assess important and complex land use change trajectories in Olomouc region. Multi-temporal satellite data from 1991, 2001 and 2013 were used to extract land use/cover types by object oriented classification method. To achieve the objectives, three different aspects were used: (1) Calculate the quantity of each transition; (2) Allocate location based landscape pattern (3) Compare land use/cover evaluation procedure. Land cover change trajectories shows that 16.69% agriculture, 54.33% forest and 21.98% other areas (settlement, pasture and water-body) were stable in all three decade. Approximately 30% of the study area maintained as a same land cove type from 1991 to 2013. Here broad scale of political and socio-economic factors was also affect the rate and direction of landscape changes. Distance from the settlements was the most important predictor of land cover change trajectories. This showed that most of landscape trajectories were caused by socio-economic activities and mainly led to virtuous change on the ecological environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title="remote sensing">remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%2Fcover" title=" land use/cover"> land use/cover</a>, <a href="https://publications.waset.org/abstracts/search?q=change%20trajectories" title=" change trajectories"> change trajectories</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20classification" title=" image classification"> image classification</a> </p> <a href="https://publications.waset.org/abstracts/11452/assessing-land-cover-change-trajectories-in-olomouc-czech-republic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11452.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">404</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8694</span> Climate Change and Land Grabbing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Akachi%20Odoemene">Akachi Odoemene</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Climate change and land grabbing are tightly interconnected in ways that are both diverse and complex. They have impacted each other in significant ways too. Both phenomena are not only a political reality, but have diverse dire implications, especially for food and livelihood security of vulnerable populations in developing economies. The critical nexus and interactions of climate change and land grabbing remain one of the challenges of sustainable development in modern times. The nuanced understanding of the nexus, importance and implications of climate change and land grabbing are the primary focus of this chapter. It begins with conceptual clarifications, particularly arguing that the absence of some important principles of engagement underline and define a land grab. It also analyses and notes a good number of contemporary land deals as 'one-sided', in which wealthy entities connive with local elites to exploit and disposes rural poor populations. The paper not only examines both global and local factors that drive land grabbing and, in some cases, their connections with the incidence of climate change, but also explores their crucial links with such sector as agriculture. It is argued and exhibited in the paper why certain societies are susceptible to the incidence of climate change and land grabbing, while the overall consequences of these phenomena on the affected societies are further interrogated. The paper concludes that the lack of political will by global political leaders to effectively combat and resolve critical issues associated with both climate change and land grabbing remains a daunting challenge. It notes that these phenomena – climate change and land grabbing – if not abated, will certainly become another set of global tragic episodes to be regretted in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20change" title="climate change">climate change</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20grabbing" title=" land grabbing"> land grabbing</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20governance" title=" global governance"> global governance</a>, <a href="https://publications.waset.org/abstracts/search?q=developing%20economies" title=" developing economies"> developing economies</a> </p> <a href="https://publications.waset.org/abstracts/68949/climate-change-and-land-grabbing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68949.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">292</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8693</span> Flood Risk Assessment and Adapted to the Climate Change by a Trade-Off Process in Land Use Planning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nien-Ming%20Hong">Nien-Ming Hong</a>, <a href="https://publications.waset.org/abstracts/search?q=Kuei-Fang%20Huang"> Kuei-Fang Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Climate change is an important issue in future, which seriously affects water resources for a long term planning and management. Flood assessment is highly related with climate and land use. Increasing rainfall and urbanization will induce the inundated area in future. For adapting the impacts of climate change, a land use planning is a good strategy for reducing flood damage. The study is to build a trade-off process with different land use types. The Ta-Liao watershed is the study area with three types of land uses that are build-up, farm and forest. The build-up area is concentrated in the downstream of the watershed. Different rainfall amounts are applied for assessing the land use in 1996, 2005 and 2013. The adapted strategies are based on retarding the development of urban and a trade-off process. When a land changes from farm area to built-up area in downstream, this study is to search for a farm area and change it to forest/grass area or building a retention area in the upstream. For assessing the effects of the strategy, the inundation area is simulated by the Flo-2D model with different rainfall conditions and land uses. The results show inundation maps of several cases with land use change planning. The results also show the trade-off strategies and retention areas can decrease the inundated area and divide the inundated area, which are better than retarding urban development. The land use change is usually non-reverse and the planning should be constructed before the climate change. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20change" title="climate change">climate change</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20change" title=" land use change"> land use change</a>, <a href="https://publications.waset.org/abstracts/search?q=flood%20risk%20assessment" title=" flood risk assessment"> flood risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20planning" title=" land use planning"> land use planning</a> </p> <a href="https://publications.waset.org/abstracts/43145/flood-risk-assessment-and-adapted-to-the-climate-change-by-a-trade-off-process-in-land-use-planning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43145.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">338</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8692</span> The Effects of Weather Events and Land Use Change on Urban Ecosystems: From Risk to Resilience</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Szu-Hua%20%20Wang">Szu-Hua Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Urban ecosystems, as complex coupled human-environment systems, contain abundant natural resources for breeding natural assets and, at the same time, attract urban assets and consume natural resources, triggered by urban development. Land use change illustrates the interaction between human activities and environments factually. However, IPCC (2014) announces that land use change and urbanization due to human activities are the major cause of climate change, leading to serious impacts on urban ecosystem resilience and risk. For this reason, risk assessment and resilience analysis are the keys for responding to climate change on urban ecosystems. Urban spatial planning can guide urban development by land use planning, transportation planning, and environmental planning and affect land use allocation and human activities by building major constructions and protecting important national land resources simultaneously. Urban spatial planning can aggravate climate change and, on the other hand, mitigate and adapt climate change. Research on effects of spatial planning on land use change and climate change is one of intense issues currently. Therefore, this research focuses on developing frameworks for risk assessment and resilience analysis from the aspect of ecosystem based on typhoon precipitation in Taipei area. The integrated method of risk assessment and resilience analysis will be also addressed for applying spatial planning practice and sustainable development. