[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4240":3,"related-4240":89},{"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":9,"secondary_topics":32,"classification":33,"search_phrases":57,"slug":60,"view_count":22,"doi":61,"paper":62,"created_at":88},4240,"Quantifying the Relationship Between Satellite-Derived Mangrove Canopy Cover and In Situ Air Temperature in Wonorejo Mangrove Ecotourism","https:\u002F\u002Fdoi.org\u002F10.48084\u002Fetasr.19268","Mangrove canopy contributes to local thermal regulation, but field-based evidence linking satellite-derived canopy cover to in situ air temperature remains limited in tropical urban coastal environments. This study quantified the relationship between Normalized Difference Vegetation Index (NDVI)-based canopy values and in situ air temperature at Wonorejo Mangrove Ecotourism by integrating Landsat 8\u002F9-based canopy mapping with field temperature observations. In situ air temperature was measured at 25 observation points across mangrove and non-mangrove settings from November 2024 to January 2025 using an environmental thermometer positioned 1.3 m above the ground. The mapped mangrove area covered 13.14 ha and was dominated by rare to moderate canopy cover, with 11.34 ha classified as rare and 1.80 ha as moderate. Point-based NDVI values ranged from -0.0051 to 0.42428, while mean in situ air temperature ranged from 31.4 °C to 39.4 °C. Lower air temperatures were generally recorded at mangrove points than at adjacent non-mangrove points. Simple linear regression showed a significant negative correlation between NDVI-based canopy values and average in situ air temperature ( = -0.648, = 0.420, \u003C 0.001), suggesting that higher NDVI values related to the canopy are linked with lower local air temperatures. These findings provide site-specific, seasonally bounded evidence of an inverse relationship between NDVI-derived canopy condition and near-surface air temperature in Wonorejo. The empirical trend may support local mangrove management and climate-adaptation planning, but broader application beyond the study site requires additional temporal monitoring and independent validation.","红树林冠层有助于局部热调节，但在热带城市海岸环境中，将卫星衍生的冠层覆盖度与原位气温相联系的实地证据仍然有限。本研究通过整合基于Landsat 8\u002F9的冠层制图与实地温度观测，量化了Wonorejo红树林生态旅游区基于归一化植被指数（NDVI）的冠层值与原地气温之间的关系。2024年11月至2025年1月期间，使用置于地面上方1.3米处的环境温度计，在红树林和非红树林环境中的25个观测点测量了原地气温。制图所得红树林面积为13.14公顷，以稀疏至中等冠层覆盖为主，其中11.34公顷被归类为稀疏，1.80公顷为中等。基于点位的NDVI值范围为-0.0051至0.42428，而原地平均气温范围为31.4 °C至39.4 °C。红树林点位的 recorded 气温通常低于相邻的非红树林点位。简单线性回归显示，基于NDVI的冠层值与原地平均气温之间存在显著的负相关（ = -0.648， = 0.420， \u003C 0.001），表明与冠层相关的较高NDVI值与较低的局部气温有关。这些发现提供了Wonorejo地区NDVI衍生的冠层状况与近地表气温之间反比关系的特定地点、季节性有限的证据。这一经验趋势可能支持当地红树林管理和气候适应规划，但超出研究地点的更广泛应用需要额外的时间监测和独立验证。",null,"Engineering Technology & Applied Science Research","2026-10-02T00:00:00Z","论文",10,false,66,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,20,16,13,9,1,"以Landsat NDVI与实地气温观测量化红树林降温效应，方法清晰、数据具体，但属单点单季案例，应用范围有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"气候适应","遥感监测","红树林","城市热环境","生态旅游",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"needs_review","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":14,"reason":56},[39,46,51],{"code":40,"score":41,"supported":42,"title":43,"abstract":44,"tags":45},"H7",4,true,[],[27],[27],{"code":47,"score":22,"supported":14,"title":48,"abstract":49,"tags":50},"H6",[],[],[29],{"code":52,"score":22,"supported":14,"title":53,"abstract":54,"tags":55},"I3",[],[],[28],"农业相关性需要复核",[58,59],"Wonorejo 红树林 NDVI 气温","红树林 冠层覆盖 遥感 气温","Wonorejo红树林NDVI气温-4240","10.48084\u002Fetasr.19268",{"doi":61,"openalex_id":63,"authors":64,"venue":10,"cited_by_count":79,"oa_url":80,"card":81,"direction":85,"ingested_from":87},"W7219808713",[65,67,70,73,76],{"name":66,"orcid":9},"Mohammad Agung Wahyudi Prasetyo",{"name":68,"orcid":69},"Muhammad Naufal Eka Putra","https:\u002F\u002Forcid.org\u002F0009-0001-8821-6070",{"name":71,"orcid":72},"Aulia