[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3774":3,"related-3774":90},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":18,"tags":20,"primary_topic":25,"secondary_topics":31,"classification":32,"search_phrases":67,"slug":70,"view_count":71,"doi":72,"paper":73,"created_at":89},3774,"Mapping the Evolution of Urban Sprawl Research: A PRISMA-Based Systematic and Bibliometric Synthesis","https:\u002F\u002Fdoi.org\u002F10.46488\u002Fnept.2026.v25i04.b4435","Urban sprawl represents a major spatial manifestation of contemporary urbanization, reshaping land systems, ecological stability, and sustainability trajectories. This study presents a PRISMA-based systematic review combined with bibliometric and thematic synthesis to examine global urban sprawl research. Following structured screening of 183 records, 54 peer-reviewed journal articles were retained for detailed analysis. Bibliometric mapping using VOSviewer, quantitative comparison, and thematic synthesis were integrated to assess methodological evolution, geographic concentration, and sustainability integration. The findings reveal three developmental phases: an early exploratory stage, a consolidation phase dominated by spatial modeling, and a recent shift toward environmental and climaterelated assessment. Methodologically, Cellular Automata and CA–Markov models account for 40.74% of studies, followed by remote sensing change detection (25.93%), while spatial regression approaches remain limited (3.70%). Urban expansion magnitudes show substantial heterogeneity, with a mean built-up growth of 119.7% and a strongly right-skewed distribution (Sk = 1.97; K = 2.38). Reported growth ranges from below 20% to over 500%, frequently associated with agricultural land conversion and land surface temperature intensification. Classification accuracies typically range from 83% to 91%, indicating high technical reliability. Research output is geographically concentrated in Asia (61.11%), particularly in China and India, while governance-oriented scholarship remains comparatively underrepresented. Overlay analysis indicates an emerging focus on climate change and ecosystem impacts, yet institutional evaluation remains peripheral. Overall, the field demonstrates strong technical maturity but limited integration of policy assessment, underscoring the need for cross-scale causal modeling and standardized sustainability metrics.","城市蔓延是当代城市化的主要空间表现形式，重塑了土地系统、生态稳定性和可持续发展轨迹。本研究基于PRISMA框架开展系统综述，并结合文献计量与主题综合分析，考察全球城市蔓延研究。经过对183条记录的结构化筛选，最终保留54篇同行评审期刊论文进行详细分析。研究整合了基于VOSviewer的文献计量图谱、定量比较和主题综合分析，以评估方法论演进、地理集中度和可持续性整合情况。研究结果揭示了三个发展阶段：早期探索阶段、以空间建模为主导的巩固阶段，以及近期向环境与气候相关评估的转向。在方法论上，元胞自动机（Cellular Automata）和CA–Markov模型占研究的40.74%，其次是遥感变化检测（25.93%），而空间回归方法的运用仍然有限（3.70%）。城市扩张幅度呈现显著异质性，建成区平均增长率为119.7%，分布呈强右偏（Sk = 1.97；K = 2.38）。报告的增长范围从低于20%到超过500%，且常与农用地转换和地表温度加剧相关。分类精度通常在83%至91%之间，表明技术可靠性较高。研究成果在地理上集中于亚洲（61.11%），尤其是中国和印度，而面向治理的学术研究相对不足。叠加分析表明，气候变化和生态系统影响正成为新兴关注焦点，但制度评估仍处于边缘地位。总体而言，该领域展现出较强的技术成熟度，但政策评估的整合有限，凸显了跨尺度因果建模和标准化可持续性指标的必要性。",null,"Nature Environment and Pollution Technology","2026-09-28T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"该文为城市扩张研究的文献计量综述，属城市地理与生态环境领域，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[19],{"name":10,"url":6},[21,22,23,24],"文献计量","遥感监测","土地利用","城市扩张",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"classified","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":41},[38,46,53,61],{"code":39,"score":40,"supported":41,"title":42,"abstract":44,"tags":45},"I7",15,true,[43],"bibliometric",[21,43],[21],{"code":26,"score":47,"supported":41,"title":48,"abstract":49,"tags":52},7,[],[50,51],"遥感","remote sensing",[22],{"code":54,"score":55,"supported":41,"title":56,"abstract":57,"tags":60},"H7",6,[],[58,59],"气候变化","climate change",[],{"code":62,"score":63,"supported":14,"title":64,"abstract":65,"tags":66},"H6",1,[],[],[23],[68,69],"土地利用 