[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3907":3,"related-3907":89},{"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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":65,"slug":68,"view_count":69,"doi":70,"paper":71,"created_at":88},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。",null,"Transactions of the Royal Society of South Africa","2026-09-29T00:00:00Z","论文",10,false,65,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":22},8,20,16,13,1,"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。",[24],{"name":10,"url":6},[26,27,28,29,30],"数字乡村","农业遥感","可持续农业","遥感监测","土地利用变化",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":45},[44,50,55,60],{"code":32,"score":13,"supported":45,"title":46,"abstract":48,"tags":49},true,[47],"remote sensing",[],[27,29],{"code":51,"score":21,"supported":14,"title":52,"abstract":53,"tags":54},"H6",[],[],[30],{"code":56,"score":21,"supported":14,"title":57,"abstract":58,"tags":59},"H8",[],[],[28],{"code":61,"score":21,"supported":14,"title":62,"abstract":63,"tags":64},"I6",[],[],[26],[66,67],"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",4,"10.1080\u002F0035919x.2026.2731206",{"doi":70,"openalex_id":72,"authors":73,"venue":10,"cited_by_count":80,"oa_url":6,"card":81,"direction":85,"ingested_from":87},"W7214955668",[74,77],{"name":75,"orcid":76},"Reniko Gondo","https:\u002F\u002Forcid.org\u002F0000-0002-0957-0179",{"name":78,"orcid":79},"Oluwatoyin Dare Kolawole","https:\u002F\u002Forcid.org\u002F0000-0002-3977-8747",0,{"tldr":82,"method":83,"finding":84,"direction":85,"opportunity":86},"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。","农业遥感与作物表型","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。","openalex","2026-10-01T23:30:30.841433Z",{"total":90,"page":21,"page_size":90,"items":91},6,[92,156,248,320,390,473],{"id":93,"title":94,"url":95,"summary":96,"summary_zh":97,"content":9,"source_name":98,"source_url":95,"published_at":99,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":100,"score_detail":101,"sources":107,"tags":109,"primary_topic":112,"secondary_topics":113,"classification":114,"search_phrases":133,"slug":136,"view_count":137,"doi":138,"paper":139,"created_at":155},4588,"Integrating terrestrial and marine remote sensing indicators to estimate subnational economic output","https:\u002F\u002Fdoi.org\u002F10.1080\u002F01431161.2026.2743115","Subnational economic data remain scarce across much of the Global South, particularly in fragmented island and coastal geographies, thereby constraining the capacity of researchers and policymakers to monitor local economic conditions. This study proposes and empirically evaluates a four-proxy remote sensing framework for subnational gross domestic product (GDP) estimation. The framework extends the established Night-time Lights (NTL)–Normalised Difference Vegetation Index (NDVI)–Forest Loss (FL) approach by incorporating sea surface Chlorophyll-a (CHLA) as a marine fisheries proxy. This achieves full proxy coverage across the non-agriculture, forestry, and fisheries sector through NTL, agriculture through NDVI, forestry through FL, and marine fisheries through CHLA. The empirical analysis employs Multiscale Geographically Weighted Regression (MGWR) and pooled ordinary least squares (OLS) across 102 regencies and cities in Sulawesi and Maluku, eastern Indonesia, over 2015–2024, with a province-level panel extending to 2002–2024. The stepwise MGWR R2 rises from 0.468 (NTL only) to 0.543 (NTL, NDVI, and FL) to 0.561 (full model), with a pooled Pearson correlation of 0.760. CHLA is