[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3082":3,"related-3082":110},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"search_phrases":32,"slug":35,"view_count":36,"doi":37,"paper":38,"created_at":109},3082,"The PSInet Plant Water Potential Database: advancing new perspectives on plant water status, traits, and hydraulic processes","https:\u002F\u002Fdoi.org\u002F10.64898\u002F2026.09.17.752364","Water potential gradients drive water flow within and between soils and plants, and the internal plant water potential controls a wide range of physiological processes including photosynthesis, growth, and mortality. Notwithstanding this clear relevance for many critical aspects of ecosystem function, water potential data have historically been relatively inaccessible and unnetworked. The absence of a centralized repository for plant water potential time series limits our ability to integrate a wealth of ecophysiological information from other networks and from remote sensing. Closing this gap is necessary to address unresolved questions about plant responses to drought and heat stress, and to make confident predictions about plant and ecosystem function in a warming world. Here, we introduce the PSInet database -- a global collection of plant water potential time series from 285 datasets representing 523 species. We present the workflow that guided database development and evaluate its key features. Through a series of preliminary analyses, we then highlight the potential of the PSInet database for applications including: a) advancing plant water use strategy frameworks; b) disentangling the impacts of soil versus atmospheric drought stress; c) assessing the long-held assumption of pre-dawn equilibration of ecosystem water potential; d) understanding the risk of drought-driven mortality; and e) benchmarking remote-sensing data products and land-surface models.","水势梯度驱动着土壤与植物内部及二者之间的水分流动，而植物内部水势调控着包括光合作用、生长和死亡在内的一系列广泛生理过程。尽管水势数据与生态系统功能的诸多关键方面明显相关，但此类数据历来相对难以获取且缺乏网络化整合。植物水势时间序列缺乏集中式存储库，这限制了我们整合来自其他网络和遥感手段的大量生态生理信息的能力。弥合这一差距对于解答有关植物对干旱和热胁迫响应的未解问题，以及在全球变暖背景下对植物和生态系统功能作出可靠预测，都是必要的。在此，我们介绍PSInet数据库——一个全球性的植物水势时间序列集合，涵盖285个数据集、523个物种。我们展示了指导数据库开发的工作流程，并评估了其关键特征。通过一系列初步分析，我们进而凸显了PSInet数据库在以下应用方面的潜力：a) 推进植物水分利用策略框架；b) 区分土壤干旱胁迫与大气干旱胁迫的影响；c) 评估长期以来的生态系统水势黎明前平衡假设；d) 理解干旱驱动死亡的风险；以及e) 为遥感数据产品和陆面模型提供基准验证。",null,"bioRxiv (Cold Spring Harbor Laboratory)","2026-09-18T00:00:00Z","论文",10,false,85,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,23,18,14,8,1,"全球植物水势数据库整合285个数据集、523个物种，为干旱胁迫与遥感模型验证提供关键数据基础设施，专业价值突出。",[25],{"name":10,"url":6},[27,28,29,30,31],"遥感","干旱胁迫","生态监测","植物水分","数据库",[33,34],"PSInet 植物水势数据库","植物水势 时间序列","PSInet植物水势数据库-3082",0,"10.64898\u002F2026.09.17.752364",{"doi":37,"openalex_id":39,"authors":40,"venue":10,"cited_by_count":36,"oa_url":101,"card":102,"direction":106,"ingested_from":108},"W7213559802",[41,44,47,50,53,56,59,62,65,68,71,74,77,80,83,86,89,92,95,98],{"name":42,"orcid":43},"Jessica Guo","https:\u002F\u002Forcid.org\u002F0000-0002-9566-9182",{"name":45,"orcid":46},"Ana Maria Restrepo Acevedo","https:\u002F\u002Forcid.org\u002F0000-0003-4861-838X",{"name":48,"orcid":49},"Marvin Browne","https:\u002F\u002Forcid.org\u002F0000-0002-9640-0759",{"name":51,"orcid":52},"Daniel M. Johnson","https:\u002F\u002Forcid.org\u002F0000-0003-1015-9560",{"name":54,"orcid":55},"Katherine