城市扩张 文献计量 遥感监测","土地利用 城市扩张","土地利用城市扩张文献计量遥感监测-3774",3,"10.46488\u002Fnept.2026.v25i04.b4435",{"doi":72,"openalex_id":74,"authors":75,"venue":10,"cited_by_count":15,"oa_url":6,"card":81,"direction":87,"ingested_from":88},"W7214666438",[76,79],{"name":77,"orcid":78},"Jaswant Singh","https:\u002F\u002Forcid.org\u002F0009-0003-4653-4972",{"name":80,"orcid":9},"Kranti Kumar Maurya",{"tldr":82,"method":83,"finding":84,"direction":85,"opportunity":86},"基于PRISMA系统综述与文献计量，梳理全球城市蔓延研究的演化阶段、方法分布与地理格局。","PRISMA筛选54篇文献，结合VOSviewer文献计量、定量比较与主题综合。","研究历经三阶段，CA与CA-Markov占40.74%，成果集中于亚洲，政策评估与制度研究薄弱。","农业绿色发展与碳","可结合遥感与因果建模，研究城市蔓延导致的农地转换、地表升温及跨尺度可持续性评估。","智慧农业 \u002F 农业物联网","openalex","2026-09-29T23:30:10.523829Z",{"total":55,"page":63,"page_size":55,"items":91},[92,137,187,257,319,366],{"id":93,"title":94,"url":95,"summary":96,"summary_zh":97,"content":9,"source_name":98,"source_url":95,"published_at":99,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":100,"sources":102,"tags":104,"primary_topic":105,"secondary_topics":106,"classification":107,"search_phrases":118,"slug":121,"view_count":15,"doi":122,"paper":123,"created_at":136},5094,"An Investigation of Built-up Area Expansion in the Syrian Coastal Mountain Environment","https:\u002F\u002Fdoi.org\u002F10.14246\u002Firspsd.14.4_109","As built-up expansion in the Syrian coastal mountainous areas intensifies, its environmental impacts are becoming increasingly severe. Existing research, however, offers limited quantitative evidence to elucidate the dynamics of this phenomenon. This study addresses this gap by employing mixed-method techniques at the district level of Safita. Landsat satellite imagery, remote sensing, and ArcGIS software were used to classify and analyze geospatial data from 2010 to 2020. Statistical methodologies were then applied to investigate spatio-temporal built-up growth, identify the drivers of expansion, and evaluate resultant spatial patterns. The analysis reveals accelerated built-up expansion, with the most dramatic growth occurring in southern peripheral zones, recording increases of 150-169%. The study identifies a persistent trend of low-density, dispersed sprawl following a non-linear trajectory, evidenced by Shannon's entropy increasing steadily to 0.89 by 2020. Analysis of Urban Expansion Rate and Intensity indices shows a distinct shift from moderate, semi-efficient growth (2010–2015) to rapid and extensive sprawl (2015–2020). Furthermore, the Built-up Expansion Index demonstrates an evolution from initial economically driven leapfrog expansion through conflict-induced infilling consolidation to a final hybrid pattern combining edge-expansion and ribbon development. Kernel Density Estimation reveals a fundamental spatial transformation from semi-concentrated hotspots to widespread medium-density sprawl, strongly constrained by physical factors. Specifically, 93% of built-up areas concentrated on gentle slopes (0-15%), and 68% were located within 200 meters of road networks. These findings underscore the urgent need for planning decision-makers to implement strict regulatory measures that curb built-up sprawl, protect agricultural lands and natural resources, and guide growth through updated master plans to achieve sustainable development.","随着叙利亚沿海山区建成区扩张不断加剧，其环境影响日益严重。然而，现有研究在阐明这一现象的动态方面提供的定量证据有限。本研究通过在萨菲塔区级层面采用混合方法技术来填补这一空白。利用Landsat卫星影像、遥感技术和ArcGIS软件对2010年至2020年的地理空间数据进行分类和分析。随后应用统计方法研究建成区的时空增长，识别扩张的驱动因素，并评估由此产生的空间格局。分析揭示了建成区扩张的加速，最显著的增长发生在南部边缘地带，增幅达150%至169%。研究识别出低密度、分散式蔓延的持续趋势，呈非线性轨迹，香农熵（Shannon's entropy）到2020年稳步上升至0.89即为明证。城市扩张速率和强度指数的分析显示，从2010至2015年的温和、半高效增长明显转向2015至2020年的快速、广泛蔓延。此外，建成区扩张指数（Built-up Expansion Index）表明，扩张从最初经济驱动的跳跃式扩展，经过冲突引发的填充式整合，演变为边缘扩展与带状发展相结合的最终混合模式。核密度估计（Kernel Density Estimation）揭示了从半集中热点向广泛中密度蔓延的根本性空间转变，且受自然因素的强烈制约。具体而言，93%的建成区集中在缓坡（0-15%）上，68%位于道路网络200米范围内。