Lanudia Fathah","https:\u002F\u002Forcid.org\u002F0009-0005-0443-5241",{"name":74,"orcid":75},"Berlania Mahardika Putri","https:\u002F\u002Forcid.org\u002F0009-0006-9898-3085",{"name":77,"orcid":78},"Andik Isdianto","https:\u002F\u002Forcid.org\u002F0000-0002-4808-7868",0,"https:\u002F\u002Fwww.etasr.com\u002Findex.php\u002FETASR\u002Farticle\u002Fdownload\u002F19268\u002F7117",{"tldr":82,"method":83,"finding":84,"direction":85,"opportunity":86},"该研究量化了红树林卫星冠层覆盖与实地气温的关系，发现NDVI越高气温越低。","整合Landsat 8\u002F9冠层制图与25个点实地气温观测，用线性回归分析。","NDVI与实地气温显著负相关（r=-0.648），红树林点气温低于非红树林点。","农业遥感与作物表型","可扩展至多时相、多区域验证，并耦合微气候模型探究红树林降温机制与规划应用。","openalex","2026-10-05T23:30:28.120699Z",{"total":90,"page":22,"page_size":90,"items":91},6,[92,157,224,281,354,416],{"id":93,"title":94,"url":95,"summary":96,"summary_zh":97,"content":9,"source_name":98,"source_url":95,"published_at":99,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":100,"score_detail":101,"sources":105,"tags":107,"primary_topic":9,"secondary_topics":111,"classification":112,"search_phrases":132,"slug":135,"view_count":79,"doi":136,"paper":137,"created_at":156},4689,"Landscape historic trough spatial changes of mangroves in Benin Coastal area (West-Africa) using random forest algorithm applied to Landsat images","https:\u002F\u002Fdoi.org\u002F10.52638\u002Frfpt.2026.736","Mangrove forests, recognized as the main ecosystem of coastal zones and providing various goods and services, are facing are facing increasing anthropogenic pressures and require continuous investigation. Ensuring the sustainable management of these ecosystems implies permanent monitoring of their dynamics. In line with this, the present study carried out on the mangrove forests of Benin (West-Africa) aimed to evaluate the effect of anthropic perturbation on their cover dynamics over the past four decades (including both Ramsar sites 1017 and 1018). The adopted method focused on remote sensing techniques using Landsat images acquired between 1986 and 2023. The Random Forest algorithm was used for image processing. Results revealed that whatever the period, the overall accuracy values obtained after post-classification analysis ranged from 84.56% to 96.52% indicating a correct image classification. From these results, a decline in mangrove cover was observed between 1986 and 2013 followed by an increase from 2013 to 2023. In Ramsar site 1017, mangroves lost about 61.90% (3261.06 ha) of their initial area from 1986 to 2000. Between 2000 and 2014, mangrove cover loss was negligible and estimated at 2.29% (59.04 ha). In contrast, from 2014 to 2023, mangroves experienced an increase estimated at about 16.66% (324.63 ha). The same trend was observed in Ramsar site 1018, with a loss of 31.12% (459.63 ha) and 27.44% (279.18 ha) respectively from 1986 to 2001 and from 2001 to 2013 followed by a gain estimated at 39.89% (279.18 ha) between 2013 and 2023. Landscape changes analysis revealed that regardless of the site or period, mangroves were mainly converted into meadow, other plant and water body (e.g. in Ramsar site 1017, from 1986 to 2001, about 568.26 ha of mangroves were converted into meadows, 33.66 ha into other plant, and 35.46 ha into water body). The principal changes observed in this study focused on Benin coastal zones confirm the vulnerability of mangrove forests facing anthropogenic pressure. Keywords: Mangrove, Dynamics, Remote sensing, Benin.","红树林被公认为海岸带的主要生态系统，提供多种商品和服务，正面临日益增加的人为压力，需要持续开展调查研究。确保这些生态系统的可持续管理意味着对其动态进行长期监测。据此，本研究针对贝宁（西非）的红树林开展，旨在评估人为干扰对其过去四十年（包括拉姆萨尔湿地1017和1018）覆盖动态的影响。所采用的方法侧重于利用1986年至2023年间获取的Landsat影像的遥感技术。采用随机森林（Random Forest）算法进行图像处理。结果表明，无论哪个时期，分类后分析获得的总体精度值介于84.56%至96.52%之间，表明图像分类正确。从这些结果来看，1986年至2013年间红树林覆盖面积下降，随后2013年至2023年间有所增加。在拉姆萨尔湿地1017中，1986年至2000年间红树林丧失了其初始面积的约61.90%（3261.06公顷）。2000年至2014年间，红树林覆盖损失可忽略不计，估计为2.29%（59.04公顷）。相比之下，2014年至2023年间，红树林增加了约16.66%（324.63公顷）。