A. McCulloh","https:\u002F\u002Forcid.org\u002F0000-0003-0801-3968",{"name":57,"orcid":58},"Jesse B. Nippert","https:\u002F\u002Forcid.org\u002F0000-0002-7939-342X",{"name":60,"orcid":61},"Rafael Poyatos","https:\u002F\u002Forcid.org\u002F0000-0003-0521-2523",{"name":63,"orcid":64},"Steven A. Kannenberg","https:\u002F\u002Forcid.org\u002F0000-0002-4097-9140",{"name":66,"orcid":67},"Daniel P. Beverly","https:\u002F\u002Forcid.org\u002F0000-0002-1267-4147",{"name":69,"orcid":70},"K. Arthur Endsley","https:\u002F\u002Forcid.org\u002F0000-0001-9722-8092",{"name":72,"orcid":73},"Andrew F. Feldman","https:\u002F\u002Forcid.org\u002F0000-0003-1547-6995",{"name":75,"orcid":76},"Alexandra G. Konings","https:\u002F\u002Forcid.org\u002F0000-0002-2810-1722",{"name":78,"orcid":79},"Yanlan Liu","https:\u002F\u002Forcid.org\u002F0000-0001-5129-6284",{"name":81,"orcid":82},"Jordi Martínez‐Vilalta","https:\u002F\u002Forcid.org\u002F0000-0002-2332-7298",{"name":84,"orcid":85},"William M. Hammond","https:\u002F\u002Forcid.org\u002F0000-0002-2904-810X",{"name":87,"orcid":88},"Kevin R. Hultine","https:\u002F\u002Forcid.org\u002F0000-0001-9747-6037",{"name":90,"orcid":91},"Lauren E. L. Lowman","https:\u002F\u002Forcid.org\u002F0000-0003-2960-7095",{"name":93,"orcid":94},"Jeffrey S. Dukes","https:\u002F\u002Forcid.org\u002F0000-0001-9482-7743",{"name":96,"orcid":97},"Julia K. Green","https:\u002F\u002Forcid.org\u002F0000-0002-8466-2313",{"name":99,"orcid":100},"Lawren Sack","https:\u002F\u002Forcid.org\u002F0000-0002-7009-7202","https:\u002F\u002Fwww.biorxiv.org\u002Fcontent\u002Fbiorxiv\u002Fearly\u002F2026\u002F09\u002F18\u002F2026.09.17.752364.full.pdf",{"tldr":103,"method":104,"finding":105,"direction":106,"opportunity":107},"构建全球植物水势时间序列数据库PSInet，整合285个数据集523个物种。","汇集全球植物水势时间序列数据，建立数据库并开展初步分析。","该数据库可支撑植物水分策略、干旱胁迫、遥感与模型基准等研究。","农业遥感与作物表型","可基于该数据库融合遥感与陆面模型，发展作物水分状态监测与干旱预警方法。","openalex","2026-09-21T23:30:27.557264Z",{"total":111,"page":22,"page_size":111,"items":112},6,[113,150,192,235,283,313],{"id":114,"title":115,"url":116,"summary":117,"summary_zh":118,"content":9,"source_name":119,"source_url":116,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":120,"score_detail":121,"sources":125,"tags":127,"search_phrases":131,"slug":134,"view_count":36,"doi":135,"paper":136,"created_at":149},3086,"UAV photogrammetry and remote sensing for coastal biodiversity and habitat conservation","https:\u002F\u002Fdoi.org\u002F10.6008\u002Fcbpc2318-2881.2026.001.0002","Coastal ecosystems support high biological diversity while experiencing rapid change caused by shoreline dynamics, sea-level rise, extreme events, pollution, urban development, and intensive resource use. Conventional field surveys provide essential ecological observations but often lack the spatial extent or repetition needed to describe heterogeneous and short-lived coastal conditions. This review evaluates how uncrewed aerial vehicle photogrammetry and remote sensing can support habitat assessment, species monitoring, restoration, and conservation decisions. A structured narrative synthesis was undertaken across studies on image-based mapping, multispectral and thermal observation, laser scanning, direct georeferencing, automated classification, and environmental change detection. The evidence shows that these platforms