这些发现凸显了规划决策者迫切需要实施严格的监管措施，以遏制建成区蔓延，保护农田和自然资源，并通过更新总体规划引导增长，以实现可持续发展。","International Review for Spatial Planning and Sustainable Development","2026-10-14T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":101},"研究叙利亚沿海山区建成区扩张，属城市规划与环境领域，与三农、农业信息化、数字乡村无关。",[103],{"name":98,"url":95},[22,23,24],{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":108},{"candidates":109,"agricultural_evidence":41},[110,114],{"code":26,"score":47,"supported":41,"title":111,"abstract":112,"tags":113},[],[50,51],[22],{"code":62,"score":63,"supported":14,"title":115,"abstract":116,"tags":117},[],[],[23],[119,120],"叙利亚沿海山区 建成区扩张","Safita 遥感 土地利用","叙利亚沿海山区建成区扩张-5094","10.14246\u002Firspsd.14.4_109",{"doi":122,"openalex_id":124,"authors":125,"venue":98,"cited_by_count":15,"oa_url":129,"card":130,"direction":134,"ingested_from":88},"W7221786958",[126],{"name":127,"orcid":128},"Tarek Rahmoun","https:\u002F\u002Forcid.org\u002F0000-0001-5112-2487","https:\u002F\u002Fwww.jstage.jst.go.jp\u002Farticle\u002Firspsd\u002F14\u002F4\u002F14_6\u002F_pdf",{"tldr":131,"method":132,"finding":133,"direction":134,"opportunity":135},"研究叙利亚沿海山区萨菲塔地区2010-2020年建设用地扩张动态、驱动因素与空间格局。","Landsat影像、遥感与ArcGIS分类，结合统计方法分析时空扩张。","建设用地加速低密度蔓延，93%集中于缓坡、68%靠近道路，熵值升至0.89。","农业遥感与作物表型","可结合遥感与机器学习，量化山区建设用地扩张对农地流失和生态的长期影响。","2026-10-16T23:30:28.556800Z",{"id":138,"title":139,"url":140,"summary":141,"summary_zh":142,"content":9,"source_name":143,"source_url":140,"published_at":144,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":145,"sources":147,"tags":149,"primary_topic":150,"secondary_topics":151,"classification":152,"search_phrases":170,"slug":172,"view_count":63,"doi":173,"paper":174,"created_at":186},4679,"Spatio-temporal variation of urban sprawl in Tura town using the Shannon entropy model","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23277607","Abstract Urbanization is driving substantial transformation of cities worldwide, with unmanaged expansion often resulting in urban sprawl and the loss of agricultural land, forests, and environmentally sensitive areas. Tura Town, headquarters of West Garo Hills District, has experienced steady urban growth over the past two decades, yet few studies have examined its expansion pattern. This study aims to analyse the spatio-temporal variation and assessing the degree and directional patterns of urban sprawl from 2006 to 2026 using Remote Sensing, GIS, and Shannon's Entropy Index. Landsat imagery was classified into LULC categories, with accuracy validated through a confusion matrix, achieving satisfactory results (77–81%). Built-up area increased from 10 km² to 17 km²—a 70% rise, with faster growth occurring during 2006–2016 (40%) than 2016–2026 (21.4%). Shannon's Entropy Index revealed the compactness or dispersal of growth, while buffer and directional analyses identified expansion patterns. The findings offer valuable insights for sustainable urban planning and land-use management in Tura Town. Keyword: Urban sprawl, Urbanization, Land use\u002Fland cover (LULC), Remote Sensing, GIS, Shannon's Entropy Index, Built-up area, Tura Town, Spatio-temporal analysis, Sustainable urban planning","摘要 城市化正推动全球城市发生深刻转型，而无序扩张往往导致城市蔓延以及农田、森林和环境敏感区域的丧失。作为西加罗丘陵县首府的图拉镇，过去二十年经历了稳定的城市增长，但对其扩张模式的研究却很少。本研究旨在利用遥感、地理信息系统和香农熵指数，分析2006年至2026年城市蔓延的时空变化，并评估其程度与方向性模式。研究将Landsat影像分类为土地利用\u002F土地覆盖（LULC）类别，并通过混淆矩阵验证精度，取得了令人满意的结果（77%–81%）。建成区面积从10平方公里增至17平方公里，增长了70%，其中2006—2016年（40%）的增长快于2016—2026年（21.4%）。香农熵指数揭示了增长的紧凑或分散特征，而缓冲区和方向性分析则识别了扩张模式。研究结果为图拉镇的可持续城市规划和土地利用管理提供了有价值的见解。