[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3071":3,"related-3071":49},{"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,"search_phrases":25,"slug":28,"view_count":15,"doi":29,"paper":30,"created_at":48},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。",null,"Journal of Landscape Ecology","2026-09-19T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"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。",[19],{"name":10,"url":6},[21,22,23,24],"耕地保护","遥感监测","土地利用","城市扩张",[26,27],"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","10.2478\u002Fjlecol-2026-0038",{"doi":29,"openalex_id":31,"authors":32,"venue":10,"cited_by_count":15,"oa_url":40,"card":41,"direction":45,"ingested_from":47},"W7213652939",[33,35,37],{"name":34,"orcid":9},"Amina Kalbaza",{"name":36,"orcid":9},"Belkacem Marir",{"name":38,"orcid":39},"Farida Naceur","https:\u002F\u002Forcid.org\u002F0009-0004-1962-4937","https:\u002F\u002Freference-global.com\u002Fdownload\u002Farticle\u002F10.2478\u002Fjlecol-2026-0038.pdf",{"tldr":42,"method":43,"finding":44,"direction":45,"opportunity":46},"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。","农业遥感与作物表型","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。","openalex","2026-09-21T23:30:24.332177Z",{"total":50,"page":51,"page_size":50,"items":52},6,1,[53,96,125,164,192,226],{"id":54,"title":55,"url":56,"summary":57,"summary_zh":58,"content":9,"source_name":59,"source_url":56,"published_at":60,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":61,"score_detail":62,"sources":68,"tags":70,"search_phrases":72,"slug":75,"view_count":15,"doi":76,"paper":77,"created_at":95},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":63,"substance":64,"depth":65,"authority":50,"freshness":66,"relevant":51,"comment":67},8,18,14,9,"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。",[69],{"name":59,"url":56},[21,22,23,71,24],"GIS",[73,74],"土地利用 城市扩张 耕地保护 遥感监测","土地利用 城市扩张","土地利用城市扩张耕地保护遥感监测-2784","10.71317\u002Fjgst.2.9(s).2026.624",{"doi":76,"openalex_id":78,"authors":79,"venue":59,"cited_by_count":15,"oa_url":56,"card":90,"direction":45,"ingested_from":47},"W7213443079",[80,82,85,87],{"name":81,"orcid":9},"Muhammad Israr",{"name":83,"orcid":84},"Omar Riaz","https:\u002F\u002Forcid.org\u002F0000-0002-5391-109X",{"name":86,"orcid":9},"Muhammad Safeer Hussain",{"name":88,"orcid":89},"Muhammad Imran","https:\u002F\u002Forcid.org\u002F0000-0003-4072-4997",{"tldr":91,"method":92,"finding":93,"direction":45,"opportunity":94},"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":97,"title":98,"url":99,"summary":100,"summary_zh":101,"content":9,"source_name":10,"source_url":99,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":102,"sources":104,"tags":106,"search_phrases":108,"slug":111,"view_count":15,"doi":112,"paper":113,"created_at":124},3015,"Forecasting Urbanization Dynamics On İstanbul’s European Side Using Deep Learning And Extrapolation Techniques","https:\u002F\u002Fdoi.org\u002F10.2478\u002Fjlecol-2026-0037","Abstract Rapid urbanization in metropolitan regions poses significant environmental, social, and infrastructural challenges, necessitating advanced analytical approaches to monitor and predict urban