[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3083":3,"related-3083":82},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"search_phrases":31,"slug":34,"view_count":35,"doi":36,"paper":37,"created_at":81},3083,"Multi-index analysis reveals complexity of tundra greening and shrubification on Yamal Peninsula","https:\u002F\u002Fdoi.org\u002F10.1088\u002F2752-664x\u002Faea99e","Abstract Arctic vegetation cover is undergoing rapid structural and spatial change under a warming climate. Shrubification is a major component of these changes, whereby shrubs grow outwards and upwards, infilling existing patches and spreading into new areas. Satellite-derived vegetation indices (VIs), such as the Normalized Difference Vegetation Index (NDVI), show increasing trends across decades in many regions of the Arctic, a phenomenon referred to as greening, and interpreted as an indicator of compositional, structural, spatial and functional changes in vegetation. However, the direct contribution of shrubification on satellite-level greening remains poorly understood, partly due to the spectral limitations of single-index methods and the coarse spatial resolution of multi-decadal satellite records. Here we examine and compare the spatial patterns and magnitude of greening on Yamal Peninsula, Arctic Russia, measured with four commonly used vegetation indices derived from Landsat imagery (1987-2023): NDVI, Enhanced Vegetation Index 2 (EVI2), Soil-Adjusted Vegetation Index (SAVI), and kernel NDVI (kNDVI). We also examine how willow (Salix lanata) cover (%) relates to greening, using cover data derived from field observations, and Unoccupied Aerial Vehicle (UAV) and Very High Resolution WorldView 3 satellite imagery. Vegetation greened in 12–25% of the study area, driven primarily by vegetation regeneration on cryogenic landslides and possibly due to shrub expansion. However, greening magnitude was dependent on the VI selected, as they showed only a maximum of 54% similarity in spatial distribution. Uncertainty in the relationship between spectral greening and shrubification adds complexity to interpreting drivers of vegetation change, including how herbivory, for example by reindeer (Rangifer tarandusi), inhibits shrub expansion and how abiotic and other biotic influences may be detected by different or some combination of VIs. We demonstrate that decadal vegetation greenness changes have not been homogenous on Yamal Peninsula, with contrasting Salix-dominated areas responding differently to shared changes in climate, likely due to herbivore dynamics, soil effects, as well as microclimatic or topographical differences in the area.","摘要 在气候变暖背景下，北极植被覆盖正经历快速的结构和空间变化。灌木化是这些变化的主要组成部分，表现为灌木向外和向上生长，填充现有斑块并向新区域扩散。基于卫星的植被指数（VIs），如归一化差异植被指数（NDVI），在北极许多地区显示出数十年间的增长趋势，这一现象被称为绿化，并被解释为植被组成、结构、空间和功能变化的指标。然而，灌木化对卫星尺度绿化的直接贡献仍知之甚少，部分原因在于单一指数方法的光谱局限性以及多年代际卫星记录的空间分辨率较粗。本研究利用1987—2023年Landsat影像衍生的四种常用植被指数——NDVI、增强植被指数2（EVI2）、土壤调节植被指数（SAVI）和核NDVI（kNDVI）——考察并比较了俄罗斯北极亚马尔半岛绿化的空间格局和幅度。我们还利用野外观测、无人驾驶飞行器（UAV）和甚高分辨率WorldView 3卫星影像获得的覆盖度数据，研究了柳树（Salix lanata）覆盖度（%）与绿化的关系。研究区12%—25%的区域出现植被绿化，主要由低温滑坡上的植被再生驱动，也可能源于灌木扩张。然而，绿化幅度取决于所选用的植被指数，因为它们在空间分布上的相似性最高仅为54%。光谱绿化与灌木化之间关系的不确定性增加了解释植被变化驱动因素的复杂性，包括植食作用（例如驯鹿Rangifer tarandus的啃食）如何抑制灌木扩张，以及非生物和其他生物影响如何通过不同植被指数或其组合被检测到。我们证明，亚马尔半岛数十年尺度的植被绿度变化并非均一，以柳树为主的对比区域对共同的气候变化响应不同，这可能归因于植食动物动态、土壤效应以及该地区微气候或地形的差异。",null,"Environmental Research Ecology","2026-09-18T00:00:00Z","论文",10,false,69,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":22},8,22,18,13,1,"多指数遥感揭示北极苔原绿化与灌木扩张复杂性，方法新颖数据扎实，但属基础生态研究，与三农信息化关联间接，公共价值有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"气候变化","遥感监测","植被指数","北极苔原","灌木扩张",[32,33],"北极苔原 灌木扩张 遥感","北极苔原 植被指数 气候变化 灌木扩张","北极苔原灌木扩张遥感-3083",0,"10.1088\u002F2752-664x\u002Faea99e",{"doi":36,"openalex_id":38,"authors":39,"venue":10,"cited_by_count":35,"oa_url":73,"card":74,"direction":78,"ingested_from":80},"W7213598351",[40,43,46,48,50,53,56,59,62,65,67,70],{"name":41,"orcid":42},"Elias