[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3852":3,"related-3852":87},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":9,"secondary_topics":31,"classification":32,"search_phrases":58,"slug":61,"view_count":21,"doi":62,"paper":63,"created_at":86},3852,"Rainfall–Surface Temperature Coupling and Compound Dry-Hot Persistence Across Northwestern Bangladesh: A 25-Year Multi-Sensor Earth Observation Analysis","https:\u002F\u002Fdoi.org\u002F10.11648\u002Fj.ajrs.20261402.17","Understanding how rainfall variability regulates land-surface thermal conditions is essential for climate-sensitive regions where water availability, vegetation dynamics, and heat stress interact. However, the temporal persistence and spatial heterogeneity of rainfall–surface temperature relationships remain insufficiently characterized in northwestern Bangladesh. This study integrates 25 years (2001–2025) of multi-source Earth observation data, including Terra MODIS land-surface temperature (MOD11A2), MODIS vegetation index (MOD13A2), and CHIRPS precipitation, to quantify pre-monsoon hydrothermal coupling across 16 districts of the Rajshahi and Rangpur divisions. A total of 275 quality-controlled 8-day March–May composites were analyzed using Mann–Kendall trend tests, Sen's slope estimation, fixed-effects distributed lag models, and a locally standardized compound dry-hot persistence indicator. Mean daytime land-surface temperature ranged from 27.93°C in Kurigram to 31.38°C in Chapai Nawabganj. No district exhibited a significant daytime land-surface temperature trend after false-discovery-rate correction, whereas NDVI increased significantly across all districts. The distributed-lag model showed that 10 mm of concurrent rainfall was associated with a 0.164°C lower daytime land-surface temperature (95% CI: −0.224 to −0.103°C), while rainfall during the preceding 8–16 days was associated with a weaker effect (−0.093°C per 10 mm). The 16–24-day rainfall effect was not significant. Rainfall sensitivity varied considerably among districts, ranging from −0.538°C per 10 mm in Rajshahi to −0.123°C per 10 mm in Lalmonirhat. These findings demonstrate that satellite-derived hydrothermal responses are spatially heterogeneous and highlight the value of multi-sensor Earth observation frameworks for identifying location-specific climate adaptation priorities.","理解降雨变率如何调控地表热状况，对于水资源可利用性、植被动态与热胁迫相互作用的气候敏感区至关重要。然而，在孟加拉国西北部，降雨—地表温度关系的时间持续性与空间异质性仍缺乏充分刻画。本研究整合了25年（2001—2025年）的多源地球观测数据，包括Terra MODIS地表温度（MOD11A2）、MODIS植被指数（MOD13A2）和CHIRPS降水数据，以量化拉杰沙希和朗布尔专区16个地区的季风前水热耦合关系。研究分析了275幅经质量控制、时间分辨率为8天的3—5月合成影像，采用Mann–Kendall趋势检验、Sen's斜率估计、固定效应分布滞后模型以及局部标准化的复合干热持续性指标。白天平均地表温度范围为库里格拉姆的27.93°C至杰拉伊纳瓦布甘杰的31.38°C。经错误发现率校正后，没有任何地区表现出显著的白天地表温度趋势，而所有地区的NDVI均显著增加。分布滞后模型显示，同期10 mm降雨与白天地表温度降低0.164°C相关（95% CI：−0.224至−0.103°C），而前8—16天的降雨效应较弱（每10 mm降低0.093°C）。16—24天的降雨效应不显著。降雨敏感性在各地区间差异显著，从拉杰沙希的每10 mm降低0.538°C到拉尔莫尼哈德的每10 mm降低0.123°C不等。这些发现表明，卫星反演的水热响应具有空间异质性，并凸显了多传感器地球观测框架在识别特定地点气候适应优先事项方面的价值。",null,"American Journal of Remote Sensing","2026-09-28T00:00:00Z","论文",10,false,69,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":22},8,22,18,13,1,"基于25年多源遥感数据揭示孟加拉国西北部降水—地表温度耦合与干热复合持续性，方法扎实、结论具体，但属区域气候研究，对国内三农领域参考价值有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"农业气象","气候适应","遥感监测","干旱热浪","作物植被",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"needs_review","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":14,"reason":57},[38,45,52],{"code":39,"score":40,"supported":41,"title":42,"abstract":43,"tags":44},"H7",5,true,[],[27],[26,27],{"code":46,"score":47,"supported":41,"title":48,"abstract":49,"tags":51},"H3",3,[],[50],"水资源",[],{"code":53,"score":21,"supported":14,"title":54,"abstract":55,"tags":56},"I3",[],[],[28],"农业相关性需要复核",[59,60],"孟加拉国 西北部 遥感 干旱","MODIS