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ecosystem" title="ecosystem">ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20change" title=" land use change"> land use change</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20analysis" title=" risk analysis"> risk analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=resilience" title=" resilience"> resilience</a> </p> <a href="https://publications.waset.org/abstracts/54486/the-effects-of-weather-events-and-land-use-change-on-urban-ecosystems-from-risk-to-resilience" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54486.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">417</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8691</span> Potential Effects of Green Infrastructures on the Land Surface Temperatures in Arid Areas</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adila%20Shafqat">Adila Shafqat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Climate change and urbanization has changed the face of many cities in developing countries. Urbanization is linked with land use and land cover change, that is further intensify by the effects of changing climates. Green infrastructures provide numerous ecosystem services which effect the physical set up of the cities in the long run. Land surface temperatures is considered as defining parameter in the studies of the thermal impact on the land cover. Current study is conducted in the semi-arid urban areas of the Bahawalpur region. Accordingly, Land Surface Temperatures and land cover maps are derived from Landsat image through remote sensing techniques. The cooling impact of green infrastructure is determined by calculating land surface temperature of buffered zones around green infrastructures. A regression model is applied for results. It is seen that land surface temperature around green infrastructures in 1 to 3 degrees lower than the built up surroundings. The result indicates that the urban green infrastructures should be planned according to the local needs and characteristics of landuse so that they can effectively tackle land surface temperatures of urban areas. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20change" title="climate change">climate change</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20temperatures" title=" surface temperatures"> surface temperatures</a>, <a href="https://publications.waset.org/abstracts/search?q=green%20spaces" title=" green spaces"> green spaces</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20planning" title=" urban planning"> urban planning</a> </p> <a href="https://publications.waset.org/abstracts/156697/potential-effects-of-green-infrastructures-on-the-land-surface-temperatures-in-arid-areas" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156697.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">120</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8690</span> Land Use Change Detection Using Satellite Images for Najran City, Kingdom of Saudi Arabia (KSA)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ismail%20Elkhrachy">Ismail Elkhrachy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Determination of land use changing is an important component of regional planning for applications ranging from urban fringe change detection to monitoring change detection of land use. This data are very useful for natural resources management.On the other hand, the technologies and methods of change detection also have evolved dramatically during past 20 years. So it has been well recognized that the change detection had become the best methods for researching dynamic change of land use by multi-temporal remotely-sensed data. The objective of this paper is to assess, evaluate and monitor land use change surrounding the area of Najran city, Kingdom of Saudi Arabia (KSA) using Landsat images (June 23, 2009) and ETM+ image(June. 21, 2014). The post-classification change detection technique was applied. At last,two-time subset images of Najran city are compared on a pixel-by-pixel basis using the post-classification comparison method and the from-to change matrix is produced, the land use change information obtained.Three classes were obtained, urban, bare land and agricultural land from unsupervised classification method by using Erdas Imagine and ArcGIS software. Accuracy assessment of classification has been performed before calculating change detection for study area. The obtained accuracy is between 61% to 87% percent for all the classes. Change detection analysis shows that rapid growth in urban area has been increased by 73.2%, the agricultural area has been decreased by 10.5 % and barren area reduced by 7% between 2009 and 2014. The quantitative study indicated that the area of urban class has unchanged by 58.2 km〗^2, gained 70.3 〖km〗^2 and lost 16 〖km〗^2. For bare land class 586.4〖km〗^2 has unchanged, 53.2〖km〗^2 has gained and 101.5〖km〗^2 has lost. While agriculture area class, 20.2〖km〗^2 has unchanged, 31.2〖km〗^2 has gained and 37.2〖km〗^2 has lost. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=land%20use" title="land use">land use</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=change%20detection" title=" change detection"> change detection</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20images" title=" satellite images"> satellite images</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20classification" title=" image classification"> image classification</a> </p> <a href="https://publications.waset.org/abstracts/22554/land-use-change-detection-using-satellite-images-for-najran-city-kingdom-of-saudi-arabia-ksa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22554.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">523</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8689</span> Land Use Change Modeling Using Cellular Automata, Case Study: Karawang City, West Java Province, Indonesia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bagus%20Indrawan%20Hardi">Bagus Indrawan Hardi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cellular Automata are widely used in land use modeling, it has been proven powerful to simulate land use change for small scale in many large cities in the world. In this paper, we try to implement CA for land use modeling in unique city in Indonesia, Karawang. Instead the complex numerical implementation, CA are simple, and it is accurate and also highly dependable on the on the rules (rule based). The most important to do in CA is how we form and calculate the neighborhood effect. The neighborhood effect represents the environment and relationship situation between the occupied cell and others. We adopted 196 cells of circular neighborhood with 8 cells of radius. For the results, CA works well in this study, we exhibit several analyzed and proceed of zoomed part in Karawang region. The rule set can handle the complexity in land use modeling. However, we cannot strictly believe of the result, many non-technical parameters, such as politics, natural disaster activities, etc. may change the results dramatically. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cellular%20automata%20%28CA%29" title="cellular automata (CA)">cellular automata (CA)</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20change" title=" land use change"> land use change</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20dynamics" title=" spatial dynamics"> spatial dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20sprawl" title=" urban sprawl"> urban sprawl</a> </p> <a href="https://publications.waset.org/abstracts/56359/land-use-change-modeling-using-cellular-automata-case-study-karawang-city-west-java-province-indonesia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56359.