Koivisto","https:\u002F\u002Forcid.org\u002F0009-0007-6204-0963",{"name":44,"orcid":45},"Anton Kuzmin","https:\u002F\u002Forcid.org\u002F0000-0001-5066-5535",{"name":47,"orcid":9},"Logan Berner",{"name":49,"orcid":9},"Jeff T Kerby",{"name":51,"orcid":52},"Mariana Verdonen","https:\u002F\u002Forcid.org\u002F0000-0001-9780-0052",{"name":54,"orcid":55},"Anna Skarin","https:\u002F\u002Forcid.org\u002F0000-0003-3221-1024",{"name":57,"orcid":58},"Tiina H. M. Kolari","https:\u002F\u002Forcid.org\u002F0000-0003-0955-2402",{"name":60,"orcid":61},"Teemu Tahvanainen","https:\u002F\u002Forcid.org\u002F0000-0002-7856-299X",{"name":63,"orcid":64},"Pasi Korpelainen","https:\u002F\u002Forcid.org\u002F0009-0005-9956-6016",{"name":66,"orcid":9},"Miguel Villosada",{"name":68,"orcid":69},"Bruce C. Forbes","https:\u002F\u002Forcid.org\u002F0000-0002-4593-5083",{"name":71,"orcid":72},"Timo Kumpula","https:\u002F\u002Forcid.org\u002F0000-0002-2716-7420","https:\u002F\u002Fiopscience.iop.org\u002Farticle\u002F10.1088\u002F2752-664X\u002Faea99e\u002Fpdf",{"tldr":75,"method":76,"finding":77,"direction":78,"opportunity":79},"用四种植被指数分析亚马尔半岛苔原绿化，揭示灌木扩张与光谱绿化的复杂关系。","Landsat 1987-2023年NDVI、EVI2、SAVI、kNDVI及无","绿化面积12-25%，但不同指数空间分布相似度仅54%，灌木扩张与绿化关系不确定。","农业遥感与作物表型","多指数遥感可揭示植被变化的异质性，需结合地面与高分辨率数据解析生物与非生物驱动机制。","openalex","2026-09-21T23:30:27.685080Z",{"total":83,"page":21,"page_size":83,"items":84},6,[85,127,174,216,263,300],{"id":86,"title":87,"url":88,"summary":89,"summary_zh":90,"content":9,"source_name":91,"source_url":88,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":92,"sources":97,"tags":99,"search_phrases":103,"slug":106,"view_count":35,"doi":107,"paper":108,"created_at":126},3079,"Drought and Productivity Trends in Freshwater Flooded Forest Swamps in the North American Coastal Plain","https:\u002F\u002Fdoi.org\u002F10.64898\u002F2026.09.16.752089","Climate change has resulted in an increase in drought conditions within the southeastern United States, impacting a variety of ecosystems and species, including the freshwater flooded forest swamps of the North American Coastal Plain (NACP). With the threat of drought leading to a decline in wetlands and shifts in seasonality patterns in the NACP, there is significant concern about the effects of a drying climate on the net primary productivity of bald cypress-tupelo swamps and the potential for ecosystem degradation or conversion. This study seeks to understand the relationship between the net primary productivity of wetlands dominated by bald cypress-tupelo swamps and drought conditions. We used Moderate Resolution Imaging Spectroradiometer (MODIS) imagery from 2000 to 2024, taken from the 500 largest flooded forest swamps in the southeastern USA using Google Earth Engine, to track the changes in productivity of these swamps over time. The trends in MODIS Fraction of Absorbed Photosynthetically Active Radiation (FPAR), Normalized Difference Vegetation Index (NDVI), and Enhanced Vegetation Index (EVI) were compared against three common drought indices using seasonal decomposition and linear regression along with local bivariate spatial associations. We found that while there were small global correlations between drought and productivity metrics, the impact of droughts on these swamps is highly spatially variable, with specific geographical regions displaying differing impacts of drought and precipitation levels on the vegetation productivity. Coastal and southern regions, including the states of Texas, Florida, and Louisiana, are experiencing a decrease in precipitation but have mixed productivity trends. Meanwhile, more inland and coastal northern areas display an increase in precipitation and wetness. Overall, our results suggest that cypress-tupelo swamp productivity varies based on a variety of factors, including, but not limited to, precipitation and drought levels, but some areas may be at risk of further degradation due to drought under future climate change. Further research is encouraged to fully understand vegetation productivity in relation to environmental conditions in individual cypress-tupelo swamps.","气候变化导致美国东南部干旱状况加剧，影响了多种生态系统和物种，其中包括北美沿海平原（NACP）的淡水泛滥森林沼泽。