[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3502":3,"related-3502":64},{"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":18,"tags":20,"primary_topic":9,"secondary_topics":25,"classification":26,"search_phrases":47,"slug":50,"view_count":51,"doi":52,"paper":53,"created_at":63},3502,"Diagnosis of climate condition variations and their socio-environmental impacts in the Ogou prefecture (Southeast of the Plateaux Region - Togo)","https:\u002F\u002Fdoi.org\u002F10.24214\u002Fjcbps.d.16.4.68398","This study is conducted within the context of increasingly variable climate conditions across the world, which are affecting socioeconomic activities.The study aims to assess climate changes and identify their socio-environmental effects in the Ogou Prefecture.Data from ANAMET and Power NASA (1990-2024) enabled a frequency analysis of climate indices and the five-year spatio-temporal mapping of temperatures.Landsat imagery from 2003 and 2023, as well as MODIS data (temperature and NDVI) from 2000 to 2024 were used to study changes in vegetation cover in relation to temperature.From the survey of 369 participants, socioeconomic impacts have been identified.The results show a decline in rainy seasons, a recurrence of dry spells, and a rise in temperatures along a northwest-southeast gradient, along with values exceeding 26°C.The five-year period from 2015 to 2019 and the period from 2020 to 2024 are the most affected by global warming.A Diachronic analysis of land-cover maps reveals a degradation of vegetation cover; Diagnosis of …Faya Lemou et al.","本研究是在全球气候条件日益多变、并影响社会经济活动的背景下开展的。研究旨在评估气候变化并识别其在奥古省（Ogou Prefecture）产生的社会环境效应。利用ANAMET和Power NASA（1990—2024年）的数据，对气候指数进行了频率分析，并绘制了五年期气温时空分布图。研究还使用了2003年和2023年的Landsat影像，以及2000—2024年的MODIS数据（温度和NDVI），以探讨植被覆盖随温度变化的情况。通过对369名受访者的调查，识别出了社会经济影响。结果表明，雨季缩短、干旱期反复出现，气温沿西北—东南梯度上升，且数值超过26°C。2015—2019年的五年期以及2020—2024年期间受全球变暖影响最为严重。土地覆盖图的历时分析揭示了植被覆盖退化；对……Faya Lemou等人的诊断",null,"Journal of Chemical Biological and Physical Sciences","2026-09-24T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"研究多哥Ogou地区气候变化与社会环境影响，属气候环境科学，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[19],{"name":10,"url":6},[21,22,23,24],"气候变化","遥感监测","植被覆盖","多哥",[],{"status":27,"locked":14,"version":28,"method":29,"evidence":30},"needs_review","2026-10-22.2","rules",{"candidates":31,"agricultural_evidence":14,"reason":46},[32,40],{"code":33,"score":34,"supported":35,"title":36,"abstract":37,"tags":39},"H7",7,true,[],[21,38],"干旱",[21],{"code":41,"score":42,"supported":14,"title":43,"abstract":44,"tags":45},"I3",2,[],[],[23,22],"农业相关性需要复核",[48,49],"植被覆盖 气候变化 遥感监测 多哥","植被覆盖 气候变化","植被覆盖气候变化遥感监测多哥-3502",3,"10.24214\u002Fjcbps.d.16.4.68398",{"doi":52,"openalex_id":54,"authors":55,"venue":10,"cited_by_count":15,"oa_url":6,"card":56,"direction":60,"ingested_from":62},"W7214205919",[],{"tldr":57,"method":58,"finding":59,"direction":60,"opportunity":61},"评估多哥Ogou省气候变化及其对社会环境的影响。","用ANAMET\u002FNASA气象数据、Landsat与MODIS影像及369份问卷分","雨季减少、干旱频发、气温升高，植被退化，2015年后变暖加剧。","农业遥感与作物表型","可结合多源遥感与农户调查，量化气候变暖对西非农业生计的级联影响。","openalex","2026-09-25T23:30:31.156223Z",{"total":65,"page":66,"page_size":