[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2330":3,"related-2330":83},{"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":24,"classification":25,"search_phrases":49,"slug":52,"view_count":53,"doi":54,"paper":55,"created_at":82},2330,"An ensemble version of fire potential index (eFPI) integrating seasonal variability in sub-pixel fuel composition","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.isprsjprs.2026.09.010","Wildfire serves a critical function in shaping the structure, composition and processes of Earth’s ecosystems. However, anthropogenic climate change over the past century has catalyzed a shift in wildfire regimes, particularly in California, as evidenced by increases in the extent, frequency and severity of fires. The broad social-economic consequences of extreme wildfire events necessitate systematic frameworks that incorporate multi-source observations to support risk assessments and pre-fire interventions. This study presents an ensemble Fire Potential Index (eFPI) with multi-decadal Moderate Resolution Imaging Spectroradiometer (MODIS) and climatological data, along with a comprehensive validation of its accuracy in capturing wildfire susceptibility across Southern California between 2002 and 2024. The eFPI captures the fire susceptibility of both live and dead fuels by accounting for variability in ignitability and fuel moisture, while weighting fuel types according to their fractional coverage at the sub-pixel scale. Spectral mixture analysis was first applied on daily MODIS imagery at 500-m spatial resolution to quantify sub-pixel fractions of green vegetation (GV), non-photosynthetic vegetation (NPV) and substrate. Second, we adopted spatially-contiguous climate datasets and in-situ measurements to estimate the moisture content of live and dead fuels, which were subsequently synthesized with extinction coefficients and associated fractional coverage to produce daily estimates of fire potential. Our results indicate the eFPI, through spatially-explicit integration of sub-pixel fuel characteristics, demonstrated a promising capacity to discriminate between burned and unburned regions across Southern California (χ2 = 3247; AUC = 0.74). Substantial differences in antecedent FPI estimates were also found between fire and no-fire pixels, which facilitate short-term projections of fire risk in the absence of real-time remote sensing and climate data. This paper provides an integrative framework for wildfire risk assessments, and offers a new approach for land management and fire protection agencies for efficient pre-fire planning practices.","野火在塑造地球生态系统的结构、组成和过程方面发挥着关键作用。然而，过去一个世纪的人为气候变化催化了野火态势的转变，尤其是在加利福尼亚州，火灾范围、频率和严重程度的增加即为明证。极端野火事件所带来的广泛社会经济后果，要求建立系统性的框架，整合多源观测数据以支持风险评估和火灾前干预。本研究提出了一种集成火灾潜力指数（eFPI），基于多年代际的中分辨率成像光谱仪（MODIS）数据和气候数据，并对其在2002年至2024年间捕捉南加利福尼亚州野火易发性的准确性进行了全面验证。eFPI通过考虑可燃性和燃料含水量的变异性，捕捉活燃料和死燃料的火灾易发性，同时根据燃料类型在亚像元尺度上的覆盖比例对其进行加权。首先，对500米空间分辨率的每日MODIS影像应用光谱混合分析，以量化绿色植被（GV）、非光合植被（NPV）和基底物的亚像元比例。其次，我们采用空间连续的气候数据集和实地测量数据估算活燃料和死燃料的含水量，随后将其与消光系数及相关覆盖比例综合，生成每日火灾潜力估算。研究结果表明，eFPI通过空间显式整合亚像元燃料特征，在区分南加利福尼亚州过火区与未过火区方面展现出良好的能力（χ2 = 3247；AUC = 0.74）。火灾像元与无火像元之间的前期FPI估算值也存在显著差异，这有助于在缺乏实时遥感和气候数据的情况下进行火灾风险的短期预测。