are most useful when surveys are designed around explicit ecological variables rather than image production alone. RGB imagery and structure-from-motion models provide detailed surface geometry; multispectral, thermal, and laser sensors add information on vegetation condition, moisture, temperature, and three-dimensional structure. Repeated surveys can reveal erosion, inundation, habitat fragmentation, restoration performance, and wildlife distribution at operational scales. Major constraints include variable illumination, water reflectance, wind, tides, positional uncertainty, disturbance risk, regulation, limited training data, and inconsistent validation. Effective programs therefore require standardized timing, field calibration, uncertainty reporting, ethical flight practice, and workflows that convert mapped patterns into management indicators. Future progress depends on sensor integration, explainable automation, interoperable time series, and sustained cooperation between remote-sensing specialists, ecologists, managers, and coastal communities.","沿海生态系统维持着高度的生物多样性，同时经历着由岸线动态、海平面上升、极端事件、污染、城市发展和密集资源利用所引发的快速变化。传统野外调查提供了重要的生态观测，但往往缺乏描述异质性和短生命周期沿海状况所需的空间范围或重复频次。本文综述评估了无人驾驶航空器摄影测量与遥感如何支持栖息地评估、物种监测、恢复和保护决策。我们对基于影像的制图、多光谱与热红外观测、激光扫描、直接地理配准、自动分类和环境变化检测等研究进行了结构化叙述性综合。证据表明，当调查围绕明确的生态变量而非仅以影像生产为目的进行设计时，这些平台最为有用。RGB影像和运动恢复结构（structure-from-motion）模型可提供详细的地表几何信息；多光谱、热红外和激光传感器则补充了植被状况、湿度、温度和三维结构信息。重复调查能够在业务尺度上揭示侵蚀、淹没、栖息地破碎化、恢复成效和野生动物分布。主要制约因素包括光照变化、水体反射、风、潮汐、位置不确定性、干扰风险、法规、训练数据有限以及验证不一致。因此，有效的项目需要标准化的时间安排、野外校准、不确定性报告、符合伦理的飞行实践，以及将制图格局转化为管理指标的工作流程。未来的进展取决于传感器集成、可解释的自动化、可互操作的时间序列，以及遥感专家、生态学家、管理者和沿海社区之间的持续合作。","Nature and Conservation",64,{"impact":21,"substance":19,"depth":122,"authority":123,"freshness":21,"relevant":22,"comment":124},17,13,"综述系统梳理无人机摄影测量与遥感在海岸生境评估、物种监测与修复中的应用与局限，方法学价值明确，但偏生态保护领域，与农业信息化关联间接，属细分方向参考。",[126],{"name":119,"url":116},[128,27,129,29,130],"无人机","生物多样性","海岸生态",[132,133],"无人机 摄影测量 海岸生态","UAV 遥感 生物多样性监测","无人机摄影测量海岸生态-3086","10.6008\u002Fcbpc2318-2881.2026.001.0002",{"doi":135,"openalex_id":137,"authors":138,"venue":119,"cited_by_count":36,"oa_url":142,"card":143,"direction":148,"ingested_from":108},"W7213604527",[139],{"name":140,"orcid":141},"Murat Yakar","https:\u002F\u002Forcid.org\u002F0000-0002-2664-6251","https:\u002F\u002Fwww.natureandconservation.com\u002Findex.php\u002Fnature\u002Farticle\u002Fdownload\u002F8949\u002F5099",{"tldr":144,"method":145,"finding":146,"direction":106,"opportunity":147},"综述无人机摄影测量与遥感在海岸生物多样性和栖息地保护中的应用与局限。","结构化叙述性综述，涵盖RGB、多光谱、热红外、激光扫描及自动分类等研究。","围绕明确生态变量设计调查时最有效，但受光照、风潮、法规和验证不一致等制约。","可探索多传感器融合与可解释自动化，构建标准化时间序列以支撑海岸管理指标。","数字乡村与农业信息化","2026-09-21T23:30:37.840826Z",{"id":151,"title":152,"url":153,"summary":154,"summary_zh":155,"content":9,"source_name":156,"source_url":153,"published_at":157,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":120,"score_detail":158,"sources":163,"tags":165,"search_phrases":168,"slug":171,"view_count":36,"doi":172,"paper":173,"created_at":191},1767,"Assessment of water use efficiency in arid ecosystems of the coastal land of Egypt using MODIS dataset","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-67232-3","Abstract In drylands, the limited availability of reliable measurements makes it more difficult to understand how climatic and biogeochemical factors shape ecosystem processes