随着干旱威胁导致湿地减少以及NACP季节性模式发生变化，人们对气候干化如何影响落羽杉-紫树沼泽的净初级生产力以及生态系统退化或转变的潜在风险深感担忧。本研究旨在理解以落羽杉-紫树沼泽为主的湿地净初级生产力与干旱状况之间的关系。我们利用Google Earth Engine获取了2000年至2024年期间美国东南部500个最大泛滥森林沼泽的中分辨率成像光谱仪（MODIS）影像，以追踪这些沼泽生产力随时间的变化。我们将MODIS光合有效辐射吸收比例（FPAR）、归一化差异植被指数（NDVI）和增强植被指数（EVI）的趋势与三种常用干旱指数进行比较，采用季节性分解和线性回归以及局部双变量空间关联方法。我们发现，尽管干旱与生产力指标之间存在较小的全局相关性，但干旱对这些沼泽的影响在空间上高度可变，特定地理区域在干旱和降水水平对植被生产力的影响方面表现出差异。沿海和南部地区，包括德克萨斯州、佛罗里达州和路易斯安那州，正在经历降水减少，但生产力趋势不一。与此同时，更内陆和沿海北部地区则显示降水和湿度增加。总体而言，我们的结果表明，落羽杉-紫树沼泽生产力受多种因素影响，包括但不限于降水和干旱水平，但在未来气候变化下，一些地区可能面临因干旱而进一步退化的风险。我们鼓励进一步研究，以充分理解单个落羽杉-紫树沼泽中植被生产力与环境条件的关系。","bioRxiv (Cold Spring Harbor Laboratory)",{"impact":93,"substance":94,"depth":95,"authority":93,"freshness":17,"relevant":21,"comment":96},12,20,17,"基于MODIS 2000-2024年长时序遥感数据评估干旱对北美柏树-图珀洛沼泽生产力的空间异质性影响，方法规范、数据规模大，对湿地生态遥感监测有参考价值，但属基础生态研究，与国内三农信息化直接关联有限。",[98],{"name":91,"url":88},[26,100,27,101,102],"NDVI","湿地生态","植被生产力",[104,105],"北美沿海平原 柏树湿地 干旱","MODIS NDVI 湿地生产力","北美沿海平原柏树湿地干旱-3079","10.64898\u002F2026.09.16.752089",{"doi":107,"openalex_id":109,"authors":110,"venue":91,"cited_by_count":35,"oa_url":120,"card":121,"direction":78,"ingested_from":80},"W7213557702",[111,114,117],{"name":112,"orcid":113},"Isabel Holland","https:\u002F\u002Forcid.org\u002F0000-0002-6416-7729",{"name":115,"orcid":116},"Kayla Stan","https:\u002F\u002Forcid.org\u002F0000-0002-2159-3090",{"name":118,"orcid":119},"Clay S. Tucker","https:\u002F\u002Forcid.org\u002F0000-0002-3283-171X","https:\u002F\u002Fwww.biorxiv.org\u002Fcontent\u002Fbiorxiv\u002Fearly\u002F2026\u002F09\u002F18\u002F2026.09.16.752089.full.pdf",{"tldr":122,"method":123,"finding":124,"direction":78,"opportunity":125},"用MODIS遥感追踪北美沿海平原500个沼泽林2000-2024年生产力与干旱关系。","MODIS FPAR\u002FNDVI\u002FEVI与三种干旱指数，季节分解、线性回归及双变量","干旱对沼泽生产力影响空间高度异质，沿海南部降水减少但生产力趋势不一。","可结合高分辨率遥感与地面通量数据，解析单个沼泽林生产力对干旱的非线性响应机制。","2026-09-21T23:30:27.308588Z",{"id":128,"title":129,"url":130,"summary":131,"summary_zh":132,"content":9,"source_name":133,"source_url":130,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":134,"score_detail":135,"sources":139,"tags":141,"search_phrases":145,"slug":148,"view_count":35,"doi":149,"paper":150,"created_at":173},2941,"Drought dynamics and climatic drivers in the Tarim Basin using remote sensing indices and pixel-wise machine learning","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-72142-5","Abstract Drought characterization in hyper-arid endorheic basins requires multi-index approaches that capture distinct hydrometeorological processes. This study investigates spatio-temporal drought dynamics in the Tarim Basin (TB)—China’s largest inland arid region—using two complementary remote sensing indices: the Temperature Vegetation Dryness Index (TVDI) for landscape-scale moisture and the Crop Water Stress Index (CWSI) for agricultural drought. Based on 2000–2024 remote sensing and meteorological data, we employed a pixel-wise Random Forest framework with spatial cross-validation and permutation importance analysis to quantify climatic drivers across the TB. Results reveal a fundamental “core-periphery” dichotomy: TVDI identifies persistent extreme drought in the Taklamakan Desert core, while CWSI reveals alleviating water stress in peripheral oasis farmlands (73.21% showing significant decrease, p \u003C 0.05). Despite regional warming-wetting trends, TVDI exhibited an insignificant decrease (54.72% of the basin), contrasting with CWSI's significant agricultural drought alleviation. Vapor Pressure Deficit (VPD)—a key atmospheric dryness indicator—exhibited high relative permutation importance for both drought indices (72–75%), considerably exceeding the values obtained for precipitation (6–8%) within the Tarim Basin. Secondary drivers diverge by land surface type: TVDI responds to Relative Humidity (8.2%) and Precipitation (6.1%), while CWSI is modulated by Land Surface Temperature (9.4%) and Sunshine Hours (7.8%). Partial correlation analyses controlling for topography and temperature confirm VPD’s independent effect on drought severity. Large-scale climate oscillations, particularly the Arctic Oscillation (AO) and ENSO-PDO interactions, significantly modulate interannual drought variability (r = 0.74–0.75, p \u003C 0.01). This study provides the first pixel-scale quantification of the relative dominance of atmospheric water demand over precipitation in driving drought evolution in the Tarim Basin, with VPD contributing 72–75% of the total permutation importance compared to 6–8% for precipitation. This quantitative benchmark offers actionable parameters for drought monitoring systems in arid regions and underscores the need to integrate VPD and large-scale climate signals into early warning frameworks.","摘要 极端干旱内流盆地的干旱特征刻画需要能够捕捉不同水文气象过程的多指标方法。本研究利用两个互补的遥感指数——用于景观尺度土壤湿度的温度植被干旱指数（TVDI）和用于农业干旱的作物水分胁迫指数（CWSI）——探讨了塔里木盆地（TB）——中国最大的内陆干旱区——干旱的时空动态。基于2000—2024年遥感与气象数据，我们采用逐像元随机森林框架，结合空间交叉验证和置换重要性分析，量化了塔里木盆地气候驱动因子的作用。结果揭示了一种根本性的“核心—边缘”二分格局：TVDI识别出塔克拉玛干沙漠核心区持续存在的极端干旱，而CWSI则显示外围绿洲农田的水分胁迫正在缓解（73.21%呈显著下降，p \u003C 0.05）。尽管区域呈现暖湿化趋势，TVDI却表现出不显著的下降（占流域面积的54.72%），这与CWSI所反映的农业干旱显著缓解形成对比。饱和水汽压差（VPD）——一个关键的大气干燥度指标——对两个干旱指数均表现出较高的相对置换重要性（72%—75%），远超塔里木盆地降水所对应的值（6%—8%）。次要驱动因子因地表类型而异：TVDI响应相对湿度（8.2%）和降水（6.1%），而CWSI受地表温度（9.4%）和日照时数（7.8%）调控。控制地形和温度后的偏相关分析证实了VPD对干旱严重程度的独立影响。大尺度气候振荡，尤其是北极涛动（AO）和ENSO-PDO相互作用，显著调控着年际干旱变率（r = 0.74—0.75，p \u003C 0.01）。本研究首次在像元尺度上量化了大气需水量相对于降水在驱动塔里木盆地干旱演变中的相对主导地位，其中VPD贡献了总置换重要性的72%—75%，而降水仅贡献6%—8%。这一定量基准为干旱区干旱监测系统提供了可操作的参数，并凸显了将VPD和大尺度气候信号纳入预警框架的必要性。","Scientific Reports",81,{"impact":19,"substance":136,"depth":19,"authority":137,"freshness":17,"relevant":21,"comment":138},23,14,"首次在像元尺度量化VPD对干旱的主导作用，方法新颖、数据跨度长，对干旱预警系统建设有实质参考价值。",[140],{"name":133,"url":130},[142,26,27,143,144],"农业遥感","干旱预警","塔里木盆地",[146,147],"塔里木盆地 遥感 干旱","TVDI CWSI 干旱监测","塔里木盆地遥感干旱-2941","10.1038\u002Fs41598-026-72142-5",{"doi":149,"openalex_id":151,"authors":152,"venue":133,"cited_by_count":35,"oa_url":130,"card":168,"direction":78,"ingested_from":80},"W7213539719",[153,155,157,159,162,164,166],{"name":154,"orcid":9},"Mutallip Sattar",{"name":156,"orcid":9},"Alim Abbas",{"name":158,"orcid":9},"Sardar Parhat",{"name":160,"orcid":161},"Alimujiang Yasen","https:\u002F\u002Forcid.org\u002F0000-0002-9860-7921",{"name":163,"orcid":9},"Muhemaiti Wahafu",{"name":165,"orcid":9},"Akida Salam",{"name":167,"orcid":9},"Batur Bake",{"tldr":169,"method":170,"finding":171,"direction":78,"opportunity":172},"基于遥感指数与逐像元机器学习，量化塔里木盆地2000—2024年干旱动态及气候驱动因子。","TVDI与CWSI双指数，逐像元随机森林、空间交叉验证与置换重要性分析。","干旱呈核心—边缘分异，VPD贡献72–75%远超降水的6–8%，主导干旱演变。","可将VPD与大尺度气候振荡纳入干旱预警，并拓展至其他干旱内陆盆地的逐像元归因研究。","2026-09-19T23:30:32.698746Z",{"id":175,"title":176,"url":177,"summary":178,"summary_zh":179,"content":9,"source_name":180,"source_url":177,"published_at":181,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":182,"score_detail":183,"sources":185,"tags":187,"search_phrases":191,"slug":194,"view_count":35,"doi":195,"paper":196,"created_at":215},2769,"Climate change impacts and resilience pathways in somalia through a systematic review","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs42452-026-09538-5","Somalia is among the most climate-vulnerable countries worldwide, characterized by predominantly arid and semi-arid regions increasingly affected by recurrent droughts, irregular precipitation, rising temperatures, land degradation, and water scarcity, all of which compromise livelihoods, food security, and socio-economic stability. This study addresses the limited synthesis of recent, spatially explicit evidence on climate change impacts in Somalia by bringing together current literature and institutional reports to analyze the effects of climate change and identify adaptation and resilience strategies The review is entirely desk-based and utilizes 30 secondary data articles from reputable sources such as FAO-SWALIM, the World Bank, ICPAC, FSNAU, USAID, and peer-reviewed