关键词：城市蔓延，城市化，土地利用\u002F土地覆盖（LULC），遥感，地理信息系统，香农熵指数，建成区，图拉镇，时空分析，可持续城市规划","Zenodo (CERN European Organization for Nuclear Research)","2026-10-10T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":146},"该论文研究印度图拉镇城市扩张的遥感与熵模型分析，属城市地理与土地利用范畴，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[148],{"name":143,"url":140},[22,23,24],{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":153},{"candidates":154,"agricultural_evidence":41},[155,159,166],{"code":26,"score":47,"supported":41,"title":156,"abstract":157,"tags":158},[],[50,51],[22],{"code":160,"score":55,"supported":41,"title":161,"abstract":162,"tags":165},"I4",[],[163,164],"地理信息","GIS",[],{"code":62,"score":63,"supported":14,"title":167,"abstract":168,"tags":169},[],[],[23],[171,69],"土地利用 城市扩张 遥感监测","土地利用城市扩张遥感监测-4679","10.5281\u002Fzenodo.23277607",{"doi":173,"openalex_id":175,"authors":176,"venue":143,"cited_by_count":15,"oa_url":140,"card":181,"direction":134,"ingested_from":88},"W7221355035",[177,179],{"name":178,"orcid":9},"Kambai Ch. Marak",{"name":180,"orcid":9},"Bring Blessing L Ryntathiang",{"tldr":182,"method":183,"finding":184,"direction":134,"opportunity":185},"用遥感、GIS和香农熵分析印度图拉镇2006-2026年城市蔓延的时空变化。","Landsat影像分类LULC，混淆矩阵验证精度77-81%，结合香农熵、缓冲与","建成区从10增至17平方公里（增70%），2006-2016年增长快于2016-2026年，熵值揭示","可结合耕地流失与农业用地破碎化，评估城市蔓延对农业生态系统的长期影响。","2026-10-11T23:30:30.230545Z",{"id":188,"title":189,"url":190,"summary":191,"summary_zh":192,"content":9,"source_name":193,"source_url":190,"published_at":194,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":195,"sources":197,"tags":199,"primary_topic":201,"secondary_topics":202,"classification":207,"search_phrases":234,"slug":237,"view_count":238,"doi":239,"paper":240,"created_at":256},3071,"Urban Influence on Landscape Transformation and Land Cover Interactions During Urban Expansion (1972–2022): A Remote Sensing and GIS-Based Analysis","https:\u002F\u002Fdoi.org\u002F10.2478\u002Fjlecol-2026-0038","Abstract This study investigates how urban expansion influences land cover dynamics. An interactive analytical approach was adopted to examine the transitions among built-up areas, cropland, and bare land throughout the urbanization process. Remote Sensing and GIS techniques, in conjunction with the Land Transfer Matrix (LTM), Landscape Metrics (LM), Multi-buffer Ring (MBR) and complementary spatial tools, were employed to analyze the city of Tiaret in Algeria over the past half century (1972-2022). The results reveal a marked intensification of urbanization, with an Overall Average Annual Urban Expansion Rate (OA-AUER) of 28.3 ha and a concurrent rise in bare land driven by cropland conversion under urban pressure. Notably, 89.4 % of cropland loss initially transitions into bare land, while subsequent urban development originates from cropland (52 %) and bare land (47 %). The observed density patterns in peripheral areas confirm the significant influence of the urban core on surrounding land-cover transformations. These findings elucidate the urbanization process while considering the transitional role of bare land and further explain diffusion coalescence process. Further empirical research is recommended to refine theoretical frameworks on landscape transformation dynamics and to inform policies aimed at mitigating bare-land expansion in peri-urban areas, controlling cropland urbanization, and planning sustainable urban growth.","摘要 本研究探讨城市扩张如何影响土地覆盖动态。采用交互式分析方法，考察城市化进程中建成区、耕地和裸地之间的转换。运用遥感与地理信息系统技术，结合土地转移矩阵（LTM）、景观格局指数（LM）、多缓冲环（MBR）及辅助空间工具，对阿尔及利亚提亚雷特市过去半个世纪（1972—2022年）的变化进行了分析。结果表明，城市化显著加剧，年均城市扩张总面积率（OA-AUER）为28.3公顷，同时在城市压力下耕地转换导致裸地同步增加。值得注意的是，89.4%的耕地损失最初转变为裸地，而随后的城市发展来源于耕地（52%）和裸地（47%）。外围区域观测到的密度格局证实了城市核心对周边土地覆盖变化的显著影响。这些发现阐明了城市化过程，同时考虑了裸地的过渡性作用，并进一步解释了扩散聚合过程。