across spatial gradients compared to mesic or humid regions. Water use efficiency (WUE) is a key physiological indicator for assessing interactions between carbon and water cycles in any ecosystem. Yet, in dryland ecosystems with sparse vegetation where evaporation represents a large fraction of total evapotranspiration (ET), the response of WUE to land use changes needs more investigation. To address this gap, the present study examines the spatial and temporal patterns of WUE in coastal dryland ecosystems of Egypt to better understand how land use practices affect water dynamics. Using an integrated approach that combines remote sensing products, WUE trends were assessed across representative sites. The results show high spatial variation in the WUE pattern over the 25-year period, with absolute values ranging from below 1.0 × 10 −3 g C mm −1 in sparsely vegetated zones up to 2.9 × 10 −3 g C mm −1 in reclaimed lands. The highest values of WUE are for the vegetated areas of croplands and reed vegetation, where the biomass reflects the growth of developed vegetation. The natural land covers are subjected to various changes due to human activities and expansion in the reclaimed agricultural areas where the urbanization activities increase ET and reduce WUE. These insights can contribute to a better understanding of dryland ecosystem functioning and can inform sustainable water and land management strategies in arid regions facing increasing water scarcity.","在干旱地区，可靠测量数据的有限性使得相较于湿润或半湿润地区，理解气候和生物地球化学因素如何塑造生态系统过程的空间梯度变得更加困难。水分利用效率（WUE）是评估任何生态系统中碳与水循环相互作用的关键生理指标。然而，在植被稀疏、蒸发占实际蒸散发（ET）很大比例的干旱生态系统中，水分利用效率对土地利用变化的响应仍需进一步研究。为弥补这一空白，本研究考察了埃及沿海干旱生态系统水分利用效率的时空格局，以更好地理解土地利用实践如何影响水分动态。通过结合遥感产品的综合方法，评估了代表性样点的水分利用效率趋势。结果显示，25年间水分利用效率格局存在高度空间变异性，绝对值范围从稀疏植被区的低于1.0×10⁻³ g C mm⁻¹到开垦土地的2.9×10⁻³ g C mm⁻¹不等。水分利用效率最高值出现在农田和芦苇植被的植被覆盖区域，其生物量反映了发育植被的生长状况。由于人类活动和开垦农业区的扩张，自然土地覆盖类型经历了各种变化，城市化活动增加了蒸散发并降低了水分利用效率。这些见解有助于加深对干旱生态系统功能的理解，并可为面临日益严重水资源短缺的干旱地区提供可持续水资源和土地管理策略的参考。","Scientific Reports","2026-09-05T00:00:00Z",{"impact":159,"substance":19,"depth":160,"authority":123,"freshness":161,"relevant":22,"comment":162},12,16,5,"利用MODIS数据评估埃及干旱区水分利用效率，对农业水资源管理有参考价值，但地域较远，影响有限。",[164],{"name":156,"url":153},[166,27,167,29],"农业水资源","干旱区",[169,170],"农业水资源 生态监测 干旱区 遥感","农业水资源 生态监测","农业水资源生态监测干旱区遥感-1767","10.1038\u002Fs41598-026-67232-3",{"doi":172,"openalex_id":174,"authors":175,"venue":156,"cited_by_count":36,"oa_url":185,"card":186,"direction":106,"ingested_from":108},"W7208807648",[176,179,182],{"name":177,"orcid":178},"Amira M. Hotaiba","https:\u002F\u002Forcid.org\u002F0000-0001-5305-1555",{"name":180,"orcid":181},"Boshra Salem","https:\u002F\u002Forcid.org\u002F0000-0001-9715-6324",{"name":183,"orcid":184},"Marwa Waseem A. Halmy","https:\u002F\u002Forcid.org\u002F0000-0002-4183-973X","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-67232-3.pdf",{"tldr":187,"method":188,"finding":189,"direction":106,"opportunity":190},"利用MODIS数据评估埃及沿海干旱生态系统水分利用效率的时空格局及土地利用影响。","集成遥感产品，分析25年WUE趋势，对比不同土地覆盖类型。","WUE空间变异大，耕地和芦苇植被最高，城市化增加蒸散降低WUE。","可研究干旱区土地利用变化对WUE的驱动机制，结合高分辨率数据优化水资源管理。","2026-09-06T23:30:27.242542Z",{"id":193,"title":194,"url":195,"summary":196,"summary_zh":197,"content":9,"source_name":198,"source_url":195,"published_at":199,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":200,"score_detail":201,"sources":205,"tags":207,"search_phrases":211,"slug":214,"view_count":36,"doi":215,"paper":216,"created_at":234},1729,"CAFF-Net