[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5005":3,"related-5005":108},{"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":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":85,"slug":88,"view_count":22,"doi":89,"paper":90,"created_at":107},5005,"Geospatial Dynamics of Urban Sprawl and Agricultural Land Loss in the Faiyum, Egypt: Scenario Modeling for Sustainable Land Management","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010459","Rapid and uncontrolled urban growth poses a severe threat to arable agricultural oases by jeopardizing vital ecosystem services and regional food security. This study investigates the spatiotemporal dynamics of urban sprawl over a 16-year period (2007–2023) in Faiyum City (Egypt), an ancient oasis surrounded by prime agricultural soils, and projects future spatial trends under unconstrained development scenarios. Utilizing high-resolution multi-temporal satellite imagery integrated with Remote Sensing (RS) and Geographic Information Systems (GIS) techniques, built-up area expansion was quantitatively measured, sectoral decomposition shows expansion on every flank of the historic core but at markedly uneven rates, converting between 13.8% and 55.7% of the land available in each direction and an area-based growth model was applied to simulate short- and long-term land transformation trends. Empirical findings reveal that between 2007 and 2023 the urban built-up area expanded by 55.7%, from 861.7 ha to 1341.6 ha, at an average annual compound growth rate of 2.8%, raising its share of the enclosed study area from 37.7% to 58.6%. Sampling of the converted area shows that 80.6% of it had been agricultural land at the baseline date, giving 386.9 ha of farmland lost over the period. The projections indicate that, without intervention, built-up cover would occupy 67.3% of the 2287 ha enclosed by the Ring Road by 2028 and 77.3% by 2033, leaving 518.7 ha of the unbuilt land that remained in 2023. This trajectory bears directly on SDG 11 and SDG 15 targets. Containment instruments such as binding Urban Growth Boundaries and compact infill policies are discussed as directions indicated by the spatial evidence, although their feasibility, cost and enforcement requirements lie outside the scope of this analysis.","快速且不受控制的城市增长对赖以维持关键生态系统服务和区域粮食安全的农业绿洲构成了严重威胁。本研究考察了埃及法尤姆城（Faiyum City）——一座被优质农业土壤环绕的古老绿洲——在16年期间（2007–2023年）城市蔓延的时空动态，并预测了无约束开发情景下的未来空间趋势。利用高分辨率多时相卫星影像，结合遥感（RS）与地理信息系统（GIS）技术，对建成区扩张进行了定量测度，部门分解显示历史核心区各方向均发生扩张，但速率明显不均，各方向所转化土地占可用土地的比例在13.8%至55.7%之间；同时应用基于面积的增长模型模拟了短期和长期土地转化趋势。实证结果表明，2007年至2023年间，城市建成区面积扩张了55.7%，从861.7公顷增至1341.6公顷，年均复合增长率为2.8%，使其在封闭研究区内的占比从37.7%升至58.6%。对转化区域的抽样显示，其中80.6%在基准日期为农业用地，即该期间损失农田386.9公顷。预测表明，若无干预，到2028年建成区将占环路所围2287公顷的67.3%，到2033年将占77.3%，仅余2023年尚存的518.7公顷未建设用地。这一轨迹直接关系到可持续发展目标11（SDG 11）和目标15（SDG 15）。空间证据所指示的方向包括具有约束力的城市增长边界和紧凑型填充式政策等遏制工具，但其可行性、成本及执行要求不在本分析范围之内。",null,"Sustainability","2026-10-14T00:00:00Z","论文",10,false,75,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,22,18,14,9,1,"基于16年遥感与GIS数据量化埃及法尤姆绿洲城市扩张导致的农地流失并模拟未来情景，方法扎实、数据具体，对耕地保护与可持续土地管理有参考价值，但属区域案例研究，公共影响层级有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"粮食安全","耕地保护","遥感监测","城市扩张","可持续土地管理",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":46},[45,53,60,67,74,80],{"code":33,"score":21,"supported":46,"title":47,"abstract":48,"tags":52},true,[],[49,50,51],"地理信息","GIS","geographic