positive and significant at both spatial scales after conditioning on all terrestrial proxies, confirmed by OLS coefficients of 0.029 at the regency\u002Fcity level and 0.148 at the province level, significant at the 0.1% and 1% levels respectively. All proxy relationships replicate in direction and significance across scales and over the 23-year panel. The framework provides a freely replicable tool for subnational economic monitoring in data-scarce coastal and island settings, with direct applicability to marine-dependent primary sector economies globally.","在全球南方的大部分地区，尤其是碎片化的岛屿和沿海地理区域，地方经济数据仍然稀缺，从而制约了研究者和政策制定者监测地方经济状况的能力。本研究提出并实证评估了一个用于地方国内生产总值（GDP）估算的四代理变量遥感框架。该框架在已有的夜间灯光（NTL）—归一化植被指数（NDVI）—森林损失（FL）方法基础上，引入海表叶绿素a（CHLA）作为海洋渔业代理变量。由此实现了对非农、林业和渔业部门的代理变量全覆盖：NTL对应非农部门，NDVI对应农业，FL对应林业，CHLA对应海洋渔业。实证分析采用多尺度地理加权回归（MGWR）和混合普通最小二乘法（OLS），覆盖印度尼西亚东部苏拉威西和马鲁古的102个县和市，时间范围为2015—2024年，并辅以延伸至2002—2024年的省级面板数据。逐步MGWR的R²从0.468（仅NTL）升至0.543（NTL、NDVI和FL）再升至0.561（全模型），混合皮尔逊相关系数为0.760。在控制所有陆地代理变量后，CHLA在两个空间尺度上均为正向且显著，OLS系数在县\u002F市级为0.029、省级为0.148，分别在0.1%和1%水平上显著。所有代理变量关系在不同尺度和23年面板期间在方向和显著性上均得到重复验证。该框架为数据稀缺的沿海和岛屿地区的地方经济监测提供了一个可自由复制的工具，并可直接适用于全球依赖海洋的初级产业经济体。","International Journal of Remote Sensing","2026-10-09T00:00:00Z",81,{"impact":102,"substance":103,"depth":102,"authority":104,"freshness":105,"relevant":21,"comment":106},18,22,14,9,"将叶绿素a纳入遥感代理框架估算次国家级GDP，方法新颖、数据扎实，对数据稀缺沿海岛屿地区的农业与渔业经济监测有直接参考价值。",[108],{"name":98,"url":95},[26,27,29,110,111],"渔业经济","GDP估算",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":115},{"candidates":116,"agricultural_evidence":45},[117,122,129],{"code":32,"score":19,"supported":45,"title":118,"abstract":119,"tags":121},[47],[120,47],"遥感",[27,29],{"code":123,"score":124,"supported":45,"title":125,"abstract":126,"tags":128},"D",3,[],[127],"渔业",[],{"code":61,"score":21,"supported":14,"title":130,"abstract":131,"tags":132},[],[],[26],[134,135],"苏拉威西 马鲁古 遥感 GDP","叶绿素a 海洋渔业 遥感","苏拉威西马鲁古遥感GDP-4588",2,"10.1080\u002F01431161.2026.2743115",{"doi":138,"openalex_id":140,"authors":141,"venue":98,"cited_by_count":80,"oa_url":9,"card":150,"direction":85,"ingested_from":87},"W7221189467",[142,145,147],{"name":143,"orcid":144},"Laurenz Thiele","https:\u002F\u002Forcid.org\u002F0009-0009-9294-1337",{"name":146,"orcid":9},"Amanus Khalifafilardy Yunus",{"name":148,"orcid":149},"Rahmatia","https:\u002F\u002Forcid.org\u002F0009-0009-7550-9243",{"tldr":151,"method":152,"finding":153,"direction":85,"opportunity":154},"提出融合陆地与海洋遥感指标的四代理框架，估算印尼东部次国家级GDP。","用夜间灯光、NDVI、森林损失与叶绿素a，结合MGWR和OLS分析102个县市。","加入叶绿素a后模型R²从0.543升至0.561，海洋渔业代理显著提升经济估算精度。","可将海洋遥感代理拓展至其他沿海地区，并耦合渔业产量与贸易数据验证经济监测普适性。","2026-10-10T23:30:28.117529Z",{"id":157,"title":158,"url":159,"summary":160,"summary_zh":161,"content":9,"source_name":162,"source_url":163,"published_at":164,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":165,"score_detail":166,"sources":169,"tags":171,"primary_topic":175,"secondary_topics":176,"classification":177,"search_phrases":206,"slug":209,"view_count":80,"doi":210,"paper":211,"created_at":247},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":102,"substance":103,"depth":102,"authority":167,"freshness":17,"relevant":21,"comment":168},12,"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。",[170],{"name":162,"url":163},[29,30,172,173,174],"GIS","农地非农化","巴勒斯坦农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":178},{"candidates":179,"agricultural_evidence":45},[180,184,190,196,202],{"code":32,"score":167,"supported":45,"title":181,"abstract":182,"tags":183},[47],[120],[29],{"code":185,"score":69,"supported":45,"title":186,"abstract":