拉姆萨尔湿地1018也观察到相同趋势，1986年至2001年和2001年至2013年分别损失31.12%（459.63公顷）和27.44%（279.18公顷），随后2013年至2023年间增加了约39.89%（279.18公顷）。景观变化分析显示，无论哪个地点或时期，红树林主要转化为草地、其他植物和水体（例如在拉姆萨尔湿地1017中，1986年至2001年间，约568.26公顷红树林转化为草地，33.66公顷转化为其他植物，35.46公顷转化为水体）。本研究中观察到的贝宁海岸带主要变化证实了红树林面对人为压力的脆弱性。关键词：红树林，动态，遥感，贝宁。","Revue Française de Photogrammétrie et de Télédétection","2026-10-09T00:00:00Z",70,{"impact":102,"substance":18,"depth":103,"authority":20,"freshness":17,"relevant":22,"comment":104},12,17,"基于Landsat与随机森林的四十年红树林动态监测研究，方法成熟、数据翔实，对滨海湿地遥感监测有参考价值，但属区域案例研究，公共影响有限。",[106],{"name":98,"url":95},[108,28,109,29,110],"随机森林","土地利用变化","滨海湿地",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":113},{"candidates":114,"agricultural_evidence":14,"reason":56},[115,122,127],{"code":52,"score":116,"supported":42,"title":117,"abstract":118,"tags":121},7,[],[119,120],"遥感","remote sensing",[28],{"code":47,"score":123,"supported":14,"title":124,"abstract":125,"tags":126},2,[],[],[109,29],{"code":128,"score":22,"supported":14,"title":129,"abstract":130,"tags":131},"I2",[],[],[108],[133,134],"贝宁 红树林 遥感","Landsat 红树林 动态监测","贝宁红树林遥感-4689","10.52638\u002Frfpt.2026.736",{"doi":136,"openalex_id":138,"authors":139,"venue":98,"cited_by_count":79,"oa_url":150,"card":151,"direction":85,"ingested_from":87},"W7221179267",[140,142,144,146,148],{"name":141,"orcid":9},"Mahoutin Gildas Serge Zanvo",{"name":143,"orcid":9},"Nicolas DELBART",{"name":145,"orcid":9},"Paul PASSY",{"name":147,"orcid":9},"Kolawolé Valère Salako",{"name":149,"orcid":9},"Romain Glele-Kakai","https:\u002F\u002Frfpt.sfpt.fr\u002Findex.php\u002FRFPT\u002Farticle\u002Fdownload\u002F736\u002F528",{"tldr":152,"method":153,"finding":154,"direction":85,"opportunity":155},"利用随机森林与Landsat影像分析贝宁沿海红树林1986-2023年时空动态。","Landsat影像（1986-2023）结合随机森林分类与景观变化分析。","红树林先减后增，主要转为草甸、其他植被和水体，人为压力显著。","可结合多源遥感与驱动因子模型，探究红树林恢复的生态与社会机制。","2026-10-11T23:30:33.091927Z",{"id":158,"title":159,"url":160,"summary":161,"summary_zh":162,"content":9,"source_name":163,"source_url":160,"published_at":164,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":165,"score_detail":166,"sources":170,"tags":172,"primary_topic":176,"secondary_topics":181,"classification":182,"search_phrases":203,"slug":206,"view_count":123,"doi":207,"paper":208,"created_at":223},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":102,"substance":167,"depth":168,"authority":20,"freshness":21,"relevant":22,"comment":169},22,18,"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。",[171],{"name":163,"url":160},[173,27,28,174,175],"NDVI","干旱区农业","水资源安全",{"code":40,"slug":177,"name":178,"path":179,"parent_code":180},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":183,"locked":14,"version":35,"method":36,"evidence":184},"classified",{"candidates":185,"agricultural_evidence":42},[186,192,199],{"code":40,"score":19,"supported":42,"title":187,"abstract":189,"tags":191},[188],"climate resilience",[190,188],"干旱",[174,27],{"code":193,"score":90,"supported":42,"title":194,"abstract":195,"tags":198},"A8",[],[196,197],"粮食安全","food security",[],{"code":52,"score":123,"supported":14,"title":200,"abstract":201,"tags":202},[],[],[173,28],[204,205],"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":207,"openalex_id":209,"authors":210,"venue":163,"cited_by_count":79,"oa_url":217,"card":218,"direction":85,"ingested_from":87},"W7220949140",[211,214],{"name":212,"orcid":213},"Lakhdar Guérine","https:\u002F\u002Forcid.org\u002F0000-0003-0836-2703",{"name":215,"orcid":216},"Naîmi Bendouina","https:\u002F\u002Forcid.org\u002F0000-0002-9776-1660","http:\u002F\u002Fepubs.icar.org.in\u002Findex.php\u002FAAZ\u002Farticle\u002Fdownload\u002F177509\u002F68050",{"tldr":219,"method":220,"finding":221,"direction":85,"opportunity":222},"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":225,"title":226,"url":227,"summary":228,"summary_zh":229,"content":9,"source_name":230,"source_url":227,"published_at":99,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":231,"sources":233,"tags":235,"primary_topic":9,"secondary_topics":239,"classification":240,"search_phrases":255,"slug":258,"view_count":22,"doi":259,"paper":260,"created_at":280},4582,"Assessing