CHIRPS 地表温度 降水","孟加拉国西北部遥感干旱-3852","10.11648\u002Fj.ajrs.20261402.17",{"doi":62,"openalex_id":64,"authors":65,"venue":10,"cited_by_count":77,"oa_url":78,"card":79,"direction":83,"ingested_from":85},"W7214647936",[66,68,71,74],{"name":67,"orcid":9},"Nafia Muntakim",{"name":69,"orcid":70},"Md. Imran Hossain","https:\u002F\u002Forcid.org\u002F0009-0004-6856-9276",{"name":72,"orcid":73},"Zihad Ahmed","https:\u002F\u002Forcid.org\u002F0000-0002-5657-6258",{"name":75,"orcid":76},"Md. Mizanoor Rahman","https:\u002F\u002Forcid.org\u002F0000-0002-2049-9246",0,"http:\u002F\u002Farticle.sciencepg.com\u002Fpdf\u002Fj.ajrs.20261402.17",{"tldr":80,"method":81,"finding":82,"direction":83,"opportunity":84},"基于25年多源遥感数据，量化孟加拉国西北部季风前降雨与地表温度的耦合及干热复合持续性。","MODIS地表温度与植被指数、CHIRPS降水，结合趋势检验、分布滞后模型和复合","降雨与地表温度呈负相关且空间异质，无显著升温趋势但NDVI普遍增加，干热复合持续存在。","农业遥感与作物表型","可结合作物物候与灌溉数据，探究降雨-温度耦合对农业干旱风险的滞后影响及适应策略。","openalex","2026-09-30T23:30:32.426070Z",{"total":88,"page":21,"page_size":88,"items":89},6,[90,156,224,302,363,435],{"id":91,"title":92,"url":93,"summary":94,"summary_zh":95,"content":9,"source_name":96,"source_url":93,"published_at":97,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":98,"score_detail":99,"sources":102,"tags":104,"primary_topic":9,"secondary_topics":107,"classification":108,"search_phrases":124,"slug":127,"view_count":128,"doi":129,"paper":130,"created_at":155},4229,"Spatiotemporal characteristics of vegetation responses to compound drought and heatwave events in Central Asia","https:\u002F\u002Fdoi.org\u002F10.1080\u002F15481603.2026.2741443","With climate warming intensifying, compound drought and heatwave (CDHW) events have become more frequent and intense in arid Central Asia, severely affecting vegetation growth. However, systematic quantitative assessments of vegetation responses and their drivers under such compound extremes remain limited. Using meteorological and remote sensing data, we identified growing-season CDHW events across Central Asia from 1982 to 2023. Integrating the Kernel normalized difference vegetation index (KNDVI) and the long-term continuous SIF-informed photosynthesis proxy (LCSPP), we established a vegetation response indicator system including total loss (LOSStot), maximum decline (DECmax), and time to decline (TIMEdec) to characterize vegetation damage. We further applied the XGBoost model and SHAP analysis to quantify the environmental driving effects and interactions. The results indicate that CDHW events increased significantly during 1982–2023, with heatwave frequency rising at 0.38 days yr−1 and an abrupt shift around 1996. High-frequency CDHW events were primarily concentrated in north-central Kazakhstan and northern Xinjiang, China, while their frequency and duration generally increased with latitude, indicating a pronounced northward enhancement pattern. CDHW caused larger vegetation losses than individual drought or heatwave events. Event duration was the most important environmental variable of LOSStot, with the highest mean SHAP value (0.140), while precipitation anomalies during events showed a strong association with rapid vegetation decline, with a direct path coefficient of 0.333 for DECmax. This study clarifies vegetation loss characteristics and key contributing factors under compound extremes in Central Asia, providing a scientific basis for ecological risk assessment and climate adaptation in arid regions.","随着气候变暖加剧，中亚干旱区复合干旱与热浪（CDHW）事件日趋频繁和强烈，严重影响了植被生长。然而，针对此类复合极端事件下植被响应及其驱动因素的系统性定量评估仍较为有限。本研究利用气象和遥感数据，识别了1982—2023年中亚生长季CDHW事件。通过整合核归一化植被指数（KNDVI）和长期连续SIF光合代理指标（LCSPP），构建了包含总损失（LOSStot）、最大下降幅度（DECmax）和下降时间（TIMEdec）的植被响应指标体系，以表征植被受损程度。进一步应用XGBoost模型和SHAP分析，量化了环境驱动效应及其交互作用。结果表明，1982—2023年间CDHW事件显著增加，热浪频率以0.38天\u002F年的速率上升，并在1996年前后发生突变。高频CDHW事件主要集中在哈萨克斯坦中北部和中国新疆北部，其频率和持续时间总体随纬度增加而增大，呈现出明显的向北增强格局。