[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3074":3,"related-3074":65},{"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":64},3074,"Temporal Distribution of Drought Indices Using Remote Sensing in the Desertification Nuclei of Brazil","https:\u002F\u002Fdoi.org\u002F10.29150\u002Fjhrs.v16i03.269019","Desertification is one of the main environmental threats to the Brazilian Semi-Arid region, causing biodiversity loss, soil degradation, and a decline in agricultural productivity. Monitoring droughts through remote sensing is fundamental to understanding climate dynamics and supporting mitigation strategies. In this respect, the objective of this study was to analyze the temporal variability of drought in four recognized desertification nuclei in Northeast Brazil: Cabrobó, Gilbués, Irauçuba, and Seridó, from 2001 to 2024. The methodology consisted of evaluating drought scenarios using the Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI), derived from the MODIS sensor. The results indicated a strong seasonality, with more critical values ​​in the second half of the year, when VCI, TCI, and VHI frequently fell below 30, characterizing moderate to severe drought. The core of the Seridó region presented the highest levels of vulnerability, with average VCI and VHI values ​​below 40 and a strong correlation with precipitation (r > 0.60). The Mann-Kendall test did not indicate statistically significant monthly trends, suggesting stability in the historical drought pattern, although regression analysis revealed signs of worsening in Gilbués. Thus, the effectiveness of SR-derived indices in characterizing drought events and highlighting the combined influence of climatic, edaphic, and anthropogenic factors was confirmed. It is concluded that systematic monitoring using SR is essential to support adaptation and mitigation policies in the face of desertification in the Brazilian Semi-Arid region.","荒漠化是巴西半干旱地区面临的主要环境威胁之一，会导致生物多样性丧失、土壤退化以及农业生产力下降。通过遥感监测干旱是理解气候动态并支撑缓解策略的基础。在此背景下，本研究旨在分析2001年至2024年间巴西东北部四个公认的荒漠化核心区——卡布罗博、吉尔布埃斯、伊拉乌苏巴和塞里多——干旱的时间变异性。研究方法包括利用源自MODIS传感器的植被状态指数（VCI）、温度状态指数（TCI）和植被健康指数（VHI）评估干旱情景。结果表明存在强烈的季节性，下半年数值更为严峻，VCI、TCI和VHI频繁低于30，表现为中度至重度干旱。塞里多核心区脆弱性最高，VCI和VHI平均值低于40，且与降水量呈强相关（r > 0.60）。Mann-Kendall检验未显示统计学显著的月度趋势，表明历史干旱模式具有稳定性，尽管回归分析揭示了吉尔布埃斯存在恶化的迹象。因此，遥感衍生指数在刻画干旱事件以及揭示气候、土壤和人为因素综合影响方面的有效性得到证实。结论是，系统性的遥感监测对于支持巴西半干旱地区应对荒漠化的适应与缓解政策至关重要。",null,"Journal of Hyperspectral Remote Sensing","2026-09-19T00:00:00Z","论文",10,false,70,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,20,17,13,8,1,"基于MODIS遥感指数分析巴西四大荒漠化核心区2001—2024年干旱时序变化，方法规范、数据跨度长，对遥感干旱监测有参考价值，但属区域性研究，公共影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"荒漠化","遥感监测","干旱监测","巴西半干旱区","植被健康指数",[33,34],"巴西 荒漠化 遥感 干旱","巴西半干旱区 植被健康指数 干旱监测 遥感监测","巴西荒漠化遥感干旱-3074",0,"10.29150\u002Fjhrs.v16i03.269019",{"doi":37,"openalex_id":39,"authors":40,"venue":10,"cited_by_count":36,"oa_url":6,"card":57,"direction":61,"ingested_from":63},"W7213779605",[41,44,46,49,51,54],{"name":42,"orcid":43},"Juarez Antônio da Silva Júnior","https:\u002F\u002Forcid.org\u002F0000-0002-2898-0309",{"name":45,"orcid":9},"Gabriel Henrique Santos Silva",{"name":47,"orcid":48},"Ubiratan Joaquim da Silva","https:\u002F\u002Forcid.org\u002F0000-0001-7995-6416",{"name":50,"orcid":9},"Sylvana