[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4030":3,"related-4030":119},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":50,"search_phrases":92,"slug":95,"view_count":22,"doi":96,"paper":97,"created_at":118},4030,"Enhancing Drought Monitoring Using Integrated Remote Sensing and Ground-Based Indices","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jastp.2026.106987","ABSTRACT Accurate and timely drought monitoring is essential for sustainable water resource management, particularly in semi-arid regions where meteorological observations are sparse and spatially heterogeneous. This study presents an integrated evaluation of drought conditions by applying established individual and composite drought indices within a unified multi-source framework that combines ground-based meteorological data with satellite-derived datasets, including MODIS land surface products and GPM\u002FTRMM precipitation estimates, and is implemented on the Google Earth Engine platform. A set of drought indicators representing vegetation condition, thermal stress, precipitation deficit, and soil moisture variability was analyzed alongside five composite indices to provide a multi-dimensional assessment of drought dynamics. The analysis was conducted across monthly, seasonal, and annual timescales for Tehran, Iran, over the period 2000–2022. In addition, trend significance was assessed using the Mann–Kendall test and Sen’s slope estimator to quantify long-term changes in drought behavior. The results indicate that composite indices provide a more coherent representation of drought evolution and are more effective in capturing the interaction among key climatic drivers. In particular, the analysis reveals a transition from precipitation-driven droughts (e.g., 2008 and 2016) to increasingly temperature-driven drought conditions (e.g., 2022), associated with elevated potential evapotranspiration and thermal stress. This highlights the growing importance of atmospheric evaporative demand in intensifying drought severity under warming conditions. From an applied perspective, the proposed framework supports drought early warning, spatial risk assessment, and informed decision-making in water resource management and agricultural planning. However, the reliability of the results depends on data quality, spatial resolution, and the representation of key drought drivers and should therefore be interpreted with these limitations in mind. The study demonstrates that the integrated application of multi-source data and multi-scale drought indices provides a robust basis for understanding and monitoring drought dynamics in semi-arid urban environments.","准确的干旱监测对于可持续水资源管理至关重要，尤其是在气象观测稀疏且空间异质性强的半干旱地区。本研究在统一的多源框架内，应用已有的单一和综合干旱指数对干旱状况进行综合评估，该框架将地面气象数据与卫星遥感数据集（包括MODIS地表产品和GPM\u002FTRMM降水估算）相结合，并在Google Earth Engine平台上实现。研究分析了表征植被状况、热胁迫、降水亏缺和土壤湿度变率的干旱指标集以及五种综合指数，以对干旱动态进行多维评估。分析在月、季和年尺度上针对伊朗德黑兰2000—2022年期间开展。此外，采用Mann–Kendall检验和Sen斜率估计器评估趋势显著性，以量化干旱行为的长期变化。结果表明，综合指数能更一致地表征干旱演变，且更能有效捕捉关键气候驱动因子之间的相互作用。具体而言，分析揭示了从降水驱动型干旱（如2008年和2016年）向日益增强的温度驱动型干旱（如2022年）的转变，这与潜在蒸散和热胁迫升高有关。这凸显了在变暖条件下大气蒸发需求在加剧干旱严重程度方面日益重要的作用。从应用角度看，所提出的框架可支持干旱预警、空间风险评估以及水资源管理和农业规划中的知情决策。然而，结果的可靠性取决于数据质量、空间分辨率以及关键干旱驱动因子的表征，因此在解读时应考虑这些局限性。本研究表明，多源数据与多尺度干旱指数的综合应用为理解和监测半干旱城市环境中的干旱动态提供了稳健基础。",null,"Journal of Atmospheric and Solar-Terrestrial Physics","2026-10-01T00:00:00Z","论文",10,false,74,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},14,21,18,13,8,1,"多源遥感与地面指数融合的干旱监测框架，方法扎实、结论有新意，但属区域案例研究，产业影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"农业气象","水资源管理","遥感监测","Google Earth Engine","干旱预警",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[39,44],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"status":51,"locked":14,"version":52,"method":53,"evidence":54},"classified","2026-10-22.2","rules",{"candidates":55,"agricultural_evidence":58},[56,64,70,77,85],{"code":33,"score":57,"supported":58,"title":59,"abstract":61,"tags":63},16,true,[60],"drought",[62,60],"干旱",[27,31],{"code":45,"score":20,"supported":58,"title":65,"abstract":67,"tags":69},[66],"remote