for coupled eco-health prediction of urban green space and water body with multi-source remote sensing","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.asej.2026.104404","Aiming at three bottlenecks of multi-source remote sensing eco-health inversion: cross-modal feature redundancy, decoupled single-task modeling, and detail distortion of fragmented urban land covers, this paper proposes CAFF-Net for coupled eco-health prediction of urban green spaces and water bodies using Sentinel-1 SAR and Sentinel-2 optical data. A dual-branch Swin-Transformer separately extracts heterogeneous features, and serial CBAM realizes adaptive feature filtering to suppress redundant information. An improved multi-task UNet synchronously predicts green space, water body and coupled ecological health indices with joint loss to model aquatic-terrestrial ecological linkages. Experiments show CAFF-Net achieves an 𝑅 2 of 0.928, 3.3% higher than SOTA, with strong robustness under heavy cloud interference, supporting sponge city and watershed governance.","针对多源遥感生态健康反演中存在的三大瓶颈——跨模态特征冗余、单任务解耦建模以及城市破碎化地物细节失真问题，本文提出CAFF-Net，利用Sentinel-1 SAR与Sentinel-2光学数据实现城市绿地和水体耦合生态健康预测。双分支Swin-Transformer分别提取异质特征，串联CBAM实现自适应特征过滤以抑制冗余信息。改进的多任务UNet通过联合损失同步预测绿地、水体及耦合生态健康指数，以建模水陆生态关联。实验表明，CAFF-Net的R²达到0.928，较SOTA提升3.3%，且在强云干扰下具有较强鲁棒性，可为海绵城市和流域治理提供支撑。","Ain Shams Engineering Journal","2026-09-03T00:00:00Z",65,{"impact":159,"substance":202,"depth":19,"authority":159,"freshness":203,"relevant":22,"comment":204},20,3,"提出CAFF-Net模型，耦合预测城市绿地与水体生态健康，方法新颖，数据可靠，对智慧城市生态管理有参考价值。",[206],{"name":198,"url":195},[208,209,27,29,210],"智慧农业","农业人工智能","城市绿地",[212,213],"农业人工智能 城市绿地 智慧农业 生态监测","农业人工智能 城市绿地","农业人工智能城市绿地智慧农业生态监测-1729","10.1016\u002Fj.asej.2026.104404",{"doi":215,"openalex_id":217,"authors":218,"venue":198,"cited_by_count":36,"oa_url":227,"card":228,"direction":233,"ingested_from":108},"W7207862972",[219,222,224],{"name":220,"orcid":221},"Yifeng Shen","https:\u002F\u002Forcid.org\u002F0009-0009-3887-4938",{"name":223,"orcid":9},"Y. F. Ye",{"name":225,"orcid":226},"Shulai Wang","https:\u002F\u002Forcid.org\u002F0009-0007-7101-3449","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2090447926004351\u002Fpdf",{"tldr":229,"method":230,"finding":231,"direction":106,"opportunity":232},"提出CAFF-Net，用多源遥感数据耦合预测城市绿地和水体生态健康。","双分支Swin-Transformer提取特征，CBAM过滤冗余，改进多任务UN","R²达0.928，比SOTA高3.3%，抗云干扰强，支持海绵城市治理。","可延伸至农业生态系统，耦合预测农田植被与水体健康，探索多任务联合损失在农业遥感中的应用。","智慧农业 \u002F 农业物联网","2026-09-05T23:30:13.221496Z",{"id":236,"title":237,"url":238,"summary":239,"summary_zh":240,"content":9,"source_name":241,"source_url":238,"published_at":242,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":243,"score_detail":244,"sources":247,"tags":249,"search_phrases":252,"slug":255,"view_count":36,"doi":256,"paper":257,"created_at":282},1425,"Physiological and Spectral Responses of Centella asiatica (L.) to Drought Stress: Implications for Growth, Yield, Stress Monitoring, and Modeling","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jafr.2026.103260","Centella asiatica (L.) is an important medicinal herb valued for its wound-healing, anti-inflammatory, and cognitive-enhancing properties. However, information on its