mangrove sensitivity to thermal variations through a satellite-based analysis on the southern São Paulo coast, Brazil","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10661-026-16005-6","Abstract Mangroves near subtropical range limits may benefit from fewer cold constraints, yet warmer conditions can also increase atmospheric water demand. These competing possibilities were examined in the Cananéia-Iguape Coastal System, southeastern Brazil, by combining ERA5 2 m air temperature with MODIS normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and leaf area index (LAI). Air-temperature trends were assessed for 1979–2019 with the Mann-Kendall test and Sen’s slope. Temperature-vegetation associations were calculated for 2003–2019 from mangrove-wide means and from individual grid cells at annual, monthly, and fixed calendar-quarter scales. Mean annual air temperature increased by about 0.02 °C year⁻ 1 ; the highest quarter-scale rate occurred in July–September (0.03 °C year⁻ 1 ). Annual temperature correlated positively with NDVI ( r = 0.61, R 2 = 0.38, p = 0.009) and EVI ( r = 0.55, R 2 = 0.30, p = 0.022), whereas the LAI relationship was not significant ( r = 0.27, R 2 = 0.07, p = 0.304). The sign of the association changed within the year: NDVI and EVI were negative in July–September, while positive EVI and LAI relationships occurred in October-December. Significant grid-cell relationships occupied limited and discontinuous areas. The temperature record shows regional warming, whereas canopy associations vary among metrics, periods, and locations. Given the bivariate design and coarse ERA5 grid, these associations should not be interpreted as causal or as responses to temperature alone.","摘要 靠近亚热带分布界限的红树林可能受益于较少的低温限制，但更温暖的条件也可能增加大气水分需求。为检验这两种相互竞争的的可能性，本研究在巴西东南部的卡纳内亚-伊瓜佩海岸系统，将ERA5 2米气温数据与MODIS归一化差异植被指数（NDVI）、增强植被指数（EVI）和叶面积指数（LAI）相结合进行了分析。采用Mann-Kendall检验和Sen斜率法评估了1979—2019年的气温趋势。基于2003—2019年红树林全域均值及单个网格单元，在年、月和固定日历季度尺度上计算了气温-植被关联。年平均气温上升约0.02 °C yr⁻¹；季度尺度最高升温速率出现在7—9月（0.03 °C yr⁻¹）。年气温与NDVI呈正相关（r = 0.61，R² = 0.38，p = 0.009），与EVI也呈正相关（r = 0.55，R² = 0.30，p = 0.022），而与LAI的关系不显著（r = 0.27，R² = 0.07，p = 0.304）。关联方向在年内发生变化：NDVI和EVI在7—9月为负，而EVI和LAI的正相关关系出现在10—12月。显著的网格单元关系占据有限且不连续的区域。气温记录显示区域变暖，而冠层关联因指标、时段和地点而异。鉴于双变量设计和ERA5网格较粗，这些关联不应被解释为因果关系或仅对温度的响应。","Environmental Monitoring and Assessment",{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":232},"方法规范、结论审慎的区域性遥感研究，对农业信息化中的生态遥感监测有参考价值，但影响范围限于学术层面。",[234],{"name":230,"url":227},[236,28,237,29,238],"气候变化","植被指数","海岸带生态",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":241},{"candidates":242,"agricultural_evidence":14,"reason":56},[243,247,251],{"code":52,"score":123,"supported":14,"title":244,"abstract":245,"tags":246},[],[],[237,28],{"code":47,"score":22,"supported":14,"title":248,"abstract":249,"tags":250},[],[],[29],{"code":40,"score":22,"supported":14,"title":252,"abstract":253,"tags":254},[],[],[236],[256,257],"巴西 圣保罗 红树林 遥感","MODIS NDVI 红树林 温度","巴西圣保罗红树林遥感-4582","10.1007\u002Fs10661-026-16005-6",{"doi":259,"openalex_id":261,"authors":262,"venue":230,"cited_by_count":79,"oa_url":274,"card":275,"direction":85,"ingested_from":87},"W7220983448",[263,266,269,271],{"name":264,"orcid":265},"Jakeline Baratto","https:\u002F\u002Forcid.org\u002F0000-0003-0311-2369",{"name":267,"orcid":268},"Paulo Miguel De Bodas Terassi","https:\u002F\u002Forcid.org\u002F0000-0002-8184-0348",{"name":270,"orcid":9},"Nádia Gilma Beserra de Lima",{"name":272,"orcid":273},"Emerson Galvani","https:\u002F\u002Forcid.org\u002F0000-0002-8082-5963","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs10661-026-16005-6.pdf",{"tldr":276,"method":277,"finding":278,"direction":85,"opportunity":279},"结合气温与植被指数分析巴西东南部红树林对温度变化的敏感性。","ERA5气温与MODIS