[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5004":3,"related-5004":110},{"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":39,"search_phrases":74,"slug":77,"view_count":22,"doi":78,"paper":79,"created_at":109},5004,"Welfare effects of behavioral responses to basis risk in remote-sensing livestock insurance in northern Kenya","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffrevc.2026.1750935","Introduction Livestock production in northern Kenya's arid and semi-arid rangelands is increasingly vulnerable to climate variability. The Index-Based Livestock Insurance (IBLI) program was introduced to mitigate drought-related losses by linking payouts to satellitederived Normalized Difference Vegetation Index (NDVI) thresholds. However, IBLI's efficacy may be hampered by basis risk -the discrepancy between actual losses and insurance payouts. This study examines how downside basis risk (losses without indemnity) is associated with pastoralist welfare and household consumption responses. Methods Using data from the IBLI program (2019-2021) across eight Kenyan counties (Garissa, Isiolo, Mandera, Marsabit, Samburu, Tana River, Turkana, and Wajir), this study employs a two-stage empirical approach. First, quantile regression assesses the relationship between precipitation and forage availability. Second, a modified variance-of-error model quantifies the magnitude of basis risk. Results The analysis reveals persistent downside basis risk across all counties and years, suggesting that households frequently incur losses without receiving insurance compensation. The findings demonstrate that repeated exposure to downside basis risk is associated with changes in pastoralists' consumption, which may ultimately lead to welfare losses. Discussion While IBLI is designed to stabilize consumption, persistent downside basis risk undermines its welfare benefits and may erode trust in the insurance mechanism. To strengthen IBLI's potential to deliver sustainable welfare outcomes for pastoralist communities, future policy interventions must enhance index precision, revise subsidy structures, and incorporate behavioral considerations into program design.","引言 肯尼亚北部干旱和半干旱牧区的畜牧业生产日益受到气候变率的威胁。基于指数的牲畜保险（Index-Based Livestock Insurance, IBLI）项目通过将赔付与卫星反演的归一化植被指数（Normalized Difference Vegetation Index, NDVI）阈值挂钩，旨在缓解干旱相关损失。然而，IBLI的有效性可能受到基差风险（basis risk）的制约，即实际损失与保险赔付之间的偏差。本研究探讨下行基差风险（即遭受损失却未获赔付）与牧民福利及家庭消费反应之间的关联。方法 本研究利用IBLI项目（2019—2021年）在肯尼亚八个县（加里萨、伊西奥洛、曼德拉、马萨比特、桑布鲁、塔纳河、图尔卡纳和瓦吉尔）的数据，采用两阶段实证方法。首先，运用分位数回归评估降水量与饲草可得性之间的关系。其次，采用修正的误差方差模型量化基差风险的幅度。结果 分析显示，所有县和所有年份均存在持续的下行基差风险，表明家庭经常遭受损失却未获得保险赔偿。研究结果表明，反复暴露于下行基差风险与牧民消费变化相关，最终可能导致福利损失。讨论 尽管IBLI旨在稳定消费，但持续的下行基差风险削弱了其福利效益，并可能侵蚀对保险机制的信任。为增强IBLI为牧民社区带来可持续福利成果的潜力，未来的政策干预必须提高指数精度、修订补贴结构，并将行为因素纳入项目设计。",null,"Frontiers in Environmental Economics","2026-10-14T00:00:00Z","论文",10,false,77,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,22,18,13,8,1,"基于肯尼亚八县2019-2021年数据的实证研究，揭示遥感指数保险基差风险对牧民福利的侵蚀，方法扎实、结论有政策参考价值，但属境外区域研究，国内落地关联有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"NDVI","指数保险","气候风险","遥感保险","肯尼亚牧区",{"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",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":48},[45,54,61,69],{"code":46,"score":47,"supported":48,"title":49,"abstract":51,"tags":53},"C",14,true,[50],"livestock",[52,50],"畜牧",[],{"code":33,"score":55,"supported":48,"title":56,"abstract":57,"tags":60},7,[],[58,59],"干旱","drought",[29],{"code":62,"score":63,"supported":48,"title":64,"abstract":65,"tags":68},"C4",6,[],[66,67],"饲草","forage",[],{"code":70,"score":22,"supported":14,"title":71,"abstract":72,"tags":73},"I3",[],[],[27],[75,76],"肯尼亚 