growth. This study investigates the spatio-temporal dynamics of urbanization on the European side of Istanbul from 2013 to 2024 using Landsat 8 imagery and a deep learning (DL)–based Land Cover Classification model integrated within ArcGIS Pro. The U-Net–based pre-trained model generated 15-class Land Use\u002FLand Cover (LULC) maps, which were validated against the Urban Atlas dataset, resulting in high classification accuracies for forest and water classes (PA: 0.84–0.94; UA: 0.87–0.87) and an overall binary urban\u002Fnon-urban accuracy of 87 %, confirming the robustness of the employed DL approach. Spatio-temporal analyses of LULC data were conducted using both Ordinary Least Squares (OLS) and nonlinear regression functions to examine urban growth trends and project future development for 2025, 2026, and 2027. The results indicate a strong linear increase in urbanized areas across most districts, with total developed area on the European side projected to reach approximately 807 km² by 2027, representing a nearly 50% increase compared to 2013. These findings highlight the significant pressure of urban expansion on natural and agricultural lands and emphasize the need for informed planning strategies. By integrating remote sensing, deep learning, and predictive modeling, this study provides actionable insights for sustainable urban development, offering a replicable framework for monitoring rapid urbanization and supporting policy decisions to mitigate environmental and socio-spatial impacts in rapidly growing metropolitan regions.","摘要 大都市区域的快速城市化带来了显著的环境、社会和基础设施挑战，亟需先进的分析方法来监测和预测城市增长。本研究利用Landsat 8影像和集成于ArcGIS Pro中的基于深度学习（DL）的土地覆盖分类模型，研究了2013年至2024年伊斯坦布尔欧洲一侧城市化的时空动态。基于U-Net的预训练模型生成了15类土地利用\u002F土地覆盖（LULC）地图，并依据Urban Atlas数据集进行了验证，森林和水体类别的分类精度较高（生产者精度PA：0.84–0.94；用户精度UA：0.87–0.87），城市\u002F非城市二分类总体精度达87%，证实了所采用深度学习方法稳健可靠。研究采用普通最小二乘法（OLS）和非线性回归函数对LULC数据进行时空分析，以考察城市增长趋势并预测2025年、2026年和2027年的未来发展。结果表明，大多数区域的城市化面积呈显著线性增长，预计到2027年欧洲一侧的总建成区面积将达到约807 km²，较2013年增长近50%。这些发现凸显了城市扩张对自然和农业用地的巨大压力，并强调了科学规划策略的必要性。通过整合遥感、深度学习和预测建模，本研究为可持续城市发展提供了可操作的见解，为监测快速城市化提供了一个可复制的框架，并支持旨在缓解快速增长的都市区域中环境和社会空间影响的政策决策。",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":103},"研究伊斯坦布尔城市扩张与土地覆盖预测，属城市遥感与景观生态领域，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。",[105],{"name":10,"url":99},[107,22,23,24],"深度学习",[109,110],"伊斯坦布尔 城市扩张 遥感","U-Net 土地覆盖分类","伊斯坦布尔城市扩张遥感-3015","10.2478\u002Fjlecol-2026-0037",{"doi":112,"openalex_id":114,"authors":115,"venue":10,"cited_by_count":15,"oa_url":99,"card":119,"direction":45,"ingested_from":47},"W7213670913",[116],{"name":117,"orcid":118},"Gizem Dinç","https:\u002F\u002Forcid.org\u002F0000-0003-2406-604X",{"tldr":120,"method":121,"finding":122,"direction":45,"opportunity":123},"用Landsat 8影像和U-Net深度学习模型分析伊斯坦布尔欧洲侧2013-2024年城市化动态并","Landsat 8影像、ArcGIS Pro中U-Net预训练模型生成15类LU","城市面积呈强线性增长，2027年预计达807 km²，较2013年增长近50%，挤压自然与农业用地。","可借鉴该遥感+深度学习+外推框架，研究快速城市化对城郊农业用地与耕地保护的时空影响。","2026-09-20T23:30:21.335156Z",{"id":126,"title":127,"url":128,"summary":129,"summary_zh":130,"content":9,"source_name":131,"source_url":128,"published_at":132,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":133,"sources":135,"tags":137,"search_phrases":138,"slug":140,"view_count":15,"doi":141,"paper":142,"created_at":163},2796,"Spatio-Temporal