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">244</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8688</span> Continuous Land Cover Change Detection in Subtropical Thicket Ecosystems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Craig%20Mahlasi">Craig Mahlasi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Subtropical Thicket Biome has been in peril of transformation. Estimates indicate that as much as 63% of the Subtropical Thicket Biome is severely degraded. Agricultural expansion is the main driver of transformation. While several studies have sought to document and map the long term transformations, there is a lack of information on disturbance events that allow for timely intervention by authorities. Furthermore, tools that seek to perform continuous land cover change detection are often developed for forests and thus tend to perform poorly in thicket ecosystems. This study investigates the utility of Earth Observation data for continuous land cover change detection in Subtropical Thicket ecosystems. Temporal Neural Networks are implemented on a time series of Sentinel-2 observations. The model obtained 0.93 accuracy, a recall score of 0.93, and a precision score of 0.91 in detecting Thicket disturbances. The study demonstrates the potential of continuous land cover change in Subtropical Thicket ecosystems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title="remote sensing">remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20cover%20change%20detection" title=" land cover change detection"> land cover change detection</a>, <a href="https://publications.waset.org/abstracts/search?q=subtropical%20thickets" title=" subtropical thickets"> subtropical thickets</a>, <a href="https://publications.waset.org/abstracts/search?q=near-real%20time" title=" near-real time"> near-real time</a> </p> <a href="https://publications.waset.org/abstracts/144799/continuous-land-cover-change-detection-in-subtropical-thicket-ecosystems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144799.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">162</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8687</span> Impacts on Atmospheric Mercury from Changes in Climate, Land Use, Land Cover, and Wildfires</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shiliang%20Wu">Shiliang Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Huanxin%20Zhang"> Huanxin Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Aditya%20Kumar"> Aditya Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There have been increasing concerns on atmospheric mercury as a toxic and bioaccumulative pollutant in the global environment. Global change, including changes in climate change, land use, land cover and wildfires activities can all have significant impacts on atmospheric mercury. In this study, we use a global chemical transport model (GEOS-Chem) to examine the potential impacts from global change on atmospheric mercury. All of these factors in the context of global change are found to have significant impacts on the long-term evolution of atmospheric mercury and can substantially alter the global source-receptor relationships for mercury. We also estimate the global Hg emissions from wildfires for present-day and the potential impacts from the 2000-2050 changes in climate, land use and land cover and Hg anthropogenic emissions by combining statistical analysis with global data on vegetation type and coverage as well as fire activities. Present global Hg wildfire emissions are estimated to be 612 Mg year-1. Africa is the dominant source region (43.8% of global emissions), followed by Eurasia (31%) and South America (16.6%). We find significant perturbations to wildfire emissions of Hg in the context of global change, driven by the projected changes in climate, land use and land cover and Hg anthropogenic emissions. 2000-2050 climate change could increase Hg emissions by 14% globally. Projected changes in land use by 2050 could decrease the global Hg emissions from wildfires by 13% mainly driven by a decline in African emissions due to significant agricultural land expansion. Future land cover changes could lead to significant increases in Hg emissions over some regions (+32% North America, +14% Africa, +13% Eurasia). Potential enrichment of terrestrial ecosystems in 2050 in response to changes in Hg anthropogenic emissions could increase Hg wildfire emissions both globally (+28%) and regionally. Our results indicate that the future evolution of climate, land use and land cover and Hg anthropogenic emissions are all important factors affecting Hg wildfire emissions in the coming decades. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20change" title="climate change">climate change</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use" title=" land use"> land use</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20cover" title=" land cover"> land cover</a>, <a href="https://publications.waset.org/abstracts/search?q=wildfires" title=" wildfires"> wildfires</a> </p> <a href="https://publications.waset.org/abstracts/81118/impacts-on-atmospheric-mercury-from-changes-in-climate-land-use-land-cover-and-wildfires" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81118.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">326</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8686</span> Classify Land Use/Cover Change and Its Impact on Soil Erosion Using GIS from 2005 to 2015 in Nzhelele Valley Limpopo Province, South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Blessing%20Mavhuru">Blessing Mavhuru</a>, <a href="https://publications.waset.org/abstracts/search?q=Nthaduleni%20Nethengwe"> Nthaduleni Nethengwe</a>, <a href="https://publications.waset.org/abstracts/search?q=Hector%20Chikoore"> Hector Chikoore</a>, <a href="https://publications.waset.org/abstracts/search?q=Onyango%20Beneah%20Daniel%20Odhiambo"> Onyango Beneah Daniel Odhiambo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main objective of this study was to classify land use/cover and how it has changed in Nzhelele Valley Limpopo Province, South Africa. The study aimed to identify and analyse the types of land use/cover in the years 2005, 2010, and 2015 with a view to assess the impact on soil erosion over time. Using GIS, the changes within land use/cover were assessed through the classification of satellite images. The study area was classified into four major land cover/use classes, which are vegetation, gravel road, built up land and agricultural fields. Over the period 2005-2015 the resultant land use/cover demonstrated (i) a significant increase (12%) for vegetation cover, (ii) a significant decrease in agriculture (16%) land use/cover, (iii) increase in built-up land (1%), as well as (iv) an increase in gravel roads (3%). This study envisages assisting policy makers in decision making on land use management for Nzhelele Valley. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=land%20use" title="land use">land use</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20cover" title=" land cover"> land cover</a>, <a href="https://publications.waset.org/abstracts/search?q=change" title=" change"> change</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20erosion" title=" soil erosion"> soil erosion</a> </p> <a href="https://publications.waset.org/abstracts/110038/classify-land-usecover-change-and-its-impact-on-soil-erosion-using-gis-from-2005-to-2015-in-nzhelele-valley-limpopo-province-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/110038.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">251</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8685</span> Study of Land Use Land Cover Change of Bhimbetka with Temporal Satellite Data and Information Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pranita%20Shivankar">Pranita Shivankar</a>, <a href="https://publications.waset.org/abstracts/search?q=Devashree%20Hardas"> Devashree Hardas</a>, <a href="https://publications.waset.org/abstracts/search?q=Prabodhachandra%20Deshmukh"> Prabodhachandra Deshmukh</a>, <a href="https://publications.waset.org/abstracts/search?q=Arun%20Suryavanshi"> Arun Suryavanshi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Bhimbetka Rock Shelters is the UNESCO World Heritage Site located about 45 kilometers south of Bhopal in the state of Madhya Pradesh, India. Rapid changes in land use land cover (LULC) adversely affect the environment. In recent past, significant changes are found in the cultural landscape over a period of time. The objective of the paper was to study the changes in land use land cover (LULC) of Bhimbetka and its peripheral region. For this purpose, the supervised classification was carried out by using satellite images of Landsat and IRS LISS III for the year 2000 and 2013. Use of remote sensing in combination with geographic information system is one of the effective information technology tools to generate land use land cover (LULC) change information. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=IRS%20LISS%20III" title="IRS LISS III">IRS LISS III</a>, <a href="https://publications.waset.org/abstracts/search?q=Landsat" title=" Landsat"> Landsat</a>, <a href="https://publications.waset.org/abstracts/search?q=LULC" title=" LULC"> LULC</a>, <a href="https://publications.waset.org/abstracts/search?q=UNESCO" title=" UNESCO"> UNESCO</a>, <a href="https://publications.waset.org/abstracts/search?q=World%20Heritage%20Site" title=" World Heritage Site"> World Heritage Site</a> </p> <a href="https://publications.waset.org/abstracts/58616/study-of-land-use-land-cover-change-of-bhimbetka-with-temporal-satellite-data-and-information-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58616.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">350</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8684</span> Community Perception of Dynamics and Drivers of Land Cover Change around Pendjari Biosphere Reserve in Northern Benin</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jesugnon%20E.%20A.%20Kpodo">Jesugnon E. A. Kpodo</a>, <a href="https://publications.waset.org/abstracts/search?q=Aurlus%20D.%20Ouindeyama"> Aurlus D. Ouindeyama</a>, <a href="https://publications.waset.org/abstracts/search?q=Jan%20H.%20Sommer"> Jan H. Sommer</a>, <a href="https://publications.waset.org/abstracts/search?q=Fifanou%20G.%20Vodouhe"> Fifanou G. Vodouhe</a>, <a href="https://publications.waset.org/abstracts/search?q=Kolo%20Yeo"> Kolo Yeo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Local communities are recognized as key actors for sustainable land use and to some extent actors driving land use land cover (LULC) change around protected areas. Understanding drivers responsible for these changes are very crucial for better policy decisions making. This study analyzed perception of 425 local people in 28 villages towards land cover change around Pendjari Biosphere Reserve using semi-structured questionnaire. 72.9% of local communities perceive land cover as degrading while 24.5% as improving and only 2.6% as stable during the five last years. Women perceived more land cover degradation than men do (84.1 vs. 67.1%). Local communities identified cultivated land expansion, logging, firewood collection, charcoal production, population growth, and poverty as the key drivers of declined LULC in the study area. Education has emerged as a significant factor influencing respondents’ perceptions of these drivers of LULC changes. Appropriate management measures and government policies should be implemented around Pendjari Biosphere Reserve to control drivers of LULC change. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=local%20perceptions" title="local perceptions">local perceptions</a>, <a href="https://publications.waset.org/abstracts/search?q=LULC%20drivers" title=" LULC drivers"> LULC drivers</a>, <a href="https://publications.waset.org/abstracts/search?q=LULC%20dynamics" title=" LULC dynamics"> LULC dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=Pendjari%20Biosphere%20Reserve" title=" Pendjari Biosphere Reserve"> Pendjari Biosphere Reserve</a>, <a href="https://publications.waset.org/abstracts/search?q=rural%20livelihoods" title=" rural livelihoods"> rural livelihoods</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20resource%20management" title=" sustainable resource management"> sustainable resource management</a> </p> <a href="https://publications.waset.org/abstracts/123858/community-perception-of-dynamics-and-drivers-of-land-cover-change-around-pendjari-biosphere-reserve-in-northern-benin" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123858.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">119</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8683</span> Application of Remote Sensing and GIS in Assessing Land Cover Changes within Granite Quarries around Brits Area, South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Refilwe%20Moeletsi">Refilwe Moeletsi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Dimension stone quarrying around Brits and Belfast areas started in the early 1930s and has been growing rapidly since then. Environmental impacts associated with these quarries have not been documented, and hence this study aims at detecting any change in the environment that might have been caused by these activities. Landsat images that were used to assess land use/land cover changes in Brits quarries from 1998 - 2015. A supervised classification using maximum likelihood classifier was applied to classify each image into different land use/land cover types. Classification accuracy was assessed using Google Earth™ as a source of reference data. Post-classification change detection method was used to determine changes. The results revealed significant increase in granite quarries and corresponding decrease in vegetation cover within the study region. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title="remote sensing">remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=change%20detection" title=" change detection"> change detection</a>, <a href="https://publications.waset.org/abstracts/search?q=granite%20quarries" title=" granite quarries"> granite quarries</a> </p> <a href="https://publications.waset.org/abstracts/56098/application-of-remote-sensing-and-gis-in-assessing-land-cover-changes-within-granite-quarries-around-brits-area-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56098.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">314</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8682</span> Spatio-Temporal Assessment of Urban Growth and Land Use Change in Islamabad Using Object-Based Classification Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rabia%20Shabbir">Rabia Shabbir</a>, <a href="https://publications.waset.org/abstracts/search?q=Sheikh%20Saeed%20Ahmad"> Sheikh Saeed Ahmad</a>, <a href="https://publications.waset.org/abstracts/search?q=Amna%20Butt"> Amna Butt</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Rapid land use changes have taken place in Islamabad, the capital city of Pakistan, over the past decades due to accelerated urbanization and industrialization. In this study, land use changes in the metropolitan area of Islamabad was observed by the combined use of GIS and satellite remote sensing for a time period of 15 years. High-resolution Google Earth images were downloaded from 2000-2015, and object-based classification method was used for accurate classification using eCognition software. The information regarding urban settlements, industrial area, barren land, agricultural area, vegetation, water, and transportation infrastructure was extracted. The results showed that the city experienced a spatial expansion, rapid urban growth, land use change and expanding transportation infrastructure. The study concluded the integration of GIS and remote sensing as an effective approach for analyzing the spatial pattern of urban growth and land use change. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=land%20use%20change" title="land use change">land use change</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20growth" title=" urban growth"> urban growth</a>, <a href="https://publications.waset.org/abstracts/search?q=Islamabad" title=" Islamabad"> Islamabad</a>, <a href="https://publications.waset.org/abstracts/search?q=object-based%20classification" title=" object-based classification"> object-based classification</a>, <a href="https://publications.waset.org/abstracts/search?q=Google%20Earth" title=" Google Earth"> Google Earth</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a> </p> <a href="https://publications.waset.org/abstracts/107229/spatio-temporal-assessment-of-urban-growth-and-land-use-change-in-islamabad-using-object-based-classification-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/107229.