[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4828":3,"related-4828":93},{"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":61,"slug":64,"view_count":22,"doi":65,"paper":66,"created_at":92},4828,"Reconstructed Evapotranspiration in Northern China: Trends, Drivers, and Ecohydrological Impacts","https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjoc.70627","ABSTRACT Attributing regional evapotranspiration (ET) and assessing its impacts are critical for understanding land‐atmosphere interactions in climate‐sensitive regions such as northern China. This study fuses six gridded ET products with in situ measurements using Random Forest after excluding poorly representative flux sites. The resulting monthly 0.25° dataset (1980 to 2021) outperforms all original products, reducing the cross‐validation RMSE from 15.15–22.03 mm month −1 to 11.54 mm month −1 . Based on reconstructed ET, significant increasing ET trends ( p \u003C 0.05) are observed on the Loess Plateau and North China Plain, with a mean trend of 13.3 mm (10a) −1 in humid regions. Using XGBoost with SHAP analysis reveals that precipitation dominates ET interannual variability in grasslands and bare lands, accounting for 35.4% to 40.6%. Yet, as a driver of the long‐term ET trend, precipitation is dominant only in about 5% of the region, specifically over bare land in western Inner Mongolia. Instead, NDVI drives ET trends over 52% of northern China, making vegetation greening a primary force enhancing ET under warming. Enhanced ET offsets precipitation‐driven water yield gains most markedly in semi‐arid regions. There, the ET‐induced reduction reaches −11.4 ± 7.7 mm (10a) −1 , exceeding the positive contribution from precipitation (2.3 ± 9.2 mm (10a) −1 ). Meanwhile, ET positively contributes to the Evaporative Stress Index (ET\u002FPET) over semi‐arid regions, generating a coexistence of ecological wetting but hydrological drying. This study provides ecological insights into ET changes and their contrasting hydrological impacts in climate‐sensitive regions.","摘要 归因区域蒸散发（ET）并评估其影响，对于理解中国北方等气候敏感地区的陆气相互作用至关重要。本研究在剔除代表性较差的通量站点后，利用随机森林将六种网格化ET产品与站点实测数据进行融合。所得1980—2021年月尺度0.25°数据集优于所有原始产品，将交叉验证的RMSE从15.15—22.03 mm month⁻¹降至11.54 mm month⁻¹。基于重建的ET，在黄土高原和华北平原观测到显著的ET增加趋势（p \u003C 0.05），湿润地区的平均趋势为13.3 mm (10a)⁻¹。利用XGBoost结合SHAP分析发现，降水主导了草地和裸地ET的年际变率，贡献率为35.4%至40.6%。然而，作为长期ET趋势的驱动因子，降水仅在大约5%的区域占主导，具体为内蒙古西部的裸地。相反，NDVI驱动了中国北方52%以上区域的ET趋势，使植被绿化成为增温背景下增强ET的主要力量。ET增强对降水驱动的水量增加的正向抵消在半干旱地区最为显著。在那里，ET引起的减少量达到−11.4 ± 7.7 mm (10a)⁻¹，超过了降水的正贡献（2.3 ± 9.2 mm (10a)⁻¹）。同时，ET对半干旱地区的蒸发胁迫指数（ET\u002FPET）有正贡献，导致生态变湿与水文变干并存。本研究为气候敏感地区ET变化及其截然不同的水文影响提供了生态学见解。",null,"International Journal of Climatology","2026-10-11T00:00:00Z","论文",10,false,81,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},18,23,19,14,7,1,"融合六套蒸散发产品重建华北0.25°长序列数据集，揭示植被绿化主导蒸散发上升及半干旱区生态变湿、水文变干的分异，对区域农业水资源管理有参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"农业水资源","NDVI","黄河流域","华北平原","遥感蒸散发",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"needs_review","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":14,"reason":60},[39,48,55],{"code":40,"score":41,"supported":42,"title":43,"abstract":45,"tags":47},"H3",15,true,[44],"evapotranspiration",[46,44],"蒸散发",[27],{"code":49,"score":50,"supported":42,"title":51,"abstract":52,"tags":54},"H7",3,[],[53],"干旱",[],{"code":56,"score":22,"supported":14,"title":57,"abstract":58,"tags":59},"I3",[],[],[28],"农业相关性需要复核",[62,63],"黄土高原 蒸散发 NDVI","华北平原 蒸散发 数据集","黄土高原蒸散发NDVI-4828","10.1002\u002Fjoc.70627",{"doi":65,"openalex_id":67,"authors":68,"venue":10,"cited_by_count":83,"oa_url":84,"card":85,"direction":89,"ingested_from":91},"W7221437954",[69,72,74,77,80],{"name":70,"orcid":71},"Hongyu