information",[],{"code":54,"score":55,"supported":46,"title":56,"abstract":57,"tags":59},"A8",7,[],[27,58],"food security",[27],{"code":61,"score":55,"supported":46,"title":62,"abstract":63,"tags":66},"I3",[],[64,65],"遥感","remote sensing",[29],{"code":68,"score":69,"supported":46,"title":70,"abstract":71,"tags":73},"H2",3,[],[72],"土壤",[],{"code":75,"score":69,"supported":46,"title":76,"abstract":77,"tags":79},"H6",[],[78],"生态系统服务",[],{"code":81,"score":22,"supported":14,"title":82,"abstract":83,"tags":84},"H1",[],[],[28],[86,87],"Faiyum 城市扩张 农地流失","遥感 GIS 耕地损失 埃及","Faiyum城市扩张农地流失-5005","10.3390\u002Fsu182010459",{"doi":89,"openalex_id":91,"authors":92,"venue":10,"cited_by_count":99,"oa_url":6,"card":100,"direction":104,"ingested_from":106},"W7221785333",[93,96],{"name":94,"orcid":95},"Mahmut Dingil","https:\u002F\u002Forcid.org\u002F0000-0002-4901-7554",{"name":97,"orcid":98},"Levent Atatanır","https:\u002F\u002Forcid.org\u002F0000-0001-5638-6676",0,{"tldr":101,"method":102,"finding":103,"direction":104,"opportunity":105},"基于遥感与GIS分析埃及法尤姆市2007-2023年城市扩张，并模拟未来农地流失情景。","多时相高分辨率卫星影像、RS\u002FGIS空间分析、面积增长模型情景模拟。","建成区16年增55.7%，80.6%来自农地，2033年将占环城路内77.3%。","农业遥感与作物表型","可结合城市增长边界与紧凑填充政策，量化农地保护情景下的粮食安全与生态服务权衡。","openalex","2026-10-15T23:30:29.550250Z",{"total":109,"page":22,"page_size":109,"items":110},6,[111,179,245,319,378,434],{"id":112,"title":113,"url":114,"summary":115,"summary_zh":116,"content":9,"source_name":117,"source_url":114,"published_at":118,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":99,"score_detail":119,"sources":121,"tags":123,"primary_topic":125,"secondary_topics":129,"classification":131,"search_phrases":157,"slug":160,"view_count":21,"doi":161,"paper":162,"created_at":178},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":99,"substance":99,"depth":99,"authority":99,"freshness":99,"relevant":99,"comment":120},"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。",[122],{"name":117,"url":114},[28,29,124,30],"土地利用",{"code":61,"slug":126,"name":127,"path":128,"parent_code":37},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",[130],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":132},{"candidates":133,"agricultural_evidence":46},[134,139,143,149,153],{"code":61,"score":135,"supported":46,"title":136,"abstract":137,"tags":138},15,[65],[64,65],[29],{"code":33,"score":20,"supported":46,"title":140,"abstract":141,"tags":142},[50],[49,50],[],{"code":144,"score":69,"supported":46,"title":145,"abstract":146,"tags":148},"G2",[],[147],"land transfer",[],{"code":81,"score":22,"supported":14,"title":150,"abstract":151,"tags":152},[],[],[28],{"code":75,"score":22,"supported":14,"title":154,"abstract":155,"tags":156},[],[],[124],[158,159],"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":161,"openalex_id":163,"authors":164,"venue":117,"cited_by_count":99,"oa_url":172,"card":173,"direction":104,"ingested_from":106},"W7213652939",[165,167,169],{"name":166,"orcid":9},"Amina Kalbaza",{"name":168,"orcid":9},"Belkacem Marir",{"name":170,"orcid":171},"Farida