指数保险 NDVI","遥感 牲畜保险 基差风险","肯尼亚指数保险NDVI-5004","10.3389\u002Ffrevc.2026.1750935",{"doi":78,"openalex_id":80,"authors":81,"venue":10,"cited_by_count":100,"oa_url":101,"card":102,"direction":106,"ingested_from":108},"W7221780299",[82,85,88,91,94,97],{"name":83,"orcid":84},"Simon Maina","https:\u002F\u002Forcid.org\u002F0009-0008-6340-3890",{"name":86,"orcid":87},"Maryfrances Miller","https:\u002F\u002Forcid.org\u002F0000-0002-5405-3592",{"name":89,"orcid":90},"Gregory L. Torell","https:\u002F\u002Forcid.org\u002F0000-0002-3561-3291",{"name":92,"orcid":93},"Niall P. Hanan","https:\u002F\u002Forcid.org\u002F0000-0002-9130-5306",{"name":95,"orcid":96},"Julius Y. Anchang","https:\u002F\u002Forcid.org\u002F0000-0002-7500-1708",{"name":98,"orcid":99},"Njoki Kahiu","https:\u002F\u002Forcid.org\u002F0000-0002-7416-947X",0,"https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fenvironmental-economics\u002Farticles\u002F10.3389\u002Ffrevc.2026.1750935\u002Fpdf",{"tldr":103,"method":104,"finding":105,"direction":106,"opportunity":107},"研究肯尼亚北部遥感指数保险的基差风险如何影响牧民福利与消费。","用2019-2021年八县数据，分位数回归与误差方差模型量化基差风险。","各县各年持续存在下行基差风险，导致牧民消费变化与福利损失，削弱保险信任。","农业遥感与作物表型","可探索融合多源遥感与行为数据改进指数精度，并设计含行为因素的保险机制。","openalex","2026-10-15T23:30:29.488616Z",{"total":63,"page":22,"page_size":63,"items":111},[112,173,233,291,370,426],{"id":113,"title":114,"url":115,"summary":116,"summary_zh":117,"content":9,"source_name":118,"source_url":115,"published_at":119,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":120,"score_detail":121,"sources":124,"tags":126,"primary_topic":131,"secondary_topics":132,"classification":133,"search_phrases":152,"slug":155,"view_count":22,"doi":156,"paper":157,"created_at":172},4756,"ديناميكيات وحساسية المناخ والغطاء النباتي في العراق باستخدام بيانات رصد الأرض طويلة الأمد","https:\u002F\u002Fdoi.org\u002F10.66026\u002Fy7543b35","تؤدي تغيرات المناخ إلى تكثيف الإجهاد الحراري والمائي عبر المناطق الجافة، مما يزيد من الحاجة إلى رصد متسق مكانياً وطويل الأمد لاستجابات الغطاء النباتي. العراق معرض بشكل خاص لهذه التغيرات لأن التدرجات المناخية القوية، والجفاف المتكرر، ومحدودية توافر المياه تتزامن مع مساحات شاسعة من الأراضي المطرية والمروية. قامت هذه الدراسة بتقييم ديناميكيات المناخ والغطاء النباتي في العراق من عام 2001 إلى 2025 باستخدام مؤشر الاختلاف الغطائي النباتي الطبيعي (MODIS NDVI)، وبيانات هطول الأمطار (CHIRPS)، وبيانات درجة حرارة الهواء على ارتفاع مترين (ERA5-Land). تم تحليل متوسط هطول الأمطار للفترة من أكتوبر إلى مايو، واتجاهات مؤشر (NDVI) للفترة من يناير إلى مايو، وارتباطات المناخ مع مؤشر (NDVI) بعد إزالة الاتجاه (detrended) على شبكة مشتركة بدقة 0.1 درجة.