[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2171":3,"related-2171":63},{"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":18,"tags":20,"primary_topic":9,"secondary_topics":25,"classification":26,"search_phrases":39,"slug":42,"view_count":15,"doi":43,"paper":44,"created_at":62},2171,"Hydraulic geometry analyses of the Kohora River, Assam, India","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44288-026-00719-8","The Hydraulic geometry is crucial for understanding the hydrodynamic behavior in fluvial system. The present research analyzes the variation of hydraulic geometry parameters at-a-station and downstream sites along the Kohora River, Assam (India) aiming to quantify the exponential correlation between these parameters and the river’s flow discharge. For this research, six hydrological stations C1,C2,C3,C4,C5 and C6 are utilized to investigate the cross sectional hydraulic properties of Kohora River which are located at various sites along the river course. For each cross-section, a range of hydraulic geometry parameters including width, depth and velocity are recorded at different locations, and subsequent discharge is computed based on these parameters. To complement field-based observations, Landsat 8 satellite imagery (30 m spatial resolution) was processed using ArcGIS 10.7.1 to assess the river basin characteristics. The vegetation characteristics were examined by applying the Normalized Difference Vegetation Index (NDVI), while surface water extent and moisture variability were analyzed through the Normalized Difference Water Index (NDWI), providing supporting insights into catchment conditions influencing fluvial processes. Based on the present study, the mean values of exponents b, f, m which represent the scaling rates of change in width, depth and velocity were determined to be 0.334, 0.538 and 0.134 while the average values of coefficients a, c, k were noted to be 4.46, 0.56, 0.40 for at-a-station hydraulic geometry. For downstream hydraulic geometry, the exponents b, f, and m were 0.2, 0.4, and 0.4, while the coefficients a, c, and k were 5.19, 0.57, and 0.35. These values indicate a positive exponential relationship between the downstream hydraulic geometry parameters and flow discharge in Kohora River. The outcome of the present study is expected to be applicable to improving the watershed management of the river basin.","水力几何关系对于理解河流系统中的水动力行为至关重要。本研究分析了印度阿萨姆邦科霍拉河沿程站点和下游站点的水力几何参数变化，旨在量化这些参数与河流流量之间的指数相关关系。本研究利用C1、C2、C3、C4、C5和C6六个水文站，对科霍拉河沿河不同位置的断面水力特性进行了调查。对于每个断面，在不同位置记录了包括宽度、水深和流速在内的一系列水力几何参数，并据此计算了相应流量。为补充实地观测，利用ArcGIS 10.7.1处理了Landsat 8卫星影像（30 m空间分辨率），以评估流域特征。通过归一化植被指数（NDVI）考察植被特征，同时通过归一化水体指数（NDWI）分析地表水体范围和水分变异性，为影响河流过程的集水区条件提供了辅助认识。基于本研究，代表宽度、水深和流速变化缩放率的指数b、f、m的均值分别为0.334、0.538和0.134，而站点水力几何关系的系数a、c、k的平均值分别为4.46、0.56和0.40。对于下游水力几何关系，指数b、f和m分别为0.2、0.4和0.4，系数a、c和k分别为5.19、0.57和0.35。这些数值表明，科霍拉河下游水力几何参数与流量之间存在正指数关系。本研究成果有望应用于改善该流域的流域管理。",null,"Discover Geoscience","2026-09-09T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"印度河流水文几何论文，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[19],{"name":10,"url":6},[21,22,23,24],"NDVI","遥感监测","水文分析","流域管理",[],{"status":27,"locked":14,"version":28,"method":29,"evidence":30},"needs_review","2026-10-22.2","rules",{"candidates":31,"agricultural_evidence":14,"reason":38},[32],{"code":33,"score":34,"supported":14,"title":35,"abstract":36,"tags":37},"I3",2,[],[],[21,22],"农业相关性需要复核",[40,41],"水文分析 流域管理 遥感监测 NDVI","水文分析 流域管理","水文分析流域管理遥感监测NDVI-2171","10.1007\u002Fs44288-026-00719-8",{"doi":43,"openalex_id":45,"authors":46,"venue":10,"cited_by_count":15,"oa_url":54,"card":55,"direction":59,"ingested_from":61},"W7212051368",[47,49,52],{"name":48,"orcid":9},"S. Rai Choudhury",{"name":50,"orcid":51},"Niranjan Bhattacharjee","https:\u002F\u002Forcid.org\u002F0000-0003-4205-0682",{"name":53,"orcid":9},"Dharitri Choudhury","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44288-026-00719-8.pdf",{"tldr":56,"method":57,"finding":58,"direction":59,"opportunity":60},"分析印度科霍拉河的水力几何参数，量化其与流量的指数关系。","6个水文站实测断面参数，结合Landsat 