建议开展进一步实证研究，以完善景观转型动态的理论框架，并为旨在减缓城郊地区裸地扩张、控制耕地城市化以及规划可持续城市增长的政策提供依据。","Journal of Landscape Ecology","2026-09-19T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":196},"该论文聚焦阿尔及利亚Tiaret市城市扩张与土地覆盖变化，属城市地理与遥感应用研究，与三农、农业信息化、智慧农业主题无直接关联，不建议进入每日精选。",[198],{"name":193,"url":190},[200,22,23,24],"耕地保护",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[203],{"code":160,"slug":204,"name":205,"path":206,"parent_code":30},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",{"status":33,"locked":14,"version":34,"method":35,"evidence":208},{"candidates":209,"agricultural_evidence":41},[210,214,219,225,230],{"code":26,"score":40,"supported":41,"title":211,"abstract":212,"tags":213},[51],[50,51],[22],{"code":160,"score":215,"supported":41,"title":216,"abstract":217,"tags":218},14,[164],[163,164],[],{"code":220,"score":71,"supported":41,"title":221,"abstract":222,"tags":224},"G2",[],[223],"land transfer",[],{"code":226,"score":63,"supported":14,"title":227,"abstract":228,"tags":229},"H1",[],[],[200],{"code":62,"score":63,"supported":14,"title":231,"abstract":232,"tags":233},[],[],[23],[235,236],"Tiaret 城市扩张 遥感","耕地 建设用地 转移矩阵","Tiaret城市扩张遥感-3071",9,"10.2478\u002Fjlecol-2026-0038",{"doi":239,"openalex_id":241,"authors":242,"venue":193,"cited_by_count":15,"oa_url":250,"card":251,"direction":134,"ingested_from":88},"W7213652939",[243,245,247],{"name":244,"orcid":9},"Amina Kalbaza",{"name":246,"orcid":9},"Belkacem Marir",{"name":248,"orcid":249},"Farida Naceur","https:\u002F\u002Forcid.org\u002F0009-0004-1962-4937","https:\u002F\u002Freference-global.com\u002Fdownload\u002Farticle\u002F10.2478\u002Fjlecol-2026-0038.pdf",{"tldr":252,"method":253,"finding":254,"direction":134,"opportunity":255},"基于遥感与GIS分析阿尔及利亚提亚雷特1972—2022年城市扩张对景观与土地覆盖的影响。","遥感、GIS、土地转移矩阵、景观格局指数与多缓冲环分析。","耕地先转为裸地再被城市占用，城市核心显著驱动外围土地覆盖转变。","可延伸研究裸地作为耕地—城市转换中间态的机制，并构建城郊耕地流失预警模型。","2026-09-21T23:30:24.332177Z",{"id":258,"title":259,"url":260,"summary":261,"summary_zh":262,"content":9,"source_name":263,"source_url":260,"published_at":264,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":265,"score_detail":266,"sources":270,"tags":272,"primary_topic":273,"secondary_topics":274,"classification":275,"search_phrases":295,"slug":297,"view_count":298,"doi":299,"paper":300,"created_at":318},2784,"Monitoring & Evaluating of Urban Expansion and Its Impact on Land use Land Cover Change of Sargodha, Pakistan (2000-2025)","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fjgst.2.9(s).2026.624","Urban growth is a significant land-use transition that is taking place in many rapidly growing cities, especially where the expansion is taking place on productive agricultural land. The purpose of this research was to explore the Spatio-temporal pattern of urban expansion and changes in land use\u002Fland cover (LULC) in Sargodha Tehsil, Pakistan, for the period 2000-2025. This study used the remote sensing and GIS techniques to analyze the satellite imageries of 6 years. These years include 2000, 2005, 2010, 2015, 2020 and 2025. The study area covered an expanse of 1536 km² and comprised four land use\u002Fland cover (LULC) classes, including agricultural land, built-up area, barren land, and water bodies. The study used supervised classification Maximum likelihood classifier (MLC) to identify the dominant land use and land cover types and determine the percentage of the region that was covered by each class. The results show that there is a growing trend in the built-up area throughout the years. It increased from 115 km² in 2000 to 180 km² in 2005, 233 km² in 2010, 297 km² in 2015, 361 km² in 2020, and 440 km² in 2025. Thus, it can be stated that there was an increase in the built-up area by 325 km² or 282.6% over the studied period. In contrast, the amount of farmland decreased from 1,014 km² to 815 km² or 199 km². The area of barren land decreased as well from 280 km² to 153 km². At the same time, there was no significant change in the amount of water bodies from 127 km² to 128 km². Findings reveal a significant change from a primarily agricultural region to a region with a considerable presence of developed areas and emphasize the increasing pressure on productive land. The research underlines the significance of planned urbanization, protection of productive agricultural lands, regular geospatial monitoring, and appropriate management of the periphery belt.","城市增长是许多快速发展的城市正在经历的重要土地利用转变，尤其是在生产力较高的农业用地上发生扩张的地区。