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">151</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8681</span> Evaluating the Effect of Climate Change and Land Use/Cover Change on Catchment Hydrology of Gumara Watershed, Upper Blue Nile Basin, Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gashaw%20Gismu%20Chakilu">Gashaw Gismu Chakilu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Climate and land cover change are very important issues in terms of global context and their responses to environmental and socio-economic drivers. The dynamic of these two factors is currently affecting the environment in unbalanced way including watershed hydrology. In this paper individual and combined impacts of climate change and land use land cover change on hydrological processes were evaluated through applying the model Soil and Water Assessment Tool (SWAT) in Gumara watershed, Upper Blue Nile basin Ethiopia. The regional climate; temperature and rainfall data of the past 40 years in the study area were prepared and changes were detected by using trend analysis applying Mann-Kendall trend test. The land use land cover data were obtained from land sat image and processed by ERDAS IMAGIN 2010 software. Three land use land cover data; 1973, 1986, and 2013 were prepared and these data were used for base line, model calibration and change study respectively. The effects of these changes on high flow and low flow of the catchment have also been evaluated separately. The high flow of the catchment for these two decades was analyzed by using Annual Maximum (AM) model and the low flow was evaluated by seven day sustained low flow model. Both temperature and rainfall showed increasing trend; and then the extent of changes were evaluated in terms of monthly bases by using two decadal time periods; 1973-1982 was taken as baseline and 2004-2013 was used as change study. The efficiency of the model was determined by Nash-Sutcliffe (NS) and Relative Volume error (RVe) and their values were 0.65 and 0.032 for calibration and 0.62 and 0.0051 for validation respectively. The impact of climate change was higher than that of land use land cover change on stream flow of the catchment; the flow has been increasing by 16.86% and 7.25% due to climate and LULC change respectively, and the combined change effect accounted 22.13% flow increment. The overall results of the study indicated that Climate change is more responsible for high flow than low flow; and reversely the land use land cover change showed more significant effect on low flow than high flow of the catchment. From the result we conclude that the hydrology of the catchment has been altered because of changes of climate and land cover of the study area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate" title="climate">climate</a>, <a href="https://publications.waset.org/abstracts/search?q=LULC" title=" LULC"> LULC</a>, <a href="https://publications.waset.org/abstracts/search?q=SWAT" title=" SWAT"> SWAT</a>, <a href="https://publications.waset.org/abstracts/search?q=Ethiopia" title=" Ethiopia"> Ethiopia</a> </p> <a href="https://publications.waset.org/abstracts/27748/evaluating-the-effect-of-climate-change-and-land-usecover-change-on-catchment-hydrology-of-gumara-watershed-upper-blue-nile-basin-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27748.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">375</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8680</span> Dynamics Pattern of Land Use and Land Cover Change and Its Driving Factors Based on a Cellular Automata Markov Model: A Case Study at Ibb Governorate, Yemen</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdulkarem%20Qasem%20Dammag">Abdulkarem Qasem Dammag</a>, <a href="https://publications.waset.org/abstracts/search?q=Basema%20Qasim%20Dammag"> Basema Qasim Dammag</a>, <a href="https://publications.waset.org/abstracts/search?q=Jian%20Dai"> Jian Dai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Change in Land use and Land cover (LU/LC) has a profound impact on the area's natural, economic, and ecological development, and the search for drivers of land cover change is one of the fundamental issues of LU/LC change. The study aimed to assess the temporal and Spatio-temporal dynamics of LU/LC in the past and to predict the future using Landsat images by exploring the characteristics of different LU/LC types. Spatio-temporal patterns of LU/LC change in Ibb Governorate, Yemen, were analyzed based on RS and GIS from 1990, 2005, and 2020. A socioeconomic survey and key informant interviews were used to assess potential drivers of LU/LC. The results showed that from 1990 to 2020, the total area of vegetation land decreased by 5.3%, while the area of barren land, grassland, built-up area, and waterbody increased by 2.7%, 1.6%, 1.04%, and 0.06%, respectively. Based on socio-economic surveys and key informant interviews, natural factors had a significant and long-term impact on land change. In contrast, site construction and socio-economic factors were the main driving forces affecting land change in a short time scale. The analysis results have been linked to the CA-Markov Land Use simulation and forecasting model for the years 2035 and 2050. The simulation results revealed from the period 2020 to 2050, the trend of dynamic changes in land use, where the total area of barren land decreased by 7.0% and grassland by 0.2%, while the vegetation land, built-up area, and waterbody increased by 4.6%, 2.6%, and 0.1 %, respectively. Overall, these findings provide LULC's past and future trends and identify drivers, which can play an important role in sustainable land use planning and management by balancing and coordinating urban growth and land use and can also be used at the regional level in different levels to provide as a reference. In addition, the results provide scientific guidance to government departments and local decision-makers in future land-use planning through dynamic monitoring of LU/LC change. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LU%2FLC%20change" title="LU/LC change">LU/LC change</a>, <a href="https://publications.waset.org/abstracts/search?q=CA-Markov%20model" title=" CA-Markov model"> CA-Markov model</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20forces" title=" driving forces"> driving forces</a>, <a href="https://publications.waset.org/abstracts/search?q=change%20detection" title=" change detection"> change detection</a>, <a href="https://publications.waset.org/abstracts/search?q=LU%2FLC%20change%20simulation" title=" LU/LC change simulation"> LU/LC change simulation</a> </p> <a href="https://publications.waset.org/abstracts/179764/dynamics-pattern-of-land-use-and-land-cover-change-and-its-driving-factors-based-on-a-cellular-automata-markov-model-a-case-study-at-ibb-governorate-yemen" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/179764.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">64</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8679</span> The Relationship between Land Use Change and Runoff</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Thanutch%20Sukwimolseree">Thanutch Sukwimolseree</a>, <a href="https://publications.waset.org/abstracts/search?q=Preeyaphorn%20Kosa"> Preeyaphorn Kosa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Many problems are occurred in watershed due to human activity and economic development. The purpose is to determine the effects of the land use change on surface runoff using land use map on 1980, 2001 and 2008 and daily weather data during January 1, 1979 to September 30, 2010 applied to SWAT. The results can be presented that the polynomial equation is suitable to display that relationship. These equations for land use in 1980, 2001 and 2008 are consisted of y = -0.0076x5 + 0.1914x4–1.6386x3 + 6.6324x2–8.736x + 7.8023(R2 = 0.9255), y = -0.0298x5 + 0.8794x4 - 9.8056x3 + 51.99x2 - 117.04x + 96.797; (R2 = 0.9186) and y = -0.0277x5 + 0.8132x4 - 8.9598x3 + 46.498x2–101.83x +81.108 (R2 = 0.9006), respectively. Moreover, if the agricultural area is the largest area, it is a sensitive parameter to concern surface runoff. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=land%20use" title="land use">land use</a>, <a href="https://publications.waset.org/abstracts/search?q=runoff" title=" runoff"> runoff</a>, <a href="https://publications.waset.org/abstracts/search?q=SWAT" title=" SWAT"> SWAT</a>, <a href="https://publications.waset.org/abstracts/search?q=upper%20Mun%20River%20basin" title=" upper Mun River basin"> upper Mun River basin</a> </p> <a href="https://publications.waset.org/abstracts/3827/the-relationship-between-land-use-change-and-runoff" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3827.