8影像与NDVI\u002FNDWI分析。","站点与下游水力几何参数均与流量呈正指数关系，下游指数b=0.2、f=0.4、m=0.4。","农业遥感与作物表型","可结合遥感与水文模型，研究河流水力几何对流域农业灌溉与洪泛区管理的影响。","openalex","2026-09-11T23:30:31.628460Z",{"total":64,"page":65,"page_size":64,"items":66},6,1,[67,142,192,258,343,409],{"id":68,"title":69,"url":70,"summary":71,"summary_zh":72,"content":9,"source_name":73,"source_url":70,"published_at":74,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":75,"score_detail":76,"sources":82,"tags":84,"primary_topic":9,"secondary_topics":88,"classification":89,"search_phrases":120,"slug":123,"view_count":15,"doi":124,"paper":125,"created_at":141},5481,"Comparison of Satellite-Based Drought Monitoring Indicators (NDVI, NDMI, and LST): The Case of the Northern Aegean Drainage Basin","https:\u002F\u002Fdoi.org\u002F10.30910\u002Fturkjans.2010067","Thanks to advancements in technology, satellite remote sensing provides a valuable means of monitoring the spatial and temporal responses of vegetation, surface moisture conditions, and land surface temperature to drought. Its capacity to monitor large areas with high temporal continuity significantly eliminates the spatial limitations of ground observations. This allows for the simultaneous and comparable analysis of key variables such as vegetation dynamics, soil moisture, and land surface temperature. Indicators such as the Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), and Land Surface Temperature (LST) provide complementary information on vegetation condition, surface moisture, and thermal stress, thereby supporting drought monitoring. This integrated monitoring framework supports the sustainable management of water resources while strengthening the scientific basis of decision-making processes, significantly contributing to disaster risk reduction. This study comparatively evaluates NDVI, NDMI, and LST values derived from Landsat 8 data obtained in March, April, and May between 2019 and 2022, and examines the relationships between these variables across the Northern Aegean Drainage Basin (NADB). The results show increasingly strong negative relationships between LST and the spectral indices from March to May, with the strongest correlations observed in May for NDMI–LST (r = −0.78) and NDVI–LST (r = −0.74). The NDMI-LST relationship can be said to be slightly better than the NDVI-LST relationship. The correlation coefficient between NDMI and NDVI was calculated to be lowest in March at r=0.54 and highest in May at r=0.90. It was determined that areas with high LST values had lower NDVI and NDMI values. Drought monitoring using remote sensing methods is important in terms of time and accuracy, but it is not sufficient on its own. In addition to problems arising from satellite imagery, land surfaces are affected by short-term climatic factors. Therefore, the indices obtained from satellite images must be evaluated together with meteorological and terrestrial data. However, it is thought that satellite-based drought monitoring will produce more reliable results under current technological and methodological conditions.","得益于技术进步，卫星遥感为监测植被、地表水分状况和地表温度对干旱的时空响应提供了重要手段。其大范围、高时间连续性的监测能力显著消除了地面观测的空间局限性，使得植被动态、土壤水分和地表温度等关键变量能够被同步、可比地分析。归一化差异植被指数（NDVI）、归一化差异水分指数（NDMI）和地表温度（LST）等指标提供了关于植被状况、地表水分和热胁迫的互补信息，从而支持干旱监测。这一综合监测框架既支持水资源的可持续管理，又增强了决策过程的科学基础，对减少灾害风险具有重要贡献。本研究对2019年至2022年3月、4月和5月获取的Landsat 8数据所衍生的NDVI、NDMI和LST值进行了比较评估，并考察了北爱琴海流域（NADB）内这些变量之间的关系。结果表明，从3月到5月，LST与光谱指数之间的负相关关系日益增强，5月观测到最强相关性，NDMI–LST（r = −0.78）和NDVI–LST（r = −0.74）。可以认为NDMI-LST关系略优于NDVI-LST关系。NDMI与NDVI之间的相关系数在3月最低（r=0.54），5月最高（r=0.90）。研究确定，LST值较高的区域其NDVI和NDMI值较低。利用遥感方法进行干旱监测在时间和精度方面具有重要意义，但仅靠其自身并不充分。除卫星影像带来的问题外，地表还受到短期气候因素的影响。因此，从卫星影像获得的指数必须与气象和地面数据结合评估。然而，可以认为在当前技术和方法条件下，基于卫星的干旱监测将产生更可靠的结果。","Türk Tarım ve Doğa Bilimleri Dergisi","2026-10-19T00:00:00Z",61,{"impact":77,"substance":78,"depth":79,"authority":80,"freshness":77,"relevant":65,"comment":81},8,18,15,12,"方法对比扎实、结论明确，但属区域案例研究，公共影响有限，适合作为遥感干旱监测主题的补充素材而非头条精选。",[83],{"name":73,"url":70},[21,22,85,86,87],"干旱监测","NDMI","LST",[],{"status":27,"locked":14,"version":28,"method":29,"evidence":90},{"candidates":91,"agricultural_evidence":14,"reason":38},[92,100,106,113],{"code":93,"score":79,"supported":94,"title":95,"abstract":97,"tags":99},"H7",true,[96],"drought",[98,96],"干旱",[85],{"code":33,"score":77,"supported":94,"title":101,"abstract":102,"tags":105},[],[103,104],"遥感","remote