CDHW造成的植被损失大于单一干旱或热浪事件。事件持续时间是LOSStot最重要的环境变量，其平均SHAP值最高（0.140），而事件期间的降水异常与植被快速下降密切相关，其对DECmax的直接路径系数为0.333。本研究阐明了中亚复合极端事件下植被损失特征及关键影响因素，为干旱区生态风险评估和气候适应提供了科学依据。","GIScience & Remote Sensing","2026-10-04T00:00:00Z",80,{"impact":19,"substance":18,"depth":19,"authority":100,"freshness":17,"relevant":21,"comment":101},14,"基于1982—2023年遥感与气象数据量化中亚复合干旱热浪对植被的影响，方法新颖、结论可靠，对干旱区生态风险评估有参考价值。",[103],{"name":96,"url":93},[27,28,105,29,106],"中亚农业","植被响应",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":109},{"candidates":110,"agricultural_evidence":14,"reason":57},[111,117],{"code":39,"score":19,"supported":41,"title":112,"abstract":114,"tags":116},[113],"drought",[27,115,113],"干旱",[27],{"code":53,"score":118,"supported":41,"title":119,"abstract":120,"tags":123},7,[],[121,122],"遥感","remote sensing",[28],[125,126],"中亚 复合干旱热浪 植被","KNDVI 植被损失 遥感","中亚复合干旱热浪植被-4229",2,"10.1080\u002F15481603.2026.2741443",{"doi":129,"openalex_id":131,"authors":132,"venue":96,"cited_by_count":77,"oa_url":149,"card":150,"direction":83,"ingested_from":85},"W7219762973",[133,135,138,140,142,144,146],{"name":134,"orcid":9},"Manfeng Ding",{"name":136,"orcid":137},"Renping Zhang","https:\u002F\u002Forcid.org\u002F0009-0003-6271-2775",{"name":139,"orcid":9},"Jing Guo",{"name":141,"orcid":9},"Li Li",{"name":143,"orcid":9},"Feifei Niu",{"name":145,"orcid":9},"Yansong Li",{"name":147,"orcid":148},"Jinlong Gao","https:\u002F\u002Forcid.org\u002F0000-0003-1188-8271","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Fpdf\u002F10.1080\u002F15481603.2026.2741443?needAccess=true",{"tldr":151,"method":152,"finding":153,"direction":83,"opportunity":154},"量化中亚1982-2023年复合干旱热浪对植被的时空影响及驱动因素。","用KNDVI与SIF代理构建响应指标，结合XGBoost和SHAP分析。","复合事件致植被损失大于单一事件，事件时长最关键，降水异常驱动快速衰退。","可拓展至不同干旱区作物类型，构建复合极端事件植被风险预警模型。","2026-10-05T23:30:24.935545Z",{"id":157,"title":158,"url":159,"summary":160,"summary_zh":161,"content":9,"source_name":162,"source_url":159,"published_at":163,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":164,"score_detail":165,"sources":170,"tags":172,"primary_topic":176,"secondary_topics":181,"classification":182,"search_phrases":205,"slug":208,"view_count":21,"doi":209,"paper":210,"created_at":223},5087,"Method for ten-day assessment of the contribution of agrometeorological conditions to expected winter grain crop productivity based on satellite and ground-based information","https:\u002F\u002Fdoi.org\u002F10.37162\u002F2618-9631-2026-3-167-183","The paper presents a developed and tested method for 10-day assessment of the contribution of agrometeorological factors to winter grain crop productivity. The method is based on an integrated analysis of satellite spectral indices and ground-based meteorological data for the North Caucasus, Volga and Central Black Earth regions. Satellite data from MODIS (Terra satellite) and VIIRS (SUOMI NPP satellite) radiometers were used to calculate the NDVI, VCI, and VCNI vegetation indices. Ground-based information includes meteorological and agrometeorological indicators reflecting temperature and humidity conditions. The algorithm and software modules developed within the study allow for automated tracking of 10-day changes in agrometeorological conditions and quantitative ranking of factors based on their contribution to the expected winter grain crop yield, providing an information basis for informed planning of agricultural measures.","本文提出并验证了一种用于每旬评估农业气象因素对冬粮作物生产力贡献的方法。该方法基于对北高加索、伏尔加河沿岸和中央黑土区卫星光谱指数与地面气象数据的综合分析。利用MODIS（Terra卫星）和VIIRS（SUOMI NPP卫星）辐射计的卫星数据计算NDVI、VCI和VCNI植被指数。地面信息包括反映温湿状况的气象和农业气象指标。