sensing",[68],"遥感",[30,29],{"code":40,"score":13,"supported":58,"title":71,"abstract":72,"tags":76},[],[73,74,75],"水资源","water resource","evapotranspiration",[28],{"code":78,"score":79,"supported":58,"title":80,"abstract":81,"tags":84},"H2",6,[],[82,83],"土壤","soil",[],{"code":86,"score":87,"supported":58,"title":88,"abstract":89,"tags":91},"J1",3,[],[90],"农业规划",[],[93,94],"MODIS GPM 干旱指数","德黑兰 干旱监测 遥感","MODISGPM干旱指数-4030","10.1016\u002Fj.jastp.2026.106987",{"doi":96,"openalex_id":98,"authors":99,"venue":10,"cited_by_count":110,"oa_url":6,"card":111,"direction":115,"ingested_from":117},"W7215092640",[100,103,105,107],{"name":101,"orcid":102},"Hadi Siasar","https:\u002F\u002Forcid.org\u002F0000-0002-9323-4345",{"name":104,"orcid":9},"Mahboube Ebrahimi",{"name":106,"orcid":9},"Mehdi Bahrami",{"name":108,"orcid":109},"Hossein Hamidifar","https:\u002F\u002Forcid.org\u002F0000-0001-9054-0120",0,{"tldr":112,"method":113,"finding":114,"direction":115,"opportunity":116},"整合遥感与地面数据，在GEE上评估德黑兰2000–2022年多尺度干旱动态。","MODIS、GPM\u002FTRMM与气象数据，构建5种复合干旱指数，Mann-Kend","复合指数更一致；干旱由降水驱动转向温度驱动，蒸散需求加剧干旱。","农业遥感与作物表型","可引入机器学习融合多源指数，提升半干旱区干旱预警的时空精度与驱动归因。","openalex","2026-10-02T23:30:24.756475Z",{"total":79,"page":22,"page_size":79,"items":120},[121,190,265,329,386,455],{"id":122,"title":123,"url":124,"summary":125,"summary_zh":126,"content":9,"source_name":127,"source_url":124,"published_at":128,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":129,"score_detail":130,"sources":135,"tags":137,"primary_topic":141,"secondary_topics":142,"classification":145,"search_phrases":170,"slug":173,"view_count":22,"doi":174,"paper":175,"created_at":189},4504,"Development of the Potential Evapotranspiration-Vegetation-Precipitation Drought Index (PETVPDI) and Its Application in West Africa Using Remote Sensing Datasets","https:\u002F\u002Fdoi.org\u002F10.3390\u002Frs18193435","Drought remains one of the most severe climate-related hazards affecting water resources, ecosystems, and agricultural productivity in West Africa (WA). Traditional drought indices often rely on individual hydroclimatic or vegetation variables and may not fully represent the coupled effects of precipitation supply, atmospheric evaporative demand, and vegetation response. To address this limitation, this study develops and applies a composite drought indicator, the Potential Evapotranspiration–Vegetation–Precipitation Drought Index (PETVPDI), using multi-source remote sensing datasets over WA for 2001–2022. PETVPDI integrates precipitation (P), potential evapotranspiration (PET), and the normalized difference vegetation index (NDVI) within a three-dimensional Euclidean-distance framework. The index was evaluated against GLDAS soil moisture (SM), ESA CCI SM, gross primary productivity (GPP), and net primary productivity (NPP), and compared with four conventional remote-sensing drought indices (cRSDI): VCI, VHI, TVDI, and TVPDI. Deseasonalized anomaly correlations, used as the primary validation evidence to reduce the influence of the shared monsoon seasonal cycle, show that PETVPDI achieved the highest numerical correlations among the evaluated indices with GLDAS SM (R = 0.556, p \u003C 0.001), ESA CCI SM (R = 0.513, p \u003C 0.001), and GPP (R = 0.483, p \u003C 0.001). Steiger’s tests for dependent overlapping correlations show that the PETVPDI–TVPDI difference was statistically significant for raw GLDAS SM and deseasonalized ESA CCI SM, but not for the other evaluated comparisons. Spatial PETVPDI patterns represent each pixel’s relative position within its own 2001–2022 hydroclimatic and vegetation range and therefore should not be interpreted as direct differences in absolute climatic aridity among locations. Long-term trends are spatially heterogeneous across WA. Overall, PETVPDI provides an integrated framework for monitoring relative drought–wetness variability and offers complementary information for drought assessment and early-warning applications in data-scarce regions.","干旱仍然是影响西非（WA）水资源、生态系统和农业生产力最严重的气候相关灾害之一。