[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3497":3,"related-3497":82},{"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":59,"slug":62,"view_count":63,"doi":64,"paper":65,"created_at":81},3497,"Evaluating the Dynamics of Urban Expansion and Land Use-Land Cover Change in the Inter-Urban Areas of Barasat and Barrackpore of West Bengal, India","https:\u002F\u002Fdoi.org\u002F10.11648\u002Fj.ajrs.20261402.16","Urban expansion has predominantly occurred in peri-urban areas rather than within the urban core. It is mainly determined by unorganised growth, increased immigration, and rapid population growth in the urban fringe areas. The present paper analyses the trend of urbanisation, the land use and land cover change (LULC), and growth of built-up area in the Barasat-Barrackpore urban areas over the last four decades since 1990. The LULC change was prepared by using the Landsat images for the years of 1990, 2000, 2010, and 2020 by applying the maximum likelihood algorithm of supervised classification with the help of Remote Sensing and GIS techniques in ArcGIS. The four urban landscapes viz. urban core area, peri-urban area, scatter settlements, and open spaces were categorised using the NDBI sprawl matrix for analysing the magnitude and direction of urban growth. It is found that the urban population, urban area and urban units increased by 54%, 32%, and 42%, respectively in the period of 2001- 2011. The built-up area increased in 102.50%, while agricultural, vegetation cover, fallow, and wetlands decreased in 23%, 59%, 60%, and 57%, accordingly. It is also known, by conversion matrix, that agricultural lands have been converted into built-up and fallow lands, vegetative cover into built-up, fallow lands and agriculture, fallow lands into built-up and agricultural, wetlands into fallow lands, agricultural and built-up area, respectively. This study may help the planners and policy-makers for sustainable urban development.","城市扩张主要发生在城市边缘区而非城市核心区，其驱动因素主要包括无序增长、移民增加以及城市边缘区人口的快速增长。本文分析了自1990年以来近四十年间Barasat-Barrackpore城市地区的城市化趋势、土地利用与土地覆盖变化（LULC）以及建成区增长情况。利用1990年、2000年、2010年和2020年的Landsat影像，在ArcGIS中借助遥感与GIS技术，采用监督分类中的最大似然算法制备了LULC变化图。运用NDBI蔓延矩阵将四种城市景观类型——城市核心区、城市边缘区、分散聚落和开放空间——进行分类，以分析城市增长的程度和方向。研究发现，2001—2011年间，城市人口、城市面积和城市单元分别增长了54%、32%和42%。建成区面积增加了102.50%，而农业用地、植被覆盖、休耕地和湿地分别减少了23%、59%、60%和57%。通过转移矩阵还发现，农业用地分别转化为建成区和休耕地，植被覆盖分别转化为建成区、休耕地和农业用地，休耕地分别转化为建成区和农业用地，湿地分别转化为休耕地、农业用地和建成区。本研究可为规划者和政策制定者提供可持续城市发展的参考。",null,"American Journal of Remote Sensing","2026-09-24T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"研究印度西孟加拉邦城市边缘区土地利用变化，属城市地理与遥感应用，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],"遥感监测","土地利用变化","城市扩张","印度西孟加拉邦",{"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":40},[38,46,53],{"code":26,"score":39,"supported":40,"title":41,"abstract":42,"tags":45},7,true,[],[43,44],"遥感","remote sensing",[21],{"code":47,"score":48,"supported":40,"title":49,"abstract":50,"tags":52},"I4",3,[],[51],"GIS",[],{"code":54,"score":55,"supported":14,"title":56,"abstract":57,"tags":58},"H6",1,[],[],[22],[60,61],"Barasat Barrackpore 城市扩张","Landsat 土地利用变化 