研究开发的算法和软件模块能够自动跟踪农业气象条件的每旬变化，并根据各因素对预期冬粮作物产量的贡献进行定量排序，为农业措施的合理规划提供信息依据。","Hydrometeorological research and forecasting","2026-10-15T00:00:00Z",70,{"impact":166,"substance":167,"depth":168,"authority":20,"freshness":17,"relevant":21,"comment":169},12,20,17,"方法新颖、数据扎实的区域性遥感估产研究，对农业信息化有参考价值，但属细分领域学术成果，公共影响有限。",[171],{"name":162,"url":159},[173,26,28,174,175],"智慧农业","冬小麦","作物估产",{"code":39,"slug":177,"name":178,"path":179,"parent_code":180},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":183,"locked":14,"version":34,"method":35,"evidence":184},"classified",{"candidates":185,"agricultural_evidence":41},[186,191,195,200],{"code":39,"score":187,"supported":41,"title":188,"abstract":189,"tags":190},4,[],[26],[26],{"code":53,"score":128,"supported":14,"title":192,"abstract":193,"tags":194},[],[],[175,28],{"code":196,"score":21,"supported":14,"title":197,"abstract":198,"tags":199},"A2",[],[],[174],{"code":201,"score":21,"supported":14,"title":202,"abstract":203,"tags":204},"I1",[],[],[173],[206,207],"MODIS VIIRS 冬小麦 遥感估产","农业气象 冬谷类作物 产量评估","MODISVIIRS冬小麦遥感估产-5087","10.37162\u002F2618-9631-2026-3-167-183",{"doi":209,"openalex_id":211,"authors":212,"venue":162,"cited_by_count":77,"oa_url":159,"card":218,"direction":83,"ingested_from":85},"W7221991562",[213,216],{"name":214,"orcid":215},"A. D. Kleshchenko","https:\u002F\u002Forcid.org\u002F0000-0002-4200-6668",{"name":217,"orcid":9},"O. V. Savitskaya",{"tldr":219,"method":220,"finding":221,"direction":83,"opportunity":222},"提出一种基于卫星与地面数据每十天评估农业气象因子对冬粮作物产量贡献的方法。","用MODIS和VIIRS计算NDVI、VCI、VCNI，结合气象与农业气象指标做","可自动追踪十天农业气象变化并量化排序各因子对预期产量的贡献。","可扩展至多作物多区域，融合机器学习提升因子贡献动态预测精度。","2026-10-16T23:30:26.817010Z",{"id":225,"title":226,"url":227,"summary":228,"summary_zh":229,"content":9,"source_name":230,"source_url":227,"published_at":231,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":232,"score_detail":233,"sources":235,"tags":237,"primary_topic":9,"secondary_topics":241,"classification":242,"search_phrases":258,"slug":261,"view_count":77,"doi":262,"paper":263,"created_at":301},4829,"Snowpack Temperature Profiler: A Novel Approach to Measuring Snow Temperature and Cold Content During Snow Surveys","https:\u002F\u002Fdoi.org\u002F10.22541\u002Fauthorea.15010208\u002Fv1","Snowpack temperature and cold content control the timing of snowmelt, yet they remain among the least validated variables in operational snow water supply forecasting models. Unlike snow water equivalent, which is supported by extensive observational networks, snowpack temperature has been difficult to measure at scale. Traditional snow pits are labor-intensive and time-consuming, and continuous in-situ attempts have faced persistent challenges that have largely confined them to research settings. Here we introduce a novel approach. The Snowpack Temperature Profiler (STP) is a compact, low-power infrared temperature sensor designed to be lowered into the hole left by a Federal snow sampler, which enables quick snowpack temperature measurement without excavating a pit. We validated the STP against 62 co-located snow pit temperature profiles across maritime, continental, and intermountain snow climates over three winters (2023–2026). Average snowpack temperature measurements from the STP were highly correlated with snow pit observations (R2 of 0.91) and had low bias (-0.01 ý C), with similar results for cold content values derived from STP and snow pit observations (R2 = 0.92; -0.02 MJ m*2). These results show an upper bound on STP uncertainty rather than a direct measurement of it, as the reference sensor used for validation had an absolute accuracy of ,0.5 ý C. The STP offers a scalable method for collecting snowpack temperature that, if leveraged at snow courses across the United States and Canada, has the potential to collect 3,500 snow temperature profiles annually. Incorporating this observational data into existing operational models to constrain cold content values has the potential to improve snowmelt timing and runoff forecasts, and would additionally provide an important estimate of the potential for the presence of liquid water, which is critical for radar remote sensing retrievals.","雪包温度与冷含量控制着融雪发生的时间，但它们仍是业务化雪水供应预报模型中验证最不充分的变量之一。