[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4689":3,"related-4689":88},{"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":9,"secondary_topics":32,"classification":33,"search_phrases":60,"slug":63,"view_count":64,"doi":65,"paper":66,"created_at":87},4689,"Landscape historic trough spatial changes of mangroves in Benin Coastal area (West-Africa) using random forest algorithm applied to Landsat images","https:\u002F\u002Fdoi.org\u002F10.52638\u002Frfpt.2026.736","Mangrove forests, recognized as the main ecosystem of coastal zones and providing various goods and services, are facing are facing increasing anthropogenic pressures and require continuous investigation. Ensuring the sustainable management of these ecosystems implies permanent monitoring of their dynamics. In line with this, the present study carried out on the mangrove forests of Benin (West-Africa) aimed to evaluate the effect of anthropic perturbation on their cover dynamics over the past four decades (including both Ramsar sites 1017 and 1018). The adopted method focused on remote sensing techniques using Landsat images acquired between 1986 and 2023. The Random Forest algorithm was used for image processing. Results revealed that whatever the period, the overall accuracy values obtained after post-classification analysis ranged from 84.56% to 96.52% indicating a correct image classification. From these results, a decline in mangrove cover was observed between 1986 and 2013 followed by an increase from 2013 to 2023. In Ramsar site 1017, mangroves lost about 61.90% (3261.06 ha) of their initial area from 1986 to 2000. Between 2000 and 2014, mangrove cover loss was negligible and estimated at 2.29% (59.04 ha). In contrast, from 2014 to 2023, mangroves experienced an increase estimated at about 16.66% (324.63 ha). The same trend was observed in Ramsar site 1018, with a loss of 31.12% (459.63 ha) and 27.44% (279.18 ha) respectively from 1986 to 2001 and from 2001 to 2013 followed by a gain estimated at 39.89% (279.18 ha) between 2013 and 2023. Landscape changes analysis revealed that regardless of the site or period, mangroves were mainly converted into meadow, other plant and water body (e.g. in Ramsar site 1017, from 1986 to 2001, about 568.26 ha of mangroves were converted into meadows, 33.66 ha into other plant, and 35.46 ha into water body). The principal changes observed in this study focused on Benin coastal zones confirm the vulnerability of mangrove forests facing anthropogenic pressure. Keywords: Mangrove, Dynamics, Remote sensing, Benin.","红树林被公认为海岸带的主要生态系统，提供多种商品和服务，正面临日益增加的人为压力，需要持续开展调查研究。确保这些生态系统的可持续管理意味着对其动态进行长期监测。据此，本研究针对贝宁（西非）的红树林开展，旨在评估人为干扰对其过去四十年（包括拉姆萨尔湿地1017和1018）覆盖动态的影响。所采用的方法侧重于利用1986年至2023年间获取的Landsat影像的遥感技术。采用随机森林（Random Forest）算法进行图像处理。结果表明，无论哪个时期，分类后分析获得的总体精度值介于84.56%至96.52%之间，表明图像分类正确。从这些结果来看，1986年至2013年间红树林覆盖面积下降，随后2013年至2023年间有所增加。在拉姆萨尔湿地1017中，1986年至2000年间红树林丧失了其初始面积的约61.90%（3261.06公顷）。2000年至2014年间，红树林覆盖损失可忽略不计，估计为2.29%（59.04公顷）。相比之下，2014年至2023年间，红树林增加了约16.66%（324.63公顷）。拉姆萨尔湿地1018也观察到相同趋势，1986年至2001年和2001年至2013年分别损失31.12%（459.63公顷）和27.44%（279.18公顷），随后2013年至2023年间增加了约39.89%（279.18公顷）。景观变化分析显示，无论哪个地点或时期，红树林主要转化为草地、其他植物和水体（例如在拉姆萨尔湿地1017中，1986年至2001年间，约568.26公顷红树林转化为草地，33.66公顷转化为其他植物，35.46公顷转化为水体）。本研究中观察到的贝宁海岸带主要变化证实了红树林面对人为压力的脆弱性。