NDVI\u002FEVI\u002FLAI，用Mann-Kendall趋","区域增温，但植被与温度关联随指标、时段和地点变化，非因果。","可引入多源遥感与因果推断，探究亚热带红树林对增温的滞后与非线性响应。","2026-10-10T23:30:27.692383Z",{"id":282,"title":283,"url":284,"summary":285,"summary_zh":286,"content":9,"source_name":287,"source_url":284,"published_at":99,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":288,"score_detail":289,"sources":291,"tags":293,"primary_topic":297,"secondary_topics":298,"classification":299,"search_phrases":330,"slug":333,"view_count":22,"doi":334,"paper":335,"created_at":353},4560,"Assessment of Flood Impacts, Losses and Adaptation Practices in Bhajani Municipality, Kailali District, Nepal","https:\u002F\u002Fdoi.org\u002F10.3126\u002Futjliast.v2i3.101085","Floods are the most frequent and damaging hydro-meteorological hazard in the Terai region of Nepal, yet municipal-scale evidence that links hazard mapping, community perception, historical losses and local adaptation remains scarce. This study assesses flood impacts, losses, and adaptation practices in Bhajani Municipality, Kailali District, Sudurpashchim Province, a low-lying municipality with nine wards (176.25 km²) and crossed by the Mohana, Kandra, Kanda (Kadha), and Patharaiya rivers. A mixed-methods design combined a questionnaire survey of 156 respondents (Slovin’s formula, e = 8%), focus group discussions, in-depth interviews, field observation and desk review of the Local Disaster and Climate Resilience Plan (LDCRP). The Relative Importance Index (RII) was used to rank 16 flood-related problems, their causes and effects, and 12 adaptation measures rated on a five-point Likert scale; 64 Chi-square tests of independence examined whether perceptions differ by gender, age, occupation and education, and a GIS-based Weighted Multi-Criteria Decision Analysis (WMCDA) using distance from rivers (30%), Topographic Wetness Index (25%), slope (25%) and Height Above Nearest Drainage (20%) produced a flood hazard map. Wards 3, 5, 7 and 8 were classified as very high flood-risk areas, wards 6 and 9 as high, wards 1 and 2 as moderate and ward 4 as low–moderate; 85 settlements and hamlets are potentially exposed. Sixteen flood events recorded in municipal and community records affected 5,140 households, displaced 598 households, destroyed 188 houses, damaged about 1,695 bighas of cultivable land, caused an estimated loss of NPR 702.4 million and claimed 10 lives. Agriculture damage (RII = 0.863) and livestock damage (0.846) ranked as the most important problems. Non-compliance with flood-resistant building standards (0.914), waterlogging from slow runoff (0.891), insufficient investment in early warning systems (0.854) and weak institutional capacity (0.854) were the leading perceived causes, while displacement of local communities (0.905) and high livestock mortality (0.862) were leading effects. Perceptions were largely homogeneous: 62 of 64 tests (96.9%) showed no demographic association, with age linked only to views on public awareness and physical infrastructure. Strengthening river management and flood-control infrastructure (0.803) was the highest-rated adaptation measure, followed by climate-smart agriculture (0.760). A case study contrasts the slow-onset, long-duration Kandra floods with the rapid, short-warning Kadha flash floods. Flood risk in Bhajani is multidimensional, combining physical exposure, socio-economic vulnerability, infrastructure deficiencies, institutional weaknesses and climatic variability. Ward-prioritized embankment and drainage works, community-based early warning, enforcement of flood-resilient construction, climate-smart agriculture and ecosystem-based watershed management are recommended.","洪水是尼泊尔特莱地区最频繁且破坏性最强的水文气象灾害，然而，将灾害制图、社区感知、历史损失与地方适应相联系的市镇尺度证据仍然匮乏。本研究评估了苏杜尔帕希姆省凯拉利县巴贾尼市的洪水影响、损失与适应实践。该市地势低洼，下辖9个区（176.25平方公里），莫哈纳河、坎德拉河、坎达河（卡达河）和帕塔拉伊亚河穿境而过。研究采用混合方法设计，结合了156名受访者的问卷调查（Slovin公式，e = 8%）、焦点小组讨论、深度访谈、实地观察以及对《地方灾害与气候韧性计划》（LDCRP）的案头审查。