传统干旱指数通常依赖单一的水文气候或植被变量，可能无法充分反映降水供给、大气蒸发需求和植被响应之间的耦合效应。为解决这一局限，本研究利用2001—2022年西非多源遥感数据集，开发并应用了一种复合干旱指标——潜在蒸散–植被–降水干旱指数（PETVPDI）。PETVPDI在三维欧氏距离框架内整合了降水（P）、潜在蒸散（PET）和归一化差异植被指数（NDVI）。该指数以GLDAS土壤湿度（SM）、ESA CCI SM、总初级生产力（GPP）和净初级生产力（NPP）进行评估，并与四种传统遥感干旱指数（cRSDI）：VCI、VHI、TVDI和TVPDI进行比较。以去季节化异常相关性作为主要验证依据，以减少共同季风季节循环的影响，结果表明PETVPDI在所评估的指数中与GLDAS SM（R = 0.556，p \u003C 0.001）、ESA CCI SM（R = 0.513，p \u003C 0.001）和GPP（R = 0.483，p \u003C 0.001）的数值相关性最高。针对相依重叠相关性的Steiger检验表明，PETVPDI–TVPDI差异在原始GLDAS SM和去季节化ESA CCI SM上具有统计学显著性，但在其他评估比较中不显著。PETVPDI的空间格局表示每个像元在其自身2001—2022年水文气候和植被范围内的相对位置，因此不应被解释为地点之间绝对气候干燥度的直接差异。长期趋势在西非呈现空间异质性。总体而言，PETVPDI为监测相对干旱–湿润变率提供了一个集成框架，并为数据稀缺地区的干旱评估和预警应用提供了补充信息。","Remote Sensing","2026-10-08T00:00:00Z",75,{"impact":131,"substance":132,"depth":19,"authority":17,"freshness":133,"relevant":22,"comment":134},12,22,9,"提出融合降水、蒸散与植被的复合干旱指数，方法新颖、验证扎实，对数据稀缺区农业干旱预警有参考价值，但区域局限于西非，国内应用关联度有限。",[136],{"name":127,"url":124},[138,27,29,139,140],"粮食安全","西非农业","干旱指数",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[143,144],{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"status":51,"locked":14,"version":52,"method":53,"evidence":146},{"candidates":147,"agricultural_evidence":58},[148,152,157,161,165],{"code":33,"score":57,"supported":58,"title":149,"abstract":150,"tags":151},[60],[62,60],[27,140],{"code":45,"score":153,"supported":58,"title":154,"abstract":155,"tags":156},15,[66],[68,66],[29],{"code":40,"score":17,"supported":58,"title":158,"abstract":159,"tags":160},[75],[73,75],[],{"code":78,"score":79,"supported":58,"title":162,"abstract":163,"tags":164},[],[82,83],[],{"code":166,"score":22,"supported":14,"title":167,"abstract":168,"tags":169},"A8",[],[],[138],[171,172],"PETVPDI 干旱指数 西非","遥感 干旱监测 NDVI","PETVPDI干旱指数西非-4504","10.3390\u002Frs18193435",{"doi":174,"openalex_id":176,"authors":177,"venue":127,"cited_by_count":110,"oa_url":124,"card":184,"direction":115,"ingested_from":117},"W7220963372",[178,181],{"name":179,"orcid":180},"Abdoul-Aziz Bio Sidi D. Bouko","https:\u002F\u002Forcid.org\u002F0009-0003-1179-8046",{"name":182,"orcid":183},"Bing Gao","https:\u002F\u002Forcid.org\u002F0000-0003-0782-8858",{"tldr":185,"method":186,"finding":187,"direction":115,"opportunity":188},"构建融合蒸散、植被与降水的复合干旱指数PETVPDI，并用于西非2001—2022年干旱监测。","多源遥感数据，三维欧氏距离整合P、PET、NDVI，与土壤湿度、GPP\u002FNPP及","PETVPDI与土壤湿度和GPP的相关性最高，能更好反映干旱-湿润相对变化，但趋势空间异质。","可将该复合指数迁移至其他数据稀缺区，并结合作物产量或灌溉需水做农业干旱预警与适应性研究。","2026-10-09T23:30:25.838340Z",{"id":191,"title":192,"url":193,"summary":194,"summary_zh":195,"content":9,"source_name":196,"source_url":193,"published_at":197,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":198,"score_detail":199,"sources":203,"tags":205,"primary_topic":210,"secondary_topics":211,"classification":214,"search_phrases":238,"slug":241,"view_count":242,"doi":243,"paper":244,"created_at":264},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":21,"substance":200,"depth":201,"authority":20,"freshness":133,"relevant":22,"comment":202},20,17,"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。",[204],{"name":196,"url":193},[206,207,29,208,209],"农业水资源","NDVI","灌溉农业","干旱化",{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},[212,213],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"status":51,"locked":14,"version":52,"method":53,"evidence":215},{"candidates":216,"agricultural_evidence":58},[217,221,227,232],{"code":45,"score":57,"supported":58,"title":218,"abstract":219,"tags":220},[66],[68,66],[207,29],{"code":33,"score":133,"supported":58,"title":222,"abstract":223,"tags":226},[],[224,62,225],"气候变化","climate