关键词：红树林，动态，遥感，贝宁。",null,"Revue Française de Photogrammétrie et de Télédétection","2026-10-09T00:00:00Z","论文",10,false,70,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,20,17,13,8,1,"基于Landsat与随机森林的四十年红树林动态监测研究，方法成熟、数据翔实，对滨海湿地遥感监测有参考价值，但属区域案例研究，公共影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"随机森林","遥感监测","土地利用变化","红树林","滨海湿地",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"needs_review","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":14,"reason":59},[39,48,54],{"code":40,"score":41,"supported":42,"title":43,"abstract":44,"tags":47},"I3",7,true,[],[45,46],"遥感","remote sensing",[28],{"code":49,"score":50,"supported":14,"title":51,"abstract":52,"tags":53},"H6",2,[],[],[29,30],{"code":55,"score":22,"supported":14,"title":56,"abstract":57,"tags":58},"I2",[],[],[27],"农业相关性需要复核",[61,62],"贝宁 红树林 遥感","Landsat 红树林 动态监测","贝宁红树林遥感-4689",0,"10.52638\u002Frfpt.2026.736",{"doi":65,"openalex_id":67,"authors":68,"venue":10,"cited_by_count":64,"oa_url":79,"card":80,"direction":84,"ingested_from":86},"W7221179267",[69,71,73,75,77],{"name":70,"orcid":9},"Mahoutin Gildas Serge Zanvo",{"name":72,"orcid":9},"Nicolas DELBART",{"name":74,"orcid":9},"Paul PASSY",{"name":76,"orcid":9},"Kolawolé Valère Salako",{"name":78,"orcid":9},"Romain Glele-Kakai","https:\u002F\u002Frfpt.sfpt.fr\u002Findex.php\u002FRFPT\u002Farticle\u002Fdownload\u002F736\u002F528",{"tldr":81,"method":82,"finding":83,"direction":84,"opportunity":85},"利用随机森林与Landsat影像分析贝宁沿海红树林1986-2023年时空动态。","Landsat影像（1986-2023）结合随机森林分类与景观变化分析。","红树林先减后增，主要转为草甸、其他植被和水体，人为压力显著。","农业遥感与作物表型","可结合多源遥感与驱动因子模型，探究红树林恢复的生态与社会机制。","openalex","2026-10-11T23:30:33.091927Z",{"total":89,"page":22,"page_size":89,"items":90},6,[91,168,264,336,407,475],{"id":92,"title":93,"url":94,"summary":95,"summary_zh":96,"content":9,"source_name":97,"source_url":94,"published_at":98,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":99,"score_detail":100,"sources":105,"tags":107,"primary_topic":111,"secondary_topics":117,"classification":122,"search_phrases":143,"slug":146,"view_count":64,"doi":147,"paper":148,"created_at":167},5392,"Wetland Loss Associated with Hydro-Agricultural Development in North African Floodplains: Insights from a Historical Cartographic Analysis of the Gharb Plain (Morocco)","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fd18100642","Mediterranean floodplain wetlands are among the most productive ecosystems, yet they are increasingly threatened by agricultural intensification and hydrological modifications. In North Africa, most of these wetlands have been converted to agricultural lands using an extensive ‘drainage–irrigation’ process that has irreversibly degraded them. This study documents this loss through the illustrative example of the Gharb Plain in the northwest of Morocco. The agricultural development process of this plain, initiated in 1927 and only recently completed, is documented by both historical maps and remote sensing data, which we combined to reconstruct the simultaneous wetland decline and agriculture extension. The results reveal a dramatic decline in marshland ecosystems, covering about 88% of the original marshlands in less than one cycle. Several wetlands, including large ones, have entirely disappeared, particularly within the Sebou and Baht river floodplains. To ensure their human occupation, the drainage process and river canalization have been supported by a large program of dam construction upstream of the Gharb Plain. The wetland loss estimate highlights the substantial ecological costs of agricultural intensification and underscores the need for integrated management strategies balancing food production and patrimony conservation. Future research should focus on wetland restoration, ecosystem service assessment, and climate-resilient water management in Mediterranean floodplains.","地中海洪泛平原湿地是最具生产力的生态系统之一，却日益受到农业集约化与水文改造的威胁。