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High-resolution ERT data were collected along 28 uniformly distributed transects of variable length using the roll-along technique. A recently presented two-dimensional fast non-linear resistivity inversion algorithm was used to invert the ERT data and recover the true subsurface resistivity distribution along the specific cross-sections. The algorithm calculates and stores in an efficient manner the part of the Jacobian matrix that is actually important within the inversion procedure, thus rendering it almost 4.8 times faster than the algorithm that calculates the complete Jacobian matrix, without losing quality. The algorithm was further modified to account for any non-standard electrode configuration. A recently established iterative algorithm for sparse least squares problems (LSMR) was incorporated for the first time into the algorithm to solve the inverse resistivity problem. The effectiveness and robustness of the LSMR solver was highlighted through the processing of all the ERT lines. The processing and evaluation of the ERT data made it possible to map the thickness of the anthropogenic layer below the surface of the tell, to outline the horizontal and vertical dimensions of the palaeochannel adjacent to the tell, and to determine the general stratigraphy of geological layers up to 10 m below the ground surface. The ERT results also were used to update an older topographic map of the site showing the course of the palaeochannel around the tell. A synthetic model verified and enhanced the conclusions based on the field data. This study illustrates the added value that a systematic ERT survey can provide in reconstructing the ancient fluvial geomorphology of a microregion as well as the depth and horizontal extent of deposits associated with human habitation at archaeological sites. Figure 6. Surface maps showing the topographic relief of the different stratigraphic layers around the Szeghalom-Kovácshalom tell. (a) Thickness of the topsoil and anthropogenic Layer. (b) Thickness of the palaeochannel. (c) Thickness of the silty clay and silty clay with sand layer. (d) Burial depth of the deepest clayey layer. This figure is available in colour online at wileyonlinelibrary.com/journal/arp Figure 7. Overlay of the outline of the palaeochannel on an old topographic map of the tell. The solid and dashed lines indicate respectively the definite and prospective boundaries of the palaeochannel as extracted by the ERT survey. This figure is available in colour online at wileyonlinelibrary.com/journal/arp","publication_date":"2014,,","publication_name":"Archaeological Prospection","grobid_abstract_attachment_id":"42546631"},"document_type":"paper","pre_hit_view_count_baseline":null,"quality":"high","language":"en","title":"Papadopoulos, N.G., A. Sarris, W.A. Parkinson, A. Gyucha, R.W. Yerkes, P.R. Duffy and P. Tsourlos \t2014\tElectrical Resistivity Tomography for the Modelling of Cultural Deposits and Geomorphological Landscapes at Neolithic Sites. Archaeological Prospection 21:169-183.","broadcastable":true,"draft":null,"has_indexable_attachment":true,"indexable":true}}["work"]; window.loswp.workCoauthors = [224648]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "ds_vanilla"; window.loswp.fullPageMobileSutdModalVariant = "full_page_mobile_sutd_modal"; window.loswp.useOptimizedScribd4genScript = false; window.loginModal = {}; window.loginModal.appleClientId = 'edu.academia.applesignon';</script><script defer="" src="https://accounts.google.com/gsi/client"></script><div class="ds-loswp-container"><div class="ds-work-card--grid-container"><div class="ds-work-card--container js-loswp-work-card ds-work-card--prominent-pdf"><div class="ds-work-card--cover"><div class="ds-work-cover--wrapper"><div class="ds-work-cover--container"><button class="ds-work-cover--clickable js-swp-download-button" data-signup-modal="{"location":"swp-splash-paper-cover","attachmentId":42546631,"attachmentType":"pdf"}"><img alt="First page of “Papadopoulos, N.G., A. Sarris, W.A. Parkinson, A. Gyucha, R.W. Yerkes, P.R. Duffy and P. Tsourlos 2014 Electrical Resistivity Tomography for the Modelling of Cultural Deposits and Geomorphological Landscapes at Neolithic Sites. Archaeological Prospection 21:169-183.”" class="ds-work-cover--cover-thumbnail" src="https://0.academia-photos.com/attachment_thumbnails/42546631/mini_magick20190217-31041-z6u4wl.png?1550436938" /><img alt="PDF Icon" class="ds-work-cover--file-icon" src="//a.academia-assets.com/images/single_work_splash/adobe_icon.svg" /><div class="ds-work-cover--hover-container"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span><p>Download Free PDF</p></div><div class="ds-work-cover--ribbon-container">Download Free PDF</div><div class="ds-work-cover--ribbon-triangle"></div></button></div></div></div><div class="ds-work-card--work-information"><h1 class="ds-work-card--work-title">Papadopoulos, N.G., A. Sarris, W.A. Parkinson, A. Gyucha, R.W. Yerkes, P.R. Duffy and P. Tsourlos 2014 Electrical Resistivity Tomography for the Modelling of Cultural Deposits and Geomorphological Landscapes at Neolithic Sites. Archaeological Prospection 21:169-183.