Sylvana Melo dos Santos",{"name":52,"orcid":53},"Anderson Luiz Ribeiro de Paiva","https:\u002F\u002Forcid.org\u002F0000-0003-3475-1454",{"name":55,"orcid":56},"Leidjane Maria Maciel de Oliveira","https:\u002F\u002Forcid.org\u002F0000-0003-1251-6998",{"tldr":58,"method":59,"finding":60,"direction":61,"opportunity":62},"基于MODIS遥感指数分析巴西四个荒漠化核心区2001-2024年干旱时空变化。","用MODIS数据计算VCI、TCI、VHI，结合Mann-Kendall趋势检验","干旱呈强季节性，下半年最严重；Seridó最脆弱，Gilbués有恶化迹象。","农业遥感与作物表型","可结合多源遥感与机器学习构建荒漠化区干旱预警模型，并量化人为因素贡献。","openalex","2026-09-21T23:30:25.707774Z",{"total":66,"page":22,"page_size":66,"items":67},6,[68,111,156,186,239,303],{"id":69,"title":70,"url":71,"summary":72,"summary_zh":73,"content":9,"source_name":74,"source_url":71,"published_at":75,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":76,"score_detail":77,"sources":80,"tags":82,"search_phrases":86,"slug":89,"view_count":36,"doi":90,"paper":91,"created_at":110},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":78,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":79},18,"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。",[81],{"name":74,"url":71},[83,84,85,28,29],"粮食安全","气候变化","气候智慧农业",[87,88],"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":90,"openalex_id":92,"authors":93,"venue":74,"cited_by_count":36,"oa_url":71,"card":103,"direction":109,"ingested_from":63},"W7213257664",[94,96,98,101],{"name":95,"orcid":9},"Abdiaziz Hassan Nur",{"name":97,"orcid":9},"Mohamed Osman Abdulkadir",{"name":99,"orcid":100},"Omar Ali","https:\u002F\u002Forcid.org\u002F0009-0001-3009-1850",{"name":102,"orcid":9},"Ahmed Sodal Asir",{"tldr":104,"method":105,"finding":106,"direction":107,"opportunity":108},"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":112,"title":113,"url":114,"summary":115,"summary_zh":116,"content":9,"source_name":117,"source_url":114,"published_at":118,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":119,"score_detail":120,"sources":124,"tags":126,"search_phrases":130,"slug":133,"view_count":36,"doi":134,"paper":135,"created_at":155},2323,"Land cover transformations in northern Algeria from 2001 to 2021: A MODIS-based spatiotemporal analysis","https:\u002F\u002Fdoi.org\u002F10.30493\u002Fdas.2026.011109","Land use\u002Fland cover (LULC) changes in northern Algeria from 2001 to 2021 were investigated in this research. The assessment utilized the MODIS MCD12Q1 dataset combined with Geographic Information System (GIS) techniques. Substantial landscape transformations were highlighted by the findings. Forests (+47.52%), shrublands (+17.65%), wetlands (+58.64%), and natural vegetation (+465.72%) experienced notable growth, whereas a drop of −14.13% was documented for barren lands by the end of study period. Moderate overall growth was displayed by agricultural lands, despite various fluctuations throughout the timeline. Concurrently, a continuous expansion (+3.90%) driven by escalating anthropogenic pressure was recorded in urban and built-up areas. Regional landscape evolution is clearly shaped by a combination of factors. Climatic variability, ecological succession, land management practices, and human activities collectively drive these observed dynamics. Partial alignment with previously documented vegetation recovery