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">374</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8678</span> Multi-Temporal Remote Sensing of landscape Dynamics and Pattern Changes in Dire District, Southern Oromia, Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Berhanu">K. Berhanu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Improper land use results in land degradation and decline in agricultural productivity. Hence, in order to get maximum benefits out of land, proper utilization of its resources is inevitable. The present study was aimed at identifying the landcover changes in the study area in the last 25 years and determines the extent and direction of change that has occurred. The study made use of Landsat TM 1986 and 2011 Remote Sensing Satellite Image for analysis to determine the extent and pattern of rangeland change. The results of the landuse/landcover change detection showed that in the last 25 years, 3 major changes were observed, grassland and open shrub-land resource significantly decreased at a rate of 17.1km2/year and 12 km2/year/, respectively. On the other hand in 25 years dense bushland, open bush land, dense shrubland and cultivated land has shown increment in size at a rate of 0.23km2/year,13.5 km2/year, 6.3 km2/year and 0.2 km2/year, respectively within 25 years. The expansion of unpalatable woody species significantly reduced the rangeland size and availability of grasses. The consequence of the decrease in herbaceous biomass production might result in high risk of food insecurity in the area unless proper interventions are made in time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GIS%20and%20remote%20sensing" title="GIS and remote sensing">GIS and remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=Dire%20District" title=" Dire District"> Dire District</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%2Fland%20cover" title=" land use/land cover"> land use/land cover</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20sat%20TM" title=" land sat TM "> land sat TM </a> </p> <a href="https://publications.waset.org/abstracts/12049/multi-temporal-remote-sensing-of-landscape-dynamics-and-pattern-changes-in-dire-district-southern-oromia-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12049.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">299</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8677</span> The Impacts of Land Use Change and Extreme Precipitation Events on Ecosystem Services</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Szu-Hua%20Wang">Szu-Hua Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Urban areas contain abundant potential biochemical storages and renewable and non-renewable flows. Urban natural environments for breeding natural assets and urban economic development for maintaining urban functions can be analyzed form the concept of ecological economic system. Land use change and ecosystem services change are resulting from the interactions between human activities and environments factually. Land use change due to human activities is the major cause of climate change, leading to serious impacts on urban ecosystem services, including provisioning services, regulating services, cultural services and supporting services. However, it lacks discussion on the interactions among urban land use change, ecosystem services change, and extreme precipitation events. Energy synthesis can use the same measure standard unit, solar energy, for different energy resources (e.g. sunlight, water, fossil fuels, minerals, etc.) and analyze contributions of various natural environmental resources on human economic systems. Therefore, this research adopts the concept of ecological, economic systems and energy synthesis for analyzing dynamic spatial impacts of land use change on ecosystem services, using the Taipei area as a case study. The analysis results show that changes in land use in the Taipei area, especially the conversion of natural lands and agricultural lands to urban lands, affect the ecosystem services negatively. These negative effects become more significant during the extreme precipitation events. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20ecological%20economic%20system" title="urban ecological economic system">urban ecological economic system</a>, <a href="https://publications.waset.org/abstracts/search?q=extreme%20precipitation%20events" title=" extreme precipitation events"> extreme precipitation events</a>, <a href="https://publications.waset.org/abstracts/search?q=ecosystem%20services" title=" ecosystem services"> ecosystem services</a>, <a href="https://publications.waset.org/abstracts/search?q=energy" title=" energy"> energy</a> </p> <a href="https://publications.waset.org/abstracts/91043/the-impacts-of-land-use-change-and-extreme-precipitation-events-on-ecosystem-services" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91043.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">190</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8676</span> Population Dynamics and Land Use/Land Cover Change on the Chilalo-Galama Mountain Range, Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yusuf%20Jundi%20Sado">Yusuf Jundi Sado</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Changes in land use are mostly credited to human actions that result in negative impacts on biodiversity and ecosystem functions. This study aims to analyze the dynamics of land use and land cover changes for sustainable natural resources planning and management. Chilalo-Galama Mountain Range, Ethiopia. This study used Thematic Mapper 05 (TM) for 1986, 2001 and Landsat 8 (OLI) data 2017. Additionally, data from the Central Statistics Agency on human population growth were analyzed. Semi-Automatic classification plugin (SCP) in QGIS 3.2.3 software was used for image classification. Global positioning system, field observations and focus group discussions were used for ground verification. Land Use Land Cover (LU/LC) change analysis was using maximum likelihood supervised classification and changes were calculated for the 1986–2001 and the 2001–2017 and 1986-2017 periods. The results show that agricultural land increased from 27.85% (1986) to 44.43% and 51.32% in 2001 and 2017, respectively with the overall accuracies of 92% (1986), 90.36% (2001), and 88% (2017). On the other hand, forests decreased from 8.51% (1986) to 7.64 (2001) and 4.46% (2017), and grassland decreased from 37.47% (1986) to 15.22%, and 15.01% in 2001 and 2017, respectively. It indicates for the years 1986–2017 the largest area cover gain of agricultural land was obtained from grassland. The matrix also shows that shrubland gained land from agricultural land, afro-alpine, and forest land. Population dynamics is found to be one of the major driving forces for the LU/LU changes in the study area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Landsat" title="Landsat">Landsat</a>, <a href="https://publications.waset.org/abstracts/search?q=LU%2FLC%20change" title=" LU/LC change"> LU/LC change</a>, <a href="https://publications.waset.org/abstracts/search?q=Semi-Automatic%20classification%20plugin" title=" Semi-Automatic classification plugin"> Semi-Automatic classification plugin</a>, <a href="https://publications.waset.org/abstracts/search?q=population%20dynamics" title=" population dynamics"> population dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=Ethiopia" title=" Ethiopia"> Ethiopia</a> </p> <a href="https://publications.waset.org/abstracts/154607/population-dynamics-and-land-useland-cover-change-on-the-chilalo-galama-mountain-range-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154607.