Li","https:\u002F\u002Forcid.org\u002F0000-0001-6807-1874",{"name":73,"orcid":9},"Yubo Su",{"name":75,"orcid":76},"Qiang Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-9067-4070",{"name":78,"orcid":79},"Ping Yue","https:\u002F\u002Forcid.org\u002F0000-0001-8736-949X",{"name":81,"orcid":82},"Liang Zhang","https:\u002F\u002Forcid.org\u002F0000-0003-4013-3273",0,"https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002Fpdfdirect\u002F10.1002\u002Fjoc.70627",{"tldr":86,"method":87,"finding":88,"direction":89,"opportunity":90},"融合六套蒸散发产品重建中国北方1980-2021年ET数据集，并归因趋势与生态水文影响。","随机森林融合六套ET产品与站点观测，XGBoost结合SHAP归因。","NDVI主导52%区域ET趋势，半干旱区ET增强抵消降水产水增益，生态变湿但水文变干。","农业遥感与作物表型","可探究植被绿化与水资源约束的权衡，发展兼顾生态与水文安全的灌溉调控策略。","openalex","2026-10-13T23:30:25.195900Z",{"total":94,"page":22,"page_size":94,"items":95},6,[96,191,267,328,370,429],{"id":97,"title":98,"url":99,"summary":100,"summary_zh":101,"content":9,"source_name":102,"source_url":99,"published_at":103,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":104,"score_detail":105,"sources":110,"tags":112,"primary_topic":116,"secondary_topics":121,"classification":132,"search_phrases":162,"slug":165,"view_count":50,"doi":166,"paper":167,"created_at":190},3790,"Evaluation of the accuracy and response to recorded irrigation events of remote sensing and reanalysis soil moisture products in a typical irrigation district","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agwat.2026.110822","Soil moisture (SM) plays a critical role in the land–atmosphere water cycle and agricultural water resource management. However, the applicability of prevalent SM products in typical irrigation districts remains insufficiently assessed. In this study, two in situ SM observation networks—an automatic meteorological station network (AMS) and an agro-meteorological experimental station network (AES)—were used to comprehensively evaluate the accuracy and irrigation-associated response characteristics of seven microwave and reanalysis SM products in the North China Plain. The results indicated that: (1) AES-based evaluations generally showed a higher overall correlation (R = 0.58) and smaller errors with the SM products than AMS-based evaluations (R = 0.54). However, when restricted to common observation dates, the correlation coefficients decreased while the biases were close to zero in the AES-based evaluation. (2) Significant differences were observed among the evaluated products under different monitoring objectives. The ERA5-Land reanalysis product performed best for continuous SM monitoring, while the European Space Agency Climate Change Initiative (ESA CCI) Passive product achieved the highest correlation coefficient with in situ observations (R = 0.69) and the lowest unbiased root mean square error (ubRMSE = 0.043 m 3 m −3 ) on recorded irrigation days and exhibited a comparatively pronounced positive SM response under precipitation-controlled conditions, indicating greater sensitivity to short-term irrigation-associated wetting. (3) Strict precipitation control substantially affected the interpretation of irrigation-associated responses. ERA5-Land and GLDAS-Noah showed little systematic positive change when precipitation was controlled using both station observations and model precipitation forcing, while threshold-based probability of detection (POD) varied substantially with the selected SM response threshold. These findings demonstrate that product suitability depends on the monitoring objective and that precipitation attribution and threshold sensitivity should be explicitly considered when using SM products for irrigation-related applications.","土壤水分（SM）在陆气水循环和农业水资源管理中起着至关重要的作用。