与拥有广泛观测网络支持的雪水当量不同，雪包温度一直难以在大尺度上测量。传统雪坑方法劳动强度大且耗时，而连续原位测量尝试则面临长期存在的挑战，使其大多局限于研究环境。在此，我们介绍一种新方法。雪包温度剖面仪（Snowpack Temperature Profiler, STP）是一种紧凑、低功耗的红外温度传感器，设计用于放入联邦雪采样器留下的孔洞中，从而无需挖掘雪坑即可快速测量雪包温度。我们在三个冬季（2023—2026年）中，针对海洋性、大陆性和山间雪气候区的62个同址雪坑温度剖面，对STP进行了验证。STP测得的平均雪包温度与雪坑观测高度相关（R²为0.91），偏差较低（-0.01 °C），由STP和雪坑观测得出的冷含量值结果相似（R² = 0.92；-0.02 MJ m⁻²）。这些结果反映的是STP不确定性的上界，而非对其不确定性的直接测量，因为用于验证的参考传感器绝对精度为±0.5 °C。STP提供了一种可扩展的雪包温度采集方法，若在美国和加拿大的各雪道加以利用，有潜力每年采集3500个雪温剖面。将该观测数据纳入现有业务化模型以约束冷含量值，有潜力改进融雪时间和径流预报，并且还将提供对液态水存在可能性的重要估计，这对雷达遥感反演至关重要。","OpenAlex","2026-10-11T00:00:00Z",78,{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":118,"relevant":21,"comment":234},"提出可随雪样器快速测量雪温剖面的红外传感器方案，验证数据扎实，对融雪径流预报与雷达遥感有实用价值。",[236],{"name":230,"url":227},[26,238,28,239,240],"传感器","水文预报","积雪温度",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":243},{"candidates":244,"agricultural_evidence":14,"reason":57},[245,249,253],{"code":53,"score":118,"supported":41,"title":246,"abstract":247,"tags":248},[],[121,122],[28],{"code":39,"score":21,"supported":14,"title":250,"abstract":251,"tags":252},[],[],[26],{"code":254,"score":21,"supported":14,"title":255,"abstract":256,"tags":257},"I5",[],[],[238],[259,260],"积雪温度 冷含量 测量","农业气象 水文预报 积雪温度 遥感监测","积雪温度冷含量测量-4829","10.22541\u002Fauthorea.15010208\u002Fv1",{"doi":262,"openalex_id":264,"authors":265,"venue":9,"cited_by_count":77,"oa_url":295,"card":296,"direction":83,"ingested_from":85},"W7221461714",[266,269,271,273,275,277,279,282,284,286,289,291,293],{"name":267,"orcid":268},"Anne Heggli","https:\u002F\u002Forcid.org\u002F0000-0002-3207-6953",{"name":270,"orcid":9},"Bjoern Bingham",{"name":272,"orcid":9},"Daniel McEvoy",{"name":274,"orcid":9},"Rich Moran",{"name":276,"orcid":9},"Lucas Zukiewicz",{"name":278,"orcid":9},"Daniel McGrath",{"name":280,"orcid":281},"Wyatt Reis","https:\u002F\u002Forcid.org\u002F0000-0002-2801-5357",{"name":283,"orcid":9},"Rosemary Carroll",{"name":285,"orcid":9},"H.P. Marshall",{"name":287,"orcid":288},"Christine M. Albano","https:\u002F\u002Forcid.org\u002F0000-0003-1610-6961",{"name":290,"orcid":9},"Joseph Ammatelli",{"name":292,"orcid":9},"Andrew Schwartz",{"name":294,"orcid":9},"D. Gochis","https:\u002F\u002Fwww.authorea.com\u002Fdoi\u002Fpdf\u002F10.22541\u002Fauthorea.15010208\u002Fv1",{"tldr":297,"method":298,"finding":299,"direction":83,"opportunity":300},"提出雪包温度剖面仪，用红外传感器快速测量雪温与冷含量，验证精度高。","红外温度传感器降入雪采样孔，对比62个雪坑剖面，三个冬季多气候验证。","STP与雪坑温度高度相关（R²=0.91），冷含量R²=0.92，可规模化采集。","将雪温观测同化进水文模型以改进融雪径流预报，并支撑雷达遥感液态水反演。","2026-10-13T23:30:25.274222Z",{"id":303,"title":304,"url":305,"summary":306,"summary_zh":307,"content":9,"source_name":308,"source_url":305,"published_at":309,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":310,"score_detail":311,"sources":314,"tags":316,"primary_topic":320,"secondary_topics":321,"classification":322,"search_phrases":342,"slug":345,"view_count":128,"doi":346,"paper":347,"created_at":362},4593,"Climate Resilience and the Hydro-Vegetal Paradox in El Bayadh Province (Algeria, 1984-2023)","https:\u002F\u002Fdoi.org\u002F10.56093\u002Faaz.v65i3.177509","The decade 2010 to 2020 was the warmest ever recorded in the Mediterranean basin (+1.5°C), exceeding the global average. North Africa, identified as a vulnerability hotspot by the IPCC AR6, experiences intensified droughts and ecosystem degradation. This study presents the first quantitative assessment of climate resilience in El Bayadh Province (Algeria), revealing an unexpected hydro-vegetal paradox. A comparative multi-index methodology (restricted climate index vs. global index integrating 7 variables) was applied to 22 municipalities over the period of 1984 to 2023. The results showed a universal degradation of water balance (-8.2 to -21.4 mm yr-1) and widespread warming (+0.8 to +2.1°C decade-1). Paradoxically, 73 to 77% of municipalities showed improvement in vegetation indices (NDVI, SAVI), suggesting ecological adaptation. Principal component analysis (PCA-99%) variance explained) identified water stress as the main differentiating factor, and clustering distinguishes 5 territorial profiles (silhouette = 0.521). The global index proves more discriminant than the restricted index for capturing the complexity of socio-ecological dynamics. This study highlights the need for differentiated adaptation policies addressing challenges related to water, food security, and migration.","2010年至2020年是有记录以来地中海盆地最暖的十年（升温+1.5°C），超过了全球平均水平。北非被IPCC第六次评估报告（AR6）确定为脆弱性热点地区，正经历着加剧的干旱和生态系统退化。本研究首次对阿尔及利亚埃尔贝伊德省（El Bayadh Province）的气候韧性进行了定量评估，揭示了一个意想不到的水文-植被悖论。研究采用比较多指标方法（限制性气候指数与整合7个变量的全局指数），对22个市镇在1984年至2023年期间进行了分析。结果表明，水平衡普遍退化（-8.2至-21.4 mm yr⁻¹），且普遍升温（+0.8至+2.1°C decade⁻¹）。悖论的是，73%至77%的市镇植被指数（NDVI、SAVI）有所改善，表明存在生态适应。主成分分析（PCA，方差解释率达99%）确定水分胁迫为主要区分因子，聚类分析区分出5种地域类型（轮廓系数=0.521）。在捕捉社会-生态动态复杂性方面，全局指数比限制性指数更具判别力。本研究强调了制定差异化适应政策的必要性，以应对与水、粮食安全和移民相关的挑战。","Annals of Arid Zone","2026-10-08T00:00:00Z",74,{"impact":166,"substance":18,"depth":19,"authority":20,"freshness":312,"relevant":21,"comment":313},9,"基于22个市镇40年多指标遥感数据的干旱区气候韧性定量研究，方法新颖、结论有反差价值，但属区域案例研究，公共影响层级有限。",[315],{"name":308,"url":305},[317,27,28,318,319],"NDVI","干旱区农业","水资源安全",{"code":39,"slug":177,"name":178,"path":179,"parent_code":180},[],{"status":183,"locked":14,"version":34,"method":35,"evidence":323},{"candidates":324,"agricultural_evidence":41},[325,331,338],{"code":39,"score":326,"supported":41,"title":327,"abstract":329,"tags":330},16,[328],"climate resilience",[115,328],[318,27],{"code":332,"score":88,"supported":41,"title":333,"abstract":334,"tags":337},"A8",[],[335,336],"粮食安全","food security",[],{"code":53,"score":128,"supported":14,"title":339,"abstract":340,"tags":341},[],[],[317,28],[343,344],"El Bayadh 阿尔及利亚 气候韧性","NDVI 植被指数 干旱区","ElBayadh阿尔及利亚气候韧性-4593","10.56093\u002Faaz.v65i3.177509",{"doi":346,"openalex_id":348,"authors":349,"venue":308,"cited_by_count":77,"oa_url":356,"card":357,"direction":83,"ingested_from":85},"W7220949140",[350,353],{"name":351,"orcid":352},"Lakhdar Guérine","https:\u002F\u002Forcid.org\u002F0000-0003-0836-2703",{"name":354,"orcid":355},"Naîmi Bendouina","https:\u002F\u002Forcid.org\u002F0000-0002-9776-1660","http:\u002F\u002Fepubs.icar.org.in\u002Findex.php\u002FAAZ\u002Farticle\u002Fdownload\u002F177509\u002F68050",{"tldr":358,"method":359,"finding":360,"direction":83,"opportunity":361},"首次量化阿尔及利亚El Bayadh省1984-2023年气候韧性，揭示水-植被悖论。","多指标对比法（限制性气候指数与7变量全球指数），对22个市镇做PCA和聚类。","水均衡普遍恶化、升温显著，但73-77%市镇植被指数改善，呈生态适应悖论。","可探究干旱区NDVI改善的驱动机制（灌溉、物种更替或遥感尺度效应），并耦合社会经济数据。","2026-10-10T23:30:29.597640Z",{"id":364,"title":365,"url":366,"summary":367,"summary_zh":368,"content":9,"source_name":369,"source_url":366,"published_at":370,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":371,"score_detail":372,"sources":374,"tags":376,"primary_topic":380,"secondary_topics":381,"classification":382,"search_phrases":411,"slug":414,"view_count":21,"doi":415,"paper":416,"created_at":434},4560,"Assessment of Flood Impacts, Losses and Adaptation Practices in Bhajani Municipality, Kailali District, Nepal","https:\u002F\u002Fdoi.org\u002F10.3126\u002Futjliast.v2i3.101085","Floods are the most frequent and damaging hydro-meteorological hazard in the Terai region of Nepal, yet municipal-scale evidence that links hazard mapping, community perception, historical losses and local adaptation remains