65,"items":67},6,1,[68,134,199,248,359,420],{"id":69,"title":70,"url":71,"summary":72,"summary_zh":73,"content":9,"source_name":74,"source_url":71,"published_at":75,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":76,"score_detail":77,"sources":82,"tags":84,"primary_topic":87,"secondary_topics":92,"classification":93,"search_phrases":113,"slug":116,"view_count":66,"doi":117,"paper":118,"created_at":133},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":78,"substance":79,"depth":80,"authority":78,"freshness":65,"relevant":66,"comment":81},12,22,18,"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。",[83],{"name":74,"url":71},[21,85,22,86,23],"NDVI","干旱区农业",{"code":33,"slug":88,"name":89,"path":90,"parent_code":91},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":94,"locked":14,"version":28,"method":29,"evidence":95},"classified",{"candidates":96,"agricultural_evidence":35},[97,102,109],{"code":33,"score":98,"supported":35,"title":99,"abstract":100,"tags":101},8,[],[21,38],[86,21],{"code":103,"score":65,"supported":35,"title":104,"abstract":105,"tags":108},"H3",[],[106,107],"灌溉","水资源",[],{"code":41,"score":51,"supported":14,"title":110,"abstract":111,"tags":112},[],[],[85,23,22],[114,115],"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":117,"openalex_id":119,"authors":120,"venue":74,"cited_by_count":15,"oa_url":127,"card":128,"direction":60,"ingested_from":62},"W7221306668",[121,123,125],{"name":122,"orcid":9},"خولة‌ حمه‌رشید عمر",{"name":124,"orcid":9},"سایە دلاوەر محمد",{"name":126,"orcid":9},"Daban Kadhim Omar","https:\u002F\u002Fbcchj.uobabylon.edu.iq\u002Findex.php\u002Fbcchj\u002Farticle\u002Fdownload\u002F4819\u002F4866",{"tldr":129,"method":130,"finding":131,"direction":60,"opportunity":132},"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":135,"title":136,"url":137,"summary":138,"summary_zh":139,"content":9,"source_name":140,"source_url":137,"published_at":141,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":142,"score_detail":143,"sources":146,"tags":148,"primary_topic":151,"secondary_topics":156,"classification":157,"search_phrases":182,"slug":185,"view_count":65,"doi":186,"paper":187,"created_at":198},3183,"Integrated Remote Sensing and Time Series Analysis for Long-Term Assessment of Vegetation Resilience: Synthesizing Climatic Variables and Land-Use\u002FLand-Cover Trajectories in Al-Ahsa Oasis, Saudi Arabia","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15091758","Continuous monitoring of land-use\u002Fland-cover (LULC) change is essential in the Al-Ahsa Oasis, an arid region characterized by a sensitive and fragile environment. This study is the first to integrate vegetation, climate, and land-use frameworks by combining vegetation indicators, climatic variables, and LULC trajectory classification over a 41-year period (1985–2025). Data from three Landsat sensors (Landsat 5-TM, 7-ETM+, and 8-OLI) were processed to derive vegetation indicators and an LULC trajectory classification, while ERA5-Land and CHIRPS data provided surface temperature and rainfall information, respectively. LULC trajectory classification was implemented