[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3084":3,"related-3084":67},{"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":66},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。",null,"International Journal of Digital Earth","2026-09-18T00:00:00Z","论文",10,false,80,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,14,8,1,"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。",[24],{"name":10,"url":6},[26,27,28,29,30],"长江流域","遥感监测","乡村文旅","生态遥感","可持续旅游",[32,33],"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",0,"10.1080\u002F17538947.2026.2735566",{"doi":36,"openalex_id":38,"authors":39,"venue":10,"cited_by_count":35,"oa_url":57,"card":58,"direction":64,"ingested_from":65},"W7213546376",[40,42,45,47,49,51,54],{"name":41,"orcid":9},"Xiaojuan Zhang",{"name":43,"orcid":44},"Zhe Chen","https:\u002F\u002Forcid.org\u002F0000-0001-7579-1968",{"name":46,"orcid":9},"Libin Guo",{"name":48,"orcid":9},"Guoyan Wang",{"name":50,"orcid":9},"Yongxiu Zhou",{"name":52,"orcid":53},"Hui Li","https:\u002F\u002Forcid.org\u002F0000-0002-3565-1773",{"name":55,"orcid":56},"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":59,"method":60,"finding":61,"direction":62,"opportunity":63},"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。","农业绿色发展与碳","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","openalex","2026-09-21T23:30:36.842989Z",{"total":68,"page":21,"page_size":68,"items":69},6,[70,105,170,206,246,294],{"id":71,"title":72,"url":73,"summary":74,"summary_zh":9,"content":9,"source_name":75,"source_url":9,"published_at":76,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":77,"score_detail":78,"sources":84,"tags":86,"search_phrases":91,"slug":94,"view_count":35,"doi":9,"paper":95,"created_at":104},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",76,{"impact":79,"substance":80,"depth":17,"authority":81,"freshness":82,"relevant":21,"comment":83},16,20,13,9,"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。",[85],{"name":75,"url":73},[87,88,89,27,90],"智慧农业","农业物联网","作物表型","大田作物",[92,93],"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":96,"venue":9,"cited_by_count":35,"oa_url":9,"card":97,"direction":101,"ingested_from":103},[],{"tldr":98,"method":99,"finding":100,"direction":101,"opportunity":102},"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。","农业遥感与作物表型","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":106,"title":107,"url":108,"summary":109,"summary_zh":110,"content":9,"source_name":111,"source_url":108,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":112,"score_detail":113,"sources":115,"tags":117,"search_phrases":122,"slug":125,"view_count":35,"doi":126,"paper":127,"created_at":169},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":20,"substance":18,"depth":17,"authority":81,"freshness":20,"relevant":21,"comment":114},"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。",[116],{"name":111,"url":108},[118,27,119,120,121],"气候变化","植被指数","北极苔原","灌木扩张",[123,124],"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":126,"openalex_id":128,"authors":129,"venue":111,"cited_by_count":35,"oa_url":163,"card":164,"direction":101,"ingested_from":65},"W7213598351",[130,133,136,138,140,143,146,149,152,155,157,160],{"name":131,"orcid":132},"Elias Koivisto","https:\u002F\u002Forcid.org\u002F0009-0007-6204-0963",{"name":134,"orcid":135},"Anton Kuzmin","https:\u002F\u002Forcid.org\u002F0000-0001-5066-5535",{"name":137,"orcid":9},"Logan Berner",{"name":139,"orcid":9},"Jeff T Kerby",{"name":141,"orcid":142},"Mariana Verdonen","https:\u002F\u002Forcid.org\u002F0000-0001-9780-0052",{"name":144,"orcid":145},"Anna