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">85</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8675</span> Spatio-Temporal Analysis of Land Use and Land Cover Change in the Cocoa Belt of Ondo State, southwestern Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Emmanuel%20Dada">Emmanuel Dada</a>, <a href="https://publications.waset.org/abstracts/search?q=Adebayo-Victoria%20Tobi%20Dada"> Adebayo-Victoria Tobi Dada</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study evaluates land use and land cover changes in the cocoa belt of Ondo state to quantify its effect on the expanse of land occupied by cocoa plantation as the most suitable region for cocoa raisin in Nigeria. Time series of satellite imagery from Landsat-7 ETM+ and Landsat-8 TIRS covering years 2000 and 2015 respectively were used. The study area was classified into six land use themes of cocoa plantation, settlement, water body, light forest and grassland, forest, and bar surface and rock outcrop. The analyses revealed that out of total land area of 997714 hectares of land of the study area, cocoa plantation land use increased by 10.3% in 2015 from 312260.6 ha in 2000. Forest land use also increased by 6.3% in 2015 from 152144.1 ha in the year 2000, water body reduced from 2954.5 ha in the year 2000 by 0.1% in 2015, settlement land use increased by 3% in 2015 from 15194.6 ha in 2000, light forest and grassland area reduced by 10.4% between 2000 and 2015 and 9.1% reduction in bar surface and rock outcrop land use between the year 2000 and 2015 respectively. The reasons for different ranges in the changes observed in the land use and land cover in the study area could be due to increase in the incentive to cocoa farmers from both government and non-governmental organizations, developed new cocoa breed that thrive better in the light forest, rapid increased in the population of cocoa farmers’ settlements, and government promulgation of forest reserve law. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=satellite%20imagery" title="satellite imagery">satellite imagery</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20and%20land%20cover%20change" title=" land use and land cover change"> land use and land cover change</a>, <a href="https://publications.waset.org/abstracts/search?q=area%20of%20land" title=" area of land"> area of land</a> </p> <a href="https://publications.waset.org/abstracts/83710/spatio-temporal-analysis-of-land-use-and-land-cover-change-in-the-cocoa-belt-of-ondo-state-southwestern-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83710.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">233</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8674</span> The Change of Urban Land Use/Cover Using Object Based Approach for Southern Bali</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=I.%20Gusti%20A.%20A.%20Rai%20Asmiwyati">I. Gusti A. A. Rai Asmiwyati</a>, <a href="https://publications.waset.org/abstracts/search?q=Robert%20J.%20Corner"> Robert J. Corner</a>, <a href="https://publications.waset.org/abstracts/search?q=Ashraf%20M.%20Dewan"> Ashraf M. Dewan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Change on land use/cover (LULC) dominantly affects spatial structure and function. It can have such impacts by disrupting social culture practice and disturbing physical elements. Thus, it has become essential to understand of the dynamics in time and space of LULC as it can be used as a critical input for developing sustainable LULC. This study was an attempt to map and monitor the LULC change in Bali Indonesia from 2003 to 2013. Using object based classification to improve the accuracy, and change detection, multi temporal land use/cover data were extracted from a set of ASTER satellite image. The overall accuracies of the classification maps of 2003 and 2013 were 86.99% and 80.36%, respectively. Built up area and paddy field were the dominant type of land use/cover in both years. Patch increase dominantly in 2003 illustrated the rapid paddy field fragmentation and the huge occurring transformation. This approach is new for the case of diverse urban features of Bali that has been growing fast and increased the classification accuracy than the manual pixel based classification. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=land%20use%2Fcover" title="land use/cover">land use/cover</a>, <a href="https://publications.waset.org/abstracts/search?q=urban" title=" urban"> urban</a>, <a href="https://publications.waset.org/abstracts/search?q=Bali" title=" Bali"> Bali</a>, <a href="https://publications.waset.org/abstracts/search?q=ASTER" title=" ASTER"> ASTER</a> </p> <a href="https://publications.waset.org/abstracts/20635/the-change-of-urban-land-usecover-using-object-based-approach-for-southern-bali" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20635.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">540</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8673</span> Land Use Planning Tool to Achieve Land Degradation Neutrality: Tunisia Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rafla%20Attia">Rafla Attia</a>, <a href="https://publications.waset.org/abstracts/search?q=Claudio%20Zucca"> Claudio Zucca</a>, <a href="https://publications.waset.org/abstracts/search?q=Bao%20Quang%20Le"> Bao Quang Le</a>, <a href="https://publications.waset.org/abstracts/search?q=Sana%20Dridi"> Sana Dridi</a>, <a href="https://publications.waset.org/abstracts/search?q=Thouraya%20Sahli"> Thouraya Sahli</a>, <a href="https://publications.waset.org/abstracts/search?q=Taoufik%20Hermassi"> Taoufik Hermassi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Tunisia, landscape change and land degradation are critical issues for landscape conservation, management, and planning. Landscapes are undergoing crucial environmental problems made evident by soil degradation and desertification. Human improper uses of land resources (e.g., unsuitable land uses, unsustainable crop intensification, and poor rangeland management) and climate change are the main factors leading to the landscape transformation and desertification affecting high proportions of the Tunisian lands. Land use planning (LUP) to achieve Land Degradation Neutrality (LDN) must be supported by methodologies and technologies that help identify best solutions and practices and design context-specific sustainable land management (SLM) strategies. Such strategies must include restoration or rehabilitation efforts in areas with high land degradation, as well as prevention of degradation that could be caused by improper land use (LU) and land management (LM). The geoinformatics Land Use Planning for LDN (LUP4LDN) tool has been designed for this purpose. Its aim is to support national and sub-national planners in i) mapping geographic patterns of current land degradation; ii) anticipating further future land degradation expected in areas that are unsustainably managed; and iii) providing an interactive procedure for developing participatory LU-LM transitional scenarios over selected regions of interest and timeframes, visualizing the related expected levels of impacts on ecosystem services via maps and graphs. The tool has been co-developed and piloted with national stakeholders in Tunisia. The piloting implementation assessed how the LUP4LDN tool fits with existing LUP processes and the benefits achieved by using the tool to support land use planning for LDN. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=land%20use%20system" title="land use system">land use system</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20cover" title=" land cover"> land cover</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20land%20management" title=" sustainable land management"> sustainable land management</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20planning%20for%20land%20degradation%20neutrality" title=" land use planning for land degradation neutrality"> land use planning for land degradation neutrality</a> </p> <a href="https://publications.waset.org/abstracts/162442/land-use-planning-tool-to-achieve-land-degradation-neutrality-tunisia-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162442.