在北非，大多数此类湿地已通过大规模的“排水—灌溉”过程被转变为农业用地，并因此遭到不可逆的退化。本研究以摩洛哥西北部加尔卜平原（Gharb Plain）为例，记录了这一丧失过程。该平原的农业开发进程始于1927年，直至近期才告完成，我们结合历史地图与遥感数据，重建了湿地衰退与农业扩张同步发生的过程。结果表明，沼泽生态系统急剧减少，在不到一个周期内约88%的原生沼泽地消失。包括大型湿地在内的多处湿地已完全消失，尤其是在塞布河（Sebou）与巴赫特河（Baht）洪泛平原内。为保障人类占用，排水过程与河流渠化得到了加尔卜平原上游大规模水坝建设计划的支持。湿地丧失的估算凸显了农业集约化所带来的巨大生态代价，并强调需要制定兼顾粮食生产与遗产保护的综合管理策略。未来研究应聚焦于湿地恢复、生态系统服务评估以及地中海洪泛平原的气候韧性水资源管理。","Diversity","2026-10-19T00:00:00Z",76,{"impact":101,"substance":102,"depth":103,"authority":20,"freshness":21,"relevant":22,"comment":104},16,21,18,"该研究结合历史地图与遥感数据，量化了北非洪泛平原湿地因农业开发而丧失的情况，方法扎实、结论明确，对农业生态与土地管理有参考价值，但属区域性案例研究，公共影响有限。",[106],{"name":97,"url":94},[108,28,109,29,110],"生态修复","灌溉农业","湿地保护",{"code":112,"slug":113,"name":114,"path":115,"parent_code":116},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",[118],{"code":49,"slug":119,"name":120,"path":121,"parent_code":116},"biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity",{"status":123,"locked":14,"version":35,"method":36,"evidence":124},"classified",{"candidates":125,"agricultural_evidence":42},[126,132,139],{"code":112,"score":13,"supported":42,"title":127,"abstract":128,"tags":131},[],[129,130,113],"灌溉","水资源",[109],{"code":49,"score":133,"supported":42,"title":134,"abstract":135,"tags":138},9,[],[136,137],"生态系统服务","ecosystem service",[29,110,108],{"code":40,"score":41,"supported":42,"title":140,"abstract":141,"tags":142},[],[45,46],[28],[144,145],"Gharb平原 湿地 遥感","摩洛哥 湿地 灌溉","Gharb平原湿地遥感-5392","10.3390\u002Fd18100642",{"doi":147,"openalex_id":149,"authors":150,"venue":97,"cited_by_count":64,"oa_url":94,"card":162,"direction":84,"ingested_from":86},"W7222966485",[151,154,156,159],{"name":152,"orcid":153},"Mohamed Dakki","https:\u002F\u002Forcid.org\u002F0000-0002-8042-3972",{"name":155,"orcid":9},"Said El Falah",{"name":157,"orcid":158},"Ibrahim Makrane","https:\u002F\u002Forcid.org\u002F0009-0002-9201-206X",{"name":160,"orcid":161},"Ismail Mansouri","https:\u002F\u002Forcid.org\u002F0000-0002-3679-6050",{"tldr":163,"method":164,"finding":165,"direction":84,"opportunity":166},"用历史地图与遥感重建摩洛哥Gharb平原1927年以来的湿地丧失与农业扩张过程。","历史地图与遥感数据结合，重建湿地退缩与农田扩张的时空过程。","不到一个开发周期内约88%的原生沼泽消失，大型湿地完全丧失。","可延伸至地中海洪泛平原湿地恢复优先区识别与生态系统服务权衡研究。","2026-10-20T23:30:19.135602Z",{"id":169,"title":170,"url":171,"summary":172,"summary_zh":173,"content":9,"source_name":174,"source_url":175,"published_at":176,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":177,"score_detail":178,"sources":181,"tags":183,"primary_topic":187,"secondary_topics":192,"classification":193,"search_phrases":222,"slug":225,"view_count":64,"doi":226,"paper":227,"created_at":263},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":103,"substance":179,"depth":103,"authority":17,"freshness":21,"relevant":22,"comment":180},22,"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。",[182],{"name":174,"url":175},[28,29,184,185,186],"GIS","农地非农化","巴勒斯坦农业",{"code":40,"slug":188,"name":189,"path":190,"parent_code":191},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":123,"locked":14,"version":35,"method":36,"evidence":194},{"candidates":195,"agricultural_evidence":42},[196,200,207,212,218],{"code":40,"score":17,"supported":42,"title":197,"abstract":198,"tags":199},[46],[45],[28],{"code":201,"score":202,"supported":42,"title":203,"abstract":204,"tags":206},"I4",4,[],[205],"地理信息",[184],{"code":112,"score":208