印度","BarasatBarrackpore城市扩张-3497",5,"10.11648\u002Fj.ajrs.20261402.16",{"doi":64,"openalex_id":66,"authors":67,"venue":10,"cited_by_count":15,"oa_url":6,"card":74,"direction":78,"ingested_from":80},"W7214169212",[68,71],{"name":69,"orcid":70},"Madhusudan Pramanick","https:\u002F\u002Forcid.org\u002F0009-0006-6499-5635",{"name":72,"orcid":73},"Lakshminarayan Satpati","https:\u002F\u002Forcid.org\u002F0000-0002-6920-9588",{"tldr":75,"method":76,"finding":77,"direction":78,"opportunity":79},"分析印度Barasat-Barrackpore地区1990-2020年城市扩张与土地利用覆被变化。","Landsat影像监督分类、NDBI蔓延矩阵与ArcGIS空间分析。","建设用地增102.5%，农业、植被、休耕和湿地分别减少23%、59%、60%、57%。","农业遥感与作物表型","可结合多源遥感与机器学习预测城郊农地转换，服务耕地保护与可持续规划。","openalex","2026-09-25T23:30:30.714101Z",{"total":83,"page":55,"page_size":83,"items":84},6,[85,159,249,294,342,405],{"id":86,"title":87,"url":88,"summary":89,"summary_zh":90,"content":9,"source_name":91,"source_url":88,"published_at":92,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":93,"sources":95,"tags":97,"primary_topic":99,"secondary_topics":100,"classification":101,"search_phrases":137,"slug":140,"view_count":48,"doi":141,"paper":142,"created_at":158},4028,"Monitoring Spatiotemporal Change in Al-Madinah Al-Munawarah City, Western Saudi Arabia, and Its Potential Implications on Surface and Groundwater Resources: An Approach Using Geospatial Techniques (1965–2025)","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fgeographies6040099","This study explores the potential implications of rapid urban growth and land use\u002Fland cover (LULC) changes in Al-Madinah Al-Munawarah city on water resources. The methodology highlights the efficiency of geospatial techniques (remote sensing and geographic information systems) for mapping, identifying, understanding, and measuring the spatiotemporal dynamics and change rates of different LULC categories over 60 years (1965–2025). The change detection analysis of multisource and multitemporal data reveals substantial modifications in the initial landscape configuration, in which the human footprint was insignificant. The primary dominant driver of change is human activity (an exponential urban extension whose area increased from 15.2 km2 to 472 km2, or more than 3000%, and agricultural area for more than 190%) at the expense of natural landform features. The greatest urban growth was registered during 1986–2009. The alluvial fan and alluvial plain lost more area than all other LULC classes (more than 57%). The lava sheet also recorded a very sharp decline—the second largest in terms of area after the alluvial plain, with a loss of surface area of around 12%. The mountains and hills experienced a very limited loss of surface area (less than 2%). These changes linked to human pressures, combined with climate change, involved modifications to natural hydrological processes, disturbance of natural drainage pathways in different parts of the city, destruction of small streams, intensification of drainage density, and risk of flash flooding. The urban extension also led to the modification of groundwater level dynamics. These effects will increase environmental challenges for the city’s development plan.","本研究探讨了麦地那市快速城市增长与土地利用\u002F土地覆盖（LULC）变化对水资源的潜在影响。