تم بعد ذلك تصنيف البكسلات النباتية على أنها: حساسة لهطول الأمطار، أو حساسة للحرارة، أو حساسة لكليهما، أو لا تظهر علاقة متوقعة قوية، أو تظهر اتجاهاً قوياً آخر. أظهر هطول الأمطار في الموسم الرطب تدرجاً واضحاً من إجماليات عالية جداً في شمال وشمال شرق العراق إلى إجماليات منخفضة ومنخفضة جداً عبر الغرب والجنوب الغربي والجنوب. كان الاخضرار ذو الدلالة الإحصائية أكثر انتشاراً بشكل ملحوظ من الاسمرار، حيث تركزت أقوى اتجاهات مؤشر (NDVI) الإيجابية في المناطق الزراعية في الشمال والشمال الشرقي والوسط. بعد إزالة الاتجاهات الخطية، كانت ارتباطات هطول الأمطار مع مؤشر (NDVI) إيجابية في الغالب وواسعة النطاق مكانياً، في حين كانت ارتباطات درجة الحرارة مع مؤشر (NDVI) ذات دلالة سلبية بشكل رئيسي ومركّزة في شمال وشرق وجنوب شرق العراق. هيمنت حساسية هطول الأمطار على التصنيف المتكامل، بينما شكلت الحساسية المزدوجة لهطول الأمطار والحرارة مجموعات متميزة في شمال-وسط وجنوب شرق البلاد. توفر هذه النتائج خط أساس مكانياً وطنياً لتحديد مناطق الغطاء النباتي المرتبطة بتقلبات المياه والحرارة بين السنوات. وتمثل فئات الحساسية ارتباطات إحصائية وليست عزوًا سببيًا.","气候变化正在加剧干旱地区的高温与水分胁迫，从而增加了对植被响应进行空间一致、长期监测的需求。伊拉克尤其容易受到这些变化的影响，因为强烈的气候梯度、频繁的干旱以及有限的水资源可用性，与大片雨养和灌溉土地并存。本研究利用MODIS归一化植被指数（NDVI）、降雨数据（CHIRPS）以及2米高度气温数据（ERA5-Land），评估了2001年至2025年伊拉克的气候与植被动态。研究在0.1度分辨率的统一网格上，分析了10月至5月的平均降雨量、1月至5月的NDVI趋势，以及去趋势（detrended）后气候与NDVI的相关性。随后将植被像元分类为：对降雨敏感、对温度敏感、对两者均敏感、未表现出强预期关系，或表现出其他强趋势。湿季降雨呈现出从伊拉克北部和东北部极高总量向西、西南和南部低及极低总量的明显梯度。具有统计显著性的绿化现象明显比褐化更为广泛，其中最强的NDVI正趋势集中在北部、东北部和中部的农业区。去除线性趋势后，降雨与NDVI的相关性大多为正且在空间上广泛分布，而温度与NDVI的相关性主要为显著负相关，集中在伊拉克北部、东部和东南部。降雨敏感性在综合分类中占主导地位，而降雨与温度的双重敏感性在该国中北部和东南部形成了独特的集群。这些结果为识别与年际水热波动相关的植被区域提供了全国尺度的空间基线。敏感性类别代表统计关联，而非因果归因。","Journal Of Babylon Center for Humanities Studies","2026-10-09T00:00:00Z",70,{"impact":122,"substance":18,"depth":19,"authority":122,"freshness":63,"relevant":22,"comment":123},12,"基于MODIS、CHIRPS与ERA5-Land长时序数据评估伊拉克气候与植被敏感性，方法规范、结论有区域参考价值，但属境外基础研究，公共影响有限。",[125],{"name":118,"url":115},[127,27,128,129,130],"气候变化","遥感监测","干旱区农业","植被覆盖",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":134},{"candidates":135,"agricultural_evidence":48},[136,140,147],{"code":33,"score":21,"supported":48,"title":137,"abstract":138,"tags":139},[],[127,58],[129,127],{"code":141,"score":63,"supported":48,"title":142,"abstract":143,"tags":146},"H3",[],[144,145],"灌溉","水资源",[],{"code":70,"score":148,"supported":14,"title":149,"abstract":150,"tags":151},3,[],[],[27,130,128],[153,154],"伊拉克 NDVI 植被动态","MODIS CHIRPS ERA5-Land 遥感","伊拉克NDVI植被动态-4756","10.66026\u002Fy7543b35",{"doi":156,"openalex_id":158,"authors":159,"venue":118,"cited_by_count":100,"oa_url":166,"card":167,"direction":106,"ingested_from":108},"W7221306668",[160,162,164],{"name":161,"orcid":9},"خولة‌ حمه‌رشید عمر",{"name":163,"orcid":9},"سایە دلاوەر محمد",{"name":165,"orcid":9},"Daban Kadhim Omar","https:\u002F\u002Fbcchj.uobabylon.edu.iq\u002Findex.php\u002Fbcchj\u002Farticle\u002Fdownload\u002F4819\u002F4866",{"tldr":168,"method":169,"finding":170,"direction":106,"opportunity":171},"基于2001–2025年MODIS NDVI、CHIRPS降水与ERA5-Land温度数据，评估伊拉","MODIS NDVI、CHIRPS降水、ERA5-Land温度，0.1°网格去趋","植被绿化趋势多于褐化，降水敏感性主导，温度负相关集中于北部、东部和东南部。","可结合灌溉与土地覆盖数据，区分雨养与灌溉区植被对水热胁迫的差异化响应机制。","2026-10-12T23:30:27.995466Z",{"id":174,"title":175,"url":176,"summary":177,"summary_zh":178,"content":9,"source_name":179,"source_url":176,"published_at":180,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":181,"score_detail":182,"sources":185,"tags":187,"primary_topic":190,"secondary_topics":191,"classification":192,"search_phrases":212,"slug":215,"view_count":208,"doi