,"supported":42,"title":209,"abstract":210,"tags":211},3,[],[130],[],{"code":213,"score":208,"supported":42,"title":214,"abstract":215,"tags":217},"H7",[],[216],"干旱",[],{"code":49,"score":22,"supported":14,"title":219,"abstract":220,"tags":221},[],[],[29],[223,224],"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":226,"openalex_id":228,"authors":229,"venue":174,"cited_by_count":64,"oa_url":175,"card":258,"direction":84,"ingested_from":86},"W7222438368",[230,232,234,236,239,241,243,245,247,249,252,253,254,256],{"name":231,"orcid":9},"أسامة الشلطامي",{"name":233,"orcid":9},"مصطفى بن حكومة",{"name":235,"orcid":9},"حمزة الماطوني",{"name":237,"orcid":238},"Ramzi SALEM","https:\u002F\u002Forcid.org\u002F0000-0003-1539-1596",{"name":240,"orcid":9},"Mansour Salem",{"name":242,"orcid":9},"هالة الخزندار",{"name":244,"orcid":9},"ياسر نصار",{"name":246,"orcid":9},"Osama Shaltami",{"name":248,"orcid":9},"Mustafa Ben Hkoma",{"name":250,"orcid":251},"HAMZA AL MATONI","https:\u002F\u002Forcid.org\u002F0000-0002-4748-065X",{"name":237,"orcid":238},{"name":240,"orcid":9},{"name":255,"orcid":9},"Hala El-Khozondar",{"name":257,"orcid":9},"Yasser Nassar",{"tldr":259,"method":260,"finding":261,"direction":84,"opportunity":262},"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":265,"title":266,"url":267,"summary":268,"summary_zh":269,"content":9,"source_name":270,"source_url":267,"published_at":271,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":272,"score_detail":273,"sources":275,"tags":277,"primary_topic":280,"secondary_topics":281,"classification":286,"search_phrases":309,"slug":312,"view_count":64,"doi":313,"paper":314,"created_at":335},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","2026-10-14T00:00:00Z",63,{"impact":21,"substance":103,"depth":101,"authority":20,"freshness":21,"relevant":22,"comment":274},"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。",[276],{"name":270,"url":267},[28,29,278,136,279],"流域管理","空间规划",{"code":49,"slug":119,"name":120,"path":121,"parent_code":116},[282],{"code":201,"slug":283,"name":284,"path":285,"parent_code":191},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",{"status":123,"locked":14,"version":35,"method":36,"evidence":287},{"candidates":288,"agricultural_evidence":42},[289,293,299,303],{"code":49,"score":20,"supported":42,"title":290,"abstract":291,"tags":292},[137],[136],[29,136],{"code":201,"score":13,"supported":42,"title":294,"abstract":295,"tags":298},[],[205,296,184,297],"空间分析","spatial analysis",[279],{"code":40,"score":41,"supported":42,"title":300,"abstract":301,"tags":302},[],[45,46],[28],{"code":304,"score":208,"supported":42,"title":305,"abstract":306,"tags":308},"D",[],[307],"渔业",[],[310,311],"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":313,"openalex_id":315,"authors":316,"venue":270,"cited_by_count":64,"oa_url":329,"card":330,"direction":84,"ingested_from":86},"W7221789653",[317,320,323,326],{"name":318,"orcid":319},"Safril Kasim","https:\u002F\u002Forcid.org\u002F0009-0009-4679-4233",{"name":321,"orcid":322},"Hasddin Hasddin","https:\u002F\u002Forcid.org\u002F0000-0002-0114-5274",{"name":324,"orcid":325},"La Fariki","https:\u002F\u002Forcid.org\u002F0009-0003-7870-9028",{"name":327,"orcid":328},"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":331,"method":332,"finding":333,"direction":84,"opportunity":334},"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",{"id":337,"title":338,"url":339,"summary":340,"summary_zh":341,"content":9,"source_name":342,"source_url":339,"published_at":343,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":64,"score_detail":344,"sources":346,"tags":348,"primary_topic":9,"secondary_topics":351,"classification":352,"search_phrases":363,"slug":366,"view_count":64,"doi":367,"paper":368,"created_at":406},5011,"Thirty-five