本研究旨在探讨巴基斯坦萨戈达县（Sargodha Tehsil）2000—2025年期间城市扩张的时空格局及土地利用\u002F土地覆盖（LULC）变化。本研究采用遥感与GIS技术，对6个年份的卫星影像进行了分析，包括2000年、2005年、2010年、2015年、2020年和2025年。研究区面积为1536 km²，涵盖四种土地利用\u002F土地覆盖（LULC）类型，包括农业用地、建设用地、裸地和水体。研究采用监督分类中的最大似然分类器（MLC）识别主要土地利用与土地覆盖类型，并确定各类型所占区域百分比。结果表明，建设用地面积在各年份间呈持续增长趋势，从2000年的115 km²增至2005年的180 km²、2010年的233 km²、2015年的297 km²、2020年的361 km²，以及2025年的440 km²。因此可以认为，在研究期间建设用地面积增加了325 km²，增幅达282.6%。相比之下，农田面积从1014 km²减少至815 km²，减少了199 km²。裸地面积也从280 km²减少至153 km²。与此同时，水体面积从127 km²变化至128 km²，没有显著变化。研究结果揭示了该区域从以农业为主向建设用地显著增加的区域发生了重大转变，并凸显了生产性土地日益增大的压力。本研究强调了有计划城市化、保护生产性农业用地、定期地理空间监测以及对外围地带进行适当管理的重要性。","Journal of Global Social Transformation","2026-09-17T00:00:00Z",55,{"impact":267,"substance":268,"depth":215,"authority":55,"freshness":238,"relevant":63,"comment":269},8,18,"基于遥感与GIS的巴基斯坦城市扩张对农用地影响研究，数据翔实但属区域案例，对国内三农信息化参考价值有限。",[271],{"name":263,"url":260},[200,22,23,164,24],{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":276},{"candidates":277,"agricultural_evidence":41},[278,282,287,291],{"code":26,"score":47,"supported":41,"title":279,"abstract":280,"tags":281},[],[50,51],[22],{"code":160,"score":283,"supported":41,"title":284,"abstract":285,"tags":286},4,[],[164],[164],{"code":226,"score":63,"supported":14,"title":288,"abstract":289,"tags":290},[],[],[200],{"code":62,"score":63,"supported":14,"title":292,"abstract":293,"tags":294},[],[],[23],[296,69],"土地利用 城市扩张 耕地保护 遥感监测","土地利用城市扩张耕地保护遥感监测-2784",2,"10.71317\u002Fjgst.2.9(s).2026.624",{"doi":299,"openalex_id":301,"authors":302,"venue":263,"cited_by_count":15,"oa_url":260,"card":313,"direction":134,"ingested_from":88},"W7213443079",[303,305,308,310],{"name":304,"orcid":9},"Muhammad Israr",{"name":306,"orcid":307},"Omar Riaz","https:\u002F\u002Forcid.org\u002F0000-0002-5391-109X",{"name":309,"orcid":9},"Muhammad Safeer Hussain",{"name":311,"orcid":312},"Muhammad Imran","https:\u002F\u002Forcid.org\u002F0000-0003-4072-4997",{"tldr":314,"method":315,"finding":316,"direction":134,"opportunity":317},"用遥感与GIS分析巴基斯坦萨戈达2000-2025年城市扩张及土地利用变化。","6期Landsat影像，最大似然监督分类，提取四类LULC并统计面积。","建设用地增325km²（282.6%），耕地减199km²，城市扩张大量侵占优质农田。","可结合耕地质量与作物生产力数据，量化城市扩张对农业产能的具体损失并构建预警模型。","2026-09-17T23:30:34.285631Z",{"id":320,"title":321,"url":322,"summary":323,"summary_zh":324,"content":9,"source_name":325,"source_url":322,"published_at":326,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":327,"sources":329,"tags":331,"primary_topic":334,"secondary_topics":335,"classification":336,"search_phrases":347,"slug":350,"view_count":63,"doi":351,"paper":352,"created_at":365},2067,"Urban transformation in a Himalayan Metropolitan City: Socio-spatial dynamics and planning implications from Srinagar, India","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.cacint.2026.100464","Srinagar is one of the largest metropolitan centres in the Indian Himalayan region, with a population exceeding one million. This study examines urban transformation between 1985 and 2025 using an integrated socio-spatial framework combining remote sensing and socio-economic datasets. It analyses built-up expansion, land valuation, population change, spatial accessibility, and tourism trends to understand long-term metropolitan restructuring. The results show a substantial increase in built-up area from 7930 ha in 1985 to 19,956 ha in 2025, accompanied by a continuous decline in non built-up land. Urban growth has evolved from a predominantly compact core toward a more dispersed and corridor-oriented spatial pattern, with expansion occurring in association with transport connectivity, accessibility gradients, and peripheral land-use change. Land values represented by official circle rates across residential, commercial, and agricultural categories increased substantially