":216,"paper":217,"created_at":232},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":122,"substance":18,"depth":19,"authority":20,"freshness":183,"relevant":22,"comment":184},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。",[186],{"name":179,"url":176},[27,188,128,129,189],"气候适应","水资源安全",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":193},{"candidates":194,"agricultural_evidence":48},[195,200,207],{"code":33,"score":17,"supported":48,"title":196,"abstract":198,"tags":199},[197],"climate resilience",[58,197],[129,188],{"code":201,"score":63,"supported":48,"title":202,"abstract":203,"tags":206},"A8",[],[204,205],"粮食安全","food security",[],{"code":70,"score":208,"supported":14,"title":209,"abstract":210,"tags":211},2,[],[],[27,128],[213,214],"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":216,"openalex_id":218,"authors":219,"venue":179,"cited_by_count":100,"oa_url":226,"card":227,"direction":106,"ingested_from":108},"W7220949140",[220,223],{"name":221,"orcid":222},"Lakhdar Guérine","https:\u002F\u002Forcid.org\u002F0000-0003-0836-2703",{"name":224,"orcid":225},"Naîmi Bendouina","https:\u002F\u002Forcid.org\u002F0000-0002-9776-1660","http:\u002F\u002Fepubs.icar.org.in\u002Findex.php\u002FAAZ\u002Farticle\u002Fdownload\u002F177509\u002F68050",{"tldr":228,"method":229,"finding":230,"direction":106,"opportunity":231},"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":234,"title":235,"url":236,"summary":237,"summary_zh":238,"content":9,"source_name":239,"source_url":236,"published_at":240,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":241,"score_detail":242,"sources":246,"tags":248,"primary_topic":252,"secondary_topics":253,"classification":254,"search_phrases":270,"slug":273,"view_count":148,"doi":274,"paper":275,"created_at":290},3558,"Meteorolojik Kuraklığın Vejetasyon Sağlığı Üzerindeki Mekânsal ve Zamansal Etkilerinin SPI ve NDVI ile Analizi: Gediz Havzası Örneği","https:\u002F\u002Fdoi.org\u002F10.48123\u002Frsgis.1858019","Kuraklık, özellikle yarı kurak iklim koşullarına sahip havzalarda su kaynakları, tarımsal üretim ve ekosistem sürdürülebilirliği üzerinde belirleyici etkiler oluşturan başlıca doğal afetlerden biridir. Bu bağlamda, kuraklığın bitki örtüsü üzerindeki mekânsal ve zamansal etkilerinin bütüncül yaklaşımlarla değerlendirilmesi büyük önem taşımaktadır. Bu çalışmada, meteorolojik kuraklığın vejetasyon sağlığı üzerindeki mekânsal ve zamansal etkileri, Standartlaştırılmış Yağış İndeksi (SPI) ve Normalize Fark Bitki Örtüsü İndeksi (NDVI) kullanılarak Gediz Havzası örneğinde analiz edilmiştir. SPI analizleri 1970–2023 yılları arasındaki uzun dönem yağış verilerine dayanırken, NDVI verileri 2000–2023 dönemine ait MODIS uydu görüntülerinden elde edilmiştir. İki veri seti arasındaki ilişkiler, ortak dönem olan 2000–2023 yılları için incelenmiştir. Elde edilen bulgular, meteorolojik kuraklık ile vejetasyon sağlığı arasındaki ilişkinin mevsimsel olarak değişkenlik gösterdiğini ortaya koymaktadır. En güçlü ilişki yaz mevsiminde gözlenmiş (r ≈ 0.70) ve bu durum vejetasyonun yağış eksikliklerine en duyarlı olduğu dönemin yaz ayları olduğunu göstermiştir. Buna karşılık, kış (r ≈ 0.05) ve ilkbahar (r ≈ 0.02) mevsimlerinde ilişki oldukça zayıf bulunmuştur. Belirlenen kurak yıllarda (2004, 2008 ve 2022) NDVI değerlerinde belirgin düşüşler gözlenmiştir. Sonuç olarak, vejetasyonun kuraklığa verdiği tepkinin yıl boyunca homojen olmadığı, mevsimsel iklim koşulları ve diğer çevresel faktörlere bağlı olarak değiştiği belirlenmiştir.","干旱是主要自然灾害之一，尤其在具有半干旱气候条件的流域中，对水资源、农业生产和生态系统可持续性产生决定性影响。