研究方法凸显了地理空间技术（遥感和地理信息系统）在制图、识别、理解和测量60年间（1965—2025年）不同土地利用\u002F土地覆盖类别的时空动态及变化速率方面的高效性。对多源和多时相数据的变化检测分析揭示了初始景观格局的重大改变，而此前人类活动的影响微乎其微。变化的主要驱动因素是人类活动（城市面积呈指数级扩张，从15.2 km²增至472 km²，增幅超过3000%；农业面积增幅超过190%），其扩张以牺牲自然地貌特征为代价。城市增长最为显著的时期为1986—2009年。冲积扇和冲积平原的损失面积超过所有其他土地利用\u002F土地覆盖类别（超过57%）。熔岩台地也呈现出急剧下降——面积损失仅次于冲积平原，位居第二，地表面积损失约12%。山地和丘陵的地表面积损失非常有限（不足2%）。这些与人类压力相关的变化，加之气候变化，导致了自然水文过程的改变、城市不同区域自然排水通道的扰动、小型溪流的破坏、排水密度的加剧以及山洪暴发的风险。城市扩张还导致了地下水位动态的改变。这些影响将加剧该市发展规划所面临的环境挑战。","Geographies","2026-10-01T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":94},"研究对象为沙特麦地那城市扩张与水资源，属城市遥感与水文领域，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。",[96],{"name":91,"url":88},[21,22,23,98],"地下水资源",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":102},{"candidates":103,"agricultural_evidence":40},[104,108,115,121,127,133],{"code":26,"score":39,"supported":40,"title":105,"abstract":106,"tags":107},[],[43,44],[21],{"code":109,"score":83,"supported":40,"title":110,"abstract":111,"tags":114},"H7",[],[112,113],"气候变化","climate change",[],{"code":47,"score":83,"supported":40,"title":116,"abstract":117,"tags":120},[],[118,119],"地理信息","geographic information",[],{"code":122,"score":48,"supported":40,"title":123,"abstract":124,"tags":126},"H3",[],[125],"水资源",[],{"code":128,"score":48,"supported":40,"title":129,"abstract":130,"tags":132},"I7",[],[131],"研究方法",[],{"code":54,"score":55,"supported":14,"title":134,"abstract":135,"tags":136},[],[],[22],[138,139],"Al-Madinah 城市扩张 地下水","遥感 土地利用 变化检测","Al-Madinah城市扩张地下水-4028","10.3390\u002Fgeographies6040099",{"doi":141,"openalex_id":143,"authors":144,"venue":91,"cited_by_count":15,"oa_url":88,"card":153,"direction":78,"ingested_from":80},"W7215069931",[145,148,151],{"name":146,"orcid":147},"Mohamed Daoudi","https:\u002F\u002Forcid.org\u002F0000-0003-4219-7860",{"name":149,"orcid":150},"Abdoul Jelil Niang","https:\u002F\u002Forcid.org\u002F0000-0003-4609-6055",{"name":152,"orcid":9},"KHALID AL-GHAMDI",{"tldr":154,"method":155,"finding":156,"direction":78,"opportunity":157},"用遥感与GIS分析沙特麦地那60年城市扩张及其对水土资源的影响。","多源多时相遥感影像与GIS变化检测，1965–2025年LULC分类。","城区扩张超3000%，冲积扇平原损失逾57%，改变水文过程并加剧洪水风险。","可结合气候情景与水文模型，量化城市扩张对地下水补给和洪水风险的长期耦合影响。","2026-10-02T23:30:24.624803Z",{"id":160,"title":161,"url":162,"summary":163,"summary_zh":164,"content":9,"source_name":165,"source_url":166,"published_at":167,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":168,"score_detail":169,"sources":175,"tags":177,"primary_topic":180,"secondary_topics":181,"classification":182,"search_phrases":207,"slug":210,"view_count":15,"doi":211,"paper":212,"created_at":248},5183,"Zionist Entity Settlement Expansion and Agricultural Land Conversion in the West Bank, Palestine (2011–2026): A Multi-Temporal Remote Sensing Analysis","https:\u002F\u002Fdoi.org\u002F10.63318\u002Fwaujpasv4i2_60","أُجريت هذه الدراسة لتقييم التغيرات في أنماط الاستيطان التابعة للكيان الصهيوني في الضفة الغربية بفلسطين، وذلك خلال الفترة الممتدة من عام 2011 إلى عام 2026، مع التركيز بشكل خاص على التغيرات التي طرأت على الأراضي الزراعية. وقد وظّف البحث تقنيات الاستشعار عن بعد لتحليل البيانات وتقييم اتجاهات التوسع الاستيطاني في المنطقة المختارة؛ حيث استخدم الباحثون صور الأقمار الصناعية ونظم المعلومات الجغرافية لرصد نمو المستوطنات، وتحديد المناطق المطوّرة حديثاً، ودراسة التغيرات في الغطاء الأرضي. وهدفت الدراسة إلى تحليل المناطق المبنية، والأراضي الزراعية، والغطاء النباتي، والأراضي القاحلة، والموارد المائية، فضلاً عن تحديد بؤر التوسع الاستيطاني، والمقارنة بين التجمعات الاستيطانية المختارة، ورصد التغيرات في شبكة الطرق، ودراسة التحولات في استخدامات الأراضي داخل المنطقة. ولتحقيق أهداف الدراسة، اعتمد الباحثون على مزيج من المنهجيات التي تشمل تصنيف الصور، وكشف التغيرات، وتحليل التراكب، وتحليل البؤر الساخنة. وتمثّل الهدف الرئيسي للدراسة في إرساء أساس لفهم انتشار المستوطنات ورصد التغيرات المرتبطة بالزراعة والتجمعات السكانية المجاورة بشكل أفضل، وذلك بالاستعانة بتقنيات الاستشعار عن بعد ونظم المعلومات الجغرافية.","本研究旨在评估2011年至2026年期间巴勒斯坦约旦河西岸犹太复国主义实体定居模式的变化，特别关注农业用地的变化。研究采用遥感技术分析数据并评估所选地区定居点扩张的趋势；研究人员利用卫星图像和地理信息系统监测定居点的增长、确定新开发区域并研究地表覆盖变化。研究旨在分析建成区、农业用地、植被覆盖、干旱土地和水资源，并确定定居点扩张的热点区域，比较选定的定居点集群，监测道路网络的变化，以及研究区域内土地利用的转变。为实现研究目标，研究人员采用了多种方法相结合的方式，包括图像分类、变化检测、叠加分析和热点分析。研究的主要目标是为理解定居点的扩散以及更好地监测与农业和邻近居民点相关的变化奠定基础，借助遥感技术和地理信息系统实现这一目标。","Wadi Alshatti University Journal of Pure and Applied Sciences","https:\u002F\u002Fwaujpas.com\u002Findex.php\u002Fjournal\u002Farticle\u002Fview\u002F775","2026-10-15T00:00:00Z",78,{"impact":170,"substance":171,"depth":170,"authority":172,"freshness":173,"relevant":55,"comment":174},18,22,12,8,"该研究利用多时相遥感与GIS定量分析2011–2026年西岸定居点扩张导致的农地转换，方法规范、数据跨度长，对农业土地变化监测有参考价值，但地域性强、政策关联度有限，可作国际农业遥感案例收录。",[176],{"name":165,"url":166},[21,22,51,178,179],"农地非农化","巴勒斯坦农业",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":183},{"candidates":184,"agricultural_evidence":40},[185,189,194,198,203],{"code":26,"score":172,"supported":40,"title":186,"abstract":187,"tags":188},[44],[43],[21],{"code":47,"score":190,"supported":40,"title":191,"abstract":192,"tags":193},4,[],[118],[51],{"code":122,"score":48,"supported":40,"title":195,"abstract":196,"tags":197},[],[125],[],{"code":109,"score":48,"supported":40,"title":199,"abstract":200,"tags":202},[],[201],"干旱",[],{"code":54,"score":55,"supported":14,"title":204,"abstract":205,"tags":206},[],[],[22],[208,209],"West Bank 遥感 农地变化","巴勒斯坦 定居点 农地转换","WestBank遥感农地变化-5183","10.63318\u002Fwaujpasv4i2_60",{"doi":211,"openalex_id":213,"authors":214,"venue":165,"cited_by_count":15,"oa_url":166,"card":243,"direction":78,"ingested_from":80},"W7222438368",[215,217,219,221,224,226,228,230,232,234,237,238,239,241],{"name":216,"orcid":9},"أسامة الشلطامي",{"name":218,"orcid":9},"مصطفى بن حكومة",{"name":220,"orcid":9},"حمزة الماطوني",{"name":222,"orcid":223},"Ramzi SALEM","https:\u002F\u002Forcid.org\u002F0000-0003-1539-1596",{"name":225,"orcid":9},"Mansour Salem",{"name":227,"orcid":9},"هالة الخزندار",{"name":229,"orcid":9},"ياسر نصار",{"name":231,"orcid":9},"Osama Shaltami",{"name":233,"orcid":9},"Mustafa Ben Hkoma",{"name":235,"orcid":236},"HAMZA AL MATONI","https:\u002F\u002Forcid.org\u002F0000-0002-4748-065X",{"name":222,"orcid":223},{"name":225,"orcid":9},{"name":240,"orcid":9},"Hala El-Khozondar",{"name":242,"orcid":9},"Yasser