187,"tags":189},"I4",[],[188],"地理信息",[172],{"code":191,"score":124,"supported":45,"title":192,"abstract":193,"tags":195},"H3",[],[194],"水资源",[],{"code":197,"score":124,"supported":45,"title":198,"abstract":199,"tags":201},"H7",[],[200],"干旱",[],{"code":51,"score":21,"supported":14,"title":203,"abstract":204,"tags":205},[],[],[30],[207,208],"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":210,"openalex_id":212,"authors":213,"venue":162,"cited_by_count":80,"oa_url":163,"card":242,"direction":85,"ingested_from":87},"W7222438368",[214,216,218,220,223,225,227,229,231,233,236,237,238,240],{"name":215,"orcid":9},"أسامة الشلطامي",{"name":217,"orcid":9},"مصطفى بن حكومة",{"name":219,"orcid":9},"حمزة الماطوني",{"name":221,"orcid":222},"Ramzi SALEM","https:\u002F\u002Forcid.org\u002F0000-0003-1539-1596",{"name":224,"orcid":9},"Mansour Salem",{"name":226,"orcid":9},"هالة الخزندار",{"name":228,"orcid":9},"ياسر نصار",{"name":230,"orcid":9},"Osama Shaltami",{"name":232,"orcid":9},"Mustafa Ben Hkoma",{"name":234,"orcid":235},"HAMZA AL MATONI","https:\u002F\u002Forcid.org\u002F0000-0002-4748-065X",{"name":221,"orcid":222},{"name":224,"orcid":9},{"name":239,"orcid":9},"Hala El-Khozondar",{"name":241,"orcid":9},"Yasser Nassar",{"tldr":243,"method":244,"finding":245,"direction":85,"opportunity":246},"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":249,"title":250,"url":251,"summary":252,"summary_zh":253,"content":9,"source_name":254,"source_url":251,"published_at":255,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":80,"score_detail":256,"sources":258,"tags":260,"primary_topic":263,"secondary_topics":264,"classification":265,"search_phrases":298,"slug":301,"view_count":124,"doi":302,"paper":303,"created_at":319},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":80,"substance":80,"depth":80,"authority":80,"freshness":80,"relevant":80,"comment":257},"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。",[259],{"name":254,"url":251},[29,30,261,262],"城市扩张","地下水资源",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":266},{"candidates":267,"agricultural_evidence":45},[268,273,279,284,288,294],{"code":32,"score":269,"supported":45,"title":270,"abstract":271,"tags":272},7,[],[120,47],[29],{"code":197,"score":90,"supported":45,"title":274,"abstract":275,"tags":278},[],[276,277],"气候变化","climate change",[],{"code":185,"score":90,"supported":45,"title":280,"abstract":281,"tags":283},[],[188,282],"geographic information",[],{"code":191,"score":124,"supported":45,"title":285,"abstract":286,"tags":287},[],[194],[],{"code":289,"score":124,"supported":45,"title":290,"abstract":291,"tags":293},"I7",[],[292],"研究方法",[],{"code":51,"score":21,"supported":14,"title":295,"abstract":296,"tags":297},[],[],[30],[299,300],"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":302,"openalex_id":304,"authors":305,"venue":254,"cited_by_count":80,"oa_url":251,"card":314,"direction":85,"ingested_from":87},"W7215069931",[306,309,312],{"name":307,"orcid":308},"Mohamed Daoudi","https:\u002F\u002Forcid.org\u002F0000-0003-4219-7860",{"name":310,"orcid":311},"Abdoul Jelil Niang","https:\u002F\u002Forcid.org\u002F0000-0003-4609-6055",{"name":313,"orcid":9},"KHALID AL-GHAMDI",{"tldr":315,"method":316,"finding":317,"direction":85,"opportunity":318},"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":321,"title":322,"url":323,"summary":324,"summary_zh":325,"content":9,"source_name":326,"source_url":323,"published_at":327,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":328,"score_detail":329,"sources":332,"tags":334,"primary_topic":337,"secondary_topics":338,"classification":339,"search_phrases":372,"slug":375,"view_count":124,"doi":376,"paper":377,"created_at":389},3846,"Integrating