在此背景下，以整体性方法评估干旱对植被的时空影响具有重要意义。本研究以盖迪兹流域为例，利用标准化降水指数（SPI）和归一化植被指数（NDVI）分析了气象干旱对植被健康的时空影响。SPI分析基于1970—2023年的长期降水数据，而NDVI数据则来自2000—2023年期间的MODIS卫星影像。两个数据集之间的关系在共同时段2000—2023年进行了分析。研究结果表明，气象干旱与植被健康之间的关系呈现季节性变化。最显著的关系出现在夏季（r ≈ 0.70），这表明夏季是植被对降水亏缺最为敏感的时期。相比之下，冬季（r ≈ 0.05）和春季（r ≈ 0.02）的关系则非常微弱。在确定的干旱年份（2004年、2008年和2022年），NDVI值出现了明显下降。综上，植被对干旱的响应在全年并非均匀一致，而是随季节性气候条件及其他环境因素而变化。","Turkish Journal of Remote Sensing and GIS","2026-09-24T00:00:00Z",71,{"impact":122,"substance":243,"depth":244,"authority":20,"freshness":21,"relevant":22,"comment":245},21,17,"基于SPI与NDVI长时序数据揭示气象干旱对植被健康影响的季节性差异，方法规范、结论可靠，对农业干旱遥感监测有参考价值，但属区域案例研究，公共影响有限。",[247],{"name":239,"url":236},[27,128,249,250,251],"干旱监测","植被指数","SPI",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":255},{"candidates":256,"agricultural_evidence":48},[257,262,266],{"code":33,"score":258,"supported":48,"title":259,"abstract":260,"tags":261},4,[],[58],[249],{"code":141,"score":148,"supported":48,"title":263,"abstract":264,"tags":265},[],[145],[],{"code":70,"score":148,"supported":14,"title":267,"abstract":268,"tags":269},[],[],[27,250,128],[271,272],"Gediz Havzası SPI NDVI","气象干旱 植被健康 遥感","GedizHavzasıSPINDVI-3558","10.48123\u002Frsgis.1858019",{"doi":274,"openalex_id":276,"authors":277,"venue":239,"cited_by_count":100,"oa_url":284,"card":285,"direction":106,"ingested_from":108},"W7214166880",[278,281],{"name":279,"orcid":280},"Kemal Yurddaş","https:\u002F\u002Forcid.org\u002F0000-0003-4691-4038",{"name":282,"orcid":283},"Murat Karabulut","https:\u002F\u002Forcid.org\u002F0000-0002-1456-6908","https:\u002F\u002Fdergipark.org.tr\u002Ftr\u002Fdownload\u002Farticle-file\u002F5578303",{"tldr":286,"method":287,"finding":288,"direction":106,"opportunity":289},"用SPI和NDVI分析土耳其盖迪兹流域气象干旱对植被健康的时空影响。","基于1970-2023年降水SPI与2000-2023年MODIS NDVI，做","干旱与植被关系随季节变化，夏季最强(r≈0.70)，冬春极弱；干旱年NDVI明显下降。","可引入滞后效应与多尺度SPI，结合土壤水分和灌溉数据，提升干旱对植被影响的预测能力。","2026-09-26T23:30:31.357310Z",{"id":292,"title":293,"url":294,"summary":295,"summary_zh":296,"content":9,"source_name":297,"source_url":294,"published_at":298,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":299,"score_detail":300,"sources":303,"tags":305,"primary_topic":309,"secondary_topics":314,"classification":320,"search_phrases":344,"slug":347,"view_count":208,"doi":348,"paper":349,"created_at":369},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":301,"depth":244,"authority":20,"freshness":183,"relevant":22,"comment":302},20,"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。",[304],{"name":297,"url":294},[306,27,128,307,308],"农业水资源","灌溉农业","干旱化",{"code":70,"slug":310,"name":311,"path":312,"parent_code":313},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[315,316],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"code":141,"slug":317,"name":318,"path":319,"parent_code":37},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":40,"locked":14,"version":41,"method":42,"evidence":321},{"candidates":322,"agricultural_evidence":48},[323,329,334,338],{"code":70,"score":17,"supported":48,"title":324,"abstract":326,"tags":328},[325],"remote