research articles from Scopus and web of science published from 2008 to 2025. The results showed that over 60% of Somalia’s territory is categorized as arid or hyper-arid, with the southern parts seeing the most acute soil erosion and environmental deterioration. Significant drought occurrences, especially in 2010–2011 and 2016–2017, were greatly impacted by extensive climatic factors including ENSO and the Indian Ocean Dipole. Climate variability has resulted in reduced crop yields, pasture degradation, livestock mortality, persistent water shortages, and extensive food insecurity, while inadequate governance, restricted climate financing, and deficient early-warning and monitoring systems hinder effective adaptation. The review emphasizes that climate change presents a systemic threat to Somalia’s environmental and livelihood systems, highlighting the necessity for integrated, spatially informed strategies that incorporate GIS-based environmental monitoring, sustainable land and water management, climate-smart agriculture, strengthened institutions, and enhanced access to climate finance to support long-term resilience and sustainable development.","索马里是全球最易受气候变化影响的国家之一，其国土以干旱和半干旱地区为主，日益受到反复出现的干旱、降水不规律、气温上升、土地退化及水资源短缺的影响，这些问题共同威胁着生计、粮食安全和社会经济稳定。本研究针对索马里气候变化影响近期空间明确证据综合不足的问题，汇集当前文献和机构报告，分析气候变化的影响并识别适应与韧性策略。本综述完全基于案头研究，使用了来自FAO-SWALIM、世界银行、ICPAC、FSNAU、USAID等知名来源的30篇二手数据文献，以及2008年至2025年间发表于Scopus和Web of Science的同行评审研究论文。结果表明，索马里超过60%的领土被归类为干旱或极度干旱，南部地区土壤侵蚀和环境退化最为严重。重大干旱事件，尤其是2010—2011年和2016—2017年的干旱，受到包括厄尔尼诺-南方涛动（ENSO）和印度洋偶极子（IOD）在内的广泛气候因素的显著影响。气候变率导致作物减产、牧场退化、牲畜死亡、持续的水资源短缺和大范围的粮食不安全，而治理不足、气候融资受限以及预警和监测系统薄弱则阻碍了有效适应。本综述强调，气候变化对索马里的环境和生计系统构成系统性威胁，凸显了采取综合性、空间信息化策略的必要性，这些策略应包括基于GIS的环境监测、可持续土地和水资源管理、气候智慧型农业、强化制度以及增强气候融资渠道，以支持长期韧性和可持续发展。","Discover Applied Sciences","2026-09-16T00:00:00Z",76,{"impact":19,"substance":94,"depth":95,"authority":20,"freshness":17,"relevant":21,"comment":184},"系统综述整合2008-2025年30篇文献，揭示索马里干旱与粮食安全影响并提出GIS监测与气候智慧农业等韧性路径，对干旱区农业信息化有参考价值。",[186],{"name":180,"url":177},[188,26,189,27,190],"粮食安全","气候智慧农业","干旱监测",[192,193],"气候智慧农业 干旱监测 气候变化 粮食安全","气候智慧农业 干旱监测","气候智慧农业干旱监测气候变化粮食安全-2769","10.1007\u002Fs42452-026-09538-5",{"doi":195,"openalex_id":197,"authors":198,"venue":180,"cited_by_count":35,"oa_url":177,"card":208,"direction":214,"ingested_from":80},"W7213257664",[199,201,203,206],{"name":200,"orcid":9},"Abdiaziz Hassan Nur",{"name":202,"orcid":9},"Mohamed Osman Abdulkadir",{"name":204,"orcid":205},"Omar Ali","https:\u002F\u002Forcid.org\u002F0009-0001-3009-1850",{"name":207,"orcid":9},"Ahmed Sodal Asir",{"tldr":209,"method":210,"finding":211,"direction":212,"opportunity":213},"系统综述索马里气候变化影响与韧性路径，基于30篇文献与机构报告。","文献综述，采用FAO-SWALIM、世行等2008-2025年30篇二手数据。","超60%国土干旱，干旱致减产、缺水与粮食不安全，治理与预警不足阻碍适应。","农业绿色发展与碳","可结合GIS与遥感构建索马里干旱预警和气候智慧型农业适应决策模型。","智慧农业 \u002F 农业物联网","2026-09-17T23:30:10.557669Z",{"id":217,"title":218,"url":219,"summary":220,"summary_zh":221,"content":9,"source_name":222,"source_url":219,"published_at":223,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":224,"score_detail":225,"sources":228,"tags":230,"search_phrases":233,"slug":236,"view_count":35,"doi":237,"paper":238,"created_at":262},2674,"Bi-decadal drought assessment in Northwestern Algeria: Integrating meteorological and remote sensing indices","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00704-026-06526-y","Abstract Drought is an escalating hazard in arid and semi‑arid regions with significant implications for agriculture, ecosystems, and water resources. This study presents a 2003–2023 integrated assessment of meteorological and vegetation-based drought across northwest Algeria, using the Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset and Moderate Resolution Imaging Spectroradiometer (MODIS) remotely‑sensed products. Meteorological drought was quantified with the Standardized Precipitation Index (SPI) approximated using standardized precipitation anomalies, at 3‑, 6‑, and 12‑month timescales, whereas vegetation and thermal