Nassar",{"tldr":244,"method":245,"finding":246,"direction":78,"opportunity":247},"用多时相遥感分析2011–2026年约旦河西岸定居点扩张及农地转化。","多时相卫星影像与GIS，结合影像分类、变化检测、叠加和热点分析。","定居点扩张显著侵占农地与植被，道路网络扩展驱动土地利用转变。","可延伸至多时相遥感监测土地权属冲突区农地流失，结合高分影像与开放GIS做定量归因。","2026-10-17T23:30:32.831824Z",{"id":250,"title":251,"url":252,"summary":253,"summary_zh":254,"content":9,"source_name":255,"source_url":252,"published_at":256,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":257,"sources":259,"tags":261,"primary_topic":263,"secondary_topics":264,"classification":265,"search_phrases":276,"slug":279,"view_count":15,"doi":280,"paper":281,"created_at":293},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":258},"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。",[260],{"name":255,"url":252},[21,262,23],"土地利用",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":266},{"candidates":267,"agricultural_evidence":40},[268,272],{"code":26,"score":39,"supported":40,"title":269,"abstract":270,"tags":271},[],[43,44],[21],{"code":54,"score":55,"supported":14,"title":273,"abstract":274,"tags":275},[],[],[262],[277,278],"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":280,"openalex_id":282,"authors":283,"venue":255,"cited_by_count":15,"oa_url":287,"card":288,"direction":78,"ingested_from":80},"W7221786958",[284],{"name":285,"orcid":286},"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":289,"method":290,"finding":291,"direction":78,"opportunity":292},"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。","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":295,"title":296,"url":297,"summary":298,"summary_zh":299,"content":9,"source_name":300,"source_url":297,"published_at":301,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":302,"sources":304,"tags":306,"primary_topic":307,"secondary_topics":308,"classification":309,"search_phrases":324,"slug":327,"view_count":55,"doi":328,"paper":329,"created_at":341},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":303},"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。",[305],{"name":300,"url":297},[21,262,23],{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":310},{"candidates":311,"agricultural_evidence":40},[312,316,320],{"code":26,"score":39,"supported":40,"title":313,"abstract":314,"tags":315},[],[43,44],[21],{"code":47,"score":83,"supported":40,"title":317,"abstract":318,"tags":319},[],[118,51],[],{"code":54,"score":55,"supported":14,"title":321,"abstract":322,"tags":323},[],[],[262],[325,326],"土地利用 城市扩张 遥感监测","土地利用 城市扩张","土地利用城市扩张遥感监测-4679","10.5281\u002Fzenodo.23277607",{"doi":328,"openalex_id":330,"authors":331,"venue":300,"cited_by_count":15,"oa_url":297,"card":336,"direction":78,"ingested_from":80},"W7221355035",[332,334],{"name":333,"orcid":9},"Kambai Ch. Marak",{"name":335,"orcid":9},"Bring Blessing L Ryntathiang",{"tldr":337,"method":338,"finding":339,"direction":78,"opportunity":340},"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":343,"title":344,"url":345,"summary":346,"summary_zh":347,"content":9,"source_name":348,"source_url":345,"published_at":349,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":350,"score_detail":351,"sources":356,"tags":358,"primary_topic":362,"secondary_topics":363,"classification":364,"search_phrases":385,"slug":388,"view_count":190,"doi":389,"paper":390,"created_at":404},3907,"Land