然而，主流SM产品在典型灌区的适用性仍缺乏充分评估。本研究利用两套原位SM观测网络——自动气象站网络（AMS）和农业气象实验站网络（AES），综合评估了七种微波和再分析SM产品在华北平原的精度及与灌溉相关的响应特征。结果表明：（1）基于AES的评估总体上显示出比基于AMS的评估更高的整体相关性（R = 0.58）和更小的误差（R = 0.54）。然而，当限定于共同观测日期时，基于AES的评估中相关系数下降，而偏差接近于零。（2）在不同监测目标下，所评估产品之间存在显著差异。ERA5-Land再分析产品在连续SM监测中表现最佳，而欧洲空间局气候变化倡议（ESA CCI）被动产品在记录灌溉日与原位观测的相关系数最高（R = 0.69），无偏均方根误差最低（ubRMSE = 0.043 m³ m⁻³），并在降水控制条件下表现出相对明显的SM正响应，表明其对短期灌溉相关增湿具有更高的敏感性。（3）严格的降水控制显著影响了对灌溉相关响应的解释。当利用站点观测和模型降水强迫控制降水时，ERA5-Land和GLDAS-Noah几乎未表现出系统性正变化，而基于阈值的检测概率（POD）随所选SM响应阈值的变化而显著变化。这些发现表明，产品适用性取决于监测目标，且在将SM产品用于灌溉相关应用时，应明确考虑降水归因和阈值敏感性。","Agricultural Water Management","2026-09-28T00:00:00Z",74,{"impact":106,"substance":107,"depth":17,"authority":20,"freshness":108,"relevant":22,"comment":109},12,22,8,"基于华北平原实测网络的七种土壤水分产品评估，为灌溉监测产品选型提供实证依据，专业价值较高但属细分领域研究。",[111],{"name":102,"url":99},[27,113,114,115,30],"遥感","土壤墒情","灌溉管理",{"code":40,"slug":117,"name":118,"path":119,"parent_code":120},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",[122,127],{"code":123,"slug":124,"name":125,"path":126,"parent_code":120},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":56,"slug":128,"name":129,"path":130,"parent_code":131},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"status":133,"locked":14,"version":35,"method":36,"evidence":134},"classified",{"candidates":135,"agricultural_evidence":42},[136,143,148,154],{"code":40,"score":19,"supported":42,"title":137,"abstract":138,"tags":142},[117],[139,140,117,141],"灌溉","水资源","water resource",[27,115],{"code":123,"score":41,"supported":42,"title":144,"abstract":145,"tags":147},[124],[146,124],"土壤",[114],{"code":56,"score":106,"supported":42,"title":149,"abstract":151,"tags":153},[150],"remote sensing",[152],"估产",[113],{"code":49,"score":155,"supported":42,"title":156,"abstract":157,"tags":161},9,[],[158,159,160],"气候变化","农业气象","climate change",[],[163,164],"ESA CCI 土壤水分 灌溉","华北平原 土壤水分 遥感","ESACCI土壤水分灌溉-3790","10.1016\u002Fj.agwat.2026.110822",{"doi":166,"openalex_id":168,"authors":169,"venue":102,"cited_by_count":83,"oa_url":184,"card":185,"direction":89,"ingested_from":91},"W7214549221",[170,173,175,177,179,181],{"name":171,"orcid":172},"Rui Zhu","https:\u002F\u002Forcid.org\u002F0000-0002-6114-6412",{"name":174,"orcid":9},"Yu Li",{"name":176,"orcid":9},"Jiawei Lv",{"name":178,"orcid":9},"Lei Wang",{"name":180,"orcid":9},"Zhiqing Cheng",{"name":182,"orcid":183},"Dong Wu","https:\u002F\u002Forcid.org\u002F0000-0002-3202-255X","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0378377426007043\u002Fpdf",{"tldr":186,"method":187,"finding":188,"direction":89,"opportunity":189},"评估七种遥感与再分析土壤湿度产品在典型灌区的精度及对灌溉事件的响应。","用自动气象站与农业气象站两套实测网络，对比七种微波\u002F再分析产品。","ESA CCI Passive对灌溉日响应最灵敏，ERA5-Land适合连续监测，降水控制影响响应判","可针对灌溉事件构建降水控制下的阈值自适应土壤湿度响应检测方法，提升灌区遥感监测可靠性。","2026-09-29T23:30:28.424080Z",{"id":192,"title":193,"url":194,"summary":195,"summary_zh":196,"content":9,"source_name":197,"source_url":194,"published_at":198,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":199,"score_detail":200,"sources":205,"tags":207,"primary_topic":211,"secondary_topics":212,"classification":218,"search_phrases":240,"slug":243,"view_count":244,"doi":245,"paper":246,"created_at":266},3551,"Diachronic Assessment of Water Springs in Ribat El Kheir Plateau (Morocco), under Climatic and Anthropogenic Pressure, Using Remote Sensing (1985-2025)","https:\u002F\u002Fdoi.org\u002F10.4028\u002Fp-9o0ojj","The Ribat El Kheir plateau, located in the northern part of the Tabular Middle Atlas (Morocco), is characterized