stress were assessed with MODIS‑derived Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI). Temporal trends were evaluated using the Mann–Kendall test and Sen’s slope estimator, and relationships between precipitation and vegetation were examined with Pearson correlation. We identified recurrent drought episodes in 2007–2009, 2011–2012, and a pronounced dry phase from 2020–2023. Mann–Kendall results indicated widespread drying across all SPI timescales, with 56% of the study area showing significant negative trends at SPI‑3 (mean Sen’s slope = − 0.10 yr⁻ 1 ). Vegetation indices mirrored these changes, with VHI showing substantially more degraded area than improvement (4.89% vs 0.51% of the domain), while VCI and TCI responses were spatially heterogeneous. The correlation analysis showed moderate but statistically significant relationships between SPI and VHI at the short-term scale (SPI-3 vs. VHI, r = 0.567, p = 0.007), followed by SPI-6 ( r = 0.509, p = 0.019), indicating that vegetation response is more strongly associated with short- to medium-term precipitation variability. These results demonstrate the value of combining meteorological and satellite vegetation indices for regional drought monitoring and early warning, and underscore an ongoing shift toward increased aridity with implications for water management and agricultural adaptation.","摘要 干旱是干旱和半干旱地区日益加剧的灾害，对农业、生态系统和水资源具有重大影响。本研究利用气候灾害组红外降水与站点数据（CHIRPS）数据集和中分辨率成像光谱仪（MODIS）遥感产品，对阿尔及利亚西北部2003—2023年气象干旱和基于植被的干旱进行了综合评估。气象干旱采用标准化降水指数（SPI）量化，该指数通过标准化降水距平在3个月、6个月和12个月时间尺度上近似计算；植被和热胁迫则通过MODIS衍生的植被状态指数（VCI）、温度状态指数（TCI）和植被健康指数（VHI）进行评估。采用Mann–Kendall检验和Sen斜率估计器评估时间趋势，并使用Pearson相关分析检验降水与植被之间的关系。我们识别出2007—2009年、2011—2012年的反复干旱事件，以及2020—2023年显著的干旱阶段。Mann–Kendall结果表明，所有SPI时间尺度上均呈现大范围干旱化趋势，研究区56%的面积在SPI-3上表现出显著负趋势（Sen斜率均值 = −0.10 yr⁻¹）。植被指数反映了这些变化，VHI显示退化面积远大于改善面积（分别占研究区的4.89%和0.51%），而VCI和TCI的响应在空间上具有异质性。相关分析表明，SPI与VHI在短期尺度上存在中等但统计显著的关系（SPI-3与VHI，r = 0.567，p = 0.007），其次为SPI-6（r = 0.509，p = 0.019），表明植被响应与短期至中期降水变率的关系更为密切。这些结果证明了结合气象指标和卫星植被指数进行区域干旱监测与预警的价值，并凸显了干旱化持续加剧的趋势及其对水资源管理和农业适应的影响。","Theoretical and Applied Climatology","2026-09-15T00:00:00Z",71,{"impact":93,"substance":226,"depth":95,"authority":20,"freshness":17,"relevant":21,"comment":227},21,"基于CHIRPS与MODIS的阿尔及利亚西北部20年干旱综合评估，方法整合气象与遥感指标，结论对区域干旱监测与农业适应有参考价值，但属境外区域研究，国内产业影响有限。",[229],{"name":222,"url":219},[231,232,27,28,143],"农业气象","水资源管理",[234,235],"水资源管理 农业气象 干旱预警 植被指数","水资源管理 农业气象","水资源管理农业气象干旱预警植被指数-2674","10.1007\u002Fs00704-026-06526-y",{"doi":237,"openalex_id":239,"authors":240,"venue":222,"cited_by_count":35,"oa_url":219,"card":257,"direction":78,"ingested_from":80},"W7213346236",[241,244,247,250,252,255],{"name":242,"orcid":243},"Ramzi Benhizia","https:\u002F\u002Forcid.org\u002F0000-0002-8967-2051",{"name":245,"orcid":246},"Brahim Abdelkebir","https:\u002F\u002Forcid.org\u002F0000-0002-8761-8537",{"name":248,"orcid":249},"Behnam Ata","https:\u002F\u002Forcid.org\u002F0000-0002-9690-7269",{"name":251,"orcid":9},"Mukovhe Vele Singo",{"name":253,"orcid":254},"Kwanele Phinzi","https:\u002F\u002Forcid.org\u002F0000-0003-1865-7011",{"name":256,"orcid":9},"György Szabó",{"tldr":258,"method":259,"finding":260,"direction":78,"opportunity":261},"整合气象与遥感指数评估阿尔及利亚西北部2003–2023年干旱演变。","CHIRPS降水与MODIS植被指数，SPI、VCI、TCI、VHI，Mann-","全区普遍变干，SPI-3显著负趋势占56%，VHI退化面积远大于改善，短期降水与植被相关性最强。","可引入机器学习融合多源遥感与气象数据，构建区域干旱预警与作物适应性决策模型。","2026-09-16T23:30:30.795285Z",{"id":264,"title":265,"url":266,"summary":267,"summary_zh":268,"content":9,"source_name":269,"source_url":266,"published_at":223,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":270,"score_detail":271,"sources":274,"tags":276,"search_phrases":279,"slug":282,"view_count":35,"doi":283,"paper":284,"created_at":299},2665,"Assessing historical climatic impacts on wetland change using satellite imagery: a transferable framework demonstrated on the Texas coast","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffmars.2026.1911273","Coastal wetlands provide critical ecosystem services