using a random forest classifier, generating six LULC trajectory classes: stable barren, stable urban, stable water, urban expansion, transition lands, and stable vegetation. Pearson correlation analysis was used to assess the relationships between the vegetation indicators (normalized difference vegetation index [NDVI] and soil-adjusted vegetation index [SAVI]) and climatic variables (temperature and rainfall) at different time lags (0–3 years) and after detrending the time series. The detrending analysis showed no statistically significant associations between the vegetation indicators (NDVI and SAVI) and the climatic variables (temperature and rainfall) across the four examined lags, whereas the original, non-detrended time series showed positive associations that were mainly attributable to long-term trends rather than to interannual climate–vegetation covariation. The accuracy of LULC trajectory classification was high, with an overall accuracy of 0.939 and a kappa coefficient of 0.924, indicating robust mapping performance. Overall vegetation cover improved over the study period. The degradation occurred in the central part of the oasis (stable urban, urban expansion, and stable water classes, accounting for 4.506%, 5.179%, and 41.773% of each trajectory class, respectively), whereas the recovery was observed in the northern, southern, and eastern parts (stable vegetation and transition lands, accounting for 37.656% and 52.891% of each trajectory class, respectively). These findings provide long-term insights into vegetation resilience in the Al-Ahsa Oasis over 41 years, supporting sustainable urban planning and vegetation and agricultural management.","在环境敏感而脆弱的干旱区——哈萨绿洲，持续监测土地利用\u002F土地覆盖（LULC）变化至关重要。本研究首次在41年（1985—2025年）时间跨度内，通过整合植被指标、气候变量与LULC轨迹分类，构建了植被、气候与土地利用的综合框架。研究处理了三颗Landsat传感器（Landsat 5-TM、7-ETM+和8-OLI）的数据，以提取植被指标并进行LULC轨迹分类，同时分别利用ERA5-Land和CHIRPS数据获取地表温度和降雨信息。LULC轨迹分类采用随机森林分类器实现，生成了六类LULC轨迹：稳定裸地、稳定城市、稳定水体、城市扩张、过渡土地和稳定植被。采用Pearson相关分析评估植被指标（归一化差异植被指数[NDVI]和土壤调节植被指数[SAVI]）与气候变量（温度和降雨）在不同时间滞后（0—3年）及时间序列去趋势后的关系。去趋势分析表明，在四个考察滞后下，植被指标（NDVI和SAVI）与气候变量（温度和降雨）之间均无统计学显著关联，而原始未去趋势时间序列则显示出正相关，这主要归因于长期趋势而非年际气候—植被协变。LULC轨迹分类精度较高，总体精度为0.939，kappa系数为0.924，表明制图性能稳健。研究期间整体植被覆盖有所改善。退化发生在绿洲中部（稳定城市、城市扩张和稳定水体类别，分别占各轨迹类别的4.506%、5.179%和41.773%），而恢复则出现在北部、南部和东部（稳定植被和过渡土地，分别占各轨迹类别的37.656%和52.891%）。这些发现为哈萨绿洲41年来的植被恢复力提供了长期见解，可支持可持续城市规划以及植被与农业管理。","Land","2026-09-20T00:00:00Z",73,{"impact":78,"substance":79,"depth":80,"authority":144,"freshness":98,"relevant":66,"comment":145},13,"41年长时序遥感与气候变量整合分析，方法扎实、结论可靠，对干旱区绿洲农业可持续管理有参考价值，但属区域性案例研究，公共影响有限。",[147],{"name":140,"url":137},[21,22,149,23,150],"土地利用","绿洲农业",{"code":41,"slug":152,"name":153,"path":154,"parent_code":155},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":94,"locked":14,"version":28,"method":29,"evidence":158},{"candidates":159,"agricultural_evidence":35},[160,165,172,177],{"code":41,"score":13,"supported":35,"title":161,"abstract":163,"tags":164},[162],"remote