physiological responses to drought stress and the application of hyperspectral remote sensing for drought assessment in this species remains limited. This study evaluated the effects of four soil moisture regimes (control, mild, moderate, and severe drought) on plant growth, physiology, and leaf spectral reflectance in two trials. Drought stress significantly reduced gas exchange, growth, and biomass production. Under severe drought, stomatal conductance decreased by 88%, accompanied by a 37% increase in canopy temperature. Net photosynthetic rate declined by 69% and was positively correlated with soil moisture content (R = 0.80). Marketable fresh weight declined from 6.5 under control to 1.0 kg m -2 under severe drought, while dry biomass decreased from 0.64 to 0.26 kg m -2 in trial 1 and from 0.57 to 0.28 kg m -2 in trial 2. Drought stress also altered leaf spectral reflectance, particularly in the visible region, resulting in significant changes in several vegetation indices that were strongly correlated with key morpho-physiological traits. Additionally, functional relationships between soil moisture and major physiological and growth traits were established through environmental productivity indices, providing a quantitative framework for predicting plant responses to water availability. These findings demonstrate the potential of hyperspectral sensing for early, non-destructive drought detection and provide practical tools for improving irrigation management and precision cultivation of C. asiatica under field and greenhouse conditions.","积雪草（*Centella asiatica* (L.)）是一种重要的药用植物，因其具有伤口愈合、抗炎和增强认知功能的特性而备受重视。然而，关于该物种对干旱胁迫的生理响应以及利用高光谱遥感技术评估其干旱状况的信息仍然有限。本研究通过两项试验，评估了四种土壤水分条件（对照、轻度、中度和重度干旱）对植物生长、生理特性及叶片光谱反射率的影响。干旱胁迫显著降低了气体交换、生长和生物量产量。在重度干旱条件下，气孔导度下降了88%，同时冠层温度升高了37%。净光合速率下降了69%，并与土壤含水量呈正相关（R = 0.80）。商品鲜重从对照条件下的6.5 kg m⁻²降至重度干旱条件下的1.0 kg m⁻²，而干生物量在试验1中从0.64 kg m⁻²降至0.26 kg m⁻²，在试验2中从0.57 kg m⁻²降至0.28 kg m⁻²。干旱胁迫还改变了叶片光谱反射率，尤其是在可见光区域，导致多个植被指数发生显著变化，这些指数与关键形态-生理性状密切相关。此外，通过环境生产力指数建立了土壤水分与主要生理及生长性状之间的函数关系，为预测植物对水分可用性的响应提供了定量框架。这些发现证明了高光谱传感技术在早期、非破坏性干旱检测方面的潜力，并为改善田间和温室条件下积雪草的灌溉管理和精准栽培提供了实用工具。","Journal of Agriculture and Food Research","2026-09-01T00:00:00Z",69,{"impact":159,"substance":202,"depth":19,"authority":159,"freshness":245,"relevant":22,"comment":246},7,"研究利用高光谱遥感监测药用植物干旱胁迫，为精准灌溉提供新工具，兼具科研与应用价值。",[248],{"name":241,"url":238},[208,27,250,28,251],"精准灌溉","积雪草",[253,254],"干旱胁迫 智慧农业 精准灌溉 积雪草","干旱胁迫 智慧农业","干旱胁迫智慧农业精准灌溉积雪草-1425","10.1016\u002Fj.jafr.2026.103260",{"doi":256,"openalex_id":258,"authors":259,"venue":241,"cited_by_count":36,"oa_url":276,"card":277,"direction":106,"ingested_from":108},"W7204869219",[260,262,265,267,270,273],{"name":261,"orcid":9},"Naflath Thenveettil",{"name":263,"orcid":264},"CLEDIANE ALENCAR DA SILVA","https:\u002F\u002Forcid.org\u002F0009-0006-4333-5128",{"name":266,"orcid":9},"Navneet Kaur",{"name":268,"orcid":269},"Nuwan K. Wijewardane","https:\u002F\u002Forcid.org\u002F0000-0001-8962-9451",{"name":271,"orcid":272},"Krishna N. Reddy","https:\u002F\u002Forcid.org\u002F0000-0002-2807-834X",{"name":274,"orcid":275},"K. Raja