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">77</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8672</span> Land Use Change Detection Using Remote Sensing and GIS</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Naser%20Ahmadi%20Sani">Naser Ahmadi Sani</a>, <a href="https://publications.waset.org/abstracts/search?q=Karim%20Solaimani"> Karim Solaimani</a>, <a href="https://publications.waset.org/abstracts/search?q=Lida%20Razaghnia"> Lida Razaghnia</a>, <a href="https://publications.waset.org/abstracts/search?q=Jalal%20Zandi"> Jalal Zandi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent decades, rapid and incorrect changes in land-use have been associated with consequences such as natural resources degradation and environmental pollution. Detecting changes in land-use is one of the tools for natural resource management and assessment of changes in ecosystems. The target of this research is studying the land-use changes in Haraz basin with an area of 677000 hectares in a 15 years period (1996 to 2011) using LANDSAT data. Therefore, the quality of the images was first evaluated. Various enhancement methods for creating synthetic bonds were used in the analysis. Separate training sites were selected for each image. Then the images of each period were classified in 9 classes using supervised classification method and the maximum likelihood algorithm. Finally, the changes were extracted in GIS environment. The results showed that these changes are an alarm for the HARAZ basin status in future. The reason is that 27% of the area has been changed, which is related to changing the range lands to bare land and dry farming and also changing the dense forest to sparse forest, horticulture, farming land and residential area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Haraz%20basin" title="Haraz basin">Haraz basin</a>, <a href="https://publications.waset.org/abstracts/search?q=change%20detection" title=" change detection"> change detection</a>, <a href="https://publications.waset.org/abstracts/search?q=land-use" title=" land-use"> land-use</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20data" title=" satellite data"> satellite data</a> </p> <a href="https://publications.waset.org/abstracts/43014/land-use-change-detection-using-remote-sensing-and-gis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43014.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">415</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8671</span> Climate Change Adaptation in Agriculture: A General Equilibrium Analysis of Land Re-Allocation in Nepal</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sudarshan%20Chalise">Sudarshan Chalise</a>, <a href="https://publications.waset.org/abstracts/search?q=Athula%20Naranpanawa"> Athula Naranpanawa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper attempts to investigate the viability of cropland re-allocation as an adaptation strategy to minimise the economy-wide costs of climate change on agriculture. Nepal makes an interesting case study as it is one of the most vulnerable agricultural economies within South Asia. This paper develops a comparative static multi-household Computable General Equilibrium (CGE) model for Nepal with a nested set of Constant Elasticity of Transformation (CET) functional forms to model the allocation of land within different agricultural sectors. Land transformation elasticities in these CET functions are allowed to reflect the ease of switching from one crop to another based on their agronomic characteristics. The results suggest that, in the long run, farmers in Nepal tend to allocate land to crops that are comparatively less impacted by climate change, such as paddy, thereby minimizing the economy-wide impacts of climate change. Furthermore, the results reveal that land re-allocation tends to reduce the income disparity among different household groups by significantly moderating the income losses of rural marginal farmers. Therefore, it is suggested that policy makers in Nepal should prioritise schemes such as providing climate-smart paddy varieties (i.e., those that are resistant to heat, drought and floods) to farmers, subsidising fertilizers, improving agronomic practices, and educating farmers to switch from crops that are highly impacted by climate change to those that are not, such as paddy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20change" title="climate change">climate change</a>, <a href="https://publications.waset.org/abstracts/search?q=general%20equilibrium" title=" general equilibrium"> general equilibrium</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20re-allocation" title=" land re-allocation"> land re-allocation</a>, <a href="https://publications.waset.org/abstracts/search?q=nepalese%20agriculture" title=" nepalese agriculture"> nepalese agriculture</a> </p> <a href="https://publications.waset.org/abstracts/47578/climate-change-adaptation-in-agriculture-a-general-equilibrium-analysis-of-land-re-allocation-in-nepal" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47578.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">331</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8670</span> Photogrammetry and Topographic Information for Urban Growth and Change in Amman</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20M.%20S.%20Albattah">Mahmoud M. S. Albattah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Urbanization results in the expansion of administrative boundaries, mainly at the periphery, ultimately leading to changes in landcover. Agricultural land, naturally vegetated land, and other land types are converted into residential areas with a high density of constructs, such as transportation systems and housing. In urban regions of rapid growth and change, urban planners need regular information on up to date ground change. Amman (the capital of Jordan) is growing at unprecedented rates, creating extensive urban landscapes. Planners interact with these changes without having a global view of their impact. The use of aerial photographs and satellite images data combined with topographic information and field survey could provide effective information to develop urban change and growth inventory which could be explored towards producing a very important signature for the built-up area changes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=highway%20design" title="highway design">highway design</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20technologies" title=" satellite technologies"> satellite technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20segmentation" title=" image segmentation"> image segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=classification" title=" classification"> classification</a> </p> <a href="https://publications.waset.org/abstracts/6656/photogrammetry-and-topographic-information-for-urban-growth-and-change-in-amman" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6656.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">443</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8669</span> Sustainable Land Use Policy and Monitoring Urban Land Expansion in Kabul: A Case Study of Rapid Urbanization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Osama%20Hidayat">Osama Hidayat</a>, <a href="https://publications.waset.org/abstracts/search?q=Yoshitaka%20Kajiat"> Yoshitaka Kajiat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Kabul is a city that is highly representative of Afghanistan’s rapid urbanization process. As the city rapidly expands, there are enormous challenges to the sustainable use of land resources. This paper evaluates land use change and urban spatial expansion, from 1950 to 2016, in Kabul the capital of Afghanistan, using satellite images, field observation, and socio-economic data. The discussion covers the reduction in rural-to-urban land conversion, the delineation of urban growth boundaries, arable land reclamation and the establishment of farmland protection areas, urban upgrading, and the investigation and prosecution of illegal construction. This paper considers the aspects of urbanization and land management systems in Afghanistan. Efficient frames are outlined in Kabul for the following elements: governmental self-restraint and policy modification. The paper concludes that Kabul’s sustainable land use practices can provide a reference for other cities in Afghanistan. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20land%20expansion" title="urban land expansion">urban land expansion</a>, <a href="https://publications.waset.org/abstracts/search?q=urbanization" title=" urbanization"> urbanization</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20policy" title=" land use policy"> land use policy</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20development" title=" sustainable development"> sustainable development</a> </p> <a href="https://publications.waset.org/abstracts/105777/sustainable-land-use-policy-and-monitoring-urban-land-expansion-in-kabul-a-case-study-of-rapid-urbanization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/105777.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">165</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=land%20use%20change&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=land%20use%20change&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=land%20use%20change&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=land%20use%20change&page=5">5</a></li> <li class="page-item"><a class="page-link" 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