sensing",[],[23,22],{"code":166,"score":65,"supported":35,"title":167,"abstract":168,"tags":171},"H2",[],[169,170],"土壤","soil",[],{"code":33,"score":173,"supported":35,"title":174,"abstract":175,"tags":176},4,[],[38],[21],{"code":178,"score":66,"supported":14,"title":179,"abstract":180,"tags":181},"H6",[],[],[149],[183,184],"Al-Ahsa Oasis 遥感 植被","Landsat NDVI 土地利用变化","Al-AhsaOasis遥感植被-3183","10.3390\u002Fland15091758",{"doi":186,"openalex_id":188,"authors":189,"venue":140,"cited_by_count":15,"oa_url":137,"card":193,"direction":60,"ingested_from":62},"W7213862324",[190],{"name":191,"orcid":192},"Amal H. Aljaddani","https:\u002F\u002Forcid.org\u002F0000-0003-1171-8416",{"tldr":194,"method":195,"finding":196,"direction":60,"opportunity":197},"整合41年Landsat植被指数、气候变量与LULC轨迹，评估沙特Al-Ahsa绿洲植被恢复力。","Landsat 5\u002F7\u002F8时序、ERA5-Land与CHIRPS气候数据、随机森","去趋势后植被与气候无显著相关，绿洲整体植被改善，中部退化、南北东恢复。","可引入非线性\u002F因果推断与高分辨率数据，区分灌溉、城市化与气候对干旱区绿洲植被恢复力的驱动。","2026-09-22T23:30:25.304168Z",{"id":200,"title":201,"url":202,"summary":203,"summary_zh":204,"content":9,"source_name":205,"source_url":202,"published_at":206,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":207,"sources":209,"tags":211,"primary_topic":9,"secondary_topics":214,"classification":215,"search_phrases":227,"slug":230,"view_count":15,"doi":231,"paper":232,"created_at":247},5560,"How do weather, topography and fuel condition drive the extreme behavior of a Mediterranean megafire? A case study of the 2025 Jarilla wildfire (western Spain)","https:\u002F\u002Fdoi.org\u002F10.3389\u002Fffgc.2026.1953360","The 2025 wildfire season was the most destructive on record in the European Union, with more than 1 million hectares burned, and the Iberian Peninsula was the hardest-hit region, accounting for 43% of that area. The Jarilla wildfire (Cáceres, Spain; 17,317 ha, august 2025) exemplifies how meteorology, topography, and fuel condition jointly controlled the behavior of these Iberian megafires. Our aim was to analyze the role of these three factors in the fire’s behavior and to evaluate their interpretation against the post-fire severity footprint, within a reproducible workflow relying entirely on open-access data. We combined ERA5 hourly reanalysis, the fire weather index (FWI), Sentinel-2 spectral indices (NDVI, NDII, dNBR), VIIRS active-fire detections, and the 5 m PNOA digital elevation model. During the active phase (august 12–17), the atmosphere was extremely desiccating—vapor pressure deficit peaking at 5.9 kPa, minimum relative humidity near 15%, and FWI in the “extreme” class—acting on a dense but already water-stressed fuel cover (mean NDVI 0.53, mean NDII 0.05). The wind regime was bimodal: a frequent but weak nocturnal north-easterly flow and a diurnal south–south-westerly (SSW) flow that drove the observed SW–NE progression. Fire spread corridors—steep, wind-aligned, fuel-laden terrain delineated with the SSW driving wind—covered 13.7% of the burned area and showed higher mean severity (dNBR 665) than their surroundings (525); however, 84% of the high-severity area lay outside them. These results indicate that, in such “hot-drought” megafires, severity is driven primarily by extreme atmospheric drying acting on continuous, dry fuel, whereas topography and wind spatially organize its peaks rather than determining them. Beyond reconstructing a single event, the study provides a transferable, open-data framework for diagnosing megafire drivers and suggests that fuel- and weather-based prevention, more than topographic targeting, is key to mitigating Mediterranean megafires.","2025年野火季是欧盟有记录以来破坏性最强的一个野火季，过火面积超过100万公顷，其中伊比利亚半岛是受灾最严重的地区，占该面积的43%。