by carbonate formations (Liasic dolomitic limestones) and a dense network of tectonic faults. This study conducts a diachronic assessment of water springs and their interaction with climatic conditions and anthropogenic factors related to the expansion of irrigated agriculture (farms) from 1985 to 2025. A multi-source methodological approach was adopted, combining the inventory and mapping of springs, the application of remote sensing, using Landsat and Sentinel satellite imagery, and the calculation of standard indices, including the Normalized Difference Water Index (NDWI), the Normalized Difference Vegetation Index (NDVI), and the Standardized Precipitation Index (SPI). The results indicate that a combination of geomorphological context primarily influences the spatial distribution of the 101 inventoried springs, the lithological nature of the formations (permeable dolomites), structural features, and climatic factors. However, a significant regression in both the number and flow of these springs has been observed. Concurrently, irrigated fruit agriculture has expanded remarkably over the study period. The SPI analysis further reveals a climatic trend towards increased aridity. These findings highlight the critical and synergistic pressure of climate change and intensive agriculture on water resources in this vulnerable semi-arid region.","位于摩洛哥中阿特拉斯板状山脉北部的里巴特·埃尔·海尔（Ribat El Kheir）高原，以碳酸盐岩地层（里阿斯统白云质灰岩）和密集的构造断裂网络为特征。本研究对1985年至2025年间泉水动态及其与气候条件和灌溉农业（农场）扩张相关人为因素的相互作用进行了历时性评估。研究采用多源方法学途径，结合泉水编录与制图、遥感技术应用（利用Landsat和Sentinel卫星影像）以及标准指数的计算，包括归一化差异水体指数（NDWI）、归一化差异植被指数（NDVI）和标准化降水指数（SPI）。结果表明，101处编录泉水的空间分布主要受地貌背景、地层岩性特征（渗透性白云岩）、构造特征及气候因素的综合影响。然而，观测到这些泉水的数量和流量均出现显著衰退。与此同时，灌溉果树农业在研究期内显著扩张。SPI分析进一步揭示了气候趋于干旱化的趋势。这些发现凸显了气候变化与集约化农业对这一脆弱半干旱地区水资源的临界协同压力。","International journal of engineering research in Africa","2026-09-25T00:00:00Z",67,{"impact":108,"substance":201,"depth":202,"authority":203,"freshness":155,"relevant":22,"comment":204},20,17,13,"基于Landsat与Sentinel遥感的40年泉水退化评估，方法扎实、数据翔实，但属区域案例研究，对国内三农实践的直接参考价值有限。",[206],{"name":197,"url":194},[27,28,208,209,210],"遥感监测","灌溉农业","干旱化",{"code":56,"slug":128,"name":129,"path":130,"parent_code":131},[213,217],{"code":49,"slug":214,"name":215,"path":216,"parent_code":120},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"code":40,"slug":117,"name":118,"path":119,"parent_code":120},{"status":133,"locked":14,"version":35,"method":36,"evidence":219},{"candidates":220,"agricultural_evidence":42},[221,226,230,234],{"code":56,"score":222,"supported":42,"title":223,"abstract":224,"tags":225},16,[150],[113,150],[28,208],{"code":49,"score":155,"supported":42,"title":227,"abstract":228,"tags":229},[],[158,53,160],[],{"code":40,"score":108,"supported":42,"title":231,"abstract":232,"tags":233},[],[139,140],[27,209],{"code":235,"score":50,"supported":42,"title":236,"abstract":237,"tags":239},"B2",[],[238],"果树",[],[241,242],"Ribat El Kheir 泉水 遥感","摩洛哥 灌溉农业 水资源","RibatElKheir泉水遥感-3551",2,"10.4028\u002Fp-9o0ojj",{"doi":245,"openalex_id":247,"authors":248,"venue":197,"cited_by_count":83,"oa_url":9,"card":261,"direction":89,"ingested_from":91},"W7214294130",[249,251,252,255,257,258],{"name":250,"orcid":9},"Hamid Achiban",{"name":250,"orcid":9},{"name":253,"orcid":254},"Miloud Afenzar","https:\u002F\u002Forcid.org\u002F0009-0008-0839-0230",{"name":256,"orcid":9},"Hassan Achiban",{"name":256,"orcid":9},{"name":259,"orcid":260},"Nourddine El Gali","https:\u002F\u002Forcid.org\u002F0009-0001-7025-4765",{"tldr":262,"method":263,"finding":264,"direction":89,"opportunity":265},"基于遥感和指数分析，评估摩洛哥Ribat El