Naceur","https:\u002F\u002Forcid.org\u002F0009-0004-1962-4937","https:\u002F\u002Freference-global.com\u002Fdownload\u002Farticle\u002F10.2478\u002Fjlecol-2026-0038.pdf",{"tldr":174,"method":175,"finding":176,"direction":104,"opportunity":177},"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":180,"title":181,"url":182,"summary":183,"summary_zh":184,"content":9,"source_name":185,"source_url":182,"published_at":186,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":99,"score_detail":187,"sources":189,"tags":191,"primary_topic":193,"secondary_topics":198,"classification":200,"search_phrases":222,"slug":225,"view_count":99,"doi":226,"paper":227,"created_at":244},5485,"Integrating machine learning and geospatial technologies for spatio-temporal analysis of urban expansion and land use transformation in Gambella Town, Ethiopia","https:\u002F\u002Fdoi.org\u002F10.1371\u002Fjournal.pone.0360419","Rapid urbanization and the associated expansion of built-up areas are transforming land resources, ecosystem functions, and the spatial structure of cities. Distinguishing urban growth, urban expansion, and urban sprawl is essential for understanding the processes and patterns of urban transformation and supporting sustainable urban planning. This study integrates machine learning and geospatial technologies to analyze spatio-temporal land use and land cover (LULC) dynamics and urban expansion in Gambella Town, Ethiopia. Multi-temporal Landsat satellite images from 2005, 2015, and 2025 were processed using remote sensing techniques and a supervised machine learning approach based on the Random Forest (RF) classifier. Six major LULC classes were identified: Agricultural Land, Bush with Grass, Built-Up Area, Bare Land, Forest Land, and Water Bodies. The classification achieved overall accuracies of 90%, 90%, and 89% for 2005, 2015, and 2025, respectively. The results revealed substantial land transformation and rapid physical urban expansion, with the built-up area increasing from 93 ha (2.0%) in 2005–1,956 ha (41.3%) in 2025. This expansion was accompanied by major transformations of surrounding land resources, particularly the conversion of Bush with Grass and other open areas to built-up land. Agricultural land increased from 634 ha (13.4%) to 1,750 ha (36.9%), whereas Bush with Grass declined from 3,375 ha (71.1%) to 652 ha (13.7%). Socio-economic information collected from 277 respondents indicated that population growth, rural–urban migration, housing demand, employment opportunities, and infrastructure development were major drivers of urban expansion. The study distinguishes urban expansion, represented by the increase in built-up land, from urban sprawl, which refers to the spatial pattern and form of outward urban development. The integration of Random Forest classification and GIS-based spatial analysis provides valuable evidence of land transformation, vegetation loss, and increasing pressure on urban services, supporting more sustainable urban planning and land management in Gambella Town.","快速城市化及与之相关的建成区扩张正在改变土地资源、生态系统功能和城市空间结构。区分城市增长（urban growth）、城市扩张（urban expansion）和城市蔓延（urban sprawl），对于理解城市转型的过程与格局、支撑可持续城市规划至关重要。本研究融合机器学习与地理空间技术，分析埃塞俄比亚甘贝拉镇（Gambella Town）土地利用与土地覆盖（LULC）的时空动态及城市扩张。采用遥感技术和基于随机森林（RF）分类器的监督机器学习方法，处理了2005年、2015年和2025年的多时相Landsat卫星影像。研究识别出六类主要LULC类型：农业用地、灌草地、建成区、裸地、林地和水体。2005年、2015年和2025年的分类总体精度分别为90%、90%和89%。结果表明，土地发生了显著转变，城市实体空间快速扩张，建成区面积从2005年的93公顷（2.0%）增至2025年的1,956公顷（41.3%）。这一扩张伴随着周边土地资源的重大转变，尤其是灌草地及其他开阔地被转化为建成用地。农业用地从634公顷（13.4%）增至1,750公顷（36.9%），而灌草地则从3,375公顷（71.1%）降至652公顷（13.7%）。从277名受访者收集的社会经济信息表明，人口增长、城乡迁移、住房需求、就业机会和基础设施建设是城市扩张的主要驱动因素。