Analysis of Urban Expansion in Awka and its Environs, Nigeria Using Sentinel-2 Satellite Imagery and Google Earth Engine (2021 to 2026)","https:\u002F\u002Fdoi.org\u002F10.31223\u002Fx52v3s","Abstract Rapid urbanization in secondary administrative and educational hubs across sub-Saharan Africa presents significant challenges for regional planning, infrastructure development, and sustainable resource allocation. This study evaluates the spatio-temporal dynamics of urban expansion in Awka and its environs Anambra State, Nigeria, between 2021 and 2026 using cloud-based remote sensing infrastructure. By leveraging Google Earth Engine (GEE) and multi-temporal Sentinel-2 Surface Reflectance imagery, the Normalized Difference Built-up Index (NDBI) was computed across dry-season composites to isolate concrete and structural surfaces from surrounding vegetation and bare soil. The findings reveal an intensive peri-urban transformation of the landscape: the built-up area surged from a baseline of 239.87 hectares in 2021 to 2,752.91 hectares by 2026. This represents a net urban expansion of 2,513.04 hectares, translating to an extraordinary percentage growth rate of 1,047.67% over the five-year period, supported by a model validation accuracy of 98.50% and a Kappa coefficient of 0.98. Spatial clustering of new development was predominantly observed along the Okpuno, Ifite and Awka-Enugu expressway corridors, driven largely by educational expansion and demographic influx. The results demonstrate the efficacy of cloud-native geospatial computing for monitoring rapid urban sprawl, providing essential empirical metrics to guide master plan enforcement, real estate investment modeling, and municipal infrastructural planning.","摘要 撒哈拉以南非洲地区次级行政与教育中心城市的快速城市化，给区域规划、基础设施建设及可持续资源配置带来了重大挑战。本研究利用基于云端的遥感基础设施，评估了尼日利亚阿南布拉州阿瓦卡及其周边地区2021年至2026年间的城市扩张时空动态。通过借助谷歌地球引擎（Google Earth Engine, GEE）和多时相哨兵2号地表反射率影像，在旱季合成影像上计算归一化建筑指数（Normalized Difference Built-up Index, NDBI），以将混凝土及结构性表面与周围植被和裸土区分开来。研究结果揭示了景观剧烈的城郊转型：建成区面积从2021年基线的239.87公顷激增至2026年的2,752.91公顷。这意味着净城市扩张面积为2,513.04公顷，五年间增长率高达1,047.67%，模型验证精度为98.50%，Kappa系数为0.98。新增开发的空间集聚主要沿奥克普诺、伊菲特和阿瓦卡-埃努古高速公路走廊分布，其驱动力主要来自教育扩张和人口涌入。研究结果证明了云原生地理空间计算在监测快速城市蔓延方面的有效性，为总体规划执行、房地产投资建模和市政基础设施规划提供了重要的实证指标。","OpenAlex","2026-09-16T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":134},"研究对象为尼日利亚城市建成区扩张，属城市遥感与区域规划范畴，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。",[136],{"name":131,"url":128},[22,23,24],[139,74],"土地利用 城市扩张 遥感监测","土地利用城市扩张遥感监测-2796","10.31223\u002Fx52v3s",{"doi":141,"openalex_id":143,"authors":144,"venue":9,"cited_by_count":15,"oa_url":157,"card":158,"direction":45,"ingested_from":47},"W7213407140",[145,147,149,151,153,155],{"name":146,"orcid":9},"ADEBOBOYE ADEYEMI DR",{"name":148,"orcid":9},"Adaobi Olisa",{"name":150,"orcid":9},"CHINEDU ANADEBE",{"name":152,"orcid":9},"EVAWERE OKPUGWO",{"name":154,"orcid":9},"ODO OFORBUIKE",{"name":156,"orcid":9},"SYLVESTER