Reddy","https:\u002F\u002Forcid.org\u002F0000-0002-7906-7755","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2666154326006319\u002Fpdf",{"tldr":278,"method":279,"finding":280,"direction":106,"opportunity":281},"研究干旱胁迫对积雪草生长、生理和光谱响应的影响，并建立预测模型。","设置四种土壤水分梯度，测量气体交换、生长和叶片光谱反射率，建立环境生产力指数模型","干旱显著降低光合和生物量，光谱指数与性状强相关，可用于非破坏性干旱监测。","可延伸至其他药用植物或经济作物的干旱胁迫光谱监测模型，结合无人机遥感实现田间精准灌溉管理。","2026-09-02T23:30:23.204664Z",{"id":284,"title":285,"url":286,"summary":287,"summary_zh":9,"content":9,"source_name":288,"source_url":9,"published_at":289,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":290,"score_detail":291,"sources":294,"tags":296,"search_phrases":300,"slug":303,"view_count":36,"doi":9,"paper":304,"created_at":312},3121,"Optimization of Farmland Management Zoning in the Black Soil Region: A Climate Adaptability Assessment Considering Crop Growth Response and Topographic Characteristics（黑土区农田管理分区优化：考虑作物生长响应与地形特征的气候适应性评估）","https:\u002F\u002Fwww.mdpi.com\u002F2072-4292\u002F18\u002F18\u002F3260","吉林农业大学 Han Yongqi 等联合中科院东北地理与农业生态研究所、东北农业大学在《Remote Sensing》18(18): 3260 发表论文（2026-09-21 发表）。针对精准农业管理分区对单日期影像依赖难以捕捉年际作物环境变化问题，研究评估 29 个特征组合（融合 Sentinel-2 多光谱、PCA、NDVI 和 DEM 数据）在黑土区友谊农场干旱、湿润和融合场景下的气候适应性。实施异构空间注意力网络（HSAN）和 K-means 聚类，以变异系数（CV）评估稳定性与适应性。结果显示 HSAN 在多源融合下优于 K-means，CV 分别为 11.303-14.774% 与 14.823-16.011%；多期 NDVI 数据是主导因素，相对 CV 减少 34.850-53.701%；DEM 贡献有限；PCA 增强稳定性；多期融合在极端气候年份提升分区生态一致性与适用性。","MDPI Remote Sensing","2026-09-21T00:00:00Z",79,{"impact":292,"substance":17,"depth":19,"authority":20,"freshness":13,"relevant":22,"comment":293},15,"黑土区精准农业管理分区研究，方法新颖、数据扎实，对农业遥感应用有参考价值。",[295],{"name":288,"url":286},[208,297,298,27,299],"精准农业","黑土区","管理分区",[301,302],"黑土区 管理分区 遥感","Sentinel-2 黑土区 气候适应性","黑土区管理分区遥感-3121",{"doi":9,"openalex_id":9,"authors":305,"venue":9,"cited_by_count":36,"oa_url":9,"card":306,"direction":106,"ingested_from":311},[],{"tldr":307,"method":308,"finding":309,"direction":106,"opportunity":310},"评估黑土区多源遥感特征组合在干旱湿润场景下的农田管理分区气候适应性。","融合Sentinel-2多光谱、NDVI、PCA与DEM，用HSAN和K-mea","HSAN优于K-means，多期NDVI主导稳定性提升，DEM贡献有限，PCA增强稳定性。","可探索多期时序特征与深度聚类在极端气候下的跨区域迁移及分区决策落地。","agent","2026-09-22T00:05:38.189091Z",{"id":314,"title":315,"url":316,"summary":317,"summary_zh":318,"content":9,"source_name":319,"source_url":316,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":320,"score_detail":321,"sources":323,"tags":325,"search_phrases":330,"slug":333,"view_count":36,"doi":334,"paper":335,"created_at":365},3081,"Evaluating vegetation indices for monitoring drought and post-drought declines in European forest productivity","https:\u002F\u002Fdoi.org\u002F10.5194\u002Fbg-23-6557-2026","Drought is causing increasingly severe and widespread negative impacts on forest gross primary productivity (GPP), but modelling these impacts over large spatial scales with remote sensing data is challenging. It is especially problematic in forests that have lower spectral sensitivity to drought compared to other ecosystems and where the timing of vegetation index (VI) response may lag GPP. However, the length of time lags between drought start, GPP and VI response in forests have not been quantified or compared among VIs. We tested the ability of 12 MODIS variables (land surface temperature, leaf area index, fraction absorbed photosynthetic active radiation and nine VIs) to capture drought-induced reductions in GPP from ICOS and FLUXNET eddy covariance data at 18 forest sites across Europe. Our analysis quantified the time lags between the Standardized Precipitation Evapotranspiration Index, GPP and VI response to drought