本研究将城市扩张（以建成用地增加为表征）与城市蔓延（指城市向外发展的空间格局与形态）加以区分。随机森林分类与基于GIS的空间分析的融合，为土地转变、植被丧失及城市服务压力加剧提供了有价值的证据，有助于甘贝拉镇实现更可持续的城市规划与土地管理。","PLoS ONE","2026-10-20T00:00:00Z",{"impact":99,"substance":99,"depth":99,"authority":99,"freshness":99,"relevant":99,"comment":188},"研究聚焦埃塞俄比亚城市扩张与土地利用变化，属城市地理与遥感应用，与三农、农业信息化主题无直接关联，不建议进入每日精选。",[190],{"name":185,"url":182},[192,29,124,30],"机器学习",{"code":194,"slug":195,"name":196,"path":197,"parent_code":37},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",[199],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":201},{"candidates":202,"agricultural_evidence":46},[203,208,214,218],{"code":194,"score":135,"supported":46,"title":204,"abstract":206,"tags":207},[205],"machine learning",[192,205],[192],{"code":33,"score":21,"supported":46,"title":209,"abstract":210,"tags":213},[],[211,50,212],"空间分析","spatial analysis",[],{"code":61,"score":55,"supported":46,"title":215,"abstract":216,"tags":217},[],[64,65],[29],{"code":75,"score":22,"supported":14,"title":219,"abstract":220,"tags":221},[],[],[124],[223,224],"Gambella Town 城市扩张","Random Forest 土地利用分类","GambellaTown城市扩张-5485","10.1371\u002Fjournal.pone.0360419",{"doi":226,"openalex_id":228,"authors":229,"venue":185,"cited_by_count":99,"oa_url":182,"card":239,"direction":104,"ingested_from":106},"W7223022155",[230,233,235,237],{"name":231,"orcid":232},"Kanenus Fufa Dararo","https:\u002F\u002Forcid.org\u002F0009-0007-5747-1558",{"name":234,"orcid":9},"Goanar Jal Dup",{"name":236,"orcid":9},"Weyesa Merga Chemeda",{"name":238,"orcid":9},"Shankar Karuppannan",{"tldr":240,"method":241,"finding":242,"direction":104,"opportunity":243},"用机器学习与遥感分析埃塞俄比亚甘贝拉镇2005-2025年城市扩张与土地利用变化。","Landsat多时相影像、随机森林分类与GIS空间分析，结合277份问卷。","建成区从93公顷增至1956公顷，灌草地大幅转为建成区和农地。","可将随机森林时序分类与驱动力调查结合，扩展到更多非洲小城镇并耦合城市增长模拟。","2026-10-21T23:30:23.271293Z",{"id":246,"title":247,"url":248,"summary":249,"summary_zh":250,"content":9,"source_name":251,"source_url":248,"published_at":252,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":253,"score_detail":254,"sources":257,"tags":259,"primary_topic":262,"secondary_topics":263,"classification":269,"search_phrases":290,"slug":293,"view_count":294,"doi":295,"paper":296,"created_at":318},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":255,"substance":19,"depth":135,"authority":109,"freshness":21,"relevant":22,"comment":256},8,"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。",[258],{"name":251,"url":248},[27,29,124,260,261],"城市化","湿地保护",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[264],{"code":75,"slug":265,"name":266,"path":267,"parent_code":268},"biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",{"status":40,"locked":14,"version":41,"method":42,"evidence":270},{"candidates":271,"agricultural_evidence":46},[272,276,281,285],{"code":33,"score":21,"supported":46,"title":273,"abstract":274,"tags":275},[],[49,50,51],[],{"code":75,"score":255,"supported":46,"title":277,"abstract":278,"tags":280},[],[279,265],"生物多样性",[124,261],{"code":61,"score":55,"supported":46,"title":282,"abstract":283,"tags":284},[],[64,65],[29],{"code":54,"score":286,"supported":46,"title":287,"abstract":288,"tags":289},4,[],[58],[27],[291,292],"Makurdi 湿地 城市化","Benue State 遥感","Makurdi湿地城市化-3069",2,"10.65757\u002Fhjev1n22",{"doi":295,"openalex_id":297,"authors":298,"venue":251,"cited_by_count":99,"oa_url":248,"card":313,"direction":104,"ingested_from":106},"W7213745048",[299,301,303,305,307,309,311],{"name":300,"orcid":9},"Joy