and urban expansion trends in Algeria was demonstrated by comparative literature reviews. However, the moderate spatial resolution (500 m) of the MODIS MCD12Q1 product likely caused several identified data discrepancies. Ultimately, the immense value of remote sensing and GIS approaches for regional environmental monitoring is proven by this project. Achieving better classification accuracy in heterogeneous Mediterranean environments, however, strictly necessitates the use of higher-resolution datasets.","本研究探讨了2001年至2021年阿尔及利亚北部土地利用\u002F土地覆盖（LULC）变化。评估采用MODIS MCD12Q1数据集结合地理信息系统（GIS）技术。研究结果凸显了显著的土地景观转变。森林（+47.52%）、灌木地（+17.65%）、湿地（+58.64%）和自然植被（+465.72%）显著增长，而裸地在研究期末则记录了−14.13%的下降。尽管农业用地在时间线上经历了多次波动，但总体上呈现出适度增长。与此同时，城市和建成区因人为压力不断加剧而记录了持续扩张（+3.90%）。区域景观演变显然由多种因素共同塑造。气候变率、生态演替、土地管理实践和人类活动共同驱动了这些观测到的动态。比较文献综述表明，这与阿尔及利亚先前记录的植被恢复和城市扩张趋势部分吻合。然而，MODIS MCD12Q1产品的中等空间分辨率（500米）可能导致了若干已识别的数据差异。最终，本项目证明了遥感和GIS方法在区域环境监测中的巨大价值。然而，要在异质性较强的地中海环境中实现更好的分类精度，严格需要使用更高分辨率的数据集。","DYSONA – Applied Science","2026-09-11T00:00:00Z",62,{"impact":21,"substance":78,"depth":121,"authority":17,"freshness":122,"relevant":22,"comment":123},15,9,"基于MODIS数据的阿尔及利亚北部20年土地覆被变化分析，方法规范、数据翔实，对遥感监测与区域生态评估有参考价值，但属境外区域研究，国内产业影响有限。",[125],{"name":117,"url":114},[127,27,28,128,129],"农业信息化","土地利用","植被恢复",[131,132],"农业信息化 土地利用 植被恢复 遥感监测","农业信息化 土地利用","农业信息化土地利用植被恢复遥感监测-2323","10.30493\u002Fdas.2026.011109",{"doi":134,"openalex_id":136,"authors":137,"venue":117,"cited_by_count":36,"oa_url":114,"card":150,"direction":61,"ingested_from":63},"W7212238590",[138,140,143,146,148],{"name":139,"orcid":9},"Bilel Zerouali",{"name":141,"orcid":142},"Richarde Marques da Silva","https:\u002F\u002Forcid.org\u002F0000-0001-6601-5174",{"name":144,"orcid":145},"Nadjem Bailek","https:\u002F\u002Forcid.org\u002F0000-0001-9051-8548",{"name":147,"orcid":9},"Valeriano Carneiro de Lima Silva",{"name":149,"orcid":9},"Celso Augusto Guimarães Santos",{"tldr":151,"method":152,"finding":153,"direction":61,"opportunity":154},"基于MODIS数据分析了2001—2021年阿尔及利亚北部土地覆盖的时空变化。","使用MODIS MCD12Q1数据集结合GIS技术进行LULC分类与变化检测。","森林、灌丛、湿地和自然植被显著增长，裸地减少，建设用地持续扩张。","可引入高分辨率遥感数据提升地中海异质景观分类精度，并耦合气候与人为驱动因子做归因分析。","2026-09-13T23:30:23.070977Z",{"id":157,"title":158,"url":159,"summary":160,"summary_zh":9,"content":9,"source_name":161,"source_url":9,"published_at":162,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":76,"score_detail":163,"sources":166,"tags":168,"search_phrases":173,"slug":176,"view_count":36,"doi":9,"paper":177,"created_at":185},3122,"Advances in Information Sensing and Intelligent Monitoring of Field Crops Throughout the Full Growth Cycle（大田作物全生育期信息感知与智能监测研究进展）","https:\u002F\u002Fwww.mdpi.com\u002F2073-4395\u002F16\u002F18\u002F1852","江苏大学农业工程学院 Tang Ruifan 等在《Agronomy》16(18): 1852 发表综述（2026-09-20 发表）：大田作物在不同生育阶段持续变化、呈现显著空间异质性、需在短作业窗口内进行管理。研究以生育阶段为主线组织文献，通过\"农业需求—可观测变量—感知平台—数据处理方法—验证设计—状态解释—管理或装备输出\"通用链条分析。从卫星遥感、无人机感知、地面与近端感知、田间物联网、机载传感器、多源融合、作物模型与机器学习方法按空间支撑、时间连续性、尺度匹配、田间稳健性、迁移条件、不确定性与操作适用性比较。综述报告作物表型反演、田间环境表征、生物胁迫识别在特定条件下已建立；跨阶段状态继承、一致参考测量、独立验证、监测结果向可执行任务转化仍不充分。