Earth Observation Data for Assessing the Impact of Mining Ponds on Land Use and Land Cover Change","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijgem.vol.11.no10.2025.pg136.153","This study examines the relationship between mining ponds and land use and land cover (LULC) dynamics, emphasizing both the environmental challenges and the socio-economic opportunities they present. Earth observation data from Landsat and questionnaire administration were used to evaluate the spatial and socio-environmental impacts of mining activities in Jos South Local Government Area (LGA). Supervised Maximum Likelihood Classification was applied to multitemporal satellite imagery to determine LULC changes, while nearest neighborhood analysis assessed the spatial distribution of mining ponds. A stratified random sampling method was used to collect responses from five districts Du, Zawan, Kuru, Vwang, and Gyel. Results revealed that mining ponds accounted for approximately 2.03% (10.20 km²) of the total land area in 1990, showing a slight decline to 2.00% (10.04 km²) by 2021. Despite their negative impacts, such as land degradation, erosion, and pollution, mining ponds also contribute positively to local livelihoods. An all-year-round supply of water by these ponds makes activities such as irrigation farming, fish farming, block making, recreation and livestock husbandry possible at all times. These benefits generate a wide range of opportunities, which attract investments from private companies, all channeled towards the socio-economic development of Jos-south. We recommended prioritizing the adoption of modern technologies such as GIS and remote sensing by the government for consistent supervision of the expansion of these mining ponds, towards sustainable environmental development of the Jos-South local government area.","本研究考察了矿坑与土地利用和土地覆盖（LULC）动态之间的关系，重点关注其带来的环境挑战与社会经济机遇。研究利用Landsat地球观测数据和问卷调查，评估了乔斯南部地方政府辖区（LGA）采矿活动的空间及社会环境的影响。研究对多时相卫星影像采用监督最大似然分类法以确定土地利用和土地覆盖变化，同时运用最近邻分析评估矿坑的空间分布。采用分层随机抽样方法，从Du、Zawan、Kuru、Vwang和Gyel五个区收集了调查问卷。结果显示，1990年矿坑约占土地总面积的2.03%（10.20 km²），到2021年略微下降至2.00%（10.04 km²）。尽管矿坑带来了土地退化、侵蚀和污染等负面影响，但也对当地生计作出了积极贡献。这些矿坑全年供水，使得灌溉农业、养鱼、制砖、休闲娱乐和畜牧等活动得以常年开展。这些效益产生了广泛的机遇，吸引了私营企业的投资，全部用于乔斯南部的社会经济发展。我们建议政府优先采用地理信息系统（GIS）和遥感等现代技术，对这些矿坑的扩张进行持续监管，以促进乔斯南部地方政府辖区的环境可持续发展。","IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT","2026-09-28T00:00:00Z",60,{"impact":17,"substance":102,"depth":330,"authority":13,"freshness":105,"relevant":21,"comment":331},15,"基于Landsat遥感与问卷评估尼日利亚矿区池塘对土地利用变化的影响，方法规范但属区域案例，对国内三农信息化参考价值有限。",[333],{"name":326,"url":323},[27,29,335,336],"土地利用","矿区生态",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":340},{"candidates":341,"agricultural_evidence":45},[342,346,353,359,363,368],{"code":32,"score":17,"supported":45,"title":343,"abstract":344,"tags":345},[],[120,47],[27,29],{"code":347,"score":90,"supported":45,"title":348,"abstract":349,"tags":352},"C",[],[350,351],"畜牧","livestock",[],{"code":191,"score":90,"supported":45,"title":354,"abstract":355,"tags":358},[],[356,357],"灌溉","irrigation",[],{"code":185,"score":90,"supported":45,"title":360,"abstract":361,"tags":362},[],[188,172],[],{"code":123,"score":124,"supported":45,"title":364,"abstract":365,"tags":367},[],[366],"fish farming",[],{"code":51,"score":137,"supported":14,"title":369,"abstract":370,"tags":371},[],[],[335,336],[373,374],"Jos South 矿区 土地利用","Landsat 遥感 