Iganya Agene",{"name":302,"orcid":9},"Onoja Sunday",{"name":304,"orcid":9},"Akintunde Elijah",{"name":306,"orcid":9},"Ugese Ayangeaor Andrew",{"name":308,"orcid":9},"Kebiru Umoru",{"name":310,"orcid":9},"Aku Umaku Esther",{"name":312,"orcid":9},"Ombugu Gideon",{"tldr":314,"method":315,"finding":316,"direction":104,"opportunity":317},"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",{"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":99,"score_detail":327,"sources":329,"tags":331,"primary_topic":335,"secondary_topics":336,"classification":343,"search_phrases":360,"slug":363,"view_count":99,"doi":364,"paper":365,"created_at":377},5326,"Flood Hazard and Vulnerability Assessment of Chitrakoot District, Uttar Pradesh: An Integrated Geographical, GIS and Remote Sensing Approach","https:\u002F\u002Fdoi.org\u002F10.36948\u002Fijfmr.2026.v08i05.89708","Flood is one of the most important hydro-meteorological hazards affecting human settlements, agriculture, infrastructure and regional economies. Chitrakoot district of Uttar Pradesh presents a distinctive case of hydro-climatic vulnerability because it belongs to the drought-prone Bundelkhand region but simultaneously experiences recurrent riverine and flash-flood conditions during intense monsoon rainfall. The present study assesses the spatial characteristics and determinants of flood hazard and vulnerability in Chitrakoot district using an integrated geographical, GIS and remote sensing approach. The analysis incorporates the Digital Elevation Model (DEM), drainage network, physiography, river proximity, historical flood information, satellite-based flood observations and socio-economic exposure. The district's DEM indicates a marked elevation gradient, approximately from 66 m to 451 m, with relatively higher terrain in the southern part and lower terrain towards the northern Yamuna valley. This topographic configuration facilitates rapid surface runoff from elevated southern terrain towards comparatively low-lying riverine areas. The drainage system is dominated by the Yamuna and Mandakini\u002FPaisuni systems along with Baghain, Gunta, Bardaha and smaller tributaries. The Uttar Pradesh Flood Hazard Atlas identifies 5,114 ha of flood-hazard area in Chitrakoot for 1998–2020, of which 4,129 ha (81%) falls in the very-low hazard category and 985 ha (19%) in the low-hazard category. However, the historical classification does not fully represent the potential consequences of extreme rainfall events. The August 2026 flood provides compelling evidence: the Mandakini at Chitrakoot reached a reported new high flood level of 145.60 m on 29 August 2026, approximately 2.95 m above the previous reported high level, while the water level rose by about 7.5 m within six hours. The study concludes that flood risk in Chitrakoot is spatially concentrated around river corridors, low-elevation areas, floodplains, agricultural land, settlements and tourism infrastructure. A shift from conventional relief-oriented flood management towards integrated floodplain regulation, watershed management, GIS-based risk zonation, real-time monitoring and community-based preparedness is therefore essential.","洪水是影响人类住区、农业、基础设施和区域经济的最重要的水文气象灾害之一。