change",[],{"code":40,"score":21,"supported":58,"title":228,"abstract":229,"tags":231},[],[230,73],"灌溉",[206,208],{"code":233,"score":87,"supported":58,"title":234,"abstract":235,"tags":237},"B2",[],[236],"果树",[],[239,240],"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":243,"openalex_id":245,"authors":246,"venue":196,"cited_by_count":110,"oa_url":9,"card":259,"direction":115,"ingested_from":117},"W7214294130",[247,249,250,253,255,256],{"name":248,"orcid":9},"Hamid Achiban",{"name":248,"orcid":9},{"name":251,"orcid":252},"Miloud Afenzar","https:\u002F\u002Forcid.org\u002F0009-0008-0839-0230",{"name":254,"orcid":9},"Hassan Achiban",{"name":254,"orcid":9},{"name":257,"orcid":258},"Nourddine El Gali","https:\u002F\u002Forcid.org\u002F0009-0001-7025-4765",{"tldr":260,"method":261,"finding":262,"direction":115,"opportunity":263},"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":266,"title":267,"url":268,"summary":269,"summary_zh":270,"content":9,"source_name":271,"source_url":268,"published_at":272,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":273,"score_detail":274,"sources":276,"tags":278,"primary_topic":280,"secondary_topics":281,"classification":283,"search_phrases":299,"slug":302,"view_count":242,"doi":303,"paper":304,"created_at":328},2674,"Bi-decadal drought assessment in Northwestern Algeria: Integrating meteorological and remote sensing indices","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00704-026-06526-y","Abstract Drought is an escalating hazard in arid and semi‑arid regions with significant implications for agriculture, ecosystems, and water resources. This study presents a 2003–2023 integrated assessment of meteorological and vegetation-based drought across northwest Algeria, using the Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset and Moderate Resolution Imaging Spectroradiometer (MODIS) remotely‑sensed products. Meteorological drought was quantified with the Standardized Precipitation Index (SPI) approximated using standardized precipitation anomalies, at 3‑, 6‑, and 12‑month timescales, whereas vegetation and thermal stress were assessed with MODIS‑derived Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI). Temporal trends were evaluated using the Mann–Kendall test and Sen’s slope estimator, and relationships between precipitation and vegetation were examined with Pearson correlation. We identified recurrent drought episodes in 2007–2009, 2011–2012, and a pronounced dry phase from 2020–2023. Mann–Kendall results indicated widespread drying across all SPI timescales, with 56% of the study area showing significant negative trends at SPI‑3 (mean Sen’s slope = − 0.10 yr⁻ 1 ). Vegetation indices mirrored these changes, with VHI showing substantially more degraded area than improvement (4.89% vs 0.51% of the domain), while VCI and TCI responses were spatially heterogeneous. The correlation analysis showed moderate but statistically significant relationships between SPI and VHI at the short-term scale (SPI-3 vs. VHI, r = 0.567, p = 0.007), followed by SPI-6 ( r = 0.509, p = 0.019), indicating that vegetation response is more strongly associated with short- to medium-term precipitation variability. These results demonstrate the value of combining meteorological and satellite vegetation indices for regional drought monitoring and early warning, and underscore an ongoing shift toward increased aridity with implications for water management and agricultural adaptation.","摘要 干旱是干旱和半干旱地区日益加剧的灾害，对农业、生态系统和水资源具有重大影响。本研究利用气候灾害组红外降水与站点数据（CHIRPS）数据集和中分辨率成像光谱仪（MODIS）遥感产品，对阿尔及利亚西北部2003—2023年气象干旱和基于植被的干旱进行了综合评估。气象干旱采用标准化降水指数（SPI）量化，该指数通过标准化降水距平在3个月、6个月和12个月时间尺度上近似计算；植被和热胁迫则通过MODIS衍生的植被状态指数（VCI）、温度状态指数（TCI）和植被健康指数（VHI）进行评估。采用Mann–Kendall检验和Sen斜率估计器评估时间趋势，并使用Pearson相关分析检验降水与植被之间的关系。