采用相对重要性指数（RII）对16项洪水相关问题及其成因与影响、以及12项适应措施进行排序，评分采用五点李克特量表；通过64项卡方独立性检验考察感知是否因性别、年龄、职业和教育程度而异；并运用基于GIS的加权多准则决策分析（WMCDA），以距河流距离（30%）、地形湿度指数（25%）、坡度（25%）和距最近排水沟高度（20%）为因子，生成了洪水灾害图。第3、5、7和8区被划为极高洪水风险区，第6和9区为高风险区，第1和2区为中等风险区，第4区为低至中等风险区；85个居民点和村落可能受到影响。市镇和社区记录中记载的16次洪水事件共影响5，140户家庭，使598户家庭流离失所，摧毁188栋房屋，损坏约1，695比加耕地，造成约7.024亿尼泊尔卢比的估计损失，并导致10人丧生。农业损失（RII = 0.863）和牲畜损失（0.846）被列为最重要的问题。不遵守抗洪建筑标准（0.914）、径流缓慢导致的内涝（0.891）、预警系统投资不足（0.854）和机构能力薄弱（0.854）是主要的感知成因，而当地社区流离失所（0.905）和高牲畜死亡率（0.862）是主要影响。感知在很大程度上具有同质性：64项检验中有62项（96.9%）未显示人口统计学关联，年龄仅与对公众意识和物质基础设施的看法相关。加强河流管理和防洪基础设施（0.803）是评分最高的适应措施，其次是气候智慧型农业（0.760）。一项案例研究对比了缓发性","Universal Technical Journal of Lumbini International Academy of Science and Technology",61,{"impact":17,"substance":167,"depth":103,"authority":90,"freshness":17,"relevant":22,"comment":290},"尼泊尔市级洪水风险与农业损失实证研究，方法扎实数据翔实，但属境外地方案例，对国内三农信息化参考价值有限。",[292],{"name":287,"url":284},[27,28,294,295,296],"洪水风险","尼泊尔","农业减灾",{"code":40,"slug":177,"name":178,"path":179,"parent_code":180},[],{"status":183,"locked":14,"version":35,"method":36,"evidence":300},{"candidates":301,"agricultural_evidence":42},[302,307,314,320,326],{"code":40,"score":17,"supported":42,"title":303,"abstract":304,"tags":306},[],[188,305],"waterlogging",[27,294],{"code":308,"score":309,"supported":42,"title":310,"abstract":311,"tags":313},"C",3,[],[312],"livestock",[],{"code":315,"score":309,"supported":42,"title":316,"abstract":317,"tags":319},"I1",[],[318],"smart agriculture",[],{"code":321,"score":309,"supported":42,"title":322,"abstract":323,"tags":325},"I4",[],[324],"GIS",[],{"code":52,"score":22,"supported":14,"title":327,"abstract":328,"tags":329},[],[],[28],[331,332],"Bhajani Municipality 洪水风险","Kailali 农业损失 适应","BhajaniMunicipality洪水风险-4560","10.3126\u002Futjliast.v2i3.101085",{"doi":334,"openalex_id":336,"authors":337,"venue":287,"cited_by_count":79,"oa_url":284,"card":346,"direction":352,"ingested_from":87},"W7221076000",[338,340,342,344],{"name":339,"orcid":9},"Anesh Shrestha",{"name":341,"orcid":9},"Khet Raj Dahal",{"name":343,"orcid":9},"Sujeet Dhakal",{"name":345,"orcid":9},"Sagar Sedhain",{"tldr":347,"method":348,"finding":349,"direction":350,"opportunity":351},"评估尼泊尔Bhajani市洪水影响、损失与适应实践，并绘制洪水风险图。","混合方法：156份问卷、RII排序、卡方检验与GIS加权多准则决策分析。","第3、5、7、8区为极高风险；农业与牲畜损失最重，河流管理是最受认可的适应措施。","农业绿色发展与碳","可延伸至社区感知与GIS风险图耦合的适应策略优化，及气候智慧型农业的落地评估。","智慧农业 \u002F 农业物联网","2026-10-10T23:30:07.730161Z",{"id":355,"title":356,"url":357,"summary":358,"summary_zh":359,"content":9,"source_name":360,"source_url":357,"published_at":361,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":362,"score_detail":363,"sources":366,"tags":368,"primary_topic":9,"secondary_topics":372,"classification":373,"search_phrases":385,"slug":388,"view_count":123,"doi":389,"paper":390,"created_at":415},4229,"Spatiotemporal characteristics of vegetation responses to compound drought and heatwave events in Central Asia","https:\u002F\u002Fdoi.org\u002F10.1080\u002F15481603.2026.2741443","With climate warming intensifying, compound drought and heatwave (CDHW) events have become more frequent and intense in arid Central Asia, severely affecting vegetation growth. However, systematic quantitative assessments of vegetation responses and their drivers under such compound extremes remain limited. Using meteorological and remote sensing data, we identified growing-season CDHW events across Central Asia from 1982 to 2023. Integrating the Kernel normalized difference vegetation index (KNDVI) and the long-term continuous SIF-informed photosynthesis proxy (LCSPP), we established a vegetation response indicator system including total loss (LOSStot), maximum decline (DECmax), and time to decline (TIMEdec) to characterize vegetation damage. We further applied the XGBoost model and SHAP analysis to quantify the environmental driving effects and interactions. The results indicate that CDHW events increased significantly during 1982–2023, with heatwave