worldwide but are increasingly threatened by climate-driven stressors, including sea-level rise, coastal flooding, drought, wave erosion, and extreme temperature events. Long-term, spatially consistent monitoring is needed to quantify wetland transformation and identify ecosystems most vulnerable to these stressors. The objective of the study was to develop tools that harmonize historical Landsat (5, 7, 8, 9) and Sentinel (1, 2) satellite datasets to map wetlands and identify wetland areas most vulnerable to climate-driven stress, while being readily transferable to other coastal regions. The Texas Coastal Bend Region is presented as a case study to demonstrate the utility of these tools in evaluating wetland change. To do this, the Multi Decadal Wetland Extent Tool (WET-MUD) was developed in Google Earth Engine, along with the Wetland Health Analysis: Multi-Source (WHAMS). WET-MUD is a semi-automated wetland classification tool that produces annual maps with pixels classified as wetland, upland, or water from 1984 to 2024. WHAMS is a Google Earth Engine tool and framework that evaluates changes to wetland plant health (using Normalized Difference Vegetation Index (NDVI) as a proxy) at a monthly level for the 41-year period of record. Total classification accuracy for the Coastal Bend Region of Texas averaged 93% for the 40-year study period, and wetland pixel classification averaged 82%. Annual wetland extent maps show that since 1984, the region has experienced approximately 193 km 2 of net wetland loss, representing 17% of the initial wetland extent, with most of these losses (95%) occurring between 2008 and 2016. Analyses of NDVI for wetland areas show that 43 km 2 of coastal palustrine (low-lying, freshwater) wetlands were especially sensitive to repeated drought events (2008-2010, 2011-2015), representing 22% of the total coastal wetland losses. The publicly available tools developed in this study provide insight into wetland resilience by rapidly measuring both wetland extents and health at a regional, multi-decadal scale in a way that can be reproduced for areas beyond the Coastal Bend of Texas.","沿海湿地为全球提供关键的生态系统服务，但日益受到气候驱动压力的威胁，包括海平面上升、海岸洪水、干旱、波浪侵蚀和极端温度事件。需要长期、空间一致的监测来量化湿地变化并识别最易受这些压力影响的生态系统。本研究的目标是开发工具，以协调历史Landsat（5、7、8、9）和Sentinel（1、2）卫星数据集，从而绘制湿地分布图并识别最易受气候驱动压力影响的湿地区域，同时能够方便地推广到其他沿海地区。本文以德克萨斯州沿海湾岸地区为案例研究，展示这些工具在评估湿地变化方面的实用性。为此，在Google Earth Engine中开发了多年代际湿地范围工具（WET-MUD），以及湿地健康分析：多源工具（WHAMS）。WET-MUD是一种半自动化湿地分类工具，可生成1984年至2024年期间像元被分类为湿地、高地或水体的年度地图。WHAMS是一个Google Earth Engine工具和框架，用于在41年记录期内按月评估湿地植物健康状况的变化（以归一化差异植被指数（NDVI）作为代理指标）。在40年研究期内，德克萨斯州沿海湾岸地区的总分类精度平均为93%，湿地像元分类精度平均为82%。年度湿地范围地图显示，自1984年以来，该地区经历了约193 km²的净湿地损失，占初始湿地范围的17%，其中大部分损失（95%）发生在2008年至2016年间。对湿地区域NDVI的分析表明，43 km²的沿海沼泽湿地（低洼淡水湿地）对反复干旱事件（2008-2010年、2011-2015年）尤为敏感，占沿海湿地总损失的22%。本研究开发的公开可用工具通过快速测量区域多年代际尺度上的湿地范围和健康状况，为理解湿地恢复力提供了见解，其方法可在德克萨斯州沿海湾岸以外的地区重现。","Frontiers in Marine Science",80,{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":272,"relevant":21,"comment":273},9,"基于Landsat与Sentinel长时序影像构建可迁移湿地制图与健康评估框架，方法新颖、数据规模大，对沿海湿地监测与农业生态信息化有参考价值。",[275],{"name":269,"url":266},[142,26,27,277,278],"湿地保护","海岸带",[280,281],"农业遥感 气候变化 湿地保护 遥感监测","农业遥感 气候变化","农业遥感气候变化湿地保护遥感监测-2665","10.3389\u002Ffmars.2026.1911273",{"doi":283,"openalex_id":285,"authors":286,"venue":269,"cited_by_count":35,"oa_url":293,"card":294,"direction":78,"ingested_from":80},"W7213245622",[287,289,291],{"name":288,"orcid":9},"John Malito",{"name":290,"orcid":9},"Vanessa Valenti",{"name":292,"orcid":9},"Katie Swanson","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fmarine-science\u002Farticles\u002F10.3389\u002Ffmars.2026.1911273\u002Fpdf",{"tldr":295,"method":296,"finding":297,"direction":78,"opportunity":298},"开发可迁移框架，用卫星影像评估历史气候对湿地变化的影响。","Google Earth Engine中构建WET-MUD和WHAMS工具，融合","1984-2024年德州海岸湿地净损失193 