本文为野火风险评估提供了一个综合性框架，并为土地管理和消防机构开展高效的火灾前规划实践提供了一种新方法。",null,"ISPRS Journal of Photogrammetry and Remote Sensing","2026-09-10T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"该研究聚焦野火潜势指数与遥感燃料组分反演，属生态与灾害遥感领域，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],"遥感监测","野火风险","植被覆盖",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":29},"needs_review","2026-10-22.2","rules",{"candidates":30,"agricultural_evidence":14,"reason":48},[31,40],{"code":32,"score":33,"supported":34,"title":35,"abstract":36,"tags":39},"I3",8,true,[],[37,38],"遥感","remote sensing",[23,21],{"code":41,"score":42,"supported":34,"title":43,"abstract":44,"tags":47},"H7",7,[],[45,46],"气候变化","climate change",[22],"农业相关性需要复核",[50,51],"植被覆盖 遥感监测 野火风险","植被覆盖 遥感监测","植被覆盖遥感监测野火风险-2330",1,"10.1016\u002Fj.isprsjprs.2026.09.010",{"doi":54,"openalex_id":56,"authors":57,"venue":10,"cited_by_count":15,"oa_url":74,"card":75,"direction":79,"ingested_from":81},"W7212194536",[58,61,64,67,69,71],{"name":59,"orcid":60},"Tuo Feng","https:\u002F\u002Forcid.org\u002F0000-0002-6417-3643",{"name":62,"orcid":63},"Dar A. Roberts","https:\u002F\u002Forcid.org\u002F0000-0002-3555-4842",{"name":65,"orcid":66},"Max A. Moritz","https:\u002F\u002Forcid.org\u002F0000-0002-8995-8893",{"name":68,"orcid":9},"S. Sweeney",{"name":70,"orcid":9},"Y. Zhan",{"name":72,"orcid":73},"Alan T. Murray","https:\u002F\u002Forcid.org\u002F0000-0003-2674-6110","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS092427162600451X\u002Fpdf",{"tldr":76,"method":77,"finding":78,"direction":79,"opportunity":80},"构建集成火灾潜力指数eFPI，融合亚像元燃料组成季节变化，评估南加州野火易发性。","MODIS日影像光谱混合分析、气候数据与实测燃料湿度，2002-2024年南加州","eFPI能有效区分火烧与未火烧区域（AUC=0.74），且火前FPI差异显著，可短期预测火险。","农业遥感与作物表型","可将亚像元燃料动态与机器学习结合，提升火险短期预测精度并推广至其他火险区域。","openalex","2026-09-13T23:30:26.097612Z",{"total":84,"page":53,"page_size":84,"items":85},6,[86,156,223,286,358,409],{"id":87,"title":88,"url":89,"summary":90,"summary_zh":91,"content":9,"source_name":92,"source_url":89,"published_at":93,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":94,"score_detail":95,"sources":100,"tags":102,"primary_topic":105,"secondary_topics":111,"classification":112,"search_phrases":132,"slug":135,"view_count":15,"doi":136,"paper":137,"created_at":155},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":33,"substance":96,"depth":97,"authority":84,"freshness":98,"relevant":53,"comment":99},18,14,9,"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。",[101],{"name":92,"url":89},[21,103,23,104],"土地利用","卢旺达农业",{"code":106,"slug":107,"name":108,"path":109,"parent_code":110},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",[],{"status":113,"locked":14,"version":27,"method":28,"evidence":114},"classified",{"candidates":115,"agricultural_evidence":34},[116,122,127],{"code":106,"score":84,"supported":34,"title":117,"abstract":118,"tags":121},[],[119,120],"地理信息","geographic information",[],{"code":32,"score":123,"supported":14,"title":124,"abstract":125,"tags":126},2,[],[],[23,21],{"code":128,"score":53,"supported":14,"title":129,"abstract":130,"tags":131},"H6",[],[],[103],[133,134],"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":136,"openalex_id":138,"authors":139,"venue":92,"cited_by_count":15,"oa_url":149,"card":150,"direction":79,"ingested_from":81},"W7222817253",[140,142,144,146],{"name":141,"orcid":9},"Vincent Hategekimana",{"name":143,"orcid":9},"Richard Mind J. E.",{"name":145,"orcid":9},"Aboubakar Gasirabo",{"name":147,"orcid":148},"Didier Ntwali","https:\u002F\u002Forcid.org\u002F0000-0002-6914-6652","https:\u002F\u002Fwww.ijisrt.com\u002Fassets\u002Fupload\u002Ffiles\u002FIJISRT26OCT696.pdf",{"tldr":151,"method":152,"finding":153,"direction":79,"opportunity":154},"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":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":15,"score_detail":164,"sources":166,"tags":168,"primary_topic":9,"secondary_topics":171,"classification":172,"search_phrases":198,"slug":201,"view_count":15,"doi":202,"paper":203,"created_at":222},5175,"Driving