Jarilla野火（西班牙卡塞雷斯，17,317公顷，2025年8月）体现了气象、地形和可燃物条件如何共同控制这些伊比利亚特大火灾的行为。我们的目标是分析这三个因素在火灾行为中的作用，并在完全依赖开放获取数据的可重复工作流程中，评估它们与火后严重程度足迹的对应解释。我们结合了ERA5逐小时再分析数据、火险天气指数（FWI）、Sentinel-2光谱指数（NDVI、NDII、dNBR）、VIIRS活跃火点检测以及5米PNOA数字高程模型。在活跃阶段（8月12日至17日），大气极度干燥——饱和水汽压差峰值达5.9 kPa，最低相对湿度接近15%，FWI处于“极端”等级——作用于密集但已受水分胁迫的可燃物覆盖层（平均NDVI为0.53，平均NDII为0.05）。风况呈双峰分布：夜间频繁但微弱的东北气流，以及白天驱动观测到的西南—东北方向蔓延的南—西南（SSW）气流。火势蔓延走廊——陡峭、与风向一致、可燃物载量高的地形，以SSW驱动风 delineated——覆盖了过火面积的13.7%，并显示出比周围区域更高的平均严重程度（dNBR 665对525）；然而，84%的高严重程度区域位于这些走廊之外。这些结果表明，在此类“高温—干旱”特大火灾中，严重程度主要由极端大气干燥作用于连续、干燥的可燃物所驱动，而地形和风在空间上组织其峰值而非决定峰值。除重建单一事件外，该研究提供了一个可迁移的开放数据框架，用于诊断特大火灾驱动因素，并表明基于可燃物和天气的预防，而非地形靶向，是缓解地中海特大火灾的关键。","Frontiers in Forests and Global Change","2026-10-20T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":208},"该研究聚焦西班牙地中海野火的气象与地形驱动机制，属于林火生态与遥感应用，与三农、农业信息化、智慧农业主题无直接关联，不建议进入每日精选。",[210],{"name":205,"url":202},[21,22,212,213],"野火研究","西班牙",[],{"status":27,"locked":14,"version":28,"method":29,"evidence":216},{"candidates":217,"agricultural_evidence":14,"reason":46},[218,223],{"code":33,"score":34,"supported":35,"title":219,"abstract":220,"tags":222},[],[38,221],"drought",[21],{"code":41,"score":66,"supported":14,"title":224,"abstract":225,"tags":226},[],[],[22],[228,229],"气候变化 遥感监测 野火研究 西班牙","气候变化 遥感监测","气候变化遥感监测野火研究西班牙-5560","10.3389\u002Fffgc.2026.1953360",{"doi":231,"openalex_id":233,"authors":234,"venue":205,"cited_by_count":15,"oa_url":240,"card":241,"direction":246,"ingested_from":62},"W7223002169",[235,237],{"name":236,"orcid":9},"Luis Hernández-Sánchez",{"name":238,"orcid":239},"Marcos Francos","https:\u002F\u002Forcid.org\u002F0000-0002-3311-5686","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fforests-and-global-change\u002Farticles\u002F10.3389\u002Fffgc.2026.1953360\u002Fpdf",{"tldr":242,"method":243,"finding":244,"direction":60,"opportunity":245},"分析2025年西班牙Jarilla特大火灾，揭示气象、地形与燃料条件如何共同驱动火行为。","融合ERA5再分析、FWI、Sentinel-2指数、VIIRS火点和5米DEM","极端大气干燥叠加连续干旱燃料主导火强度，地形与风仅空间组织高严重度峰值而非决定其分布。","可延伸至多源遥感融合的野火驱动因子归因与火险预警，并检验该开源框架在其他地中海火区的可迁移性。","智慧农业 \u002F 农业物联网","2026-10-22T11:20:20.437834Z",{"id":249,"title":250,"url":251,"summary":252,"summary_zh":253,"content":9,"source_name":254,"source_url":251,"published_at":206,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":255,"score_detail":256,"sources":259,"tags":261,"primary_topic":265,"secondary_topics":266,"classification":274,"search_phrases":330,"slug":333,"view_count":15,"doi":334,"paper":335,"created_at":358},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",66,{"impact":144,"substance":80,"depth":257,"authority":78,"freshness":98,"relevant":66,"comment":258},15,"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。",[260],{"name":254,"url":251},[21,262,22,263,264],"盐碱地治理","智慧灌溉","土壤盐渍化",{"code":33,"slug":88,"name":89,"path