sensing",[327,325],"遥感",[27,128],{"code":33,"score":183,"supported":48,"title":330,"abstract":331,"tags":333},[],[127,58,332],"climate change",[],{"code":141,"score":21,"supported":48,"title":335,"abstract":336,"tags":337},[],[144,145],[306,307],{"code":339,"score":148,"supported":48,"title":340,"abstract":341,"tags":343},"B2",[],[342],"果树",[],[345,346],"Ribat El Kheir 泉水 遥感","摩洛哥 灌溉农业 水资源","RibatElKheir泉水遥感-3551","10.4028\u002Fp-9o0ojj",{"doi":348,"openalex_id":350,"authors":351,"venue":297,"cited_by_count":100,"oa_url":9,"card":364,"direction":106,"ingested_from":108},"W7214294130",[352,354,355,358,360,361],{"name":353,"orcid":9},"Hamid Achiban",{"name":353,"orcid":9},{"name":356,"orcid":357},"Miloud Afenzar","https:\u002F\u002Forcid.org\u002F0009-0008-0839-0230",{"name":359,"orcid":9},"Hassan Achiban",{"name":359,"orcid":9},{"name":362,"orcid":363},"Nourddine El Gali","https:\u002F\u002Forcid.org\u002F0009-0001-7025-4765",{"tldr":365,"method":366,"finding":367,"direction":106,"opportunity":368},"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":371,"title":372,"url":373,"summary":374,"summary_zh":375,"content":9,"source_name":376,"source_url":373,"published_at":377,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":378,"score_detail":379,"sources":382,"tags":384,"primary_topic":388,"secondary_topics":389,"classification":390,"search_phrases":401,"slug":404,"view_count":148,"doi":405,"paper":406,"created_at":425},3072,"APPLICATION OF SENTINEL-2 DATA TO ASSESS SEASONAL VEGETATION DYNAMICS IN THE IALPUG RIVER BASIN, SOUTHERN PART OF THE REPUBLIC OF MOLDOVA","https:\u002F\u002Fdoi.org\u002F10.21163\u002Fgt_2027.221.06","This study uses Sentinel-2 imagery to characterize seasonal vegetation dynamics in the analysed part of the Ialpug River Basin from March to October 2025.Monthly NDVI, month-to-month NDVI differences (ΔNDVI) and mean NDVI were calculated to describe vegetation greenness, the direction and magnitude of change between observations, and average greenness across the study period.The results show spring greening followed by spatially contrasting changes in early summer.Moderate vegetation cover occupied its largest share in April, while dense vegetation reached its maximum extent in June.The most widespread decline occurred between June and July, when 54.18% of the study area recorded an NDVI decrease exceeding 0.1.Very sparse vegetation reached its greatest extent in September, followed by limited greening in October.The mean NDVI classification placed 69.20% of the study area in the sparse vegetation class and 24.49% in the very sparse vegetation class, indicating predominantly low to intermediate average greenness across the selected observations.These classes do not establish persistent vegetation conditions or directly identify land-cover types.The summer decline coincided with documented regional drought conditions, but the analysis did not separate climatic effects from crop development, harvesting or other seasonal processes.The combined indicators provide complementary information for identifying areas with pronounced seasonal decline or low average greenness.Multi-year observations and independent climatic, land-cover and field evidence are required to determine the causes of these patterns and assess their longer-term environmental significance.","本研究利用Sentinel-2影像刻画了雅尔普格河（Ialpug River）流域分析区2025年3月至10月的季节性植被动态。