我们识别出2007—2009年、2011—2012年的反复干旱事件，以及2020—2023年显著的干旱阶段。Mann–Kendall结果表明，所有SPI时间尺度上均呈现大范围干旱化趋势，研究区56%的面积在SPI-3上表现出显著负趋势（Sen斜率均值 = −0.10 yr⁻¹）。植被指数反映了这些变化，VHI显示退化面积远大于改善面积（分别占研究区的4.89%和0.51%），而VCI和TCI的响应在空间上具有异质性。相关分析表明，SPI与VHI在短期尺度上存在中等但统计显著的关系（SPI-3与VHI，r = 0.567，p = 0.007），其次为SPI-6（r = 0.509，p = 0.019），表明植被响应与短期至中期降水变率的关系更为密切。这些结果证明了结合气象指标和卫星植被指数进行区域干旱监测与预警的价值，并凸显了干旱化持续加剧的趋势及其对水资源管理和农业适应的影响。","Theoretical and Applied Climatology","2026-09-15T00:00:00Z",71,{"impact":131,"substance":18,"depth":201,"authority":20,"freshness":21,"relevant":22,"comment":275},"基于CHIRPS与MODIS的阿尔及利亚西北部20年干旱综合评估，方法整合气象与遥感指标，结论对区域干旱监测与农业适应有参考价值，但属境外区域研究，国内产业影响有限。",[277],{"name":271,"url":268},[27,28,29,279,31],"植被指数",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[282],{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":14,"version":52,"method":53,"evidence":284},{"candidates":285,"agricultural_evidence":58},[286,290,294],{"code":33,"score":57,"supported":58,"title":287,"abstract":288,"tags":289},[60],[62,60],[27,31],{"code":45,"score":20,"supported":58,"title":291,"abstract":292,"tags":293},[66],[68],[279,29],{"code":40,"score":295,"supported":58,"title":296,"abstract":297,"tags":298},4,[],[73],[28],[300,301],"水资源管理 农业气象 干旱预警 植被指数","水资源管理 农业气象","水资源管理农业气象干旱预警植被指数-2674","10.1007\u002Fs00704-026-06526-y",{"doi":303,"openalex_id":305,"authors":306,"venue":271,"cited_by_count":110,"oa_url":268,"card":323,"direction":115,"ingested_from":117},"W7213346236",[307,310,313,316,318,321],{"name":308,"orcid":309},"Ramzi Benhizia","https:\u002F\u002Forcid.org\u002F0000-0002-8967-2051",{"name":311,"orcid":312},"Brahim Abdelkebir","https:\u002F\u002Forcid.org\u002F0000-0002-8761-8537",{"name":314,"orcid":315},"Behnam Ata","https:\u002F\u002Forcid.org\u002F0000-0002-9690-7269",{"name":317,"orcid":9},"Mukovhe Vele Singo",{"name":319,"orcid":320},"Kwanele Phinzi","https:\u002F\u002Forcid.org\u002F0000-0003-1865-7011",{"name":322,"orcid":9},"György Szabó",{"tldr":324,"method":325,"finding":326,"direction":115,"opportunity":327},"整合气象与遥感指数评估阿尔及利亚西北部2003–2023年干旱演变。","CHIRPS降水与MODIS植被指数，SPI、VCI、TCI、VHI，Mann-","全区普遍变干，SPI-3显著负趋势占56%，VHI退化面积远大于改善，短期降水与植被相关性最强。","可引入机器学习融合多源遥感与气象数据，构建区域干旱预警与作物适应性决策模型。","2026-09-16T23:30:30.795285Z",{"id":330,"title":331,"url":332,"summary":333,"summary_zh":9,"content":9,"source_name":334,"source_url":332,"published_at":335,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":336,"score_detail":337,"sources":339,"tags":341,"primary_topic":344,"secondary_topics":345,"classification":347,"search_phrases":363,"slug":366,"view_count":87,"doi":367,"paper":368,"created_at":385},3329,"Nonlinear threshold effects of waterlogging stress on crop productivity across China: A remote sensing-based macro-assessment","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104985","Nonlinear threshold effects of waterlogging stress on crop productivity across China: A remote sensing-based macro-assessment。Agricultural Systems","Agricultural Systems","2026-09-23T00:00:00Z",84,{"impact":132,"substance":18,"depth":19,"authority":17,"freshness":133,"relevant":22,"comment":338},"基于遥感开展全国尺度涝渍胁迫非线性阈值评估，方法新颖、结论具宏观参考价值，值得进入每日精选。",[340],{"name":334,"url":332},[138,27,342,29,343],"作物产量","涝渍胁迫",{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},[346],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":51,"locked":14,"version":52,"method":53,"evidence":348},{"candidates":349,"agricultural_evidence":58},[350,354,359],{"code":45,"score":20,"supported":58,"title":351,"abstract":352,"tags":353},[66],[66],[342,29],{"code":33,"score":131,"supported":58,"title":355,"abstract":357,"tags":358},[356],"waterlogging",[356],[27],{"code":166,"score":22,"supported":14,"title":360,"abstract":361,"tags":362},[],[],[138],[364,365],"全国 涝渍胁迫 作物产量 遥感","作物产量 农业气象 涝渍胁迫 