use and land cover change in the Okavango Delta, Botswana: integrating remote sensing and community perspectives on change drivers","https:\u002F\u002Fdoi.org\u002F10.1080\u002F0035919x.2026.2731206","Land use and land cover change is a complex process triggered by either natural or anthropogenic factors. It has important implications for socioeconomic development and environmental sustainability. The present study assessed the dynamics of LULC in Shakawe and Gumare villages of northern Botswana from 1990 to 2023. The study also analysed stakeholders’ perceptions regarding the causes of LULC transformations. The drivers and patterns of land use and land cover change (LULCC) were identified by adopting satellite imagery analysis and a survey approach. The study employed supervised digital image classification and change detection techniques in combination with structured surveys to capture stakeholders’ perceptions. The results show urbanisation and agriculture are the dominant drivers of LULCC, leading to notable alterations in built-up areas, vegetation cover, and infrastructure development. The growth of population and economic activities play a role in shaping LULC dynamics in the study area. Findings also show that the built-up areas in Shakawe increased from 0.97 km2 to 2.02 km2 and from 0.26 km2 to 1.30 km2 in Gumare. Barren land was reduced from 10.9 km2 in 1990 to 4.02 km2 in 2023, and shrubs and trees decreased from 20.53 km2 in 1990 to 16.21 km2 in 2023. A Kruskal–Wallis test revealed a statistically significant difference (X2 = 28.4; p \u003C 0.001) in the way people from different ethnic groups perceived factors influencing LULC. The results highlight the interplay between environmental change and human activities, necessitating sustainable land management practices and highly informed decision-making. The research further highlights the importance of local-level analysis of how LULC patterns and change drivers are understood, particularly in regions experiencing high population growth and resource utilisation. By presenting temporal and spatial patterns of LULC, this research paper contributes to the broader knowledge of land use change processes and policy development aimed at environmental resilience and community well-being.","土地利用与土地覆盖变化是由自然或人为因素触发的复杂过程，对社会经济发展和环境可持续性具有重要影响。本研究评估了博茨瓦纳北部沙卡韦和古马雷村庄1990年至2023年土地利用与土地覆盖（LULC）的动态变化，同时分析了利益相关者对土地利用与土地覆盖变化（LULCC）驱动因素的认知。研究采用卫星影像分析和问卷调查方法，识别了LULCC的驱动因素和变化模式。研究运用监督式数字图像分类和变化检测技术，结合结构化问卷调查，以获取利益相关者的认知。结果表明，城市化和农业是LULCC的主要驱动因素，导致建成区、植被覆盖和基础设施建设发生显著变化。人口增长和经济活动在塑造研究区LULC动态中发挥了重要作用。研究结果还显示，沙卡韦的建成区面积从0.97 km²增至2.02 km²，古马雷从0.26 km²增至1.30 km²。裸地从1990年的10.9 km²减少至2023年的4.02 km²，灌木和乔木从1990年的20.53 km²减少至2023年的16.21 km²。Kruskal–Wallis检验表明，不同族群对影响LULC因素的认知存在统计学显著差异（X² = 28.4；p \u003C 0.001）。研究结果凸显了环境变化与人类活动之间的相互作用，亟需可持续的土地管理实践和高度科学的决策。本研究进一步强调了地方层面分析LULC格局及变化驱动因素认知的重要性，尤其是在人口快速增长和资源利用强度较高的地区。