as well as legacy effects in the first year post-drought. We found that land surface temperature was the only MODIS variable that showed significant change between drought and non-drought reference periods at both deciduous broadleaf and evergreen coniferous forests. At deciduous sites, the Chlorophyll\u002FCarotenoid Index, Normalized Difference Water Index and Normalized Difference Vegetation Index (NDVI) were also significantly reduced during drought while the Near Infrared Reflectance Index (NIRv) was significantly reduced at coniferous sites. There were substantial variations in the magnitude and timing of drought response among the VIs which we relate to drought-induced changes in tree physiology and their differences between the five tree genera represented at the study sites. VIs related to canopy structure (NDVI, Plant Phenology Index and NIRv) remained low in the first year following drought at both broadleaf and coniferous sites (although not statistically significant), while GPP often recovered to long-term mean values, implying possible post-drought decoupling between GPP and these VIs.","干旱正对森林总初级生产力（GPP）造成日益严重且广泛的负面影响，但利用遥感数据在大空间尺度上模拟这些影响仍具挑战性。对于光谱对干旱敏感性低于其他生态系统的森林，以及植被指数（VI）响应时间可能滞后于GPP的森林，这一问题尤为突出。然而，森林中干旱开始、GPP与VI响应之间的时间滞后长度尚未被量化，也未在不同VI之间进行比较。我们测试了12个MODIS变量（地表温度、叶面积指数、吸收光合有效辐射分数及9个植被指数）在捕捉欧洲18个森林站点由干旱引起的GPP下降方面的能力，所用GPP数据来自ICOS和FLUXNET涡度相关观测。我们的分析量化了标准化降水蒸散指数、GPP和VI对干旱响应之间的时间滞后，以及干旱后第一年的遗留效应。我们发现，地表温度是唯一在落叶阔叶林和常绿针叶林中均显示干旱期与非干旱参考期之间存在显著差异的MODIS变量。在落叶站点，叶绿素\u002F类胡萝卜素指数、归一化差异水分指数和归一化差异植被指数（NDVI）在干旱期间也显著降低，而在针叶站点，近红外反射率指数（NIRv）显著降低。各VI在干旱响应的幅度和时间上存在显著差异，我们将其与干旱引起的树木生理变化以及研究站点所代表的五个树属之间的差异联系起来。与冠层结构相关的VI（NDVI、植物物候指数和NIRv）在干旱后第一年在阔叶和针叶站点均保持较低水平（尽管未达统计显著性），而GPP通常恢复至长期均值，暗示干旱后GPP与这些VI之间可能出现解耦。","Biogeosciences",76,{"impact":160,"substance":17,"depth":19,"authority":20,"freshness":111,"relevant":22,"comment":322},"基于18个欧洲森林站点与12种MODIS变量的对比研究，量化了干旱及灾后GPP与植被指数的时滞与解耦，方法新颖、数据扎实，对遥感监测森林生产力具有参考价值。",[324],{"name":319,"url":316},[27,326,327,328,329],"植被指数","森林干旱","GPP监测","欧洲森林",[331,332],"MODIS 植被指数 干旱","欧洲森林 GPP 遥感监测","MODIS植被指数干旱-3081","10.5194\u002Fbg-23-6557-2026",{"doi":334,"openalex_id":336,"authors":337,"venue":319,"cited_by_count":36,"oa_url":359,"card":360,"direction":106,"ingested_from":108},"W7213558520",[338,341,344,347,350,353,356],{"name":339,"orcid":340},"Julia Kelly","https:\u002F\u002Forcid.org\u002F0000-0002-7370-1401",{"name":342,"orcid":343},"Tim Schacherl","https:\u002F\u002Forcid.org\u002F0009-0005-6778-0763",{"name":345,"orcid":346},"Lars Eklundh","https:\u002F\u002Forcid.org\u002F0000-0001-7644-6517",{"name":348,"orcid":349},"Hongxiao Jin","https:\u002F\u002Forcid.org\u002F0000-0003-3100-7814",{"name":351,"orcid":352},"Anne Klosterhalfen","https:\u002F\u002Forcid.org\u002F0000-0001-7999-8966",{"name":354,"orcid":355},"Alexander Knohl","https:\u002F\u002Forcid.org\u002F0000-0002-7615-8870",{"name":357,"orcid":358},"Natascha Kljun","https:\u002F\u002Forcid.org\u002F0000-0001-9650-2184","https:\u002F\u002Fbg.copernicus.org\u002Farticles\u002F23\u002F6557\u002F2026\u002Fbg-23-6557-2026.pdf",{"tldr":361,"method":362,"finding":363,"direction":106,"opportunity":364},"评估12种MODIS植被指数监测欧洲森林干旱及灾后生产力下降的能力。","利用18个欧洲森林站点的涡度协方差GPP与MODIS数据，量化干旱响应时滞。","地表温度是唯一在两类森林均显著变化的指标，灾后GPP恢复但结构类植被指数仍偏低。","可探究灾后GPP与植被指数解耦机制，并开发融合时滞与遗留效应的干旱监测模型。","2026-09-21T23:30:27.481162Z"]