Skarin","https:\u002F\u002Forcid.org\u002F0000-0003-3221-1024",{"name":147,"orcid":148},"Tiina H. M. Kolari","https:\u002F\u002Forcid.org\u002F0000-0003-0955-2402",{"name":150,"orcid":151},"Teemu Tahvanainen","https:\u002F\u002Forcid.org\u002F0000-0002-7856-299X",{"name":153,"orcid":154},"Pasi Korpelainen","https:\u002F\u002Forcid.org\u002F0009-0005-9956-6016",{"name":156,"orcid":9},"Miguel Villosada",{"name":158,"orcid":159},"Bruce C. Forbes","https:\u002F\u002Forcid.org\u002F0000-0002-4593-5083",{"name":161,"orcid":162},"Timo Kumpula","https:\u002F\u002Forcid.org\u002F0000-0002-2716-7420","https:\u002F\u002Fiopscience.iop.org\u002Farticle\u002F10.1088\u002F2752-664X\u002Faea99e\u002Fpdf",{"tldr":165,"method":166,"finding":167,"direction":101,"opportunity":168},"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":171,"title":172,"url":173,"summary":174,"summary_zh":175,"content":9,"source_name":176,"source_url":173,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":177,"score_detail":178,"sources":182,"tags":184,"search_phrases":189,"slug":192,"view_count":35,"doi":193,"paper":194,"created_at":205},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":79,"substance":179,"depth":180,"authority":81,"freshness":20,"relevant":21,"comment":181},21,17,"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。",[183],{"name":176,"url":173},[185,186,27,187,188],"贵州","生态修复","石漠化治理","生境质量",[190,191],"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":193,"openalex_id":195,"authors":196,"venue":176,"cited_by_count":35,"oa_url":199,"card":200,"direction":101,"ingested_from":65},"W7213557746",[197],{"name":198,"orcid":9},"Xiaoyue Wang","https:\u002F\u002Fwww.scholink.org\u002Fojs\u002Findex.php\u002Fse\u002Farticle\u002Fdownload\u002F58083\u002F14067",{"tldr":201,"method":202,"finding":203,"direction":101,"opportunity":204},"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",{"id":207,"title":208,"url":209,"summary":210,"summary_zh":211,"content":9,"source_name":212,"source_url":209,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":112,"score_detail":213,"sources":216,"tags":218,"search_phrases":222,"slug":225,"view_count":35,"doi":226,"paper":227,"created_at":245},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":214,"substance":80,"depth":180,"authority":214,"freshness":20,"relevant":21,"comment":215},12,"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。",[217],{"name":212,"url":209},[118,219,27,220,221],"NDVI","湿地生态","植被生产力",[223,224],"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":226,"openalex_id":228,"authors":229,"venue":212,"cited_by_count":35,"oa_url":239,"card":240,"direction":101,"ingested_from":65},"W7213557702",[230,233,236],{"name":231,"orcid":232},"Isabel Holland","https:\u002F\u002Forcid.org\u002F0000-0002-6416-7729",{"name":234,"orcid":235},"Kayla Stan","https:\u002F\u002Forcid.org\u002F0000-0002-2159-3090",{"name":237,"orcid":238},"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":241,"method":242,"finding":243,"direction":101,"opportunity":244},"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":247,"title":248,"url":249,"summary":250,"summary_zh":251,"content":9,"source_name":252,"source_url":249,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":253,"score_detail":254,"sources":257,"tags":259,"search_phrases":263,"slug":266,"view_count":35,"doi":267,"paper":268,"created_at":293},3078,"Carbon in the Canopy: An Aboveground Carbon Stock Assessment Using Remote Sensing and Forest Inventory Data of Reforested Sites in The City of Koronadal","https:\u002F\u002Fdoi.org\u002F10.54536\u002Fijfe.v2i1.7697","Reforestation is an important component to mitigate