北方邦吉德古德（Chitrakoot）县在水文气候脆弱性方面呈现出独特案例，因为它属于易受干旱影响的本德尔坎德（Bundelkhand）地区，但同时在强季风降雨期间反复遭遇河流洪水和山洪状况。本研究采用地理学、地理信息系统（GIS）和遥感相结合的综合方法，评估吉德古德县洪水灾害与脆弱性的空间特征及其决定因素。分析纳入了数字高程模型（DEM）、河网、地貌、距河流远近、历史洪水信息、基于卫星的洪水观测以及社会经济暴露度。该县的DEM显示出明显的高程梯度，大约从66米到451米，南部地形相对较高，向北部的亚穆纳（Yamuna）河谷地势降低。这种地形格局促使地表径流从较高的南部地形快速流向相对低洼的河流区域。排水系统以亚穆纳河和曼达基尼\u002F派苏尼（Mandakini\u002FPaisuni）水系为主，另有巴盖恩（Baghain）、贡塔（Gunta）、巴尔达哈（Bardaha）及较小支流。北方邦洪水灾害图集确认，1998—2020年吉德古德县洪水灾害面积为5，114公顷，其中4，129公顷（81%）属于极低灾害类别，985公顷（19%）属于低灾害类别。然而，历史分类并不能充分反映极端降雨事件的潜在后果。2026年8月的洪水提供了有力证据：据报道，2026年8月29日吉德古德的曼达基尼河达到145.60米的新高洪水位，比此前报告的高水位高出约2.95米，而水位在六小时内上升了约7.5米。研究得出结论，吉德古德的洪水风险在空间上集中于河流廊道、低海拔地区、洪泛平原、农业用地、住区和旅游基础设施周围。因此，必须从传统的以救济为导向的洪水管理转向洪泛平原综合调控、流域管理、基于GIS的风险区划、实时监测和社区为基础的备灾。","International Journal For Multidisciplinary Research","2026-10-17T00:00:00Z",{"impact":99,"substance":99,"depth":99,"authority":99,"freshness":99,"relevant":99,"comment":328},"该研究聚焦印度北方邦的洪水灾害评估，虽涉及GIS与遥感方法，但与三农、农业信息化、智慧农业等主题无直接关联，不建议进入每日精选。",[330],{"name":325,"url":322},[332,29,333,334],"防灾减灾","洪水风险评估","GIS应用",{"code":61,"slug":126,"name":127,"path":128,"parent_code":37},[337,338],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"code":339,"slug":340,"name":341,"path":342,"parent_code":268},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"status":40,"locked":14,"version":41,"method":42,"evidence":344},{"candidates":345,"agricultural_evidence":46},[346,350,354],{"code":61,"score":135,"supported":46,"title":347,"abstract":348,"tags":349},[65],[64,65],[29],{"code":33,"score":20,"supported":46,"title":351,"abstract":352,"tags":353},[50],[49,50],[],{"code":339,"score":255,"supported":46,"title":355,"abstract":356,"tags":359},[],[357,358],"干旱","drought",[333,332],[361,362],"Chitrakoot 洪水风险 GIS","Yamuna 洪水脆弱性 遥感","Chitrakoot洪水风险GIS-5326","10.36948\u002Fijfmr.2026.v08i05.89708",{"doi":364,"openalex_id":366,"authors":367,"venue":325,"cited_by_count":99,"oa_url":371,"card":372,"direction":104,"ingested_from":106},"W7222885988",[368],{"name":369,"orcid":370},"Birendra Yadav","https:\u002F\u002Forcid.org\u002F0009-0007-0864-474X","https:\u002F\u002Fwww.ijfmr.com\u002Fpapers\u002F2026\u002F5\u002F89708.pdf",{"tldr":373,"method":374,"finding":375,"direction":104,"opportunity":376},"用GIS与遥感综合评估Chitrakoot区洪水灾害与脆弱性空间分布。","DEM、河网、历史洪水与卫星观测及社会经济数据叠加分析。","洪水风险集中于河谷低地、农田与居民点，历史分级低估极端降雨风险。","可结合时序遥感与水文模型，构建极端降雨情景下的农田洪涝风险动态制图与预警。","2026-10-19T23:30:24.356743Z",{"id":379,"title":380,"url":381,"summary":382,"summary_zh":383,"content":9,"source_name":384,"source_url":381,"published_at":326,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":385,"score_detail":386,"sources":388,"tags":390,"primary_topic":393,"secondary_topics":394,"classification":395,"search_phrases":410,"slug":413,"view_count":99,"doi":414,"paper":415,"created_at":433},5323,"Impact of Land Use and Land Cover Change on Vegetation Cover Loss in Rwanda: Evidence from Muhoza Sector, Musanze District (2015–2025)","https:\u002F\u002Fdoi.org\u002F10.38124\u002Fijisrt\u002F26oct696","This study analyzed the impact of land use and land cover (LULC) change on vegetation cover loss in Muhoza Sector, Musanze District, Rwanda, between 2015 and 2025. A quantitative geospatial research design was adopted using multi-temporal Landsat and Sentinel-2 satellite imagery, field-based GPS validation, Geographic Information Systems, and Normalized Difference Vegetation Index (NDVI) analysis. Six land-cover classes—forestland, grassland, cropland, urbanized land, wetland, and water bodies—were mapped using supervised classification and post-classification change detection.","本研究分析了2015年至2025年间卢旺达穆桑泽区穆霍扎地区土地利用与土地覆盖（LULC）变化对植被覆盖丧失的影响。