EKWEALOR","https:\u002F\u002Feartharxiv.org\u002Frepository\u002Fobject\u002F15011\u002Fdownload\u002F26080\u002F",{"tldr":159,"method":160,"finding":161,"direction":45,"opportunity":162},"基于GEE与Sentinel-2影像，分析尼日利亚Awka及周边2021-2026年城市扩张动态。","GEE平台、Sentinel-2地表反射率影像、NDBI指数、干季合成与精度验证","建成区从239.87公顷增至2752.91公顷，增长1047.67%，扩张集中于教育走廊。","可延伸至城乡交错带耕地流失监测，结合多源遥感与机器学习预测城市扩张对农业的影响。","2026-09-17T23:30:37.315472Z",{"id":165,"title":166,"url":167,"summary":168,"summary_zh":169,"content":9,"source_name":170,"source_url":167,"published_at":171,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":172,"sources":174,"tags":176,"search_phrases":177,"slug":178,"view_count":15,"doi":179,"paper":180,"created_at":191},2327,"Land Use and Land Cover Dynamics of Tertiary Institutions as Growth Poles in Zaria Urban Area, Nigeria","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijgem.vol.12.no3.2026.pg71.82","Tertiary institutions are increasingly recognised as important drivers of urban land transformation and spatial development. The study examines the land use and land cover (LULC) dynamics associated with tertiary institutions in the Zaria Urban Area (ZUA), Kaduna State, Nigeria. Using Geographic Information Systems (GIS) and remote sensing techniques, multi‑temporal spatial data covering the period 1924–2024 were analysed to examine institutional land acquisition and built‑up development. The results show that Zaria Urban Area currently hosts 23 tertiary institutions. Institutional land acquisition increased to 10,825.22 hectares over the study period, representing significant spatial expansion, with only about 32.88% of the acquired land having been developed into built‑up areas. However, residential and circulation accounted for the largest proportions of campus development with 29.26% and 29.53%, respectively, demonstrating that tertiary institutions function as growth poles that influence urban spatial development and land transformation within Zaria. Based on these facts, the study recommended that KADSUPDA should develop institutional land‑use planning frameworks, strengthening collaboration between KADSUPDA and tertiary institutions, promoting sustainable campus development strategies, and integrating institutional expansion into urban master planning.","高等教育机构日益被视为城市土地转型与空间发展的重要驱动力。本研究考察了尼日利亚卡杜纳州扎里亚城市区（ZUA）高等教育机构相关的土地利用与土地覆盖（LULC）动态。研究运用地理信息系统（GIS）和遥感技术，分析了覆盖1924年至2024年的多时相空间数据，以考察机构土地获取与建成区开发情况。结果表明，扎里亚城市区目前拥有23所高等教育机构。在研究期内，机构土地获取面积增至10,825.22公顷，呈现出显著的空间扩张，但其中仅有约32.88%的已获取土地被开发为建成区。然而，住宅和交通用地在校园开发中占比最大，分别为29.26%和29.53%，表明高等教育机构作为增长极，影响着扎里亚的城市空间发展和土地转型。基于上述事实，研究建议卡杜纳州城市规划和开发局（KADSUPDA）制定机构土地利用规划框架，加强KADSUPDA与高等教育机构之间的合作，推广可持续校园发展策略，并将机构扩张纳入城市总体规划。","IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT","2026-09-10T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":173},"研究尼日利亚扎里亚高校驱动的土地利用变化，属城市地理与遥感领域，与三农、农业信息化、智慧农业无关，不建议进入每日精选。",[175],{"name":170,"url":167},[22,23,24],[139,74],"土地利用城市扩张遥感监测-2327","10.56201\u002Fijgem.vol.12.no3.2026.pg71.82",{"doi":179,"openalex_id":181,"authors":182,"venue":170,"cited_by_count":15,"oa_url":185,"card":186,"direction":45,"ingested_from":47},"W7212149575",[183],{"name":184,"orcid":9},"Baba E. Bahago","https:\u002F\u002Fiiardjournals.org\u002Fget\u002FIJGEM\u002FVOL. 12 NO. 3 2026\u002FLAND USE AND LAND COVER DYNAMICS 