土地覆盖","JosSouth矿区土地利用-3846","10.56201\u002Fijgem.vol.11.no10.2025.pg136.153",{"doi":376,"openalex_id":378,"authors":379,"venue":326,"cited_by_count":80,"oa_url":383,"card":384,"direction":85,"ingested_from":87},"W7214571622",[380],{"name":381,"orcid":382},"Momoh Khalifa Adeiza","https:\u002F\u002Forcid.org\u002F0009-0000-8594-7372","https:\u002F\u002Fiiardjournals.org\u002Fget\u002FIJGEM\u002FVOL. 11 NO. 10 2025\u002FIntegrating Earth Observation 136-153.pdf",{"tldr":385,"method":386,"finding":387,"direction":85,"opportunity":388},"用Landsat影像与问卷评估矿区池塘对土地利用变化及社会经济的影响。","Landsat多时相影像、最大似然分类、最近邻分析与分层随机抽样问卷。","矿塘面积占比由1990年2.03%微降至2021年2.00%，但带来退化与生计双重效应。","可结合时序遥感与农户调查，量化矿塘对灌溉农业与生计的长期耦合影响。","2026-09-30T23:30:29.520262Z",{"id":391,"title":392,"url":393,"summary":394,"summary_zh":395,"content":9,"source_name":396,"source_url":393,"published_at":397,"category":12,"cover_url":9,"hotness":398,"is_selected":14,"score":328,"score_detail":399,"sources":402,"tags":409,"primary_topic":413,"secondary_topics":414,"classification":415,"search_phrases":433,"slug":436,"view_count":137,"doi":437,"paper":438,"created_at":472},3552,"Evaluating the feeding habitat of the Asian elephant (Elephas maximus) using integrated field surveys and remote sensing","https:\u002F\u002Fdoi.org\u002F10.6084\u002Fm9.figshare.33995903","Conservation of Asian elephants in human-modified landscapes requires information on diet, forage availability, landscape change, and movement barriers. In Chunati Wildlife Sanctuary (CWS), Bangladesh, we reanalysed records from 187 dung piles and 791 vegetation plots, multi-temporal Landsat classifications, an exploratory railway-crossing inventory, and CCTV detections at a wildlife overpass. The dung-pile-by-taxon matrix contained 888 detections of 142 plant taxa from 49 families. Dung composition varied among sampled months (permutational multivariate analysis of variance [PERMANOVA], pseudo-F8,178 = 5.24, R2 = 0.191, p = .001) and forest beats (pseudo-F6,180 = 2.64, R2 = 0.081, p = .001), although dispersion differences require cautious interpretation. The 14 focal vegetation taxa also varied among months and beats, but effect sizes were small. Their relative abundance differed from dung-detection rankings, consistent with non-proportional resource use rather than a formal preference test. Across the 8,461.1-ha analytical landscape, mapped forest declined by 376.6 ha from 2000 to 2022. Agricultural producer’s accuracy was 45.3%, so agriculture-fallow change remains uncertain. Sixteen potential railway-crossing locations were catalogued, and 50 CCTV detections confirmed overpass use, without estimating crossing probability or mitigation effectiveness. These findings support standardized monitoring of forage composition, forest change, and railway hotspots.","在人类改造景观中保护亚洲象需要掌握食性、饲草可获得性、景观变化及移动障碍等信息。在孟加拉国春纳提野生动物保护区（Chunati Wildlife Sanctuary, CWS），我们重新分析了187处粪便堆和791个植被样方的记录、多时相Landsat分类、铁路穿越点探索性清单以及野生动物天桥上闭路电视（CCTV）的检测数据。粪便堆-分类单元矩阵包含来自49科142个植物分类单元的888次检测。粪便组成在采样月份间存在差异（置换多元方差分析[PERMANOVA]，伪F8,178 = 5.24，R2 = 0.191，p = .001），在森林分区间也存在差异（伪F6,180 = 2.64，R2 = 0.081，p = .001），但离散度差异要求谨慎解读。14个重点植被分类单元同样在月份和分区之间存在差异，但效应量较小。其相对丰度与粪便检测排序不同，这与非比例性资源利用一致，而非正式的偏好检验。在8,461.1公顷的分析景观中，2000年至2022年间制图森林面积减少了376.6公顷。农业用地生产者精度为45.3%，因此农业-休耕地的变化仍不确定。共编目了16个潜在铁路穿越点，50次CCTV检测确认了天桥的使用，但未估算穿越概率或缓解措施有效性。