":90,"parent_code":91},[267,270],{"code":166,"slug":170,"name":268,"path":269,"parent_code":91},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":103,"slug":271,"name":272,"path":273,"parent_code":91},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":94,"locked":14,"version":28,"method":29,"evidence":275},{"candidates":276,"agricultural_evidence":35},[277,283,287,292,297,304,311,318,324],{"code":33,"score":80,"supported":35,"title":278,"abstract":280,"tags":282},[279],"climate change",[21,281,38,279],"气候适应",[21],{"code":166,"score":257,"supported":35,"title":284,"abstract":285,"tags":286},[170],[169,170],[262],{"code":103,"score":13,"supported":35,"title":288,"abstract":289,"tags":291},[],[106,107,271,290],"evapotranspiration",[263],{"code":41,"score":34,"supported":35,"title":293,"abstract":294,"tags":296},[],[295,162],"遥感",[22],{"code":298,"score":65,"supported":35,"title":299,"abstract":300,"tags":303},"A8",[],[301,302],"粮食安全","food security",[],{"code":305,"score":65,"supported":35,"title":306,"abstract":307,"tags":310},"I1",[],[308,309],"精准农业","precision agriculture",[],{"code":312,"score":65,"supported":35,"title":313,"abstract":314,"tags":317},"I4",[],[315,316],"地理信息","geographic information",[],{"code":319,"score":51,"supported":35,"title":320,"abstract":321,"tags":323},"F3",[],[322],"养分管理",[],{"code":325,"score":51,"supported":35,"title":326,"abstract":327,"tags":329},"J1",[],[328],"农业政策",[],[331,332],"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":334,"openalex_id":336,"authors":337,"venue":254,"cited_by_count":15,"oa_url":251,"card":353,"direction":60,"ingested_from":62},"W7222999158",[338,340,342,344,346,348,351],{"name":339,"orcid":9},"Asifa Naz",{"name":341,"orcid":9},"Muhammad Abu Baker Siddiq",{"name":343,"orcid":9},"Syed Asghar Hussain Shah",{"name":345,"orcid":9},"Shahrish Nawaz",{"name":347,"orcid":9},"Muhmmad Irfan",{"name":349,"orcid":350},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":352,"orcid":9},"Muhammad Nouman Khalid",{"tldr":354,"method":355,"finding":356,"direction":60,"opportunity":357},"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",{"id":360,"title":361,"url":362,"summary":363,"summary_zh":364,"content":9,"source_name":365,"source_url":362,"published_at":366,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":367,"score_detail":368,"sources":372,"tags":374,"primary_topic":376,"secondary_topics":380,"classification":381,"search_phrases":396,"slug":399,"view_count":15,"doi":400,"paper":401,"created_at":419},5323,"Impact of Land Use and Land Cover Change on Vegetation Cover Loss in Rwanda: Evidence from Muhoza Sector, Musanze District (2015–2025)","https:\u002F\u002Fdoi.org\u002F10.38124\u002Fijisrt\u002F26oct696","This study analyzed the impact of land use and land cover (LULC) change on vegetation cover loss in Muhoza Sector, Musanze District, Rwanda, between 2015 and 2025. A quantitative geospatial research design was adopted using multi-temporal Landsat and Sentinel-2 satellite imagery, field-based GPS validation, Geographic Information Systems, and Normalized Difference Vegetation Index (NDVI) analysis. Six land-cover classes—forestland, grassland, cropland, urbanized land, wetland, and water bodies—were mapped using supervised classification and post-classification change detection.","本研究分析了2015年至2025年间卢旺达穆桑泽区穆霍扎地区土地利用与土地覆盖（LULC）变化对植被覆盖丧失的影响。