71-82.pdf",{"tldr":187,"method":188,"finding":189,"direction":45,"opportunity":190},"用GIS与遥感分析尼日利亚扎里亚高校1924-2024年土地利用变化，揭示其作为城市增长极的作用。","GIS与遥感，1924-2024年多时相空间数据，分析机构征地与建成区扩展。","高校征地达10825公顷，仅32.88%建成，住宅与道路占比最大，高校成为城市增长极。","可延伸研究高校扩张对周边农业用地与粮食生产的挤压效应及可持续规划。","2026-09-13T23:30:24.647147Z",{"id":193,"title":194,"url":195,"summary":196,"summary_zh":197,"content":9,"source_name":198,"source_url":195,"published_at":199,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":200,"sources":202,"tags":204,"search_phrases":207,"slug":210,"view_count":15,"doi":211,"paper":212,"created_at":225},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":201},"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。",[203],{"name":198,"url":195},[22,23,24,205,206],"人口变化","山地城市",[208,209],"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":211,"openalex_id":213,"authors":214,"venue":198,"cited_by_count":15,"oa_url":218,"card":219,"direction":45,"ingested_from":47},"W7211881163",[215],{"name":216,"orcid":217},"Altaf Hussain","https:\u002F\u002Forcid.org\u002F0000-0002-7960-5621","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2590252026001716\u002Fpdf",{"tldr":220,"method":221,"finding":222,"direction":223,"opportunity":224},"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":227,"title":228,"url":229,"summary":230,"summary_zh":231,"content":9,"source_name":232,"source_url":229,"published_at":233,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":234,"score_detail":235,"sources":238,"tags":240,"search_phrases":244,"slug":247,"view_count":15,"doi":248,"paper":249,"created_at":271},3069,"Impact of Urbanization on Agriculture and Wetland Management in Makurdi LGA of Benue State, Nigeria","https:\u002F\u002Fdoi.org\u002F10.65757\u002Fhjev1n22","Wetlands are among the most productive ecosystems, providing essential ecological, hydrological, and socio-economic services, including flood regulation, groundwater recharge, water purification, biodiversity conservation, and agricultural support. However, rapid urbanization has accelerated the conversion of wetlands to built-up areas and agricultural land, threatening their ecological integrity. This study assessed the impact of urbanization on agriculture and wetland management in Makurdi Local Government Area, Benue State, over a twenty-year period (2004–2024). The specific objectives were to examine the spatial distribution and extent of wetlands, evaluate the relationship between urban growth and wetland dynamics, and determine the extent of wetland encroachment resulting from urban development. The study employed Geographic Information Systems (GIS) and Remote Sensing techniques using Landsat 7 ETM+, Landsat 8 OLI\u002FTIRS, and Landsat 9 OLI-2\u002FTIRS-2 satellite imagery acquired for 2004, 2014, and 2024. Image preprocessing, supervised classification, change detection, cross-tabulation matrix analysis, and accuracy assessment were performed in ArcGIS and ERDAS Imagine, while field observations and GPS data were used for ground-truthing and validation. Seven land-use\u002Fland-cover classes were identified: wetlands, farmland, shrubland, forest, water bodies, sandbars, and settlements. The findings revealed significant land-use and land-cover changes over the study period. Wetland coverage declined from 4,478.76 ha (5.37%) in 2004 to 