粮食安全","全国涝渍胁迫作物产量遥感-3329","10.1016\u002Fj.agsy.2026.104985",{"doi":367,"openalex_id":369,"authors":370,"venue":334,"cited_by_count":110,"oa_url":332,"card":9,"direction":115,"ingested_from":117},"W7214084384",[371,373,375,377,379,381,383],{"name":372,"orcid":9},"Yi Yang",{"name":374,"orcid":9},"Shuyang Wu",{"name":376,"orcid":9},"Tianqi Ge",{"name":378,"orcid":9},"Weimin Jin",{"name":380,"orcid":9},"Hanqing Wu",{"name":382,"orcid":9},"Bofu Zheng",{"name":384,"orcid":9},"Wei Wan","2026-09-24T23:30:04.275048Z",{"id":387,"title":388,"url":389,"summary":390,"summary_zh":391,"content":9,"source_name":392,"source_url":389,"published_at":393,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":394,"score_detail":395,"sources":397,"tags":399,"primary_topic":403,"secondary_topics":404,"classification":406,"search_phrases":423,"slug":426,"view_count":110,"doi":427,"paper":428,"created_at":454},2324,"Inferring groundwater overdraft in data-scarce arid agro-ecosystems: a semi-empirical remote sensing framework applied to the Elfeija watershed, Morocco","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffeart.2026.1914670","Introduction Small-scale irrigated agriculture in arid regions relies heavily on unmetered groundwater, creating an “invisible pumping” threat to aquifer sustainability. Monitoring these diffuse withdrawals remains a critical challenge for water governance. This study proposes a synergistic multi-sensor remote sensing workflow to infer groundwater abstraction and assess its impact on local water stress using a semi-empirical thermal-phenological model. Methods We leveraged high-resolution vegetation phenology (NDVI) from Sentinel-2 and thermal data (LST) from Landsat 8\u002F9 over the Elfeija watershed, Morocco (2020–2024). By isolating the thermal-phenological anomaly (ΔLST) between irrigated plots and natural reference areas, we translated the surface cooling effect into evapotranspiration fluxes and pumping volumes. To ensure physical plausibility and avoid circularity, the approach was constrained by independent bottom-up agronomic benchmarks alongside a multi-tier cross-comparison against global models (MOD16, ERA5-Land, GLEAM), and a rigorous Monte Carlo uncertainty propagation integrating both parametric and recharge uncertainties. Results The analysis reveals a distinct seasonal signature of irrigation. Probabilistic modeling indicates that the inferred annual pumping for 2022 (central estimates: 5.85–6.79 Mm 3 ) strongly suggests a state of severe overdraft, with a high probability (P > 80%) of exceeding the estimated renewable aquifer recharge (4.70 Mm 3 ). Furthermore, the framework successfully disentangled climatic triggers from anthropogenic forcing, capturing an anomalous, water-intensive late-season agricultural cycle in 2024. Discussion While the lack of in-situ piezometric data limits absolute ground-truthing, the multi-source convergence (global models and local infrastructure data) robustly brackets the overdraft scenario. The proposed semi-empirical inference workflow provides a scalable, cost-effective framework for data-scarce regions, offering river basin agencies a proactive tool to identify over-extraction hotspots and negotiate sustainable water quotas.","引言 干旱地区的小规模灌溉农业严重依赖未计量的地下水，对含水层可持续性构成了“隐形抽水”威胁。监测这些分散取水仍是水治理面临的关键挑战。本研究提出一种多传感器协同遥感工作流程，利用半经验热-物候模型推断地下水开采量并评估其对局部水资源压力的影响。方法 我们利用Sentinel-2的高分辨率植被物候（NDVI）和Landsat 8\u002F9的热数据（LST），覆盖摩洛哥Elfeija流域（2020—2024年）。通过分离灌溉地块与自然参照区之间的热-物候异常（ΔLST），我们将地表冷却效应转化为蒸散发通量和抽水量。为确保物理合理性和避免循环论证，该方法受到独立自下而上的农学基准约束，并与全球模型（MOD16、ERA5-Land、GLEAM）进行多层级交叉比较，同时通过严格的蒙特卡洛不确定性传播整合参数不确定性和补给不确定性。结果 分析揭示了灌溉明显的季节性特征。概率建模表明，2022年推断的年抽水量（中心估计值：5.85—6.79 Mm³）强烈提示存在严重超采状态，超过估计可再生含水层补给量（4.70 Mm³）的概率较高（P > 80%）。此外，该框架成功地将气候触发因素与人为强迫区分开来，捕捉到2024年异常的、高耗水的晚季农业周期。讨论 尽管缺乏原位测压数据限制了绝对的地面验证，但多源汇聚（全球模型和本地基础设施数据）稳健地界定了超采情景。