通过计算逐月NDVI、月际NDVI差值（ΔNDVI）及平均NDVI，以描述植被绿度、观测间变化的方向与幅度以及研究期内的平均绿度。结果表明，春季出现绿化，随后在初夏呈现空间分异的变化。中度植被覆盖在4月占比最大，而茂密植被在6月达到最大范围。最广泛的下降发生在6月至7月之间，届时研究区54.18%的面积NDVI下降超过0.1。极稀疏植被在9月达到最大范围，随后在10月出现有限绿化。平均NDVI分类将研究区69.20%的面积归为稀疏植被类，24.49%归为极稀疏植被类，表明所选观测期内平均绿度以低至中等为主。这些类别并不确立持续的植被状况，也不直接识别土地覆盖类型。夏季下降与已记录的区域干旱条件相吻合，但分析未将气候影响与作物发育、收割或其他季节性过程区分开来。综合指标为识别季节性下降显著或平均绿度较低的区域提供了互补信息。要确定这些格局的成因并评估其长期环境意义，尚需多年观测以及独立的气候、土地覆盖和野外证据。","Geographia Technica","2026-09-19T00:00:00Z",61,{"impact":21,"substance":19,"depth":380,"authority":122,"freshness":21,"relevant":22,"comment":381},15,"基于Sentinel-2的流域植被季节性动态遥感研究，方法规范、数据翔实，但属区域性案例，对国内农业信息化仅有方法借鉴价值。",[383],{"name":376,"url":373},[27,128,385,386,387],"植被动态","干旱影响","摩尔多瓦",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":391},{"candidates":392,"agricultural_evidence":48},[393,397],{"code":33,"score":63,"supported":48,"title":394,"abstract":395,"tags":396},[],[58,59],[],{"code":70,"score":148,"supported":14,"title":398,"abstract":399,"tags":400},[],[],[27,385,128],[402,403],"摩尔多瓦 NDVI 植被动态","干旱影响 摩尔多瓦 植被动态 遥感监测","摩尔多瓦NDVI植被动态-3072","10.21163\u002Fgt_2027.221.06",{"doi":405,"openalex_id":407,"authors":408,"venue":376,"cited_by_count":100,"oa_url":419,"card":420,"direction":106,"ingested_from":108},"W7213674461",[409,412,414,417],{"name":410,"orcid":411},"Ecaterina MELNICENCO","https:\u002F\u002Forcid.org\u002F0000-0002-2706-9417",{"name":413,"orcid":9},"Viorica ANGHELUȚA",{"name":415,"orcid":416},"Iradion Jechiu","https:\u002F\u002Forcid.org\u002F0000-0001-9582-0615",{"name":418,"orcid":9},"Iurie BEJAN","https:\u002F\u002Ftechnicalgeography.org\u002Fpdf\u002F1_2027\u002F06_melnicenco.pdf",{"tldr":421,"method":422,"finding":423,"direction":106,"opportunity":424},"用Sentinel-2影像分析摩尔多瓦Ialpug河流域2025年3-10月植被季节动态。","Sentinel-2月度NDVI、ΔNDVI与均值NDVI分类，覆盖2025年3","6-7月54.18%区域NDVI降幅超0.1，均值NDVI以稀疏植被为主（69.20%）。","可结合多年遥感与气候、物候及田间数据，分离干旱与作物管理对NDVI下降的贡献。","2026-09-21T23:30:25.567291Z",{"id":427,"title":428,"url":429,"summary":430,"summary_zh":431,"content":9,"source_name":432,"source_url":429,"published_at":433,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":434,"score_detail":435,"sources":437,"tags":439,"primary_topic":442,"secondary_topics":443,"classification":444,"search_phrases":462,"slug":465,"view_count":208,"doi":466,"paper":467,"created_at":482},1740,"Spatio-Temporal Dynamics of Vegetation Response to Climatic Variability in Akinyele Local Government Area, Oyo State, Nigeria","https:\u002F\u002Fdoi.org\u002F10.33003\u002Ffjs-2026-1016-5660","Although vegetation is very sensitive to climatic variability, there is limited evidence on a local scale in many tropical areas. This study has evaluated the spatio-temporal variability of vegetation response to climatic variability in Akinyele Local Government Area, Oyo State, Nigeria using NDVI, Rainfall, LST data of multi-temporal satellite image for the years 2015, 2020 and 2025. Google Earth Engine was used to process the sentinel-2 