frequency rising at 0.38 days yr−1 and an abrupt shift around 1996. High-frequency CDHW events were primarily concentrated in north-central Kazakhstan and northern Xinjiang, China, while their frequency and duration generally increased with latitude, indicating a pronounced northward enhancement pattern. CDHW caused larger vegetation losses than individual drought or heatwave events. Event duration was the most important environmental variable of LOSStot, with the highest mean SHAP value (0.140), while precipitation anomalies during events showed a strong association with rapid vegetation decline, with a direct path coefficient of 0.333 for DECmax. This study clarifies vegetation loss characteristics and key contributing factors under compound extremes in Central Asia, providing a scientific basis for ecological risk assessment and climate adaptation in arid regions.","随着气候变暖加剧，中亚干旱区复合干旱与热浪（CDHW）事件日趋频繁和强烈，严重影响了植被生长。然而，针对此类复合极端事件下植被响应及其驱动因素的系统性定量评估仍较为有限。本研究利用气象和遥感数据，识别了1982—2023年中亚生长季CDHW事件。通过整合核归一化植被指数（KNDVI）和长期连续SIF光合代理指标（LCSPP），构建了包含总损失（LOSStot）、最大下降幅度（DECmax）和下降时间（TIMEdec）的植被响应指标体系，以表征植被受损程度。进一步应用XGBoost模型和SHAP分析，量化了环境驱动效应及其交互作用。结果表明，1982—2023年间CDHW事件显著增加，热浪频率以0.38天\u002F年的速率上升，并在1996年前后发生突变。高频CDHW事件主要集中在哈萨克斯坦中北部和中国新疆北部，其频率和持续时间总体随纬度增加而增大，呈现出明显的向北增强格局。CDHW造成的植被损失大于单一干旱或热浪事件。事件持续时间是LOSStot最重要的环境变量，其平均SHAP值最高（0.140），而事件期间的降水异常与植被快速下降密切相关，其对DECmax的直接路径系数为0.333。本研究阐明了中亚复合极端事件下植被损失特征及关键影响因素，为干旱区生态风险评估和气候适应提供了科学依据。","GIScience & Remote Sensing","2026-10-04T00:00:00Z",80,{"impact":168,"substance":167,"depth":168,"authority":364,"freshness":17,"relevant":22,"comment":365},14,"基于1982—2023年遥感与气象数据量化中亚复合干旱热浪对植被的影响，方法新颖、结论可靠，对干旱区生态风险评估有参考价值。",[367],{"name":360,"url":357},[27,28,369,370,371],"中亚农业","干旱热浪","植被响应",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":374},{"candidates":375,"agricultural_evidence":14,"reason":56},[376,381],{"code":40,"score":168,"supported":42,"title":377,"abstract":379,"tags":380},[378],"drought",[27,190,378],[27],{"code":52,"score":116,"supported":42,"title":382,"abstract":383,"tags":384},[],[119,120],[28],[386,387],"中亚 复合干旱热浪 植被","KNDVI 植被损失 遥感","中亚复合干旱热浪植被-4229","10.1080\u002F15481603.2026.2741443",{"doi":389,"openalex_id":391,"authors":392,"venue":360,"cited_by_count":79,"oa_url":409,"card":410,"direction":85,"ingested_from":87},"W7219762973",[393,395,398,400,402,404,406],{"name":394,"orcid":9},"Manfeng Ding",{"name":396,"orcid":397},"Renping Zhang","https:\u002F\u002Forcid.org\u002F0009-0003-6271-2775",{"name":399,"orcid":9},"Jing Guo",{"name":401,"orcid":9},"Li Li",{"name":403,"orcid":9},"Feifei Niu",{"name":405,"orcid":9},"Yansong Li",{"name":407,"orcid":408},"Jinlong Gao","https:\u002F\u002Forcid.org\u002F0000-0003-1188-8271","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Fpdf\u002F10.1080\u002F15481603.2026.2741443?needAccess=true",{"tldr":411,"method":412,"finding":413,"direction":85,"opportunity":414},"量化中亚1982-2023年复合干旱热浪对植被的时空影响及驱动因素。","用KNDVI与SIF代理构建响应指标，结合XGBoost和SHAP分析。","复合事件致植被损失大于单一事件，事件时长最关键，降水异常驱动快速衰退。","可拓展至不同干旱区作物类型，构建复合极端事件植被风险预警模型。","2026-10-05T23:30:24.935545Z",{"id":417,"title":418,"url":419,"summary":420,"summary_zh":421,"content":9,"source_name":422,"source_url":419,"published_at":423,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":424,"score_detail":425,"sources":427,"tags":429,"primary_topic":9,"secondary_topics":432,"classification":433,"search_phrases":451,"slug":454,"view_count":22,"doi":455,"paper":456,"created_at":476},3852,"Rainfall–Surface Temperature Coupling and Compound Dry-Hot Persistence Across Northwestern Bangladesh: A 25-Year Multi-Sensor Earth Observation Analysis","https:\u002F\u002Fdoi.org\u002F10.11648\u002Fj.ajrs.20261402.17","Understanding how rainfall variability regulates land-surface thermal conditions is essential for climate-sensitive regions where water availability, vegetation dynamics, and heat stress interact. However, the temporal persistence and spatial