years of urban expansion and thermal transformation: Integrating LULC change climate variability and population growth","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-75473-5","Abstract Rapid urban expansion can alter surface thermal conditions, yet these changes are often evaluated without accounting for climatic variability, demographic pressures, and uncertainty. This study investigated long-term land-use\u002Fland-cover (LULC) and thermal dynamics in Jhang District, Pakistan, for 1990, 2000, 2010, 2020, and 2025 using Landsat-based LULC classification, land surface temperature (LST), surface urban heat island (SUHI), Urban Thermal Field Variance Index (UTFVI), spectral indices, Getis–Ord Gi* hotspot analysis, Pearson correlation, and multiple linear regression (MLR). Landsat-derived LST was independently compared with MODIS, while ERA5-Land, CHIRPS, and GHS-POP were used to characterize climatic and demographic context. Urban land expanded from 62.67 km² (0.98%) to 341.36 km² (5.37%), with 219.53 km² of Vegetated Land converted to Urban land. Maximum LST increased from 49.09 °C to 55.01 °C, while 99% confidence hot spots expanded from 856.42 to 1,041.31 km². LST was negatively correlated with NDVI and NDMI and positively correlated with NDBI and NDBaI. MLR models explained 54.2–83.1% of spatial LST variability. MODIS comparison showed strong spatial correspondence (R 2 = 0.752–0.843) despite systematic absolute-temperature differences. Air temperature increased significantly by 0.199 °C decade⁻¹, while population rose from 1.58 to 3.44 million. The findings demonstrate that Jhang’s thermal evolution reflects interacting land-cover, climatic, and demographic pressures rather than urban growth alone.","摘要 快速的城市扩张会改变地表热环境状况，但相关评估往往未充分考虑气候变率、人口压力及不确定性。本研究以巴基斯坦章县（Jhang District）为对象，基于Landsat土地利用\u002F土地覆盖（LULC）分类、地表温度（LST）、地表城市热岛（SUHI）、城市热场变异指数（UTFVI）、光谱指数、Getis–Ord Gi*热点分析、Pearson相关分析及多元线性回归（MLR），对1990、2000、2010、2020和2025年的长期LULC与热动态进行了研究。将Landsat反演LST与MODIS数据进行了独立对比，同时利用ERA5-Land、CHIRPS和GHS-POP刻画气候与人口背景。城市用地由62.67 km²（0.98%）扩张至341.36 km²（5.37%），其中219.53 km²的植被用地转为城市用地。最高LST由49.09 °C升至55.01 °C，而99%置信度热点面积由856.42 km²扩大至1,041.31 km²。LST与NDVI和NDMI呈负相关，与NDBI和NDBaI呈正相关。MLR模型可解释54.2–83.1%的LST空间变异。与MODIS对比显示，尽管存在系统性绝对温度差异，二者仍具有较强空间一致性（R² = 0.752–0.843）。气温以0.199 °C decade⁻¹的速率显著上升，人口由158万增至344万。研究结果表明，章县的热环境演变反映的是土地覆盖、气候与人口压力的交互作用，而非仅由城市增长所致。","Scientific Reports","2026-10-13T00:00:00Z",{"impact":64,"substance":64,"depth":64,"authority":64,"freshness":64,"relevant":64,"comment":345},"研究巴基斯坦城市扩张与热环境变化，属城市遥感与气候变化领域，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。",[347],{"name":342,"url":339},[28,349,350,29],"地表温度","城市热岛",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":353},{"candidates":354,"agricultural_evidence":14,"reason":59},[355,359],{"code":40,"score":50,"supported":14,"title":356,"abstract":357,"tags":358},[],[],[349,28],{"code":49,"score":22,"supported":14,"title":360,"abstract":361,"tags":362},[],[],[29],[364,365],"Jhang District 城市扩张 地表温度","Landsat LST 城市热岛","JhangDistrict城市扩张地表温度-5011","10.1038\u002Fs41598-026-75473-5",{"doi":367,"openalex_id":369,"authors":370,"venue":342,"cited_by_count":64,"oa_url":400,"card":401,"direction":84,"ingested_from":86},"W7221689409",[371,373,375,378,381,383,386,389,392,395,398],{"name":372,"orcid":9},"Rui