forces of contemporary wildfire severity in the American Southwest: a remote sensing and machine learning case study in Arizona, USA","https:\u002F\u002Fdoi.org\u002F10.1080\u002F20964471.2026.2735134","As climate change continues to intensify atmospheric moisture demand across the American Southwest, predicting where wildfires cause severe vegetation mortality remains a major challenge. New thermal and optical harmonized satellite products provide emerging opportunities for evaluating how pre-fire vegetation moisture and water stress influence fire severity compared to other variables. We modeled continuous Relativized differenced Normalized Burn Ratio (RdNBR) for 45 wildfires that burned in the 2019 and 2020 fire seasons using random forest to compare Harmonized Landsat–Sentinel-2 vegetation indices, ECOSTRESS (ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station) evapotranspiration and evaporative-stress metrics, Daymet pre-fire weather variables, LANDFIRE fuels attributes, and topographic predictors across five cumulative pre-ignition windows from 1 week to 3 months before ignition. Despite exceptional drought and anomalous fire-weather conditions, low-severity fire was common over the study period. Integrated models outperformed individual product-family models, indicating that fire severity was best explained by combined antecedent weather, terrain, fuels, vegetation type, and vegetation-moisture predictors. Temperature, elevation, solar radiation, vapor pressure, and HLS Normalized Difference Moisture Index (NDMI) were among the most consistent predictors. NDMI was the most consistent HLS plant-moisture metric, but vegetation moisture alone did not explain fire severity. Canopy cover was also important in woodlands and forests. Models using data from shorter pre-ignition windows outperformed longer pre-fire window models. They varied in performance among vegetation types, with the strongest vegetation-specific performance in forests and woodlands. These findings show that emerging high-resolution satellite products can help characterize pre-fire vegetation conditions and improve fire-risk assessments, especially when integrated with short-term antecedent weather, landscape moisture, and terrain data.","随着气候变化持续加剧美国西南部的大气水分需求，预测野火在何处导致严重植被死亡仍是一项重大挑战。新的热红外与光学协调卫星产品为评估火灾前植被水分和水分胁迫相较于其他变量如何影响火烈度提供了新的机遇。我们利用随机森林对2019年和2020年火季燃烧的45场野火构建了连续相对差分归一化燃烧比（RdNBR）模型，比较了协调陆地卫星—哨兵2号（Harmonized Landsat–Sentinel-2）植被指数、ECOSTRESS（国际空间站生态系统空间热辐射计实验）蒸散发与蒸发胁迫指标、Daymet火前气象变量、LANDFIRE燃料属性以及地形预测因子，并考察了从点火前1周至3个月的五个累积点火前时间窗口。尽管期间出现了极端干旱和异常火险天气条件，研究期内低烈度火仍较为普遍。集成模型的表現优于单一产品类别模型，表明火烈度最好由前期气象、地形、燃料、植被类型和植被水分预测因子的组合来解释。温度、海拔、太阳辐射、水汽压和HLS归一化差异水分指数（NDMI）是最为一致的预测因子。NDMI是最一致的HLS植物水分指标，但仅凭植被水分并不能解释火烈度。冠层覆盖度在疏林和林地中也很重要。使用较短点火前时间窗口数据的模型优于较长火前窗口模型。不同植被类型的模型表现存在差异，其中森林和林地的植被特异性表现最强。这些发现表明，新兴高分辨率卫星产品有助于刻画火前植被状况并改进火险评估，尤其是在与短期前期气象、景观水分和地形数据集成时。","Big Earth Data","2026-10-15T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":165},"该研究聚焦美国西南部野火严重程度的遥感与机器学习建模，属于生态与灾害遥感领域，与三农、农业信息化、智慧农业等主题无直接关联，不建议进入每日精选。",[167],{"name":162,"url":159},[169,21,22,170],"机器学习","植被水分",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":173},{"candidates":174,"agricultural_evidence":14,"reason":48},[175,181,187,191],{"code":41,"score":13,"supported":34,"title":176,"abstract":177,"tags":180},[],[45,178,46,179],"干旱","drought",[22],{"code":182,"score":98,"supported":34,"title":183,"abstract":185,"tags":186},"I2",[184],"machine