between 2013 and 2026, indicating rising land valuation and spatial differentiation in development pressure. Population increased from 126,344 in 1911 to 1,219,516 in 2011 and is projected to reach 1,795,174 by 2031, while the level of urbanisation increased from 61.76% to 99.45%. Tourist arrivals increased from 10,580 in 1951 to 2,986,780 in 2024, demonstrating the growing significance of tourism within the regional economy. The findings indicate that Srinagar's urban transformation reflects the interaction of spatial expansion, accessibility, land-market dynamics, demographic change, and tourism rather than population growth alone. The study highlights the need for integrated and regulated urban planning approaches to manage metropolitan expansion in the environmentally sensitive Himalayan region and provides a transferable framework for analysing long term urban dynamics and supporting sustainable urban management in mountain cities.","斯利那加是印度喜马拉雅地区最大的大都市中心之一，人口超过一百万。本研究采用遥感与社会经济数据集相结合的综合社会—空间框架，考察1985年至2025年间的城市转型。研究分析了建成区扩张、土地估值、人口变化、空间可达性和旅游趋势，以理解长期的大都市重构过程。结果表明，建成区面积从1985年的7930公顷大幅增加至2025年的19956公顷，同时非建成区土地持续减少。城市增长已从以紧凑核心区为主，演变为更加分散且沿走廊导向的空间格局，其扩张与交通连通性、可达性梯度及边缘土地利用变化相关联。2013年至2026年间，住宅、商业和农业类别的官方基准地价所反映的土地价值大幅上升，表明土地估值上升及发展压力的空间分异。人口从1911年的126344人增加至2011年的1219516人，预计到2031年将达到1795174人，而城市化水平从61.76%上升至99.45%。游客到访量从1951年的10580人次增加至2024年的2986780人次，表明旅游业在区域经济中的重要性日益增强。研究结果表明，斯利那加的城市转型反映的是空间扩张、可达性、土地市场动态、人口变化和旅游业之间的相互作用，而非仅由人口增长所致。本研究强调，需要在环境敏感的喜马拉雅地区采取综合且受监管的城市规划方法来管理大都市扩张，并为分析长期城市动态及支持山地城市可持续城市管理提供了一个可迁移的框架。","City and Environment Interactions","2026-09-07T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":328},"研究印度斯利那加城市空间演变，属城市地理与规划领域，与三农、农业信息化、数字乡村无直接关联，不建议进入每日精选。",[330],{"name":325,"url":322},[22,23,24,332,333],"人口变化","山地城市",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":337},{"candidates":338,"agricultural_evidence":41},[339,343],{"code":26,"score":47,"supported":41,"title":340,"abstract":341,"tags":342},[],[50,51],[22],{"code":62,"score":63,"supported":14,"title":344,"abstract":345,"tags":346},[],[],[23],[348,349],"人口变化 土地利用 城市扩张 山地城市","人口变化 土地利用","人口变化土地利用城市扩张山地城市-2067","10.1016\u002Fj.cacint.2026.100464",{"doi":351,"openalex_id":353,"authors":354,"venue":325,"cited_by_count":15,"oa_url":358,"card":359,"direction":134,"ingested_from":88},"W7211881163",[355],{"name":356,"orcid":357},"Altaf Hussain","https:\u002F\u002Forcid.org\u002F0000-0002-7960-5621","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2590252026001716\u002Fpdf",{"tldr":360,"method":361,"finding":362,"direction":363,"opportunity":364},"基于遥感与社会经济数据，分析斯利那加1985-2025年城市扩张、地价、人口与旅游动态。","遥感与社会经济数据集，结合建成区、地价、可达性、人口和旅游趋势分析。","建成区从7930公顷增至19956公顷，城市由紧凑核心转向分散走廊式扩张，地价与旅游显著增长。","数字乡村与农业信息化","可借鉴其多源数据融合框架，研究山区城市扩张对农业用地与乡村生计的耦合影响。","2026-09-10T23:30:31.626380Z",{"id":367,"title":368,"url":369,"summary":370,"summary_zh":371,"content":9,"source_name":372,"source_url":369,"published_at":373,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":374,"sources":376,"tags":378,"primary_topic":381,"secondary_topics":382,"classification":383,"search_phrases":403,"slug":406,"view_count":15,"doi":407,"paper":408,"created_at":436},5390,"Land use and socio-economic changes caused by riverbank erosion - case study: Obrenovac municipality, Serbia","https:\u002F\u002Fdoi.org\u002F10.59954\u002Fstnv.797","Lateral bank erosion of meandering rivers represents a significant geomorphological process in the lower part of the Kolubara River Basin in Serbia. This process directly impacts land-use and agricultural productivity and lead to broader environmental, socioeconomic, and demographic changes. Historically, the Kolubara riverbanks have been intensively used for agriculture. Today, lateral channel migration and riverbank erosion, driven by the interaction between natural process and human activities, directly threaten