Kheir高原1985-2025年泉水数量与流量的退","Landsat\u002FSentinel影像、NDWI\u002FNDVI\u002FSPI指数、泉水编目与","泉水数量与流量显著减少，灌溉农业扩张与气候干旱化协同加剧水资源压力。","可结合多源遥感与机器学习，量化灌溉扩张对泉水流量的贡献，并预测未来情景。","2026-09-26T23:30:29.568284Z",{"id":268,"title":269,"url":270,"summary":271,"summary_zh":272,"content":9,"source_name":273,"source_url":270,"published_at":274,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":275,"score_detail":276,"sources":278,"tags":280,"primary_topic":285,"secondary_topics":286,"classification":287,"search_phrases":307,"slug":310,"view_count":83,"doi":311,"paper":312,"created_at":327},5575,"Wetland vegetation dynamics and its linkage with climatic, hydrological, and land-use\u002F land cover changes in the Foket floodplain of the Fetam River Watershed, Northwestern Ethiopia","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44274-026-01136-x","Timely monitoring of wetland changes is vital for effective conservation and management of the landscape. This study, therefore, examines vegetation dynamics and their climatic, hydrological, and land-use drivers in the Foket floodplain wetland, Upper Blue Nile basin, Ethiopia. The LULC analysis was employed based on 1985, 2002, and 2020 cloud-free Landsat images. The maximum likelihood classification algorithm was applied to classify the images into eight LULC classes. The spatial and temporal dynamics of the floodplain’s surface water were further analyzed using the Global Surface Water Explorer (1984–2020), focusing on water occurrence, seasonality, transitions, and changes in surface-water dynamics. The Normalized Difference Vegetation Index (NDVI) was used to assess the temporal dynamics of wetland vegetation, while annual rainfall, temperature, and evapotranspiration data were used to examine the climatic context of vegetation change. The results reveal that the area coverage of water body and wetland decreased by 63.2% and 29%, respectively, over the study period. In contrast, cultivated land, settlement, and eucalyptus plantation had expanded by 39.8%, 280.6%, and 380%, respectively, at the expense of wetland, woodland, and shrubland. Surface-water dynamics showed a substantial decline in seasonally inundated areas and changes in the spatial distribution and persistence of surface water. This indicates the reduction of the floodplain’s hydrological connectivity. The NDVI analysis also revealed a significant increasing of wetland vegetation over 1985–2020\u002F21. Vegetation growth was very fast during 1985–2000, slowed down between 2001 and 2012, and dropped slightly from 2013 to 2020\u002F21. Analysis of climatic variables showed no major change in annual rainfall or evapotranspiration, whereas temperature exhibited a significant upward trend. The overall findings revealed the association of the floodplain vegetation dynamics with land-use land cover, hydrological, and climatic changes. This indicates that land-use land cover, hydrological, and climatic changes have contributed to the degradation of the floodplain vegetation, highlighting the urgent need for integrated management interventions that regulate agricultural expansion, grazing, and water diversion while maintaining hydrological connectivity and wetland vegetation. Clinical trial number Not applicable (NA).","及时监测湿地变化对于景观的有效保护和管理至关重要。因此，本研究考察了埃塞俄比亚上青尼罗河流域福凯特洪泛平原湿地的植被动态及其气候、水文和土地利用驱动因素。基于1985年、2002年和2020年无云Landsat影像进行土地利用\u002F土地覆盖（LULC）分析，采用最大似然分类算法将影像分为八个LULC类别。进一步利用全球地表水探索器（1984—2020年）分析洪泛平原地表水的时空动态，重点关注水的出现频率、季节性、转换及地表水动态变化。采用归一化差异植被指数（NDVI）评估湿地植被的时间动态，同时利用年降水量、气温和蒸散发数据考察植被变化的气候背景。结果表明，研究期间水体和湿地的面积覆盖率分别下降了63.2%和29%。相比之下，耕地、居民点和桉树种植园分别扩张了39.8%、280.6%和380%，侵占了湿地、林地和灌丛。地表水动态显示季节性淹没区域大幅减少，地表水的空间分布和持续性发生变化，表明洪泛平原水文连通性降低。