learning",[],[169],{"code":32,"score":98,"supported":34,"title":188,"abstract":189,"tags":190},[38],[],[21],{"code":192,"score":84,"supported":34,"title":193,"abstract":194,"tags":197},"H3",[],[195,196],"蒸散发","evapotranspiration",[],[199,200],"美国西南部 野火 遥感","ECOSTRESS 植被水分 火险","美国西南部野火遥感-5175","10.1080\u002F20964471.2026.2735134",{"doi":202,"openalex_id":204,"authors":205,"venue":162,"cited_by_count":15,"oa_url":216,"card":217,"direction":79,"ingested_from":81},"W7222006390",[206,209,211,213],{"name":207,"orcid":208},"Helen Mills Poulos","https:\u002F\u002Forcid.org\u002F0000-0003-0686-9770",{"name":210,"orcid":9},"Sarah Hardy",{"name":212,"orcid":9},"Jenna Lynne Otaola",{"name":214,"orcid":215},"Andrew  Marder Barton","https:\u002F\u002Forcid.org\u002F0000-0001-5978-0337","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Fpdf\u002F10.1080\u002F20964471.2026.2735134?needAccess=true",{"tldr":218,"method":219,"finding":220,"direction":79,"opportunity":221},"用遥感与随机森林分析亚利桑那45场野火，识别火前植被水分等驱动因子。","HLS植被指数、ECOSTRESS蒸散、Daymet气象与地形数据，随机森林建模","火险严重度需综合火前短期天气、地形、燃料与植被水分，单一水分指标不足。","可借鉴其多源遥感融合与短窗口建模思路，研究作物干旱胁迫与灾损风险预警。","2026-10-17T23:30:30.060308Z",{"id":224,"title":225,"url":226,"summary":227,"summary_zh":228,"content":9,"source_name":229,"source_url":226,"published_at":230,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":231,"score_detail":232,"sources":236,"tags":238,"primary_topic":241,"secondary_topics":246,"classification":247,"search_phrases":265,"slug":268,"view_count":53,"doi":269,"paper":270,"created_at":285},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":233,"substance":234,"depth":96,"authority":233,"freshness":84,"relevant":53,"comment":235},12,22,"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。",[237],{"name":229,"url":226},[45,239,21,240,23],"NDVI","干旱区农业",{"code":41,"slug":242,"name":243,"path":244,"parent_code":245},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":113,"locked":14,"version":27,"method":28,"evidence":248},{"candidates":249,"agricultural_evidence":34},[250,254,260],{"code":41,"score":33,"supported":34,"title":251,"abstract":252,"tags":253},[],[45,178],[240,45],{"code":192,"score":84,"supported":34,"title":255,"abstract":256,"tags":259},[],[257,258],"灌溉","水资源",[],{"code":32,"score":261,"supported":14,"title":262,"abstract":263,"tags":264},3,[],[],[239,23,21],[266,267],"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":269,"openalex_id":271,"authors":272,"venue":229,"cited_by_count":15,"oa_url":279,"card":280,"direction":79,"ingested_from":81},"W7221306668",[273,275,277],{"name":274,"orcid":9},"خولة‌ حمه‌رشید عمر",{"name":276,"orcid":9},"سایە دلاوەر محمد",{"name":278,"orcid":9},"Daban Kadhim Omar","https:\u002F\u002Fbcchj.uobabylon.edu.iq\u002Findex.php\u002Fbcchj\u002Farticle\u002Fdownload\u002F4819\u002F4866",{"tldr":281,"method":282,"finding":283,"direction":79,"opportunity":284},"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":287,"title":288,"url":289,"summary":290,"summary_zh":291,"content":9,"source_name":292,"source_url":289,"published_at":293,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":294,"score_detail":295,"sources":300,"tags":302,"primary_topic":305,"secondary_topics":309,"classification":310,"search_phrases":333,"slug":336,"view_count":53,"doi":337,"paper":338,"created_at":357},4678,"Remote Sensing-based Integration of Land Use\u002FLand Cover, Vegetation Cover, and Land Surface Temperature with Hydrological Implications in Tikrit City, Iraq","https:\u002F\u002Fdoi.org\u002F10.14445\u002F23488352\u002Fijce-v13i9p115","This study examines the integrated relationship among Land