scarce. This study assesses flood impacts, losses, and adaptation practices in Bhajani Municipality, Kailali District, Sudurpashchim Province, a low-lying municipality with nine wards (176.25 km²) and crossed by the Mohana, Kandra, Kanda (Kadha), and Patharaiya rivers. A mixed-methods design combined a questionnaire survey of 156 respondents (Slovin’s formula, e = 8%), focus group discussions, in-depth interviews, field observation and desk review of the Local Disaster and Climate Resilience Plan (LDCRP). The Relative Importance Index (RII) was used to rank 16 flood-related problems, their causes and effects, and 12 adaptation measures rated on a five-point Likert scale; 64 Chi-square tests of independence examined whether perceptions differ by gender, age, occupation and education, and a GIS-based Weighted Multi-Criteria Decision Analysis (WMCDA) using distance from rivers (30%), Topographic Wetness Index (25%), slope (25%) and Height Above Nearest Drainage (20%) produced a flood hazard map. Wards 3, 5, 7 and 8 were classified as very high flood-risk areas, wards 6 and 9 as high, wards 1 and 2 as moderate and ward 4 as low–moderate; 85 settlements and hamlets are potentially exposed. Sixteen flood events recorded in municipal and community records affected 5,140 households, displaced 598 households, destroyed 188 houses, damaged about 1,695 bighas of cultivable land, caused an estimated loss of NPR 702.4 million and claimed 10 lives. Agriculture damage (RII = 0.863) and livestock damage (0.846) ranked as the most important problems. Non-compliance with flood-resistant building standards (0.914), waterlogging from slow runoff (0.891), insufficient investment in early warning systems (0.854) and weak institutional capacity (0.854) were the leading perceived causes, while displacement of local communities (0.905) and high livestock mortality (0.862) were leading effects. Perceptions were largely homogeneous: 62 of 64 tests (96.9%) showed no demographic association, with age linked only to views on public awareness and physical infrastructure. Strengthening river management and flood-control infrastructure (0.803) was the highest-rated adaptation measure, followed by climate-smart agriculture (0.760). A case study contrasts the slow-onset, long-duration Kandra floods with the rapid, short-warning Kadha flash floods. Flood risk in Bhajani is multidimensional, combining physical exposure, socio-economic vulnerability, infrastructure deficiencies, institutional weaknesses and climatic variability. Ward-prioritized embankment and drainage works, community-based early warning, enforcement of flood-resilient construction, climate-smart agriculture and ecosystem-based watershed management are recommended.","洪水是尼泊尔特莱地区最频繁且破坏性最强的水文气象灾害，然而，将灾害制图、社区感知、历史损失与地方适应相联系的市镇尺度证据仍然匮乏。本研究评估了苏杜尔帕希姆省凯拉利县巴贾尼市的洪水影响、损失与适应实践。该市地势低洼，下辖9个区（176.25平方公里），莫哈纳河、坎德拉河、坎达河（卡达河）和帕塔拉伊亚河穿境而过。研究采用混合方法设计，结合了156名受访者的问卷调查（Slovin公式，e = 8%）、焦点小组讨论、深度访谈、实地观察以及对《地方灾害与气候韧性计划》（LDCRP）的案头审查。采用相对重要性指数（RII）对16项洪水相关问题及其成因与影响、以及12项适应措施进行排序，评分采用五点李克特量表；通过64项卡方独立性检验考察感知是否因性别、年龄、职业和教育程度而异；并运用基于GIS的加权多准则决策分析（WMCDA），以距河流距离（30%）、地形湿度指数（25%）、坡度（25%）和距最近排水沟高度（20%）为因子，生成了洪水灾害图。第3、5、7和8区被划为极高洪水风险区，第6和9区为高风险区，第1和2区为中等风险区，第4区为低至中等风险区；85个居民点和村落可能受到影响。市镇和社区记录中记载的16次洪水事件共影响5，140户家庭，使598户家庭流离失所，摧毁188栋房屋，损坏约1，695比加耕地，造成约7.024亿尼泊尔卢比的估计损失，并导致10人丧生。农业损失（RII = 0.863）和牲畜损失（0.846）被列为最重要的问题。不遵守抗洪建筑标准（0.914）、径流缓慢导致的内涝（0.891）、预警系统投资不足（0.854）和机构能力薄弱（0.854）是主要的感知成因，而当地社区流离失所（0.905）和高牲畜死亡率（0.862）是主要影响。感知在很大程度上具有同质性：64项检验中有62项（96.9%）未显示人口统计学关联，年龄仅与对公众意识和物质基础设施的看法相关。加强河流管理和防洪基础设施（0.803）是评分最高的适应措施，其次是气候智慧型农业（0.760）。