heterogeneity of rainfall–surface temperature relationships remain insufficiently characterized in northwestern Bangladesh. This study integrates 25 years (2001–2025) of multi-source Earth observation data, including Terra MODIS land-surface temperature (MOD11A2), MODIS vegetation index (MOD13A2), and CHIRPS precipitation, to quantify pre-monsoon hydrothermal coupling across 16 districts of the Rajshahi and Rangpur divisions. A total of 275 quality-controlled 8-day March–May composites were analyzed using Mann–Kendall trend tests, Sen's slope estimation, fixed-effects distributed lag models, and a locally standardized compound dry-hot persistence indicator. Mean daytime land-surface temperature ranged from 27.93°C in Kurigram to 31.38°C in Chapai Nawabganj. No district exhibited a significant daytime land-surface temperature trend after false-discovery-rate correction, whereas NDVI increased significantly across all districts. The distributed-lag model showed that 10 mm of concurrent rainfall was associated with a 0.164°C lower daytime land-surface temperature (95% CI: −0.224 to −0.103°C), while rainfall during the preceding 8–16 days was associated with a weaker effect (−0.093°C per 10 mm). The 16–24-day rainfall effect was not significant. Rainfall sensitivity varied considerably among districts, ranging from −0.538°C per 10 mm in Rajshahi to −0.123°C per 10 mm in Lalmonirhat. These findings demonstrate that satellite-derived hydrothermal responses are spatially heterogeneous and highlight the value of multi-sensor Earth observation frameworks for identifying location-specific climate adaptation priorities.","理解降雨变率如何调控地表热状况，对于水资源可利用性、植被动态与热胁迫相互作用的气候敏感区至关重要。然而，在孟加拉国西北部，降雨—地表温度关系的时间持续性与空间异质性仍缺乏充分刻画。本研究整合了25年（2001—2025年）的多源地球观测数据，包括Terra MODIS地表温度（MOD11A2）、MODIS植被指数（MOD13A2）和CHIRPS降水数据，以量化拉杰沙希和朗布尔专区16个地区的季风前水热耦合关系。研究分析了275幅经质量控制、时间分辨率为8天的3—5月合成影像，采用Mann–Kendall趋势检验、Sen's斜率估计、固定效应分布滞后模型以及局部标准化的复合干热持续性指标。白天平均地表温度范围为库里格拉姆的27.93°C至杰拉伊纳瓦布甘杰的31.38°C。经错误发现率校正后，没有任何地区表现出显著的白天地表温度趋势，而所有地区的NDVI均显著增加。分布滞后模型显示，同期10 mm降雨与白天地表温度降低0.164°C相关（95% CI：−0.224至−0.103°C），而前8—16天的降雨效应较弱（每10 mm降低0.093°C）。16—24天的降雨效应不显著。降雨敏感性在各地区间差异显著，从拉杰沙希的每10 mm降低0.538°C到拉尔莫尼哈德的每10 mm降低0.123°C不等。这些发现表明，卫星反演的水热响应具有空间异质性，并凸显了多传感器地球观测框架在识别特定地点气候适应优先事项方面的价值。","American Journal of Remote Sensing","2026-09-28T00:00:00Z",69,{"impact":17,"substance":167,"depth":168,"authority":20,"freshness":17,"relevant":22,"comment":426},"基于25年多源遥感数据揭示孟加拉国西北部降水—地表温度耦合与干热复合持续性，方法扎实、结论具体，但属区域气候研究，对国内三农领域参考价值有限。",[428],{"name":422,"url":419},[430,27,28,370,431],"农业气象","作物植被",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":434},{"candidates":435,"agricultural_evidence":14,"reason":56},[436,441,447],{"code":40,"score":437,"supported":42,"title":438,"abstract":439,"tags":440},5,[],[27],[430,27],{"code":442,"score":309,"supported":42,"title":443,"abstract":444,"tags":446},"H3",[],[445],"水资源",[],{"code":52,"score":22,"supported":14,"title":448,"abstract":449,"tags":450},[],[],[28],[452,453],"孟加拉国 西北部 遥感 干旱","MODIS CHIRPS 地表温度 降水","孟加拉国西北部遥感干旱-3852","10.11648\u002Fj.ajrs.20261402.17",{"doi":455,"openalex_id":457,"authors":458,"venue":422,"cited_by_count":79,"oa_url":470,"card":471,"direction":85,"ingested_from":87},"W7214647936",[459,461,464,467],{"name":460,"orcid":9},"Nafia Muntakim",{"name":462,"orcid":463},"Md. Imran Hossain","https:\u002F\u002Forcid.org\u002F0009-0004-6856-9276",{"name":465,"orcid":466},"Zihad Ahmed","https:\u002F\u002Forcid.org\u002F0000-0002-5657-6258",{"name":468,"orcid":469},"Md. Mizanoor Rahman","https:\u002F\u002Forcid.org\u002F0000-0002-2049-9246","http:\u002F\u002Farticle.sciencepg.com\u002Fpdf\u002Fj.ajrs.20261402.17",{"tldr":472,"method":473,"finding":474,"direction":85,"opportunity":475},"基于25年多源遥感数据，量化孟加拉国西北部季风前降雨与地表温度的耦合及干热复合持续性。","MODIS地表温度与植被指数、CHIRPS降水，结合趋势检验、分布滞后模型和复合","降雨与地表温度呈负相关且空间异质，无显著升温趋势但NDVI普遍增加，干热复合持续存在。","可结合作物物候与灌溉数据，探究降雨-温度耦合对农业干旱风险的滞后影响及适应策略。","2026-09-30T23:30:32.426070Z"]