Use\u002FLand Cover (LULC), Normalized Difference Vegetation Index (NDVI), and Land Surface Temperature (LST), with hydrological implications, in Tikrit City, Iraq, using Landsat data acquired in 2017 and 2025. LULC, NDVI, and LST layers were prepared using the same spatial boundary, and 4124 paired sample points were extracted from identical locations to support temporal and statistical comparison. The LULC results showed a clear reduction in Soil from 70.52% in 2017 to 49.88% in 2025, whereas Vegetation increased from 25.49% to 44.12%. Built Area also increased from 3.08% to 4.90%, indicating moderate urban expansion. The dominant land-cover transition was from Soil to Vegetation, covering 66,014.66 ha. Mean NDVI increased significantly from 0.061 to 0.075, while mean LST remained statistically stable, changing only from 41.992°C to 42.031°C. However, non-parametric tests indicated that the spatial distribution of LST changed significantly. The NDVI–LST relationship was positive in both years, with Pearson correlation increasing from 0.670 in 2017 to 0.709 in 2025. Regression analysis showed that NDVI explained 44.9% and 50.2% of LST variation in 2017 and 2025, respectively. Class-based analysis indicated that the dominant heat-contributing class shifted from Soil in 2017 to Built Area in 2025. These findings show that surface thermal behavior in Tikrit City cannot be explained by vegetation cover alone, but depends on land-cover composition, mixed pixels, agricultural activity, soil exposure, surface moisture, and seasonal conditions. From a hydrological perspective, the reduction of exposed soil, expansion of vegetation, and growth of built-up areas have implications for infiltration opportunity, runoff potential, evapotranspiration tendency, and surface moisture retention.","本研究利用2017年和2025年获取的Landsat数据，考察了伊拉克提克里特市土地利用\u002F土地覆盖（LULC）、归一化植被指数（NDVI）和地表温度（LST）之间的综合关系及其水文意义。LULC、NDVI和LST图层采用相同的空间边界制备，并从相同位置提取了4124对样本点，以支持时间与统计比较。LULC结果显示，土壤占比从2017年的70.52%明显下降至2025年的49.88%，而植被占比从25.49%上升至44.12%。建成区面积也从3.08%增至4.90%，表明存在中等程度的城市扩张。主导性土地覆盖转变为由土壤转为植被，覆盖面积达66,014.66公顷。平均NDVI从0.061显著增至0.075，而平均LST在统计上保持稳定，仅从41.992°C变为42.031°C。然而，非参数检验表明LST的空间分布发生了显著变化。NDVI与LST的关系在两年中均为正相关，Pearson相关系数从2017年的0.670增至2025年的0.709。回归分析表明，NDVI在2017年和2025年分别解释了LST变异的44.9%和50.2%。基于类别的分析表明，主要的热贡献类别从2017年的土壤转变为2025年的建成区。这些发现表明，提克里特市的地表热行为不能仅由植被覆盖来解释，而是取决于土地覆盖组成、混合像元、农业活动、土壤裸露、地表湿度和季节条件。从水文角度看，裸露土壤减少、植被扩张和建成区增长对下渗机会、径流潜力、蒸散发趋势和地表水分保持具有影响。","International Journal of Civil Engineering","2026-10-10T00:00:00Z",68,{"impact":33,"substance":296,"depth":297,"authority":298,"freshness":13,"relevant":53,"comment":299},20,17,13,"基于Landsat双期影像量化伊拉克提克里特市土地利用、植被与地表温度耦合关系及其水文效应，数据扎实、结论明确，对农业遥感与土地变化研究有参考价值，但地域性强、国内关联度有限。",[301],{"name":292,"url":289},[21,103,303,23,304],"地表温度","水文响应",{"code":32,"slug":306,"name":307,"path":308,"parent_code":110},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",[],{"status":113,"locked":14,"version":27,"method":28,"evidence":311},{"candidates":312,"agricultural_evidence":34},[313,318,325,329],{"code":32,"score":314,"supported":34,"title":315,"abstract":316,"tags":317},11,[38],[],[303,23,21],{"code":319,"score":84,"supported":34,"title":320,"abstract":321,"tags":324},"H2",[],[322,323],"土壤","soil",[],{"code":192,"score":84,"supported":34,"title":326,"abstract":327,"tags":328},[],[195,196],[],{"code":128,"score":53,"supported":14,"title":330,"abstract":331,"tags":332},[],[],[103],[334,335],"Landsat 土地利用 植被覆盖 地表温度","土地利用 地表温度 植被覆盖 水文响应","Landsat土地利用植被覆盖地表温度-4678","10.14445\u002F23488352\u002Fijce-v13i9p115",{"doi":337,"openalex_id":339,"authors":340,"venue":292,"cited_by_count":15,"oa_url":351,"card":352,"direction":79,"ingested_from":81},"W7221352158",[341,343,345,348],{"name":342,"orcid":9},"Omar Taher Nafe'e",{"name":344,"orcid":9},"Dalia Shaker Mahdi",{"name":346,"orcid":347},"Lubna B. Mahmood","https:\u002F\u002Forcid.org\u002F0009-0000-4428-4891",{"name":349,"orcid":350},"Asmaa Abdul Jabbar Jamel","https:\u002F\u002Forcid.org\u002F0000-0001-7602-3426","https:\u002F\u002Fwww.internationaljournalssrg.org\u002F..