NDVI分析还揭示1985—2020\u002F21年间湿地植被显著增加。植被生长在1985—2000年间非常迅速，2001—2012年间放缓，2013—2020\u002F21年间略有下降。气候变量分析显示年降水量或蒸散发无重大变化，而气温呈显著上升趋势。总体研究结果揭示了洪泛平原植被动态与土地利用\u002F土地覆盖、水文和气候变化的关联。这表明土地利用\u002F土地覆盖、水文和气候变化共同导致了洪泛平原植被退化，凸显了迫切需要综合管理干预措施，以调控农业扩张、放牧和引水，同时维持水文连通性和湿地植被。临床试验编号：不适用（NA）。","Discover Environment","2026-10-20T00:00:00Z",65,{"impact":108,"substance":201,"depth":222,"authority":106,"freshness":155,"relevant":22,"comment":277},"基于Landsat与NDVI的湿地植被动态实证研究，数据扎实但属区域案例，国际参考价值有限，不宜进入每日精选。",[279],{"name":273,"url":270},[28,281,282,283,284],"埃塞俄比亚","土地利用变化","湿地遥感","水文连通性",{"code":40,"slug":117,"name":118,"path":119,"parent_code":120},[],{"status":133,"locked":14,"version":35,"method":36,"evidence":288},{"candidates":289,"agricultural_evidence":42},[290,294,298,303],{"code":40,"score":94,"supported":42,"title":291,"abstract":292,"tags":293},[],[46,44],[],{"code":49,"score":50,"supported":42,"title":295,"abstract":296,"tags":297},[],[158],[],{"code":299,"score":22,"supported":14,"title":300,"abstract":301,"tags":302},"H6",[],[],[282],{"code":56,"score":22,"supported":14,"title":304,"abstract":305,"tags":306},[],[],[28],[308,309],"土地利用变化 埃塞俄比亚 水文连通性 湿地遥感","土地利用变化 埃塞俄比亚","土地利用变化埃塞俄比亚水文连通性湿地遥感-5575","10.1007\u002Fs44274-026-01136-x",{"doi":311,"openalex_id":313,"authors":314,"venue":273,"cited_by_count":83,"oa_url":321,"card":322,"direction":89,"ingested_from":91},"W7223064056",[315,318],{"name":316,"orcid":317},"Workiyie Worie Assefa","https:\u002F\u002Forcid.org\u002F0000-0002-4029-9022",{"name":319,"orcid":320},"Belachew Getnet Eneyew","https:\u002F\u002Forcid.org\u002F0000-0003-1196-9004","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44274-026-01136-x.pdf",{"tldr":323,"method":324,"finding":325,"direction":89,"opportunity":326},"分析埃塞俄比亚Foket洪泛湿地植被动态及其气候、水文与土地利用驱动因素。","用Landsat影像做最大似然分类，结合全球地表水数据与NDVI及气候数据分析。","水体与湿地面积大幅减少，耕地、居民点和桉树种植扩张，温度显著上升。","可结合多源遥感与水文连通性指标，量化湿地退化对农业灌溉与乡村生态服务的影响。","2026-10-22T11:20:42.476484Z",{"id":329,"title":330,"url":331,"summary":332,"summary_zh":9,"content":9,"source_name":333,"source_url":331,"published_at":334,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":335,"score_detail":336,"sources":338,"tags":340,"primary_topic":9,"secondary_topics":342,"classification":343,"search_phrases":354,"slug":357,"view_count":83,"doi":358,"paper":359,"created_at":369},5489,"Estimating Evapotranspiration Using the SEBAL Model and Remote Sensing: Spatiotemporal Dynamics in Quara District, Northwest Ethiopia","https:\u002F\u002Fdoi.org\u002F10.21203\u002Frs.3.rs-11063250\u002Fv1","Estimating Evapotranspiration Using the SEBAL Model and Remote Sensing: Spatiotemporal Dynamics in Quara District, Northwest Ethiopia。Research Square","Research Square","2026-10-19T00:00:00Z",50,{"impact":108,"substance":222,"depth":20,"authority":155,"freshness":50,"relevant":22,"comment":337},"该研究用SEBAL模型与遥感估算埃塞俄比亚西北部蒸散发，方法有一定参考价值，但属区域性案例研究，公共影响有限，且发布已逾一周，时效性偏弱，不建议进入每日精选。",[339],{"name":333,"url":331},[27,113,46,281,341],"SEBAL模型",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":344},{"candidates":345,"agricultural_evidence":14,"reason":60},[346,350],{"code":40,"score":203,"supported":42,"title":347,"abstract":348,"tags":349},[44],[44],[27,46],{"code":56,"score":106,"supported":42,"title":351,"abstract":352,"tags":353},[150],[150],[113],[355,356],"SEBAL 模型 遥感 蒸散发","Quara 地区 蒸散发","SEBAL模型遥感蒸散发-5489","10.21203\u002Frs.3.rs-11063250\u002Fv1",{"doi":358,"openalex_id":360,"authors":361,"venue":333,"cited_by_count":83,"oa_url":368,"card":9,"direction":89,"ingested_from":91},"W7222946042",[362,364,366],{"name":363,"orcid":9},"Mulatu Ayalew",{"name":365,"orcid":9},"Balew