研究采用定量地理空间研究设计，运用多时相Landsat和Sentinel-2卫星影像、基于实地GPS验证、地理信息系统以及归一化植被指数（NDVI）分析。通过监督分类和分类后变化检测，对林地、草地、耕地、城市化用地、湿地和水体六类土地覆盖类型进行了制图。","International Journal of Innovative Science and Research Technology (IJISRT)","2026-10-17T00:00:00Z",55,{"impact":98,"substance":80,"depth":369,"authority":65,"freshness":370,"relevant":66,"comment":371},14,9,"基于Landsat与Sentinel-2多时相影像的卢旺达局部土地利用变化与植被损失实证研究，方法规范但属区域案例，国际参考价值有限。",[373],{"name":365,"url":362},[22,149,23,375],"卢旺达农业",{"code":312,"slug":377,"name":378,"path":379,"parent_code":155},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",[],{"status":94,"locked":14,"version":28,"method":29,"evidence":382},{"candidates":383,"agricultural_evidence":35},[384,388,392],{"code":312,"score":65,"supported":35,"title":385,"abstract":386,"tags":387},[],[315,316],[],{"code":41,"score":42,"supported":14,"title":389,"abstract":390,"tags":391},[],[],[23,22],{"code":178,"score":66,"supported":14,"title":393,"abstract":394,"tags":395},[],[],[149],[397,398],"Muhoza Sector 土地利用","卢旺达 NDVI 植被覆盖","MuhozaSector土地利用-5323","10.38124\u002Fijisrt\u002F26oct696",{"doi":400,"openalex_id":402,"authors":403,"venue":365,"cited_by_count":15,"oa_url":413,"card":414,"direction":60,"ingested_from":62},"W7222817253",[404,406,408,410],{"name":405,"orcid":9},"Vincent Hategekimana",{"name":407,"orcid":9},"Richard Mind J. E.",{"name":409,"orcid":9},"Aboubakar Gasirabo",{"name":411,"orcid":412},"Didier Ntwali","https:\u002F\u002Forcid.org\u002F0000-0002-6914-6652","https:\u002F\u002Fwww.ijisrt.com\u002Fassets\u002Fupload\u002Ffiles\u002FIJISRT26OCT696.pdf",{"tldr":415,"method":416,"finding":417,"direction":60,"opportunity":418},"分析卢旺达Muhoza地区2015–2025年土地利用变化对植被覆盖丧失的影响。","多时相Landsat与Sentinel-2影像、GPS实地验证、GIS与NDVI","六类地物制图揭示建设用地扩张等LULC变化是植被覆盖减少的主要驱动。","可结合高分辨率时序遥感与驱动因子模型，量化小农户尺度城镇化对耕地与植被的胁迫。","2026-10-19T23:30:23.040351Z",{"id":421,"title":422,"url":423,"summary":424,"summary_zh":425,"content":9,"source_name":426,"source_url":423,"published_at":427,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":428,"score_detail":429,"sources":431,"tags":433,"primary_topic":437,"secondary_topics":438,"classification":439,"search_phrases":454,"slug":457,"view_count":15,"doi":458,"paper":459,"created_at":481},5172,"Forest green-up in the Pearl River Basin: trends, driving factors, and relationships with net primary productivity","https:\u002F\u002Fdoi.org\u002F10.1080\u002F17538947.2026.2738487","The spring green-up date (GUD), a critical indicator of ecosystem response to climate change, profoundly influences terrestrial productivity. However, the complex drivers of GUD remain elusive, while the contentious relationship between GUD and net primary productivity (NPP) challenges the universal validity of the hypothesis that earlier green-up enhances productivity. Using MODIS NDVI data (2000-2020), we quantified forest GUD dynamics in the Pearl River Basin and combined