imagery, CHIRPS rainfall data, and MODIS LST products. NDVI was categorized into 3 classes (sparse, moderate and dense vegetation). The data set consisted of 5,991 sample points with which statistical analyses (Pearson correlation, multiple linear regression, ANOVA) were carried out. Results indicated that from 2015 to 2020 the density of vegetation decreased by 126.45 km² but increased by 158.55 km² until 2025, in accordance with the climatic changes. Mean NDVI decreased from 0.629 in 2015 to 0.611 in 2020, then increased to 0.654 in 2025. LST had a consistently high negative correlation (r = -0.650 to -0.669, p \u003C 0.001) with NDVI, whereas there was a relatively weak positive correlation with rainfall (r = 0.291–0.336). Regression models accounted for 43%–45% of the variability in NDVI, with LST being the most significant predictor (p \u003C 0.001). The results provide a basis for understanding how temperature is the dominant climatic factor controlling vegetation in the study area, and its implications for land use planning, climate change adaptation, sustainable agriculture, and urban green infrastructure in the urbanising landscapes of Nigeria.","尽管植被对气候变率非常敏感，但在许多热带地区，关于局部尺度的证据仍然有限。本研究利用2015年、2020年和2025年的多时相卫星影像数据，包括归一化植被指数（NDVI）、降雨量和地表温度（LST），评估了尼日利亚奥约州阿基涅尔地方政府区域植被对气候变率的时空响应。研究采用谷歌地球引擎（Google Earth Engine）处理哨兵二号（Sentinel-2）影像、CHIRPS降雨数据和MODIS地表温度产品。NDVI被划分为三个等级（稀疏植被、中等植被和茂密植被）。数据集包含5，991个样本点，并据此进行了统计分析（皮尔逊相关分析、多元线性回归、方差分析）。结果表明，从2015年到2020年，植被密度减少了126.45平方公里，但到2025年又增加了158.55平方公里，这与气候变化相一致。平均NDVI从2015年的0.629降至2020年的0.611，随后在2025年上升至0.654。地表温度与NDVI始终呈高度负相关（r = -0.650至-0.669，p \u003C 0.001），而降雨量与NDVI呈相对较弱的正相关（r = 0.291–0.336）。回归模型解释了NDVI变异的43%–45%，其中地表温度是最显著的预测因子（p \u003C 0.001）。研究结果为理解温度作为控制研究区植被的主导气候因子提供了基础，并揭示了其对尼日利亚城市化景观中土地利用规划、气候变化适应、可持续农业和城市绿色基础设施建设的启示意义。","FUDMA Journal of Sciences","2026-09-03T00:00:00Z",57,{"impact":21,"substance":301,"depth":19,"authority":21,"freshness":148,"relevant":22,"comment":436},"地方尺度植被对气候响应的遥感研究，数据详实，但影响范围有限，时效性较低。",[438],{"name":432,"url":429},[440,127,27,441],"农业遥感","植被监测",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":445},{"candidates":446,"agricultural_evidence":48},[447,451,458],{"code":33,"score":55,"supported":48,"title":448,"abstract":449,"tags":450},[],[127,332],[127],{"code":452,"score":63,"supported":48,"title":453,"abstract":454,"tags":457},"H8",[],[455,456],"可持续农业","sustainable agriculture",[],{"code":70,"score":148,"supported":14,"title":459,"abstract":460,"tags":461},[],[],[27,440,441],[463,464],"农业遥感 植被监测 气候变化 NDVI","农业遥感 植被监测","农业遥感植被监测气候变化NDVI-1740","10.33003\u002Ffjs-2026-1016-5660",{"doi":466,"openalex_id":468,"authors":469,"venue":432,"cited_by_count":100,"oa_url":476,"card":477,"direction":106,"ingested_from":108},"W7207552979",[470,472,474],{"name":471,"orcid":9},"Monday Ghandi Daniel",{"name":473,"orcid":9},"Ojodugbowa Shedrach Omachoko",{"name":475,"orcid":9},"Iyam Ubi Effiom","https:\u002F\u002Ffjs.fudutsinma.edu.ng\u002Findex.php\u002Ffjs\u002Farticle\u002Fdownload\u002F5660\u002F3848",{"tldr":478,"method":479,"finding":480,"direction":106,"opportunity":481},"利用遥感数据评估尼日利亚某地植被对气候变化的时空响应。","GEE处理Sentinel-2、CHIRPS、MODIS数据，统计相关与回归分析","温度是主导因子，与NDVI强负相关，降雨弱正相关。","可延伸至热带城市化区域植被-气候耦合模型及适应性管理策略研究。","2026-09-05T23:30:27.920627Z"]