Yeneneh",{"name":367,"orcid":9},"Muktar Asmamaw","https:\u002F\u002Fwww.researchsquare.com\u002Farticle\u002Frs-11063250\u002Flatest.pdf","2026-10-21T23:30:25.009175Z",{"id":371,"title":372,"url":373,"summary":374,"summary_zh":375,"content":9,"source_name":376,"source_url":373,"published_at":334,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":377,"score_detail":378,"sources":380,"tags":382,"primary_topic":9,"secondary_topics":386,"classification":387,"search_phrases":407,"slug":410,"view_count":83,"doi":411,"paper":412,"created_at":428},5481,"Comparison of Satellite-Based Drought Monitoring Indicators (NDVI, NDMI, and LST): The Case of the Northern Aegean Drainage Basin","https:\u002F\u002Fdoi.org\u002F10.30910\u002Fturkjans.2010067","Thanks to advancements in technology, satellite remote sensing provides a valuable means of monitoring the spatial and temporal responses of vegetation, surface moisture conditions, and land surface temperature to drought. Its capacity to monitor large areas with high temporal continuity significantly eliminates the spatial limitations of ground observations. This allows for the simultaneous and comparable analysis of key variables such as vegetation dynamics, soil moisture, and land surface temperature. Indicators such as the Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), and Land Surface Temperature (LST) provide complementary information on vegetation condition, surface moisture, and thermal stress, thereby supporting drought monitoring. This integrated monitoring framework supports the sustainable management of water resources while strengthening the scientific basis of decision-making processes, significantly contributing to disaster risk reduction. This study comparatively evaluates NDVI, NDMI, and LST values derived from Landsat 8 data obtained in March, April, and May between 2019 and 2022, and examines the relationships between these variables across the Northern Aegean Drainage Basin (NADB). The results show increasingly strong negative relationships between LST and the spectral indices from March to May, with the strongest correlations observed in May for NDMI–LST (r = −0.78) and NDVI–LST (r = −0.74). The NDMI-LST relationship can be said to be slightly better than the NDVI-LST relationship. The correlation coefficient between NDMI and NDVI was calculated to be lowest in March at r=0.54 and highest in May at r=0.90. It was determined that areas with high LST values had lower NDVI and NDMI values. Drought monitoring using remote sensing methods is important in terms of time and accuracy, but it is not sufficient on its own. In addition to problems arising from satellite imagery, land surfaces are affected by short-term climatic factors. Therefore, the indices obtained from satellite images must be evaluated together with meteorological and terrestrial data. However, it is thought that satellite-based drought monitoring will produce more reliable results under current technological and methodological conditions.","得益于技术进步，卫星遥感为监测植被、地表水分状况和地表温度对干旱的时空响应提供了重要手段。其大范围、高时间连续性的监测能力显著消除了地面观测的空间局限性，使得植被动态、土壤水分和地表温度等关键变量能够被同步、可比地分析。归一化差异植被指数（NDVI）、归一化差异水分指数（NDMI）和地表温度（LST）等指标提供了关于植被状况、地表水分和热胁迫的互补信息，从而支持干旱监测。这一综合监测框架既支持水资源的可持续管理，又增强了决策过程的科学基础，对减少灾害风险具有重要贡献。本研究对2019年至2022年3月、4月和5月获取的Landsat 8数据所衍生的NDVI、NDMI和LST值进行了比较评估，并考察了北爱琴海流域（NADB）内这些变量之间的关系。结果表明，从3月到5月，LST与光谱指数之间的负相关关系日益增强，5月观测到最强相关性，NDMI–LST（r = −0.78）和NDVI–LST（r = −0.74）。可以认为NDMI-LST关系略优于NDVI-LST关系。NDMI与NDVI之间的相关系数在3月最低（r=0.54），5月最高（r=0.90）。研究确定，LST值较高的区域其NDVI和NDMI值较低。利用遥感方法进行干旱监测在时间和精度方面具有重要意义，但仅靠其自身并不充分。除卫星影像带来的问题外，地表还受到短期气候因素的影响。因此，从卫星影像获得的指数必须与气象和地面数据结合评估。