climate change because trees absorb carbon from the air and store it in their biomass. But even though people know that reforestation is good for the environment, there isn’t enough local data on how much carbon is stored in these areas, which makes it hard to tell how well they work to fight climate change. This study helped to fix the deficiency of local carbon stock data in reforested areas within the City of Koronadal by employing forest inventory data and remote sensing techniques. The study employed a quantitative research design that integrated field-based forest measurements with remote sensing analysis. NDVI results showed a positive relationship with field data, indicating that remote sensing is a useful tool in measuring NDVI. Measurements were done on tree species, diameter at breast height (DBH), height, and wood density in 200 m perimeter Barangay San Isidro, Barangay Assumption and Barangay San Jose. Allometric equations were used to determine aboveground biomass, which was further transformed into carbon stock according to IPCC. The Landsat 9 satellite images were provided in QGIS and used to compute the Normalized Difference Vegetation Index (NDVI) and to evaluate vegetation cover. The findings indicate a difference between the sites with Barangay San Jose (0.16 t C\u002Fha) and Barangay Assumption (NDVI 0.50) having higher biomass and carbon stock which are dominated mainly by Swietenia macrophylla (Mahogany) for monitoring forest biomass. The findings provide baseline information that can help local government units improve forest management such as the National Greening Program and support climate change mitigation efforts.","再造林是缓解气候变化的重要组成部分，因为树木能从空气中吸收碳并将其储存在生物量中。然而，尽管人们知道再造林对环境有益，但关于这些区域碳储量的本地数据仍然不足，这使得难以判断其在应对气候变化方面的实际效果。本研究通过采用森林清查数据和遥感技术，帮助弥补了科罗纳达尔市再造林区域本地碳储量数据的不足。本研究采用定量研究设计，将实地森林测量与遥感分析相结合。NDVI结果与实地数据呈正相关关系，表明遥感是测量NDVI的有效工具。在Barangay San Isidro、Barangay Assumption和Barangay San Jose周边200米范围内，对树种、胸径（DBH）、树高和木材密度进行了测量。采用异速生长方程确定地上生物量，并依据IPCC方法进一步转化为碳储量。在QGIS中提供Landsat 9卫星影像，用于计算归一化植被指数（NDVI）并评估植被覆盖状况。研究结果表明，各研究样地之间存在差异，其中Barangay San Jose（0.16 t C\u002Fha）和Barangay Assumption（NDVI 0.50）具有较高的生物量和碳储量，其主要优势树种为Swietenia macrophylla（桃花心木），可用于森林生物量监测。研究结果为地方政府单位改进森林管理（如国家绿化计划）和支持气候变化减缓工作提供了基线信息。","International Journal of Forestry and Ecosystem",61,{"impact":20,"substance":17,"depth":255,"authority":214,"freshness":20,"relevant":21,"comment":256},15,"该研究结合遥感与森林清查数据评估再造林碳储量，方法扎实、数据有增量，但属地方性案例，影响范围有限，可作为农业遥感与林业碳汇主题的参考素材。",[258],{"name":252,"url":249},[219,27,260,261,262],"林业碳汇","森林碳储量","再造林",[264,265],"Koronadal 再造林 碳储量","Landsat 9 NDVI 森林生物量","Koronadal再造林碳储量-3078","10.54536\u002Fijfe.v2i1.7697",{"doi":267,"openalex_id":269,"authors":270,"venue":252,"cited_by_count":35,"oa_url":287,"card":288,"direction":101,"ingested_from":65},"W7213557390",[271,273,275,277,279,281,283,285],{"name":272,"orcid":9},"Krizzel Jan A. Batislaon",{"name":274,"orcid":9},"Keth Lorenz Corre",{"name":276,"orcid":9},"Riz Jorich Franco",{"name":278,"orcid":9},"Zamantha Janylle Funa",{"name":280,"orcid":9},"Dannah Mae Pagod",{"name":282,"orcid":9},"Janne Paulo Panzo",{"name":284,"orcid":9},"Mia Joy A. Inocencio",{"name":286,"orcid":9},"Carlos F. Gaygay","https:\u002F\u002Fjournals.e-palli.com\u002Fhome\u002Findex.php\u002Fijfe\u002Farticle\u002Fdownload\u002F7697\u002F4071",{"tldr":289,"method":290,"finding":291,"direction":101,"opportunity":292},"结合森林清查与遥感评估Koronadal市再造林地地上碳储量。","样地实测DBH、树高、木材密度，异速生长方程与Landsat 9 NDVI。","NDVI与实测数据正相关，不同样地碳储量差异明显，San