提出生命周期导向的信息处理视角，未来应加强跨作物跨区域验证、机理性与数据驱动模型协同、不确定性报告、互操作性和田间反馈。","MDPI Agronomy","2026-09-20T00:00:00Z",{"impact":164,"substance":18,"depth":78,"authority":20,"freshness":122,"relevant":22,"comment":165},16,"江苏大学团队在核心期刊发表的综述，系统梳理大田作物全生育期感知与监测技术链条，专业深度与信息增量较高，但属学术综述、产业影响有限，适合进入主题聚合而非头条精选。",[167],{"name":161,"url":159},[169,170,171,28,172],"智慧农业","农业物联网","作物表型","大田作物",[174,175],"江苏大学 大田作物 智能监测","Agronomy 作物全生育期 信息感知","江苏大学大田作物智能监测-3122",{"doi":9,"openalex_id":9,"authors":178,"venue":9,"cited_by_count":36,"oa_url":9,"card":179,"direction":61,"ingested_from":184},[],{"tldr":180,"method":181,"finding":182,"direction":61,"opportunity":183},"综述大田作物全生育期信息感知与智能监测，按生育阶段梳理技术并指出转化不足。","以生育阶段为主线，比较卫星、无人机、地面物联网、模型与机器学习等方法。","表型反演与胁迫识别已有条件建立，但跨阶段继承、独立验证与可执行转化不足。","可研究跨生育阶段状态继承建模、一致参考测量与监测结果向田间作业指令的转化。","agent","2026-09-22T00:05:38.276747Z",{"id":187,"title":188,"url":189,"summary":190,"summary_zh":191,"content":9,"source_name":192,"source_url":189,"published_at":193,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":194,"score_detail":195,"sources":199,"tags":201,"search_phrases":206,"slug":209,"view_count":36,"doi":210,"paper":211,"created_at":238},3084,"Spatiotemporal evolution and drivers of eco-environmental quality for sustainable rural tourism in China’s Yangtze River Basin: an explainable AI approach","https:\u002F\u002Fdoi.org\u002F10.1080\u002F17538947.2026.2735566","Balancing tourism-driven growth (SDG 8.9) with terrestrial ecosystem conservation (SDG 15) is vital for sustainable watershed management. Focusing on 409 Key Rural Tourism Villages in China’s Yangtze River Basin, this study integrates Google Earth Engine and MODIS data to assess eco-environmental quality (EEQ) from 2000 to 2024 using the Remote Sensing Ecological Index (RSEI), employing an XGBoost-SHAP framework to decode driving mechanisms. Results indicate that these villages exhibit a clustered spatial distribution pattern, with three core agglomerations. The mean RSEI across all villages exceeds 0.73, indicating overall improvement and resilient recovery after 2020. However, a distinct north-south spatial disparity emerged: improved villages were predominantly concentrated north of the Yangtze River mainstem, whereas degraded villages clustered in the Taihu, Poyang, and Dongting Lake basins to the south. Elevation, land-use change, and temperature are the primary drivers, with a critical altitudinal threshold near 2,500 metres, where synergistic effects turn antagonistic. Although the XGBoost model achieved strong predictive performance (R2 = 0.853, RMSE = 0.071), 14.7% of the variance remains unexplained, suggesting the influence of additional unmeasured factors. These findings advance SDG 15 localisation by establishing spatial baselines and threshold-guided carrying-capacity regulations for watershed tourism governance.","在可持续流域管理中，平衡旅游驱动型增长（SDG 8.9）与陆地生态系统保护（SDG 15）至关重要。本研究以中国长江流域409个全国乡村旅游重点村为对象，集成Google Earth Engine与MODIS数据，基于遥感生态指数（RSEI）评估2000—2024年生态环境质量（EEQ），并采用XGBoost-SHAP框架解析其驱动机制。结果表明，这些村庄呈集聚型空间分布格局，形成三个核心集聚区。所有村庄的RSEI均值超过0.73，表明生态环境质量总体改善，并在2020年后呈现韧性恢复。然而，南北空间分异显著：改善型村庄主要集中于长江干流以北，而退化型村庄则聚集于以南的太湖、鄱阳湖和洞庭湖流域。海拔、土地利用变化和气温是主要驱动因子，在约2500 m处存在关键海拔阈值，超过该阈值后协同效应转为拮抗效应。尽管XGBoost模型具有较强预测性能（R² = 0.853，RMSE = 0.071），仍有14.7%的方差未能解释，提示其他未测因素的影响。