然而，可以认为在当前技术和方法条件下，基于卫星的干旱监测将产生更可靠的结果。","Türk Tarım ve Doğa Bilimleri Dergisi",61,{"impact":108,"substance":17,"depth":41,"authority":106,"freshness":108,"relevant":22,"comment":379},"方法对比扎实、结论明确，但属区域案例研究，公共影响有限，适合作为遥感干旱监测主题的补充素材而非头条精选。",[381],{"name":376,"url":373},[28,208,383,384,385],"干旱监测","NDMI","LST",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":388},{"candidates":389,"agricultural_evidence":14,"reason":60},[390,395,399,403],{"code":49,"score":41,"supported":42,"title":391,"abstract":393,"tags":394},[392],"drought",[53,392],[383],{"code":56,"score":108,"supported":42,"title":396,"abstract":397,"tags":398},[],[113,150],[28,208],{"code":123,"score":94,"supported":42,"title":400,"abstract":401,"tags":402},[],[146,124],[],{"code":40,"score":50,"supported":42,"title":404,"abstract":405,"tags":406},[],[140],[],[408,409],"北爱琴海流域 干旱监测","干旱监测 遥感监测 NDMI NDVI","北爱琴海流域干旱监测-5481","10.30910\u002Fturkjans.2010067",{"doi":411,"openalex_id":413,"authors":414,"venue":376,"cited_by_count":83,"oa_url":421,"card":422,"direction":427,"ingested_from":91},"W7222954725",[415,418],{"name":416,"orcid":417},"Arman Monshizadeh Karimi","https:\u002F\u002Forcid.org\u002F0000-0002-2945-5346",{"name":419,"orcid":420},"İ̇smail Taş","https:\u002F\u002Forcid.org\u002F0000-0003-0872-2529","https:\u002F\u002Fdergipark.org.tr\u002Fen\u002Fdownload\u002Farticle-file\u002F6296754",{"tldr":423,"method":424,"finding":425,"direction":89,"opportunity":426},"比较Landsat 8的NDVI、NDMI与LST三种遥感干旱指标在北爱琴海流域的相关性。","用2019-2022年3-5月Landsat 8数据计算NDVI、NDMI、LS","LST与NDMI、NDVI负相关随春季增强，5月最强（r=-0.78、-0.74），NDMI略优。","可融合气象与地面数据构建多源干旱指数，并验证NDMI-LST关系在其他气候区的普适性。","智慧农业 \u002F 农业物联网","2026-10-21T23:30:10.758669Z",{"id":430,"title":431,"url":432,"summary":433,"summary_zh":9,"content":9,"source_name":434,"source_url":9,"published_at":435,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":436,"score_detail":437,"sources":439,"tags":441,"primary_topic":446,"secondary_topics":451,"classification":452,"search_phrases":464,"slug":467,"view_count":22,"doi":9,"paper":468,"created_at":477},5303,"济南大学《Frontiers in Sustainable Food Systems》:极端高温威胁中国粮食韧性——黄河流域9省研究","https:\u002F\u002Fagritechinsights.com\u002Findex.php\u002F2026\u002F10\u002F17\u002Fextreme-heat-threatens-chinas-grain-resilience","济南大学商学院王雯雯团队发表论文,基于2013-2022年黄河流域9省面板数据构建\"粮食生产韧性指数\"评估农业系统抵御、恢复和适应冲击能力;研究发现无论是热浪还是寒潮等极端温度事件都持续削弱该区域维持稳定粮食产出的能力;数字乡村建设(精准农具、气候智能咨询服务、移动金融)对气候冲击起缓冲作用,但小型、欠发达区域的脆弱性更为突出。","Frontiers in Sustainable Food Systems(2026)","2026-10-17T00:00:00Z",80,{"impact":17,"substance":107,"depth":19,"authority":203,"freshness":108,"relevant":22,"comment":438},"基于黄河流域9省面板数据的实证研究，结论有政策参考价值，数字乡村的缓冲作用值得关注。",[440],{"name":434,"url":432},[442,443,29,444,445],"数字乡村","气候适应","粮食韧性","极端高温",{"code":447,"slug":448,"name":449,"path":450,"parent_code":131},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village",[],{"status":133,"locked":14,"version":35,"method":36,"evidence":453},{"candidates":454,"agricultural_evidence":42},[455,460],{"code":447,"score":456,"supported":42,"title":457,"abstract":458,"tags":459},4,[],[442],[442],{"code":49,"score":22,"supported":14,"title":461,"abstract":462,"tags":463},[],[],[443],[465,466],"济南大学 粮食韧性 黄河流域","数字乡村 极端高温 粮食生产","济南大学粮食韧性黄河流域-5303",{"doi":9,"openalex_id":9,"authors":469,"venue":9,"cited_by_count":83,"oa_url":9,"card":470,"direction":474,"ingested_from":476},[],{"tldr":471,"method":472,"finding":473,"direction":474,"opportunity":475},"基于黄河流域9省面板数据，评估极端温度对粮食生产韧性的影响及数字乡村的缓冲作用。","2013-2022年黄河流域9省面板数据，构建粮食生产韧性指数。","热浪与寒潮均持续削弱粮食产出稳定性，数字乡村建设有缓冲作用但小规模欠发达地区更脆弱。","农业绿色发展与碳","可探究数字乡村工具在不同规模农户间的差异化缓冲机制，聚焦小农户气候适应技术采纳路径。","agent","2026-10-19T00:07:48.704792Z"]