\u002FIJCE\u002F2026\u002FVolume13-Issue9\u002FIJCE-V13I9P115.pdf",{"tldr":353,"method":354,"finding":355,"direction":79,"opportunity":356},"基于Landsat 2017与2025年数据，分析伊拉克提克里特市LULC、NDVI与LST的耦合关","Landsat影像、4124个配对样点、NDVI与LST反演、相关与回归分析。","植被增加、裸土减少，LST均值稳定但空间分布显著变化，NDVI-LST正相关增强，主导热贡献由裸土转","可结合土壤湿度与蒸散数据，探究NDVI-LST正相关机制及混合像元对城市农业水文过程的影响。","2026-10-11T23:30:30.165387Z",{"id":359,"title":360,"url":361,"summary":362,"summary_zh":363,"content":9,"source_name":364,"source_url":361,"published_at":365,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":366,"sources":368,"tags":370,"primary_topic":9,"secondary_topics":373,"classification":374,"search_phrases":385,"slug":388,"view_count":53,"doi":389,"paper":390,"created_at":408},4363,"Spatiotemporal dynamics of urbanisation induced environmental quality in arid city using a grid-based analysis in Jodhpur India from 2001 to 2021","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44274-026-01067-7","Rapid urbanisation in arid regions intensifies heat exposure, vegetation loss, and particulate pollution, yet medium-sized desert cities remain underrepresented in integrated environmental assessments. We quantified spatiotemporal changes in environmental quality in Jodhpur, India, from 2001 to 2021 using a novel grid-based Environmental Quality Index (EQI). Methodological innovation lies in three elements: incorporation of nighttime land surface temperature (LST) to capture urban heat retention relevant to population exposure; application of a uniform 32-grid intra-urban framework to detect micro-spatial heterogeneity; and integration of satellite-derived PM 2.5 with vegetation–thermal dynamics using a geometric mean to minimise compensatory bias. Indicators, LST (land degradation), NDVI-derived vegetation cover (ecosystem regulation), and PM 2.5 (atmospheric quality), were selected for direct biophysical relevance, long-term satellite consistency, and exposure sensitivity, rather than proxy measures such as built-up indices or population density. Annual MODIS, Landsat, and satellite model fused PM 2.5 datasets (1 km) were standardised (0–100); trends were analysed using Mann–Kendall and Sen’s slope estimators; interrelationships were assessed via multiple linear regression. Land-use classification from Landsat achieved > 85% overall accuracy. Seventy-one percent of grids showed significant nighttime warming ( p \u003C 0·05), with hotspots reaching + 1·36 °C. Core urban areas recorded vegetation decline (mean ΔVC − 0·02), whereas peri-urban grids showed moderate greening (ΔVC up to + 0·07). Mean PM 2.5 ranged 4–7 μg\u002Fm 3 and was strongly associated with vegetation loss (R 2 = 0·66) and elevated LST (R 2 = 0·49). The proportion of city area classified as poor or very poor EQI increased from 15·1% (2001) to 41·5% (2021). Vegetation decline was the dominant predictor of PM 2.5 increase (β = − 0·44; p = 0·01). These findings indicate substantial environmental deterioration and provide a scalable framework for climate-resilient urban planning in arid cities.","干旱地区快速城市化加剧了热暴露、植被丧失和颗粒物污染，但中型沙漠城市在综合环境评估中仍代表性不足。