本研究通过建立空间基线和阈值引导的承载力调控措施，推动了SDG 15的本土化，为流域旅游治理提供了依据。","International Journal of Digital Earth","2026-09-18T00:00:00Z",80,{"impact":78,"substance":196,"depth":78,"authority":197,"freshness":21,"relevant":22,"comment":198},22,14,"基于GEE与MODIS的乡村文旅生态质量长时序评估，方法新颖、数据规模大，对流域旅游承载力治理有参考价值。",[200],{"name":192,"url":189},[202,28,203,204,205],"长江流域","乡村文旅","生态遥感","可持续旅游",[207,208],"长江流域 乡村旅游 生态质量","RSEI 遥感生态指数 乡村","长江流域乡村旅游生态质量-3084","10.1080\u002F17538947.2026.2735566",{"doi":210,"openalex_id":212,"authors":213,"venue":192,"cited_by_count":36,"oa_url":231,"card":232,"direction":237,"ingested_from":63},"W7213546376",[214,216,219,221,223,225,228],{"name":215,"orcid":9},"Xiaojuan Zhang",{"name":217,"orcid":218},"Zhe Chen","https:\u002F\u002Forcid.org\u002F0000-0001-7579-1968",{"name":220,"orcid":9},"Libin Guo",{"name":222,"orcid":9},"Guoyan Wang",{"name":224,"orcid":9},"Yongxiu Zhou",{"name":226,"orcid":227},"Hui Li","https:\u002F\u002Forcid.org\u002F0000-0002-3565-1773",{"name":229,"orcid":230},"Zhongchang Sun","https:\u002F\u002Forcid.org\u002F0000-0003-3219-0542","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Fpdf\u002F10.1080\u002F17538947.2026.2735566?needAccess=true",{"tldr":233,"method":234,"finding":235,"direction":107,"opportunity":236},"评估长江流域409个乡村旅游村2000-2024年生态环境质量演变并解析驱动机制。","GEE与MODIS数据、RSEI指数、XGBoost-SHAP可解释AI框架。","整体EEQ改善但南北分异明显，海拔、土地利用与温度为主导驱动，2500米为协同转拮抗阈值。","可探究未解释的14.7%方差来源，并针对太湖、鄱阳湖、洞庭湖退化区开展旅游承载力调控研究。","数字乡村与农业信息化","2026-09-21T23:30:36.842989Z",{"id":240,"title":241,"url":242,"summary":243,"summary_zh":244,"content":9,"source_name":245,"source_url":242,"published_at":193,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":246,"score_detail":247,"sources":249,"tags":251,"search_phrases":255,"slug":258,"view_count":36,"doi":259,"paper":260,"created_at":302},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。","Environmental Research Ecology",69,{"impact":21,"substance":196,"depth":78,"authority":20,"freshness":21,"relevant":22,"comment":248},"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。",[250],{"name":245,"url":242},[84,28,252,253,254],"植被指数","北极苔原","灌木扩张",[256,257],"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","10.1088\u002F2752-664x\u002Faea99e",{"doi":259,"openalex_id":261,"authors":262,"venue":245,"cited_by_count":36,"oa_url":296,"card":297,"direction":61,"ingested_from":63},"W7213598351",[263,266,269,271,273,276,279,282,285,288,290,293],{"name":264,"orcid":265},"Elias Koivisto","https:\u002F\u002Forcid.org\u002F0009-0007-6204-0963",{"name":267,"orcid":268},"Anton Kuzmin","https:\u002F\u002Forcid.org\u002F0000-0001-5066-5535",{"name":270,"orcid":9},"Logan Berner",{"name":272,"orcid":9},"Jeff T Kerby",{"name":274,"orcid":275},"Mariana Verdonen","https:\u002F\u002Forcid.org\u002F0000-0001-9780-0052",{"name":277,"orcid":278},"Anna Skarin","https:\u002F\u002Forcid.org\u002F0000-0003-3221-1024",{"name":280,"orcid":281},"Tiina H. M. Kolari","https:\u002F\u002Forcid.org\u002F0000-0003-0955-2402",{"name":283,"orcid":284},"Teemu Tahvanainen","https:\u002F\u002Forcid.org\u002F0000-0002-7856-299X",{"name":286,"orcid":287},"Pasi Korpelainen","https:\u002F\u002Forcid.org\u002F0009-0005-9956-6016",{"name":289,"orcid":9},"Miguel Villosada",{"name":291,"orcid":292},"Bruce C. Forbes","https:\u002F\u002Forcid.org\u002F0000-0002-4593-5083",{"name":294,"orcid":295},"Timo