random forest, SHAP, and structural equation modelling to identify drivers and assess GUD-NPP relationships. GUD was advanced by approximately 5 days, with 81.8% of forestland pixels advancing and 18.2% delaying. Only 5.39% of advances showed significant trends, whereas 30.45% of delays were concentrated near croplands and developed areas. The random forest model explained 58.2% of GUD variation. Elevation, precipitation, and soil potassium and phosphorus were dominant; elevation-induced thermal gradients outweighed ambient temperature effects, with elevations above 1,200 m exhibiting markedly delayed GUD. Spatially, GUD had a positive correlation with NPP, indicating that later GUD was associated with higher forest NPP, possibly because of early-spring cold snaps and frost. Temporally, areas with stronger GUD delays tended to show greater NPP increases. This study identified key controls on subtropical forest phenology and revealed a GUD-NPP trade-off.","春季返青期（GUD）是生态系统响应气候变化的关键指标，深刻影响陆地生产力。然而，GUD的复杂驱动机制仍不明确，且GUD与净初级生产力（NPP）之间存在争议性关系，挑战了“提前返青提高生产力”这一假说的普适性。本研究利用MODIS NDVI数据（2000—2020年），量化了珠江流域森林GUD动态，并结合随机森林、SHAP和结构方程模型识别驱动因子并评估GUD-NPP关系。GUD整体提前约5天，其中81.8%的林地像元提前、18.2%推迟。仅5.39%的提前像元呈显著趋势，而30.45%的推迟像元集中在农田和建成区附近。随机森林模型解释了58.2%的GUD变异。海拔、降水以及土壤钾和磷为主导因子；海拔引起的热梯度效应超过环境温度的影响，海拔1200 m以上区域GUD显著推迟。空间上，GUD与NPP呈正相关，表明GUD越晚森林NPP越高，这可能与早春寒潮和霜冻有关。时间上，GUD推迟越强的区域往往表现为NPP增加越大。本研究识别了亚热带森林物候的关键控制因子，揭示了GUD-NPP之间的权衡关系。","International Journal of Digital Earth","2026-10-15T00:00:00Z",74,{"impact":78,"substance":79,"depth":80,"authority":369,"freshness":98,"relevant":66,"comment":430},"基于MODIS长时序数据的区域森林物候研究，方法组合新颖、结论有增量，但属区域基础研究，产业与政策影响有限，可作专业补充而非每日精选头条。",[432],{"name":426,"url":423},[21,22,434,435,436],"植被生产力","森林物候","珠江流域",{"code":33,"slug":88,"name":89,"path":90,"parent_code":91},[],{"status":94,"locked":14,"version":28,"method":29,"evidence":440},{"candidates":441,"agricultural_evidence":35},[442,446,450],{"code":33,"score":34,"supported":35,"title":443,"abstract":444,"tags":445},[],[21,279],[21],{"code":166,"score":65,"supported":35,"title":447,"abstract":448,"tags":449},[],[169,170],[],{"code":41,"score":66,"supported":14,"title":451,"abstract":452,"tags":453},[],[],[22],[455,456],"珠江流域 森林 返青期","MODIS NDVI 植被生产力","珠江流域森林返青期-5172","10.1080\u002F17538947.2026.2738487",{"doi":458,"openalex_id":460,"authors":461,"venue":426,"cited_by_count":15,"oa_url":475,"card":476,"direction":60,"ingested_from":62},"W7221897424",[462,465,467,469,471,473],{"name":463,"orcid":464},"Shijie Yang","https:\u002F\u002Forcid.org\u002F0009-0001-7573-5509",{"name":466,"orcid":9},"Zhaoju Zheng",{"name":468,"orcid":9},"Xueming Zhao",{"name":470,"orcid":9},"Zhipeng Zhang",{"name":472,"orcid":9},"Xiaohui Cui",{"name":474,"orcid":9},"Yuan Zeng","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Fpdf\u002F10.1080\u002F17538947.2026.2738487?needAccess=true",{"tldr":477,"method":478,"finding":479,"direction":60,"opportunity":480},"基于MODIS NDVI量化珠江流域森林返青期动态，并解析其驱动因子及与NPP的关系。","MODIS NDVI（2000-2020）、随机森林、SHAP与结构方程模型。","返青期整体提前约5天，但延迟区NPP更高，揭示返青期与NPP的权衡关系。","可探究早春寒潮霜冻对返青-NPP权衡的调控机制，并拓展至其他亚热带流域验证普适性。","2026-10-17T23:30:29.750744Z"]