研究采用定量地理空间研究设计，运用多时相Landsat和Sentinel-2卫星影像、基于实地GPS验证、地理信息系统以及归一化植被指数（NDVI）分析。通过监督分类和分类后变化检测，对林地、草地、耕地、城市化用地、湿地和水体六类土地覆盖类型进行了制图。","International Journal of Innovative Science and Research Technology (IJISRT)",55,{"impact":255,"substance":19,"depth":20,"authority":109,"freshness":21,"relevant":22,"comment":387},"基于Landsat与Sentinel-2多时相影像的卢旺达局部土地利用变化与植被损失实证研究，方法规范但属区域案例，国际参考价值有限。",[389],{"name":384,"url":381},[29,124,391,392],"植被覆盖","卢旺达农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":396},{"candidates":397,"agricultural_evidence":46},[398,402,406],{"code":33,"score":109,"supported":46,"title":399,"abstract":400,"tags":401},[],[49,51],[],{"code":61,"score":294,"supported":14,"title":403,"abstract":404,"tags":405},[],[],[391,29],{"code":75,"score":22,"supported":14,"title":407,"abstract":408,"tags":409},[],[],[124],[411,412],"Muhoza Sector 土地利用","卢旺达 NDVI 植被覆盖","MuhozaSector土地利用-5323","10.38124\u002Fijisrt\u002F26oct696",{"doi":414,"openalex_id":416,"authors":417,"venue":384,"cited_by_count":99,"oa_url":427,"card":428,"direction":104,"ingested_from":106},"W7222817253",[418,420,422,424],{"name":419,"orcid":9},"Vincent Hategekimana",{"name":421,"orcid":9},"Richard Mind J. E.",{"name":423,"orcid":9},"Aboubakar Gasirabo",{"name":425,"orcid":426},"Didier Ntwali","https:\u002F\u002Forcid.org\u002F0000-0002-6914-6652","https:\u002F\u002Fwww.ijisrt.com\u002Fassets\u002Fupload\u002Ffiles\u002FIJISRT26OCT696.pdf",{"tldr":429,"method":430,"finding":431,"direction":104,"opportunity":432},"分析卢旺达Muhoza地区2015–2025年土地利用变化对植被覆盖丧失的影响。","多时相Landsat与Sentinel-2影像、GPS实地验证、GIS与NDVI","六类地物制图揭示建设用地扩张等LULC变化是植被覆盖减少的主要驱动。","可结合高分辨率时序遥感与驱动因子模型，量化小农户尺度城镇化对耕地与植被的胁迫。","2026-10-19T23:30:23.040351Z",{"id":435,"title":436,"url":437,"summary":438,"summary_zh":439,"content":9,"source_name":440,"source_url":437,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":441,"score_detail":442,"sources":446,"tags":448,"primary_topic":452,"secondary_topics":453,"classification":455,"search_phrases":477,"slug":480,"view_count":99,"doi":481,"paper":482,"created_at":503},5096,"Land Cover Change, Ecosystem Service Implications, and Economy–Land Use Decoupling:","https:\u002F\u002Fdoi.org\u002F10.14246\u002Firspsd.14.4_186","Land cover change plays a critical role in shaping watershed ecological conditions and supporting regional economic activities. This study analyzes land cover dynamics in the Tiworo Watershed, Southeast Sulawesi, Indonesia, for 2014, 2019, and 2024, and examines their relationship with sectoral economic growth. Remote sensing and GIS were used to map and quantify land cover changes, while sectoral Gross Regional Domestic Product (GRDP) data for agriculture, forestry, and fisheries represented economic performance. Economy–land use interactions were assessed using the Tapio decoupling elasticity index. Economy–land use interactions were assessed using the Tapio decoupling elasticity index as a retrospective empirical measure based on observed changes in land cover and sectoral GRDP over the study periods. The results show increasing