Jose与Assumption较高。","可扩展多时相遥感与机器学习，建立区域再造林碳汇动态监测与不确定性评估。","2026-09-21T23:30:27.222233Z",{"id":295,"title":296,"url":297,"summary":298,"summary_zh":299,"content":9,"source_name":300,"source_url":297,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":301,"score_detail":302,"sources":304,"tags":306,"search_phrases":310,"slug":313,"view_count":35,"doi":314,"paper":315,"created_at":331},3075,"Mapping and monitoring land usage changes of gum Arabic belt in armed conflict-disturbed areas to support sustainable management of the belt","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-69562-8","Abstract The Gum Arabic Belt (GAB) in Sudan play a key role in sustaining rural livelihoods, supporting biodiversity, and delivering essential ecosystem services. However, this fragile dryland ecosystem is increasingly threatened by armed conflict, large-scale displacement, land use changes, and environmental degradation. Therefore, this study assessed the status of GAB and gum production under conflict-induced stressors using an integrated methodology that combines meteorological, remote sensing, and participatory field survey data. Multi-temporal MODIS NDVI data (2000–2023) were analyzed to detect spatiotemporal changes in vegetation cover, particularly during peak growing seasons. Normalized Difference Vegetation Index (NDVI) trends were evaluated using five-year intervals, except for the last period (2020–2023) to accommodate the eco-anthropogenic signs of the current war. The results reveal that vegetation recovery across large portions of the GAB is correlated with land abandonment due to ongoing conflict and locals’ displacement. Across all assessed years, moderate vegetation class consistently dominated the landscape, particularly in 2020 and 2023, indicating a notable improvement in vegetation cover in recent years. A significant variation was observed in Gum yield, with higher production in 2005. The study underscores the urgent need for target restoration strategies and sustainable management policies. It also demonstrates the value of integrating earth observation data with local knowledge systems for conflict-sensitive environmental monitoring and policy formation in dryland regions.","摘要 苏丹的阿拉伯胶带（Gum Arabic Belt, GAB）在维持农村生计、支持生物多样性和提供关键生态系统服务方面发挥着重要作用。然而，这一脆弱的旱地生态系统正日益受到武装冲突、大规模流离失所、土地利用变化和环境退化的威胁。因此，本研究采用综合气象、遥感和参与式实地调查数据的方法，评估了冲突引发的压力因素下GAB及阿拉伯胶生产的状况。研究分析了多时相MODIS NDVI数据（2000–2023年），以检测植被覆盖的时空变化，尤其是生长旺季期间的变化。归一化植被指数（NDVI）趋势按五年间隔进行评估，但最后一个时段（2020–2023年）除外，以适应当前战争带来的生态-人为影响迹象。结果表明，GAB大部分地区的植被恢复与持续冲突和当地居民流离失所导致的土地撂荒相关。在所有评估年份中，中等植被等级始终主导景观，尤其是在2020年和2023年，表明近年来植被覆盖显著改善。阿拉伯胶产量存在显著差异，2005年产量较高。该研究强调迫切需要有针对性的恢复策略和可持续管理政策。研究还表明，将地球观测数据与当地知识系统相结合，对于旱地地区冲突敏感型环境监测和政策制定具有重要价值。","Scientific Reports",77,{"impact":79,"substance":179,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":303},"以MODIS NDVI长时序遥感结合实地调查评估冲突扰动下阿拉伯胶带植被与胶产量变化，方法扎实、结论有政策价值，但属区域案例研究，对国内三农信息化参考有限。",[305],{"name":300,"url":297},[219,27,307,308,309],"荒漠化防治","可持续管理","苏丹",[311,312],"苏丹 阿拉伯胶带 NDVI","MODIS NDVI 植被覆盖 冲突","苏丹阿拉伯胶带NDVI-3075","10.1038\u002Fs41598-026-69562-8",{"doi":314,"openalex_id":316,"authors":317,"venue":300,"cited_by_count":35,"oa_url":325,"card":326,"direction":101,"ingested_from":65},"W7213533975",[318,321,323],{"name":319,"orcid":320},"Elmugheira M. I. Mohammed","https:\u002F\u002Forcid.org\u002F0000-0003-0977-9156",{"name":322,"orcid":9},"Abdalrahman A. Ahmed",{"name":324,"orcid":9},"Faisal I. Musa","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-69562-8_reference.pdf",{"tldr":327,"method":328,"finding":329,"direction":101,"opportunity":330},"结合遥感与实地调查，评估苏丹武装冲突干扰下阿拉伯胶带土地覆被变化及胶产量。","多时相MODIS NDVI（2000–2023）与气象、参与式实地调查数据集成分","冲突导致人口流离与土地撂荒，反而使大部分区域植被恢复，胶产量年际波动大。","可探究冲突驱动撂荒下植被恢复的生态-社会机制，并开发冲突敏感型遥感监测与可持续管理模型。","2026-09-21T23:30:25.775307Z"]