一项案例研究对比了缓发性","Universal Technical Journal of Lumbini International Academy of Science and Technology","2026-10-09T00:00:00Z",61,{"impact":17,"substance":18,"depth":168,"authority":88,"freshness":17,"relevant":21,"comment":373},"尼泊尔市级洪水风险与农业损失实证研究，方法扎实数据翔实，但属境外地方案例，对国内三农信息化参考价值有限。",[375],{"name":369,"url":366},[27,28,377,378,379],"洪水风险","尼泊尔","农业减灾",{"code":39,"slug":177,"name":178,"path":179,"parent_code":180},[],{"status":183,"locked":14,"version":34,"method":35,"evidence":383},{"candidates":384,"agricultural_evidence":41},[385,390,396,401,407],{"code":39,"score":17,"supported":41,"title":386,"abstract":387,"tags":389},[],[328,388],"waterlogging",[27,377],{"code":391,"score":47,"supported":41,"title":392,"abstract":393,"tags":395},"C",[],[394],"livestock",[],{"code":201,"score":47,"supported":41,"title":397,"abstract":398,"tags":400},[],[399],"smart agriculture",[],{"code":402,"score":47,"supported":41,"title":403,"abstract":404,"tags":406},"I4",[],[405],"GIS",[],{"code":53,"score":21,"supported":14,"title":408,"abstract":409,"tags":410},[],[],[28],[412,413],"Bhajani Municipality 洪水风险","Kailali 农业损失 适应","BhajaniMunicipality洪水风险-4560","10.3126\u002Futjliast.v2i3.101085",{"doi":415,"openalex_id":417,"authors":418,"venue":369,"cited_by_count":77,"oa_url":366,"card":427,"direction":433,"ingested_from":85},"W7221076000",[419,421,423,425],{"name":420,"orcid":9},"Anesh Shrestha",{"name":422,"orcid":9},"Khet Raj Dahal",{"name":424,"orcid":9},"Sujeet Dhakal",{"name":426,"orcid":9},"Sagar Sedhain",{"tldr":428,"method":429,"finding":430,"direction":431,"opportunity":432},"评估尼泊尔Bhajani市洪水影响、损失与适应实践，并绘制洪水风险图。","混合方法：156份问卷、RII排序、卡方检验与GIS加权多准则决策分析。","第3、5、7、8区为极高风险；农业与牲畜损失最重，河流管理是最受认可的适应措施。","农业绿色发展与碳","可延伸至社区感知与GIS风险图耦合的适应策略优化，及气候智慧型农业的落地评估。","智慧农业 \u002F 农业物联网","2026-10-10T23:30:07.730161Z",{"id":436,"title":437,"url":438,"summary":439,"summary_zh":440,"content":9,"source_name":441,"source_url":438,"published_at":309,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":442,"score_detail":443,"sources":445,"tags":447,"primary_topic":450,"secondary_topics":451,"classification":461,"search_phrases":489,"slug":492,"view_count":21,"doi":493,"paper":494,"created_at":508},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",75,{"impact":166,"substance":18,"depth":19,"authority":100,"freshness":312,"relevant":21,"comment":444},"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。",[446],{"name":441,"url":438},[335,26,28,448,449],"西非农业","干旱指数",{"code":39,"slug":177,"name":178,"path":179,"parent_code":180},[452,457],{"code":53,"slug":453,"name":454,"path":455,"parent_code":456},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"code":46,"slug":458,"name":459,"path":460,"parent_code":180},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":183,"locked":14,"version":34,"method":35,"evidence":462},{"candidates":463,"agricultural_evidence":41},[464,468,473,478,485],{"code":39,"score":326,"supported":41,"title":465,"abstract":466,"tags":467},[113],[115,113],[26,449],{"code":53,"score":469,"supported":41,"title":470,"abstract":471,"tags":472},15,[122],[121,122],[28],{"code":46,"score":100,"supported":41,"title":474,"abstract":476,"tags":477},[475],"evapotranspiration",[50,475],[],{"code":479,"score":88,"supported":41,"title":480,"abstract":481,"tags":484},"H2",[],[482,483],"土壤","soil",[],{"code":332,"score":21,"supported":14,"title":486,"abstract":487,"tags":488},[],[],[335],[490,491],"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":493,"openalex_id":495,"authors":496,"venue":441,"cited_by_count":77,"oa_url":438,"card":503,"direction":83,"ingested_from":85},"W7220963372",[497,500],{"name":498,"orcid":499},"Abdoul-Aziz Bio Sidi D. Bouko","https:\u002F\u002Forcid.org\u002F0009-0003-1179-8046",{"name":501,"orcid":502},"Bing Gao","https:\u002F\u002Forcid.org\u002F0000-0003-0782-8858",{"tldr":504,"method":505,"finding":506,"direction":83,"opportunity":507},"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"]