</h1><div class="ds-work-card--work-authors ds-work-card--detail"><a class="ds-work-card--author js-wsj-grid-card-author ds2-5-body-md ds2-5-body-link" data-author-id="224648" href="https://fieldmuseum.academia.edu/WilliamAParkinson"><img alt="Profile image of William A. Parkinson" class="ds-work-card--author-avatar" src="https://0.academia-photos.com/224648/50367/46365/s65_william_a..parkinson.jpeg" />William A. Parkinson</a></div><div class="ds-work-card--detail"><p class="ds-work-card--detail ds2-5-body-sm">2014, Archaeological Prospection</p><div class="ds-work-card--work-metadata"><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">visibility</span><p class="ds2-5-body-sm" id="work-metadata-view-count">…</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">description</span><p class="ds2-5-body-sm">15 pages</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">link</span><p class="ds2-5-body-sm">1 file</p></div></div><script>(async () => { const workId = 21781792; const worksViewsPath = "/v0/works/views?subdomain_param=api&work_ids%5B%5D=21781792"; const getWorkViews = async (workId) => { const response = await fetch(worksViewsPath); if (!response.ok) { throw new Error('Failed to load work views'); } const data = await response.json(); return data.views[workId]; }; // Get the view count for the work - we send this immediately rather than waiting for // the DOM to load, so it can be available as soon as possible (but without holding up // the backend or other resource requests, because it's a bit expensive and not critical). const viewCount = await getWorkViews(workId); const updateViewCount = (viewCount) => { try { const viewCountNumber = parseInt(viewCount, 10); if (viewCountNumber === 0) { // Remove the whole views element if there are zero views. document.getElementById('work-metadata-view-count')?.parentNode?.remove(); return; } const commaizedViewCount = viewCountNumber.toLocaleString(); const viewCountBody = document.getElementById('work-metadata-view-count'); if (!viewCountBody) { throw new Error('Failed to find work views element'); } viewCountBody.textContent = `${commaizedViewCount} views`; } catch (error) { // Remove the whole views element if there was some issue parsing. document.getElementById('work-metadata-view-count')?.parentNode?.remove(); throw new Error(`Failed to parse view count: ${viewCount}`, error); } }; // If the DOM is still loading, wait for it to be ready before updating the view count. if (document.readyState === "loading") { document.addEventListener('DOMContentLoaded', () => { updateViewCount(viewCount); }); // Otherwise, just update it immediately. } else { updateViewCount(viewCount); } })();</script></div><p class="ds-work-card--work-abstract ds-work-card--detail ds2-5-body-md">A large-scale electrical resistivity tomography (ERT) survey was undertaken around the Neolithic tell of Szeghalom-Kovácshalom in southeast Hungary, covering an area of almost 6 ha. High-resolution ERT data were collected along 28 uniformly distributed transects of variable length using the roll-along technique. A recently presented two-dimensional fast non-linear resistivity inversion algorithm was used to invert the ERT data and recover the true subsurface resistivity distribution along the specific cross-sections. The algorithm calculates and stores in an efficient manner the part of the Jacobian matrix that is actually important within the inversion procedure, thus rendering it almost 4.8 times faster than the algorithm that calculates the complete Jacobian matrix, without losing quality. The algorithm was further modified to account for any non-standard electrode configuration. A recently established iterative algorithm for sparse least squares problems (LSMR) was incorporated for the first time into the algorithm to solve the inverse resistivity problem. The effectiveness and robustness of the LSMR solver was highlighted through the processing of all the ERT lines. The processing and evaluation of the ERT data made it possible to map the thickness of the anthropogenic layer below the surface of the tell, to outline the horizontal and vertical dimensions of the palaeochannel adjacent to the tell, and to determine the general stratigraphy of geological layers up to 10 m below the ground surface. The ERT results also were used to update an older topographic map of the site showing the course of the palaeochannel around the tell. A synthetic model verified and enhanced the conclusions based on the field data. This study illustrates the added value that a systematic ERT survey can provide in reconstructing the ancient fluvial geomorphology of a microregion as well as the depth and horizontal extent of deposits associated with human habitation at archaeological sites. Figure 6. Surface maps showing the topographic relief of the different stratigraphic layers around the Szeghalom-Kovácshalom tell. (a) Thickness of the topsoil and anthropogenic Layer. (b) Thickness of the palaeochannel. (c) Thickness of the silty clay and silty clay with sand layer. (d) Burial depth of the deepest clayey layer. This figure is available in colour online at wileyonlinelibrary.com/journal/arp Figure 7. Overlay of the outline of the palaeochannel on an old topographic map of the tell. The solid and dashed lines indicate respectively the definite and prospective boundaries of the palaeochannel as extracted by the ERT survey. 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Geoinformation of the Environment (RSCy2015), 2015</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Feature enhancement from electrical resistivity data in an archaeological survey: the Sapelos hillfort experiment (Boticas, Portugal)","attachmentId":65840848,"attachmentType":"pdf","work_url":"https://www.academia.edu/45283786/Feature_enhancement_from_electrical_resistivity_data_in_an_archaeological_survey_the_Sapelos_hillfort_experiment_Boticas_Portugal_","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-related-work-grid-card-view-pdf" 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