km²，95%发生在2008-2016年，淡水湿地对干","可将该可迁移框架应用于其他沿海湿地，结合气候数据量化不同压力源的贡献。","2026-09-16T23:30:29.083410Z",{"id":301,"title":302,"url":303,"summary":304,"summary_zh":305,"content":9,"source_name":306,"source_url":303,"published_at":307,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":308,"score_detail":309,"sources":311,"tags":313,"search_phrases":316,"slug":319,"view_count":35,"doi":320,"paper":321,"created_at":336},2429,"Türkiye’de durağan orman alanlarında 2001 ve 2025 yılları arasında yer yüzey fenolojilerindeki değişimlerin incelenmesi","https:\u002F\u002Fdoi.org\u002F10.53516\u002Fajfr.1970696","Giriş ve Hedefler Orman alanlarındaki yer yüzey fenolojilerinin (YYF) değişiminin izlenmesi iklim değişikliğine uyum ve sürdürülebilir doğal kaynak yönetimi açısından oldukça önemlidir. Bu çalışmada Türkiye’de bulunan durağan orman alanlarındaki 2001-2025 yılları arasında YYF parametreleri 250 m çözünürlüklü MODIS uydu görüntülerinden hesaplanan normalize fark bitki indeksi (NDVI) yardımıyla incelenmiştir. Yöntemler CORINE arazi örtüsü ve Hansen orman kaybı verileriyle belirlenen durağan geniş yapraklı (GY), iğne yapraklı (İY) ve karışık (KA) orman alanlarında yaklaşık iki milyon piksel analiz edilmiştir. Ham NDVI zaman serileri Whittaker filtresi ve çift lojistik regresyonla yeniden oluşturulmuştur. Büyüme mevsimi başlangıcı (BMB), büyüme mevsimi sonu (BMS), büyüme mevsimi uzunluğu (BMU), büyüme mevsimi zirve günü (BMZ), zirve NDVI (zNDVI) ve fenolojik eğri alanı (FEA) parametreleri dinamik mevsimsel genlik yöntemiyle hesaplanmıştır. Trendler Mann-Kendall ve Sen’s slope yöntemleriyle değerlendirilmiştir. YYF parametrelerinin iklim koşullarıyla ilişkisi mevsimsel ortalama sıcaklık ve toplam yağış değişkenleriyle korelasyon analizi yapılarak değerlendirilmiştir. Bulgular GY\u002FİY\u002FKA sınıflarında yılın günü biriminde (day of year), ortalama BMB 105\u002F94\u002F99, BMS 299\u002F298\u002F302, BMU 194\u002F204\u002F203 ve BMZ 186\u002F197\u002F193 olarak bulunmuştur. Büyüme mevsimi evrelerine ilişkin YYF parametrelerinde anlamlı trend oranları görece sınırlı kalırken, zNDVI ve FEA’da sırasıyla %52 ve %27 oranında anlamlı pozitif trend belirlenmiştir. İY ve KA ormanlarda BMS ilerleme eğilimi gösterirken, GY ormanlarda BMS’nin erkene kayması dikkat çekmektedir. YYF parametrelerinin özellikle mevsimsel sıcaklık koşullarıyla yakından ilişkili olduğu görülmüştür.","引言与目标：监测森林区域地表物候（YYF）变化，对于适应气候变化和可持续自然资源管理具有重要意义。本研究利用250 m分辨率的MODIS卫星影像计算归一化植被指数（NDVI），分析了土耳其稳定森林区域2001—2025年间的地表物候参数。方法：基于CORINE土地覆盖数据和Hansen森林损失数据确定的稳定阔叶林（GY）、针叶林（İY）和混交林（KA）区域，分析了约200万个像元。原始NDVI时间序列通过Whittaker滤波和双逻辑斯蒂回归重建。生长季始期（BMB）、生长季末期（BMS）、生长季长度（BMU）、生长季峰值日（BMZ）、峰值NDVI（zNDVI）和物候曲线面积（FEA）参数采用动态季节振幅法计算。趋势采用Mann-Kendall和Sen’s slope方法评估。地表物候参数与气候条件的关系通过其与季节平均气温和总降水量变量的相关分析进行评估。结果：在GY\u002FİY\u002FKA类别中，以年积日（day of year）为单位，平均BMB分别为105\u002F94\u002F99，BMS分别为299\u002F298\u002F302，BMU分别为194\u002F204\u002F203，BMZ分别为186\u002F197\u002F193。生长季各阶段的地表物候参数中显著趋势比例相对有限，而zNDVI和FEA中分别检测到52%和27%的显著正趋势。İY和KA森林中BMS呈推迟趋势，而GY森林中BMS提前值得关注。地表物候参数尤其与季节性温度条件密切相关。","Anadolu Orman Araştırmaları Dergisi","2026-09-11T00:00:00Z",65,{"impact":17,"substance":94,"depth":95,"authority":93,"freshness":17,"relevant":21,"comment":310},"基于MODIS NDVI长时序数据对土耳其稳定林地的植被物候变化进行量化分析，方法规范、数据规模大，属遥感生态监测领域，但与国内三农及农业信息化主题关联较弱，公共价值有限。",[312],{"name":306,"url":303},[26,100,27,314,315],"森林生态","植被物候",[317,318],"森林生态 植被物候 气候变化 遥感监测","森林生态 植被物候","森林生态植被物候气候变化遥感监测-2429","10.53516\u002Fajfr.1970696",{"doi":320,"openalex_id":322,"authors":323,"venue":306,"cited_by_count":35,"oa_url":330,"card":331,"direction":78,"ingested_from":80},"W7212250137",[324,327],{"name":325,"orcid":326},"Ömer Faruk Atiz","https:\u002F\u002Forcid.org\u002F0000-0001-6180-7121",{"name":328,"orcid":329},"Süleyman Savaş DURDURAN","https:\u002F\u002Forcid.org\u002F0000-0003-0509-4037","https:\u002F\u002Fdergipark.org.tr\u002Ftr\u002Fdownload\u002Farticle-file\u002F6108437",{"tldr":332,"method":333,"finding":334,"direction":78,"opportunity":335},"分析土耳其稳定森林2001-2025年地表物候变化，基于MODIS NDVI数据。","MODIS NDVI、Whittaker滤波、双逻辑回归、Mann-Kendal","zNDVI和FEA显著正趋势，阔叶林生长季结束提前，针叶林和混交林推迟。","可结合多源遥感与气候数据，探究森林物候对极端气候事件的响应机制。","2026-09-14T23:30:26.111459Z"]