Li",{"name":374,"orcid":9},"Yifei Yuan",{"name":376,"orcid":377},"Zainab Tahir","https:\u002F\u002Forcid.org\u002F0000-0002-1459-3527",{"name":379,"orcid":380},"Muhammad Haseeb","https:\u002F\u002Forcid.org\u002F0000-0002-0697-6894",{"name":382,"orcid":9},"Syed Amer Mahmoood",{"name":384,"orcid":385},"Aqil Tariq","https:\u002F\u002Forcid.org\u002F0000-0003-1196-1248",{"name":387,"orcid":388},"Khadeijah Yahya Faqeih","https:\u002F\u002Forcid.org\u002F0009-0002-4475-3453",{"name":390,"orcid":391},"Somayah Moshrif Alamri","https:\u002F\u002Forcid.org\u002F0009-0003-4601-9620",{"name":393,"orcid":394},"Eman Rafi Alamery","https:\u002F\u002Forcid.org\u002F0009-0006-7052-3239",{"name":396,"orcid":397},"Bilal Kemal","https:\u002F\u002Forcid.org\u002F0009-0002-2790-3229",{"name":399,"orcid":9},"Kucher E. Dmitry","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-75473-5_reference.pdf",{"tldr":402,"method":403,"finding":404,"direction":84,"opportunity":405},"基于35年Landsat数据，分析巴基斯坦Jhang地区城市扩张与地表热环境变化及其气候人口驱动。","Landsat LULC分类、LST、SUHI、UTFVI、热点分析、相关与多元","城市面积从62.67增至341.36 km²，最高LST升5.92°C，热环境受土地覆盖、气候和人口","可引入多源遥感与机器学习，量化气候变异和人口增长对热环境的非线性贡献，并拓展至农业区热风险研究。","2026-10-15T23:30:32.222123Z",{"id":408,"title":409,"url":410,"summary":411,"summary_zh":412,"content":9,"source_name":413,"source_url":410,"published_at":271,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":414,"score_detail":415,"sources":418,"tags":420,"primary_topic":9,"secondary_topics":424,"classification":425,"search_phrases":452,"slug":455,"view_count":22,"doi":456,"paper":457,"created_at":474},5001,"Mapping groundwater-dependent vegetation in temperate climates on the example of Central Germany","https:\u002F\u002Fdoi.org\u002F10.1098\u002Frsos.260538","Abstract Groundwater-dependent ecosystems are biodiversity hotspots that provide habitat for specialized species. The European Union (EU) Water Framework Directive (WFD) stresses the importance of identifying and protecting these ecosystems. So far, most studies focus on (semi-) arid regions, where groundwater use by ecosystems is both more prevalent and easier to detect. In this study, we adapt groundwater-dependent vegetation (GDV) mapping approaches developed for dry climates to temperate regions by replacing seasonal drought-based indicators with contrasts between dry and wet years. We implement this concept by integrating for the first time to our knowledge, ECOSTRESS evapotranspiration data with high-resolution remote sensing, regional geospatial data and botanical field observations. To test our framework, we trained and validated random forest models with eight predictor variables using 166 vegetation plots to identify GDV in Central Germany. Ground-truth GDV plots prefer cooler, wetter, nutrient-richer and more acidic to alkaline environments compared to non-GDV. The final model using a phreatophyte cover threshold of 25% representing GDV plots achieved a testing accuracy of 0.97, identifying 2067 km² of GDV. Currently, only 19% is protected under the EU WFD. The proposed mapping framework offers a solution for identifying GDV in temperate regions. The new GDV maps can contribute to managing groundwater resources and preserving biodiversity hotspots in regions facing increasing droughts, ultimately supporting the implementation of the EU WFD.","摘要 地下水依赖型生态系统是生物多样性热点区域，为特化物种提供栖息地。欧盟（EU）水框架指令（WFD）强调了识别和保护这些生态系统的重要性。