traditionally active land plots along the river. This study investigates the long-term dynamics of riverbank erosion along the four active meanders of the Kolubara River in Obrenovac Municipality over a 97-year period (1930–2026). Main tasks include quantification of lateral channel migration and land loss rates, analysis of land-use changes within the endangered plots, and an investigation of socioeconomic consequences and demographic dynamics in affected settlements. The methodological framework integrates cadastral maps analysis, remote sensing techniques (UAVs), and GIS software, with analysis of demographic and land-use data. The results indicate that maximum lateral channel migration reached 259.3 m during the observed period, while the total land loss amounted to 17.6 ha, consisting mostly of arable land. This reduction has directly affected the local agricultural sector, resulting in an estimated land loss value of approximately 24,122 USD. Demographic analysis reveals population decline exceeding 40% in the analysed settlements (Draževac, Konatice and Poljane) between 1961 and 2022, from over 90% of the economically active population in 1961 to less than 2% in 2022. Ultimately, by highlighting the socioeconomic impacts of riverbank erosion such as irreversible agricultural land loss and rural livelihood disruption, these findings offer valuable insights for spatial planning and sustainable land management.","蜿蜒河流的侧向河岸侵蚀是塞尔维亚科卢巴拉河（Kolubara River）流域下游一个重要的地貌过程。该过程直接影响土地利用和农业生产力，并引发更广泛的环境、社会经济和人口变化。历史上，科卢巴拉河岸曾被密集用于农业生产。如今，在自然过程与人类活动相互作用驱动下的侧向河道迁移和河岸侵蚀，直接威胁着沿河传统上活跃的地块。本研究考察了奥布雷诺瓦茨市（Obrenovac Municipality）科卢巴拉河四个活跃曲流段在97年期间（1930—2026年）河岸侵蚀的长期动态。主要任务包括：量化侧向河道迁移和土地流失速率，分析受威胁地块内的土地利用变化，以及调查受影响居民点的社会经济后果和人口动态。方法框架整合了地籍图分析、遥感技术（无人机，UAVs）和GIS软件，并结合人口与土地利用数据分析。结果表明，在观测期内侧向河道迁移最大距离达259.3 m，土地流失总量为17.6 ha，其中大部分为耕地。这一减少直接影响了当地农业部门，估计土地流失价值约为24,122美元。人口分析显示，1961年至2022年间，所分析居民点（Draževac、Konatice和Poljane）的人口下降幅度超过40%，经济活动人口比例从1961年的超过90%降至2022年的不足2%。最终，通过突出河岸侵蚀的社会经济影响，如不可逆的农业土地流失和农村生计破坏，这些发现为空间规划和可持续土地管理提供了有价值的见解。","Stanovnistvo","2026-10-19T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":375},"塞尔维亚河岸侵蚀案例研究，属地理与土地利用领域，与三农及农业信息化主题关联弱，不建议进入每日精选。",[377],{"name":372,"url":369},[22,23,379,380],"土壤侵蚀","乡村人口",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":384},{"candidates":385,"agricultural_evidence":41},[386,390,394,399],{"code":26,"score":47,"supported":41,"title":387,"abstract":388,"tags":389},[],[50,51],[22],{"code":160,"score":71,"supported":41,"title":391,"abstract":392,"tags":393},[],[164],[],{"code":39,"score":71,"supported":41,"title":395,"abstract":396,"tags":398},[],[397],"methodological framework",[],{"code":62,"score":63,"supported":14,"title":400,"abstract":401,"tags":402},[],[],[23],[404,405],"Kolubara 河岸侵蚀","Obrenovac 土地利用","Kolubara河岸侵蚀-5390","10.59954\u002Fstnv.797",{"doi":407,"openalex_id":409,"authors":410,"venue":372,"cited_by_count":15,"oa_url":369,"card":430,"direction":134,"ingested_from":88},"W7222945959",[411,414,417,419,422,425,428],{"name":412,"orcid":413},"Slavoljub Dragićević","https:\u002F\u002Forcid.org\u002F0000-0002-1417-5405",{"name":415,"orcid":416},"Marko Langović","https:\u002F\u002Forcid.org\u002F0000-0002-4614-7265",{"name":418,"orcid":9},"Милан Радовић",{"name":420,"orcid":421},"Radislav Tošić","https:\u002F\u002Forcid.org\u002F0000-0002-3994-125X",{"name":423,"orcid":424},"Milica Langović","https:\u002F\u002Forcid.org\u002F0000-0002-6979-377X",{"name":426,"orcid":427},"Novica Lovrić","https:\u002F\u002Forcid.org\u002F0009-0006-0838-4370",{"name":429,"orcid":9},"Manojlović Stefan",{"tldr":431,"method":432,"finding":433,"direction":434,"opportunity":435},"研究塞尔维亚Kolubara河岸侵蚀97年间的河道迁移、耕地损失及社会经济影响。","结合地籍图、UAV遥感、GIS与人口土地利用数据分析四条曲流。","最大侧向迁移259.3米，损失17.6公顷耕地约2.4万美元，村落人口降超40%。","其他","可将河岸侵蚀遥感监测与农户生计、土地价值评估耦合，构建侵蚀风险预警与补偿决策模型。","2026-10-20T23:30:18.982943Z"]