我们采用一种新颖的基于网格的环境质量指数（EQI），量化了印度焦特布尔2001年至2021年环境质量的时空变化。方法学创新体现在三个方面：纳入夜间地表温度（LST）以捕捉与人口暴露相关的城市热量滞留；应用统一的32网格城市内部框架以检测微观空间异质性；以及利用几何平均整合卫星反演的PM2.5与植被—热力动态，以最小化补偿偏差。指标选取LST（土地退化）、NDVI衍生的植被覆盖度（生态系统调节）和PM2.5（大气质量），因其具有直接的生物物理相关性、长期卫星一致性和暴露敏感性，而非建成区指数或人口密度等替代指标。年度MODIS、Landsat和卫星模型融合PM2.5数据集（1 km）经标准化处理（0–100）；趋势采用Mann–Kendall和Sen's斜率估计器分析；相互关系通过多元线性回归评估。基于Landsat的土地利用分类总体精度超过85%。71%的网格显示显著的夜间增温（p \u003C 0.05），热点区域增温达+1.36 °C。核心城区记录到植被下降（平均ΔVC −0.02），而城市边缘网格则显示中度绿化（ΔVC最高达+0.07）。PM2.5均值范围为4–7 μg\u002Fm³，与植被丧失（R² = 0.66）和LST升高（R² = 0.49）密切相关。被归类为差或极差EQI的城市面积比例从15.1%（2001年）增至41.5%（2021年）。植被下降是PM2.5增加的主导预测因子（β = −0.44；p = 0.01）。这些发现表明环境质量显著恶化，并为干旱城市的气候韧性城市规划提供了一个可扩展框架。","Discover Environment","2026-10-05T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":367},"研究印度焦特布尔干旱城市环境质量时空变化，属城市环境遥感范畴，与三农、农业信息化、数字乡村无直接关联，不建议进入每日精选。",[369],{"name":364,"url":361},[21,371,23,372],"城市热岛","PM2.5",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":375},{"candidates":376,"agricultural_evidence":14,"reason":48},[377,381],{"code":41,"score":261,"supported":34,"title":378,"abstract":379,"tags":380},[],[178],[],{"code":32,"score":123,"supported":14,"title":382,"abstract":383,"tags":384},[],[],[23,21],[386,387],"焦特布尔 环境质量指数","印度 干旱城市 城市化","焦特布尔环境质量指数-4363","10.1007\u002Fs44274-026-01067-7",{"doi":389,"openalex_id":391,"authors":392,"venue":364,"cited_by_count":15,"oa_url":402,"card":403,"direction":79,"ingested_from":81},"W7220453628",[393,396,399],{"name":394,"orcid":395},"Amjed Ali","https:\u002F\u002Forcid.org\u002F0000-0002-0866-2346",{"name":397,"orcid":398},"Kheraj Kheraj","https:\u002F\u002Forcid.org\u002F0000-0002-1107-5628",{"name":400,"orcid":401},"Arshad Ahmed","https:\u002F\u002Forcid.org\u002F0000-0002-5196-928X","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44274-026-01067-7.pdf",{"tldr":404,"method":405,"finding":406,"direction":79,"opportunity":407},"用网格化环境质量指数评估印度焦特布尔2001-2021年城市化引发的环境质量时空变化。","基于MODIS\u002FLandsat与PM2.5数据构建32格网EQI，用Mann-K","71%网格夜间显著升温，环境质量差区域从15.1%升至41.5%，植被减少是PM2.5上升主因。","可将该网格化EQI框架迁移至干旱区农业景观，耦合作物物候与夜间热暴露评估。","2026-10-07T23:30:28.927907Z",{"id":410,"title":411,"url":412,"summary":413,"summary_zh":414,"content":9,"source_name":415,"source_url":412,"published_at":416,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":417,"sources":419,"tags":421,"primary_topic":9,"secondary_topics":423,"classification":424,"search_phrases":435,"slug":438,"view_count":261,"doi":439,"paper":440,"created_at":448},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","Journal of Chemical Biological and Physical Sciences","2026-09-24T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":418},"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。",[420],{"name":415,"url":412},[45,21,23,422],"多哥",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":425},{"candidates":426,"agricultural_evidence":14,"reason":48},[427,431],{"code":41,"score":42,"supported":34,"title":428,"abstract":429,"tags":430},[],[45,178],[45],{"code":32,"score":123,"supported":14,"title":432,"abstract":433,"tags":434},[],[],[23,21],[436,437],"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","10.24214\u002Fjcbps.d.16.4.68398",{"doi":439,"openalex_id":441,"authors":442,"venue":415,"cited_by_count":15,"oa_url":412,"card":443,"direction":79,"ingested_from":81},"W7214205919",[],{"tldr":444,"method":445,"finding":446,"direction":79,"opportunity":447},"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。","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。","2026-09-25T23:30:31.156223Z"]