迄今为止，大多数研究集中于（半）干旱地区，因为这些地区生态系统对地下水的利用更为普遍且更易检测。在本研究中，我们将针对干旱气候开发的地下水依赖型植被（GDV）制图方法推广至温带地区，以干湿年份之间的对比替代基于季节性干旱的指标。据我们所知，我们首次将ECOSTRESS蒸散发数据与高分辨率遥感、区域地理空间数据及植物学野外观测相结合来实现这一理念。为检验我们的框架，我们利用166个植被样地训练并验证了包含八个预测变量的随机森林模型，以识别德国中部的GDV。与未标记为GDV的样地相比，地面验证的GDV样地偏好更凉爽、更湿润、养分更丰富以及酸性至碱性的环境。最终模型采用25%的深根植物覆盖度阈值来判定GDV样地，达到了0.97的测试精度，识别出2067 km²的GDV。目前，其中仅有19%受到欧盟水框架指令的保护。所提出的制图框架为温带地区GDV的识别提供了解决方案。新的GDV地图可有助于管理地下水资源并保护面临日益加剧干旱区域的生物多样性热点，最终支持欧盟水框架指令的实施。","Royal Society Open Science",81,{"impact":103,"substance":179,"depth":103,"authority":416,"freshness":133,"relevant":22,"comment":417},14,"首次将ECOSTRESS蒸散发数据用于温带地区地下水依赖植被制图，方法新颖、精度高，对干旱加剧背景下的生态保护与水资源管理有参考价值。",[419],{"name":413,"url":410},[27,421,28,422,423],"生态保护","地下水依赖植被","欧盟水框架指令",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":426},{"candidates":427,"agricultural_evidence":14,"reason":59},[428,434,439,443,448],{"code":112,"score":133,"supported":42,"title":429,"abstract":430,"tags":433},[],[130,431,432],"蒸散发","evapotranspiration",[],{"code":49,"score":41,"supported":42,"title":435,"abstract":436,"tags":438},[],[437,119],"生物多样性",[421],{"code":40,"score":41,"supported":42,"title":440,"abstract":441,"tags":442},[],[45,46],[28],{"code":213,"score":89,"supported":42,"title":444,"abstract":445,"tags":447},[],[216,446],"drought",[],{"code":55,"score":22,"supported":14,"title":449,"abstract":450,"tags":451},[],[],[27],[453,454],"ECOSTRESS 蒸散发 遥感","德国中部 地下水依赖植被","ECOSTRESS蒸散发遥感-5001","10.1098\u002Frsos.260538",{"doi":456,"openalex_id":458,"authors":459,"venue":413,"cited_by_count":64,"oa_url":468,"card":469,"direction":84,"ingested_from":86},"W7221647026",[460,463,465],{"name":461,"orcid":462},"Léonard El-Hokayem","https:\u002F\u002Forcid.org\u002F0000-0002-0552-3949",{"name":464,"orcid":9},"David Emanuel Schulz",{"name":466,"orcid":467},"Christopher Conrad","https:\u002F\u002Forcid.org\u002F0000-0003-1077-7086","https:\u002F\u002Froyalsocietypublishing.org\u002Frsos\u002Farticle-pdf\u002Fdoi\u002F10.1098\u002Frsos.260538\u002F6170405\u002Frsos.260538.pdf",{"tldr":470,"method":471,"finding":472,"direction":84,"opportunity":473},"将干旱区地下水依赖植被制图方法迁移到温带，以德国中部为例绘制GDV分布图。","融合ECOSTRESS蒸散、高分辨率遥感、地理数据与166个植被样地，训练随机森","模型精度0.97，识别出2067 km² GDV，但仅19%受欧盟水框架指令保护。","温带GDV制图框架可推广至其他区域，并探索GDV与农业用水、干旱风险的耦合机制。","2026-10-15T23:30:29.070183Z",{"id":476,"title":477,"url":478,"summary":479,"summary_zh":480,"content":9,"source_name":481,"source_url":478,"published_at":482,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":64,"score_detail":483,"sources":485,"tags":487,"primary_topic":9,"secondary_topics":489,"classification":490,"search_phrases":501,"slug":504,"view_count":22,"doi":505,"paper":506,"created_at":534},4830,"Spatiotemporal dynamics and drivers of surface urban heat island intensity in Dhaka, Bangladesh using geospatial remote sensing","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44288-026-00767-0","Abstract Rapid urbanization has a profound impact on urban thermal environments, particularly in densely populated megacities. This study aims to assess the spatiotemporal dynamics of land surface temperature (LST), surface urban heat island (SUHI) intensity, land use\u002Fland cover (LULC) changes, and their primary driving factors in Dhaka City Corporation (DCC), Bangladesh, during the pre-monsoon season from 1990 to 2024. Using multi-temporal Landsat imagery and ancillary spatial datasets on Google Earth Engine (GEE), we observed a 194.54% increase in urban land, alongside substantial declines in vegetation (45.99%) and water bodies (75.57%). These classifications were validated with strong accuracy metrics (Overall Accuracy > 92%, Kappa > 89%, K-fold > 95%). Concurrently, LST rose dramatically, with areas exceeding 40 °C expanding to 70.06% by 2024, and traditional cool zones nearly disappearing. SUHI analysis showed a growing heat island effect, with recent nocturnal SUHI values surpassing daytime levels, indicating increased nighttime heat retention. Correlation and multiple linear regression analyses (R² = 0.801) identified NDBI, population density, and nighttime light intensity as the dominant positive drivers of LST, while vegetation and water bodies offered significant cooling potential. These findings highlight the urgent need to integrate ecological benchmarks (such as the 3-30-300 rule) and Sponge City designderscorn paradigms into Dhaka’s climate-resilient urban planning framework. Ultimately, this cloud-based multi-factor modeling framework provides a highly replicable, open-access blueprint to help rapidly growing megacities worldwide diagnose thermal vulnerability and mitigate escalating heat stress.","摘要 快速城市化对城市热环境产生了深远影响，尤其是在人口密集的超大城市中。本研究旨在评估1990年至2024年季风前季节孟加拉国达卡市辖区（DCC）地表温度（LST）、地表城市热岛（SUHI）强度、土地利用\u002F土地覆盖（LULC）变化及其主要驱动因素的时空动态。利用Google Earth Engine（GEE）平台上的多时相Landsat影像和辅助空间数据集，我们观察到城市用地增加了194.54%，同时植被（45.99%）和水体（75.57%）大幅减少。这些分类结果通过了严格的精度验证（总体精度>92%，Kappa>89%，K折>95%）。与此同时，LST急剧上升，超过40 °C的区域到2024年扩大至70.06%，传统凉爽区几乎消失。SUHI分析显示热岛效应不断增强，近期夜间SUHI值超过白天水平，表明夜间热量滞留加剧。相关分析和多元线性回归分析（R² = 0.801）确定NDBI、人口密度和夜间灯光强度是LST的主要正向驱动因素，而植被和水体则提供了显著的降温潜力。这些发现凸显了将生态基准（如3-30-300规则）和海绵城市设计范式纳入达卡气候韧性城市规划框架的迫切需求。最终，这一基于云的多因素建模框架提供了一个高度可复制、开放获取的蓝图，有助于全球快速发展的超大城市诊断热脆弱性并缓解不断升级的热胁迫。","Discover Geoscience","2026-10-11T00:00:00Z",{"impact":64,"substance":64,"depth":64,"authority":64,"freshness":64,"relevant":64,"comment":484},"研究孟加拉国达卡城市热岛与地表温度遥感监测，属城市气候与环境领域，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[486],{"name":481,"url":478},[28,350,29,488],"孟加拉国",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":491},{"candidates":492,"agricultural_evidence":14,"reason":59},[493,497],{"code":40,"score":133,"supported":42,"title":494,"abstract":495,"tags":496},[46],[],[28],{"code":49,"score":22,"supported":14,"title":498,"abstract":499,"tags":500},[],[],[29],[502,503],"达卡 城市热岛 遥感","Landsat 地表温度 城市扩张","达卡城市热岛遥感-4830","10.1007\u002Fs44288-026-00767-0",{"doi":505,"openalex_id":507,"authors":508,"venue":481,"cited_by_count":64,"oa_url":528,"card":529,"direction":84,"ingested_from":86},"W7221469610",[509,512,515,518,521,523,525],{"name":510,"orcid":511},"Shacin Chandra Saha","https:\u002F\u002Forcid.org\u002F0009-0004-4007-145X",{"name":513,"orcid":514},"Ummya Ayman Satil","https:\u002F\u002Forcid.org\u002F0009-0002-1639-7156",{"name":516,"orcid":517},"Nitun Paul","https:\u002F\u002Forcid.org\u002F0009-0008-3515-8496",{"name":519,"orcid":520},"Dipok Chandra Nath","https:\u002F\u002Forcid.org\u002F0009-0006-8250-7244",{"name":522,"orcid":9},"Farhana Rahman Nepa",{"name":524,"orcid":9},"Mir Md. Tasnim Alam",{"name":526,"orcid":527},"Sukhen Goswami","https:\u002F\u002Forcid.org\u002F0009-0007-8342-6822","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44288-026-00767-0.pdf",{"tldr":530,"method":531,"finding":532,"direction":84,"opportunity":533},"基于Landsat与GEE分析达卡1990-2024年地表温度与热岛时空变化及驱动因素。","多时相Landsat影像、GEE云平台、LULC分类、相关与多元线性回归。","城市扩张194.54%，40°C以上区域达70.06%，NDBI、人口密度与夜间灯光是主要增温驱动。","可将该云平台多因子框架迁移至城郊农业区，探究热岛对农田蒸散与作物产量的耦合影响。","2026-10-13T23:30:25.362277Z"]