所提出的半经验推断工作流程为数据稀缺地区提供了可扩展、成本效益高的框架，为流域机构提供了主动识别过度开采热点并协商可持续用水配额的工具。","Frontiers in Earth Science","2026-09-11T00:00:00Z",79,{"impact":19,"substance":132,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":396},"提出多源遥感半经验框架推断数据稀缺区地下水超采，方法新颖、结论可靠，对农业水资源治理有参考价值。",[398],{"name":392,"url":389},[28,29,400,401,402],"智慧灌溉","地下水超采","干旱农业",{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},[405],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"status":51,"locked":14,"version":52,"method":53,"evidence":407},{"candidates":408,"agricultural_evidence":58},[409,413,419],{"code":45,"score":153,"supported":58,"title":410,"abstract":411,"tags":412},[66],[68,66],[29],{"code":40,"score":414,"supported":58,"title":415,"abstract":416,"tags":418},11,[],[230,73,417,41,75],"蒸散发",[400,28],{"code":33,"score":87,"supported":58,"title":420,"abstract":421,"tags":422},[],[62],[],[424,425],"地下水超采 水资源管理 干旱农业 智慧灌溉","地下水超采 水资源管理","地下水超采水资源管理干旱农业智慧灌溉-2324","10.3389\u002Ffeart.2026.1914670",{"doi":427,"openalex_id":429,"authors":430,"venue":392,"cited_by_count":110,"oa_url":389,"card":449,"direction":115,"ingested_from":117},"W7212247745",[431,434,437,440,443,446],{"name":432,"orcid":433},"Rachid Amiha","https:\u002F\u002Forcid.org\u002F0000-0002-9863-6685",{"name":435,"orcid":436},"Belkacem Kabbachi","https:\u002F\u002Forcid.org\u002F0000-0003-3802-1256",{"name":438,"orcid":439},"Mohamed Ait Haddou","https:\u002F\u002Forcid.org\u002F0000-0002-0587-1230",{"name":441,"orcid":442},"Youssef Bouchriti","https:\u002F\u002Forcid.org\u002F0000-0002-8566-1451",{"name":444,"orcid":445},"Hicham Gougueni","https:\u002F\u002Forcid.org\u002F0000-0001-5340-7566",{"name":447,"orcid":448},"Mustapha Ikirri","https:\u002F\u002Forcid.org\u002F0000-0002-9971-6249",{"tldr":450,"method":451,"finding":452,"direction":115,"opportunity":453},"提出半经验遥感框架，在摩洛哥缺水灌区推断地下水超采量。","Sentinel-2 NDVI与Landsat 8\u002F9 LST构建热-物候异常，","2022年抽水量5.85–6.79 Mm³，超补给量概率超80%，呈严重超采。","可迁移至其他数据稀缺干旱区，融合多源遥感与用水配额决策支持。","2026-09-13T23:30:23.143553Z",{"id":456,"title":457,"url":458,"summary":459,"summary_zh":460,"content":9,"source_name":461,"source_url":458,"published_at":462,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":463,"score_detail":464,"sources":466,"tags":468,"primary_topic":471,"secondary_topics":472,"classification":477,"search_phrases":528,"slug":531,"view_count":110,"doi":532,"paper":533,"created_at":556},5483,"Soil Salinity under Climate Change in Pakistan: Emerging Challenges and Sustainable Management Approaches for Agriculture","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fkjard.2.10.2026.883","Soil salinity is a major constraint to agricultural productivity, soil health, and food security in Pakistan, particularly under changing climatic conditions. Rising temperatures, increased evapotranspiration, irregular precipitation, droughts, flooding, and sea-level rise can intensify salt accumulation and alter soil–water interactions. This review examines the emerging challenges associated with climate change and soil salinity in Pakistan, focusing on their impacts on soil properties, crop physiology, agricultural production, and rural livelihoods. It discusses the mechanisms of soil salinity and sodicity, their spatial distribution, and the interactions among climate variability, irrigation practices, groundwater quality, and secondary salinization. Furthermore, sustainable management approaches are evaluated, including gypsum application, organic amendments, integrated nutrient management, efficient irrigation, drainage improvement, and appropriate leaching strategies. Climate-resilient approaches, such as conventional crop breeding, modern biotechnology, halophyte utilization, plant growth-promoting microorganisms, and mycorrhizal associations, are also explored. The review highlights the potential of remote sensing, geographic information systems, precision agriculture, and predictive modelling to support salinity