sectoral GRDP accompanied by relatively limited changes in dominant land cover classes. Absolute decoupling was observed during 2014–2019, relative decoupling during 2019–2024, and overall absolute decoupling for 2014–2024, indicating that economic growth was not proportionally associated with large-scale land conversion. Spatial analysis reveals localized landscape transformations, including mangrove degradation, settlement expansion, and plantation growth, which signal emerging pressures on environmentally sensitive areas. Although ecosystem services are not directly valued, land cover change is interpreted as an indicator of ecological pressure with implications for provisioning ecosystem services. These findings highlight the importance of integrating land-use monitoring and economic indicators to support adaptive watershed management, spatial planning, and sustainable development.","土地覆盖变化在塑造流域生态状况和支撑区域经济活动方面发挥着关键作用。本研究分析了印度尼西亚东南苏拉威西省蒂沃罗流域（Tiworo Watershed）2014年、2019年和2024年的土地覆盖动态，并考察其与部门经济增长的关系。研究采用遥感和地理信息系统（GIS）对土地覆盖变化进行制图和量化，同时以农业、林业和渔业的部门地区生产总值（GRDP）数据表征经济表现。经济与土地利用的相互作用采用Tapio脱钩弹性指数进行评估，该指数作为基于研究期内观测到的土地覆盖变化和部门GRDP变化的回顾性经验测度。结果表明，部门GRDP持续增长，而主导土地覆盖类型的变化相对有限。2014—2019年呈现绝对脱钩，2019—2024年呈现相对脱钩，2014—2024年整体呈现绝对脱钩，表明经济增长与大规模土地转换之间不存在比例关联。空间分析揭示了局部景观转型，包括红树林退化、居民点扩张和种植园增长，这些信号表明环境敏感区域正面临新兴压力。尽管生态系统服务未被直接估值，但土地覆盖变化被解释为生态压力的指标，并对供给型生态系统服务具有潜在影响。这些发现凸显了整合土地利用监测与经济指标的重要性，以支持适应性流域管理、空间规划和可持续发展。","International Review for Spatial Planning and Sustainable Development",63,{"impact":255,"substance":19,"depth":443,"authority":444,"freshness":255,"relevant":22,"comment":445},16,13,"基于遥感与GIS的流域土地利用变化与经济增长脱钩研究，方法规范但属区域案例，对国内三农信息化参考价值有限。",[447],{"name":440,"url":437},[29,449,450,78,451],"土地利用变化","流域管理","空间规划",{"code":75,"slug":265,"name":266,"path":267,"parent_code":268},[454],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":456},{"candidates":457,"agricultural_evidence":46},[458,463,467,471],{"code":75,"score":444,"supported":46,"title":459,"abstract":461,"tags":462},[460],"ecosystem service",[78],[449,78],{"code":33,"score":13,"supported":46,"title":464,"abstract":465,"tags":466},[],[49,211,50,212],[451],{"code":61,"score":55,"supported":46,"title":468,"abstract":469,"tags":470},[],[64,65],[29],{"code":472,"score":69,"supported":46,"title":473,"abstract":474,"tags":476},"D",[],[475],"渔业",[],[478,479],"Tiworo流域 土地利用 遥感","Tapio脱钩 农业经济 土地覆盖","Tiworo流域土地利用遥感-5096","10.14246\u002Firspsd.14.4_186",{"doi":481,"openalex_id":483,"authors":484,"venue":440,"cited_by_count":99,"oa_url":497,"card":498,"direction":104,"ingested_from":106},"W7221789653",[485,488,491,494],{"name":486,"orcid":487},"Safril Kasim","https:\u002F\u002Forcid.org\u002F0009-0009-4679-4233",{"name":489,"orcid":490},"Hasddin Hasddin","https:\u002F\u002Forcid.org\u002F0000-0002-0114-5274",{"name":492,"orcid":493},"La Fariki","https:\u002F\u002Forcid.org\u002F0009-0003-7870-9028",{"name":495,"orcid":496},"Abhishek Agarwal","https:\u002F\u002Forcid.org\u002F0000-0002-0900-6383","https:\u002F\u002Fwww.jstage.jst.go.jp\u002Farticle\u002Firspsd\u002F14\u002F4\u002F14_9\u002F_pdf",{"tldr":499,"method":500,"finding":501,"direction":104,"opportunity":502},"分析印尼Tiworo流域2014-2024年土地覆盖变化与部门经济增长的脱钩关系。","遥感与GIS制图，结合GRDP数据和Tapio脱钩弹性指数。","经济持续增长但土地覆盖变化有限，整体呈绝对脱钩，局部红树林退化等生态压力显现。","可将脱钩指数与生态系统服务价值核算结合，量化流域生态压力并支撑空间规划。","2026-10-16T23:30:28.687070Z"]