这些发现支持对饲草组成、森林变化和铁路热点进行标准化监测。","Figshare","2026-09-25T00:00:00Z",40,{"impact":17,"substance":18,"depth":400,"authority":90,"freshness":105,"relevant":21,"comment":401},17,"论文以遥感与野外调查结合评估亚洲象觅食栖息地，方法扎实但属国际保护生态研究，与国内三农信息化关联较弱，公共价值有限。",[403,404,407],{"name":396,"url":393},{"name":405,"url":406},"Biodiversity","https:\u002F\u002Fdoi.org\u002F10.1080\u002F14888386.2026.2720916",{"name":396,"url":408},"https:\u002F\u002Fdoi.org\u002F10.6084\u002Fm9.figshare.33995903.v1",[29,410,30,411,412],"野生动物保护","亚洲象","栖息地评估",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":416},{"candidates":417,"agricultural_evidence":45},[418,422,429],{"code":32,"score":105,"supported":45,"title":419,"abstract":420,"tags":421},[47],[],[29],{"code":423,"score":90,"supported":45,"title":424,"abstract":425,"tags":428},"C4",[],[426,427],"饲草","forage",[],{"code":51,"score":137,"supported":14,"title":430,"abstract":431,"tags":432},[],[],[30,410],[434,435],"Chunati Wildlife Sanctuary 亚洲象","Landsat 遥感 栖息地 亚洲象","ChunatiWildlifeSanctuary亚洲象-3552","10.6084\u002Fm9.figshare.33995903",{"doi":437,"openalex_id":439,"authors":440,"venue":396,"cited_by_count":80,"oa_url":393,"card":467,"direction":85,"ingested_from":87},"W7214307711",[441,443,446,449,451,453,455,457,459,461,463,465],{"name":442,"orcid":9},"A. H. M. Raihan Sarker",{"name":444,"orcid":445},"Eivin Røskaft","https:\u002F\u002Forcid.org\u002F0000-0003-0262-8443",{"name":447,"orcid":448},"Umme Humayra","https:\u002F\u002Forcid.org\u002F0009-0005-2446-3506",{"name":450,"orcid":9},"Mohammad Shawkat Hossain",{"name":452,"orcid":9},"Sayeed Mehmood",{"name":454,"orcid":9},"Biswajit Nath",{"name":456,"orcid":9},"Paul Kvinta",{"name":458,"orcid":9},"Mohammad Abdul Motaleb",{"name":460,"orcid":9},"A. N. M. Yasin Newaz",{"name":462,"orcid":9},"Md. Aktar Hossain",{"name":464,"orcid":9},"Mohammad Morshedul Hoque",{"name":466,"orcid":9},"Nishi Chakma",{"tldr":468,"method":469,"finding":470,"direction":85,"opportunity":471},"结合粪便、植被样方、遥感和红外相机评估孟加拉亚洲象取食栖息地变化。","187份粪便、791个植被样方、Landsat时序分类与CCTV监测。","象食性随月份和林班变化，森林22年减少376.6公顷，铁路交叉点16处。","可结合高精度遥感与象食性数据，量化农业-林地变化对取食栖息地的影响。","2026-09-26T23:30:29.633263Z",{"id":474,"title":475,"url":476,"summary":477,"summary_zh":478,"content":9,"source_name":479,"source_url":476,"published_at":480,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":80,"score_detail":481,"sources":483,"tags":485,"primary_topic":487,"secondary_topics":488,"classification":489,"search_phrases":504,"slug":507,"view_count":508,"doi":509,"paper":510,"created_at":524},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。","American Journal of Remote Sensing","2026-09-24T00:00:00Z",{"impact":80,"substance":80,"depth":80,"authority":80,"freshness":80,"relevant":80,"comment":482},"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。",[484],{"name":479,"url":476},[29,30,261,486],"印度西孟加拉邦",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":490},{"candidates":491,"agricultural_evidence":45},[492,496,500],{"code":32,"score":269,"supported":45,"title":493,"abstract":494,"tags":495},[],[120,47],[29],{"code":185,"score":124,"supported":45,"title":497,"abstract":498,"tags":499},[],[172],[],{"code":51,"score":21,"supported":14,"title":501,"abstract":502,"tags":503},[],[],[30],[505,506],"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":509,"openalex_id":511,"authors":512,"venue":479,"cited_by_count":80,"oa_url":476,"card":519,"direction":85,"ingested_from":87},"W7214169212",[513,516],{"name":514,"orcid":515},"Madhusudan Pramanick","https:\u002F\u002Forcid.org\u002F0009-0006-6499-5635",{"name":517,"orcid":518},"Lakshminarayan Satpati","https:\u002F\u002Forcid.org\u002F0000-0002-6920-9588",{"tldr":520,"method":521,"finding":522,"direction":85,"opportunity":523},"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%。","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。","2026-09-25T23:30:30.714101Z"]