monitoring and site-specific management. Despite these opportunities, important challenges remain, including insufficient long-term monitoring, limited region-specific data, economic constraints, and gaps in farmer awareness and institutional coordination. Addressing these challenges requires integrated research, effective agricultural policies, improved extension services, and collaboration among researchers, policymakers, and farming communities. Prioritizing locally adapted, economically feasible, and environmentally sustainable interventions can strengthen agricultural resilience, restore salt-affected soils, and protect freshwater resources. Overall, integrating climate adaptation with sustainable soil and water management is essential for maintaining agricultural productivity and improving long-term food security in Pakistan.","土壤盐渍化是制约巴基斯坦农业生产力、土壤健康和粮食安全的主要因素，在气候变化条件下尤为突出。气温升高、蒸散加剧、降水不规律、干旱、洪水以及海平面上升可能加剧盐分积累并改变土壤—水相互作用。本文综述了巴基斯坦气候变化与土壤盐渍化相关的新兴挑战，重点关注其对土壤性质、作物生理、农业生产和农村生计的影响。文章讨论了土壤盐渍化和钠质化的机制、其空间分布，以及气候变率、灌溉实践、地下水质量和次生盐渍化之间的相互作用。此外，评估了可持续管理途径，包括施用石膏、有机改良、综合养分管理、高效灌溉、排水改良和适宜的淋洗策略。还探讨了气候韧性方法，如常规作物育种、现代生物技术、盐生植物利用、植物促生微生物和菌根共生。本文强调了遥感、地理信息系统、精准农业和预测建模在支持盐渍化监测和因地制宜管理方面的潜力。尽管存在这些机遇，重要挑战依然存在，包括长期监测不足、区域特定数据有限、经济制约以及农民意识和制度协调方面的差距。应对这些挑战需要综合研究、有效的农业政策、改进的推广服务以及研究人员、政策制定者和农业社区之间的协作。优先采取适应当地、经济可行且环境可持续的干预措施，可增强农业韧性、修复盐渍化土壤并保护淡水资源。总体而言，将气候适应与可持续水土管理相结合，对于维持巴基斯坦农业生产力和改善长期粮食安全至关重要。","Kashmir Journal of Academic Research and Development","2026-10-20T00:00:00Z",66,{"impact":20,"substance":19,"depth":153,"authority":131,"freshness":21,"relevant":22,"comment":465},"综述性论文，系统梳理气候变化下巴基斯坦土壤盐渍化成因与可持续治理路径，兼具遥感与精准农业视角，对盐碱地治理议题有参考价值，但属区域性综述、非突破性成果。",[467],{"name":461,"url":458},[224,469,29,400,470],"盐碱地治理","土壤盐渍化",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[473,476],{"code":78,"slug":83,"name":474,"path":475,"parent_code":37},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"status":51,"locked":14,"version":52,"method":53,"evidence":478},{"candidates":479,"agricultural_evidence":58},[480,485,489,493,498,503,510,517,523],{"code":33,"score":19,"supported":58,"title":481,"abstract":482,"tags":484},[225],[224,483,62,225],"气候适应",[224],{"code":78,"score":153,"supported":58,"title":486,"abstract":487,"tags":488},[83],[82,83],[469],{"code":40,"score":13,"supported":58,"title":490,"abstract":491,"tags":492},[],[230,73,41,75],[400],{"code":45,"score":494,"supported":58,"title":495,"abstract":496,"tags":497},7,[],[68,66],[29],{"code":166,"score":79,"supported":58,"title":499,"abstract":500,"tags":502},[],[138,501],"food security",[],{"code":504,"score":79,"supported":58,"title":505,"abstract":506,"tags":509},"I1",[],[507,508],"精准农业","precision agriculture",[],{"code":511,"score":79,"supported":58,"title":512,"abstract":513,"tags":516},"I4",[],[514,515],"地理信息","geographic information",[],{"code":518,"score":87,"supported":58,"title":519,"abstract":520,"tags":522},"F3",[],[521],"养分管理",[],{"code":86,"score":87,"supported":58,"title":524,"abstract":525,"tags":527},[],[526],"农业政策",[],[529,530],"巴基斯坦 土壤盐渍化","盐碱地 遥感监测","巴基斯坦土壤盐渍化-5483","10.71317\u002Fkjard.2.10.2026.883",{"doi":532,"openalex_id":534,"authors":535,"venue":461,"cited_by_count":110,"oa_url":458,"card":551,"direction":115,"ingested_from":117},"W7222999158",[536,538,540,542,544,546,549],{"name":537,"orcid":9},"Asifa Naz",{"name":539,"orcid":9},"Muhammad Abu Baker Siddiq",{"name":541,"orcid":9},"Syed Asghar Hussain Shah",{"name":543,"orcid":9},"Shahrish Nawaz",{"name":545,"orcid":9},"Muhmmad Irfan",{"name":547,"orcid":548},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":550,"orcid":9},"Muhammad Nouman Khalid",{"tldr":552,"method":553,"finding":554,"direction":115,"opportunity":555},"综述气候变化下巴基斯坦土壤盐渍化的挑战与可持续管理途径。","文献综述，整合盐渍化机制、空间分布及遥感GIS与预测模型应用。","需将气候适应与水土管理结合，优先本地化、经济可行的干预措施。","可填补长期盐渍化监测与区域数据空白，发展遥感+预测模型的精准分区治理。","2026-10-21T23:30:23.059448Z"]