通过呈现LULC的时间和空间格局，本文为土地利用变化过程的广泛知识体系以及旨在增强环境韧性和社区福祉的政策制定作出了贡献。","Transactions of the Royal Society of South Africa","2026-09-29T00:00:00Z",65,{"impact":173,"substance":352,"depth":353,"authority":354,"freshness":173,"relevant":55,"comment":355},20,16,13,"遥感与社区调查结合的土地利用变化研究，方法扎实、数据具体，但属境外区域案例，对国内三农信息化参考价值有限。",[357],{"name":348,"url":345},[359,360,361,21,22],"数字乡村","农业遥感","可持续农业",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":365},{"candidates":366,"agricultural_evidence":40},[367,371,375,380],{"code":26,"score":13,"supported":40,"title":368,"abstract":369,"tags":370},[44],[],[360,21],{"code":54,"score":55,"supported":14,"title":372,"abstract":373,"tags":374},[],[],[22],{"code":376,"score":55,"supported":14,"title":377,"abstract":378,"tags":379},"H8",[],[],[361],{"code":381,"score":55,"supported":14,"title":382,"abstract":383,"tags":384},"I6",[],[],[359],[386,387],"Okavango Delta 土地利用变化","博茨瓦纳 遥感 社区感知","OkavangoDelta土地利用变化-3907","10.1080\u002F0035919x.2026.2731206",{"doi":389,"openalex_id":391,"authors":392,"venue":348,"cited_by_count":15,"oa_url":345,"card":399,"direction":78,"ingested_from":80},"W7214955668",[393,396],{"name":394,"orcid":395},"Reniko Gondo","https:\u002F\u002Forcid.org\u002F0000-0002-0957-0179",{"name":397,"orcid":398},"Oluwatoyin Dare Kolawole","https:\u002F\u002Forcid.org\u002F0000-0002-3977-8747",{"tldr":400,"method":401,"finding":402,"direction":78,"opportunity":403},"结合遥感与社区调查，分析博茨瓦纳奥卡万戈三角洲1990-2023年土地利用变化及驱动因素。","监督分类与变化检测遥感影像，结合结构化问卷调查和Kruskal-Wallis检验","城市化和农业是主要驱动力，建设用地增加、林灌减少，不同族群对驱动因素感知有显著差异。","可探索多源遥感与社区感知融合的LULC驱动机制建模，并关注族群差异对土地管理的影响。","2026-10-01T23:30:30.841433Z",{"id":406,"title":407,"url":408,"summary":409,"summary_zh":410,"content":9,"source_name":411,"source_url":408,"published_at":412,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":413,"sources":415,"tags":417,"primary_topic":419,"secondary_topics":420,"classification":421,"search_phrases":442,"slug":444,"view_count":48,"doi":445,"paper":446,"created_at":461},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。","Nature Environment and Pollution Technology","2026-09-28T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":414},"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。",[416],{"name":411,"url":408},[418,21,262,23],"文献计量",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":422},{"candidates":423,"agricultural_evidence":40},[424,430,434,438],{"code":128,"score":425,"supported":40,"title":426,"abstract":428,"tags":429},15,[427],"bibliometric",[418,427],[418],{"code":26,"score":39,"supported":40,"title":431,"abstract":432,"tags":433},[],[43,44],[21],{"code":109,"score":83,"supported":40,"title":435,"abstract":436,"tags":437},[],[112,113],[],{"code":54,"score":55,"supported":14,"title":439,"abstract":440,"tags":441},[],[],[262],[443,326],"土地利用 城市扩张 文献计量 遥感监测","土地利用城市扩张文献计量遥感监测-3774","10.46488\u002Fnept.2026.v25i04.b4435",{"doi":445,"openalex_id":447,"authors":448,"venue":411,"cited_by_count":15,"oa_url":408,"card":454,"direction":460,"ingested_from":80},"W7214666438",[449,452],{"name":450,"orcid":451},"Jaswant Singh","https:\u002F\u002Forcid.org\u002F0009-0003-4653-4972",{"name":453,"orcid":9},"Kranti Kumar Maurya",{"tldr":455,"method":456,"finding":457,"direction":458,"opportunity":459},"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","2026-09-29T23:30:10.523829Z"]