Kumpula","https:\u002F\u002Forcid.org\u002F0000-0002-2716-7420","https:\u002F\u002Fiopscience.iop.org\u002Farticle\u002F10.1088\u002F2752-664X\u002Faea99e\u002Fpdf",{"tldr":298,"method":299,"finding":300,"direction":61,"opportunity":301},"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。","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。","2026-09-21T23:30:27.685080Z",{"id":304,"title":305,"url":306,"summary":307,"summary_zh":308,"content":9,"source_name":309,"source_url":306,"published_at":193,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":310,"score_detail":311,"sources":314,"tags":316,"search_phrases":321,"slug":324,"view_count":36,"doi":325,"paper":326,"created_at":337},3080,"Analysis of Habitat Quality Changes and Their Driving Factors in Rock Desertification Control Areas of Guizhou Province","https:\u002F\u002Fdoi.org\u002F10.22158\u002Fse.v11n4p24","Habitat quality affects the functioning of ecosystems, and analyzing its evolution characteristics and driving factors is important for regional ecological management. This study, based on multi-source remote sensing data and using methods such as the InVEST model and geographic detectors, explores the spatial and temporal evolution of habitat quality in the rocky desertification control area and quantifies the influence of various driving factors. The study found that: (1) from 2000 to 2024, the overall habitat quality in Guizhou's rocky desertification control area showed a slow upward trend, with significant spatial heterogeneity in its distribution.(2) during 2000-2024, the habitat quality level remained generally high, with areas of high-quality habitat gradually expanding and poorly rated habitat areas gradually improving through management.(3) from 2000 to 2024, habitat quality in the study area was driven by both natural and human factors, with human activity gradually becoming the dominant influence. Evaluating the habitat quality in Guizhou's rocky desertification control area allows us to quantify the impact of ecological management on regional habitat quality, providing a theoretical basis and data support for rocky desertification control.","生境质量影响生态系统功能的发挥，分析其演变特征及驱动因素对区域生态管理具有重要意义。本研究基于多源遥感数据，运用InVEST模型和地理探测器等方法，探究石漠化治理区生境质量的时空演变，并量化各驱动因素的影响程度。研究发现：(1)2000—2024年，贵州石漠化治理区生境质量整体呈缓慢上升趋势，其分布具有显著的空间异质性。(2)2000—2024年间，生境质量等级总体较高，高质量生境面积逐步扩大，低等级生境区域通过治理逐步改善。(3)2000—2024年，研究区生境质量受自然因素和人为因素共同驱动，人为活动逐渐成为主导影响因素。评估贵州石漠化治理区生境质量，可以量化生态治理对区域生境质量的影响，为石漠化治理提供理论依据和数据支撑。","Sustainability in Environment",75,{"impact":164,"substance":312,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":313},21,"基于多源遥感与InVEST模型量化贵州石漠化治理区生境质量演变及驱动因素，方法规范、数据跨度长，对区域生态治理有参考价值，但属区域案例研究，公共影响有限。",[315],{"name":309,"url":306},[317,318,28,319,320],"贵州","生态修复","石漠化治理","生境质量",[322,323],"贵州 石漠化治理 生境质量","InVEST模型 遥感 石漠化","贵州石漠化治理生境质量-3080","10.22158\u002Fse.v11n4p24",{"doi":325,"openalex_id":327,"authors":328,"venue":309,"cited_by_count":36,"oa_url":331,"card":332,"direction":61,"ingested_from":63},"W7213557746",[329],{"name":330,"orcid":9},"Xiaoyue Wang","https:\u002F\u002Fwww.scholink.org\u002Fojs\u002Findex.php\u002Fse\u002Farticle\u002Fdownload\u002F58083\u002F14067",{"tldr":333,"method":334,"finding":335,"direction":61,"opportunity":336},"基于多源遥感与InVEST模型，分析贵州石漠化治理区生境质量时空演变及驱动因素。","多源遥感数据、InVEST模型、地理探测器。","2000-2024年生境质量缓慢上升，空间异质性显著，人为活动渐成主导驱动力。","可结合多时相遥感与机器学习，预测不同治理情景下生境质量演变，优化生态修复策略。","2026-09-21T23:30:27.396495Z"]