2,664.36 ha (2.39%) in 2024, while settlements expanded from 1,182.60 ha (1.42%) to 5,119.22 ha (4.61%) during the same period. Farmland increased from 39.23% to 41.09%, indicating continued conversion of natural ecosystems to agricultural and urban uses. Cross-tabulation analysis further demonstrated substantial transitions of wetlands and farmlands into settlement areas, confirming that urban expansion has become a major driver of wetland degradation in Makurdi. Classification accuracy assessments yielded overall accuracies ranging from 72.15% to 75.93%, with Kappa coefficients between 0.60 and 0.68, indicating that the classified maps were sufficiently reliable for land-use change analysis. The study concludes that rapid urbanization has significantly contributed to wetland loss and fragmentation and has increasingly encroached on agricultural lands, posing serious threats to ecosystem sustainability, biodiversity conservation, flood regulation, and long-term food security. To address these challenges, the study recommends strengthening wetland protection policies, implementing continuous GIS-based monitoring, promoting sustainable urban development, and establishing institutional frameworks to conserve and effectively manage wetlands and agricultural lands in Makurdi","湿地是最具生产力的生态系统之一，提供重要的生态、水文和社会经济服务，包括洪水调节、地下水补给、水质净化、生物多样性保护和农业支持。然而，快速城市化加速了湿地向建成区和农业用地的转化，威胁其生态完整性。本研究评估了贝努埃州马库尔迪地方政府区二十年期间（2004—2024年）城市化对农业和湿地管理的影响。具体目标包括：考察湿地的空间分布与范围，评估城市增长与湿地动态之间的关系，并确定城市发展导致的湿地侵占程度。研究采用地理信息系统（GIS）和遥感技术，使用2004年、2014年和2024年的Landsat 7 ETM+、Landsat 8 OLI\u002FTIRS和Landsat 9 OLI-2\u002FTIRS-2卫星影像。在ArcGIS和ERDAS Imagine中进行了影像预处理、监督分类、变化检测、交叉列联表矩阵分析和精度评估，同时利用实地观测和GPS数据进行地面验证与确认。研究识别出七类土地利用\u002F土地覆盖类型：湿地、农田、灌丛、森林、水体、沙洲和居民点。研究结果显示，研究期间土地利用和土地覆盖发生了显著变化。湿地覆盖面积从2004年的4,478.76公顷（5.37%）下降至2024年的2,664.36公顷（2.39%），而居民点面积同期从1,182.60公顷（1.42%）扩张至5,119.22公顷（4.61%）。农田面积从39.23%增至41.09%，表明自然生态系统持续向农业和城市用途转化。交叉列联表分析进一步表明，湿地和农田大量转变为居民点用地，证实城市扩张已成为马库尔迪湿地退化的主要驱动因素。分类精度评估的总体精度为72.15%至75.93%，Kappa系数在0.60至0.68之间，表明分类图对于土地利用变化分析具有足够的可靠性。研究认为，快速城市化显著加剧了湿地丧失和破碎化，并日益侵占农业用地，对生态系统可持续性、生物多样性保护","Hensard Journal of Environment","2026-09-20T00:00:00Z",56,{"impact":63,"substance":64,"depth":236,"authority":50,"freshness":66,"relevant":51,"comment":237},15,"基于Landsat遥感与GIS的尼日利亚湿地退化实证研究，数据扎实但属区域案例，公共影响有限。",[239],{"name":232,"url":229},[241,22,23,242,243],"粮食安全","城市化","湿地保护",[245,246],"Makurdi 湿地 城市化","Benue State 遥感","Makurdi湿地城市化-3069","10.65757\u002Fhjev1n22",{"doi":248,"openalex_id":250,"authors":251,"venue":232,"cited_by_count":15,"oa_url":229,"card":266,"direction":45,"ingested_from":47},"W7213745048",[252,254,256,258,260,262,264],{"name":253,"orcid":9},"Joy Iganya Agene",{"name":255,"orcid":9},"Onoja Sunday",{"name":257,"orcid":9},"Akintunde Elijah",{"name":259,"orcid":9},"Ugese Ayangeaor Andrew",{"name":261,"orcid":9},"Kebiru Umoru",{"name":263,"orcid":9},"Aku Umaku Esther",{"name":265,"orcid":9},"Ombugu Gideon",{"tldr":267,"method":268,"finding":269,"direction":45,"opportunity":270},"用遥感与GIS评估尼日利亚马库尔迪20年间城市化对湿地和农业用地的侵占影响。","Landsat 7\u002F8\u002F9影像，监督分类、变化检测与交叉表分析，GPS实地验证。","湿地占比由5.37%降至2.39%，建设用地由1.42%升至4.61%，城市化是湿地退化主因。","可结合多源高分辨率遥感与CA-Markov模型，预测湿地-农田-城市冲突并支撑国土空间优化。","2026-09-21T23:30:24.084401Z"]