sensing",[21,22],{"code":107,"score":64,"supported":94,"title":108,"abstract":109,"tags":112},"H2",[],[110,111],"土壤","soil",[],{"code":114,"score":115,"supported":94,"title":116,"abstract":117,"tags":119},"H3",3,[],[118],"水资源",[],[121,122],"北爱琴海流域 干旱监测","干旱监测 遥感监测 NDMI NDVI","北爱琴海流域干旱监测-5481","10.30910\u002Fturkjans.2010067",{"doi":124,"openalex_id":126,"authors":127,"venue":73,"cited_by_count":15,"oa_url":134,"card":135,"direction":140,"ingested_from":61},"W7222954725",[128,131],{"name":129,"orcid":130},"Arman Monshizadeh Karimi","https:\u002F\u002Forcid.org\u002F0000-0002-2945-5346",{"name":132,"orcid":133},"İ̇smail Taş","https:\u002F\u002Forcid.org\u002F0000-0003-0872-2529","https:\u002F\u002Fdergipark.org.tr\u002Fen\u002Fdownload\u002Farticle-file\u002F6296754",{"tldr":136,"method":137,"finding":138,"direction":59,"opportunity":139},"比较Landsat 8的NDVI、NDMI与LST三种遥感干旱指标在北爱琴海流域的相关性。","用2019-2022年3-5月Landsat 8数据计算NDVI、NDMI、LS","LST与NDMI、NDVI负相关随春季增强，5月最强（r=-0.78、-0.74），NDMI略优。","可融合气象与地面数据构建多源干旱指数，并验证NDMI-LST关系在其他气候区的普适性。","智慧农业 \u002F 农业物联网","2026-10-21T23:30:10.758669Z",{"id":143,"title":144,"url":145,"summary":146,"summary_zh":147,"content":9,"source_name":148,"source_url":145,"published_at":149,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":150,"score_detail":151,"sources":154,"tags":156,"primary_topic":9,"secondary_topics":160,"classification":161,"search_phrases":175,"slug":178,"view_count":15,"doi":179,"paper":180,"created_at":191},5182,"Land Use Land Cover (LULC) Change Detection in Delhi NCT Using Multi-Sensor Satellite Data and Google Earth Engine","https:\u002F\u002Fdoi.org\u002F10.21275\u002Fsr26903183702","Land Use Land Cover (LULC) change detection is essential for understanding the dynamics of human modified landscapes and for supporting effective land management and urban planning. This study analyses LULC change across the Delhi National Capital Territory over a fifteen-year period, from 2010 to 2025, to assess urban sprawl and its environmental impact in one of India's fastest growing metropolitan regions. Multi temporal Landsat imagery was used as the primary data source, processed on Google Earth Engine, the cloud-based platform that enabled efficient handling and visualisation of large geospatial datasets. Five classes, built up area, agricultural land, vegetation, water, and barren land, were mapped and monitored, and classification accuracy was assessed for both dates. The Normalised Difference Vegetation Index was additionally employed to track vegetation vigour and ecological change. Results reveal a marked expansion of built-up areas alongside a substantial decline in agricultural and vegetated land, driven by peri urban growth along the northwestern and southwestern fringe. NDVI analysis shows rising greenness across the outer belt, reflecting more intensive cultivation on land that remains under crops, a pattern that complements rather than contradicts the measured loss of vegetated area. Combining classification based and an index-based approach provides a robust, scalable framework for LULC monitoring. By revealing where and how urban growth is reshaping the landscape, the study offers a transferable basis for environmental assessment, resource management, and sustainable urban planning in rapidly urbanising regions worldwide.","土地利用\u002F土地覆盖（LULC）变化检测对于理解人类改造景观的动态以及支撑有效的土地管理和城市规划至关重要。本研究分析了德里国家首都辖区在2010年至2025年十五年间的土地利用\u002F土地覆盖变化，以评估印度增长最快的大都市区之一的城市蔓延及其环境影响。研究以多时相Landsat影像作为主要数据源，在Google Earth Engine这一基于云的平台上进行处理，该平台能够高效处理和可视化大型地理空间数据集。研究对建成区、农业用地、植被、水体与裸地五个类别进行了制图和监测，并对两个时相的分类精度进行了评估。此外，研究采用归一化植被指数（NDVI）追踪植被长势与生态变化。结果表明，建成区显著扩张，农业用地和植被用地大幅减少，这一变化主要由西北部和西南部边缘的近郊增长所驱动。NDVI分析显示外围地带的绿度上升，反映出仍处于耕作状态的土地上集约化种植程度提高，这一格局与所测得的植被面积损失相辅相成而非相互矛盾。将基于分类的方法与基于指数的方法相结合，为土地利用\u002F土地覆盖监测提供了一个稳健且可扩展的框架。通过揭示城市增长在何处以及如何重塑景观，本研究为全球快速城市化地区的环境评估、资源管理和可持续城市规划提供了可迁移的基础。","International Journal of Science and Research (IJSR)","2026-10-15T00:00:00Z",62,{"impact":80,"substance":78,"depth":79,"authority":77,"freshness":152,"relevant":65,"comment":153},9,"方法可迁移的遥感LULC变化检测研究，对快速城市化地区土地管理有参考价值，但属区域案例、非三农核心议题。",[155],{"name":148,"url":145},[21,22,157,158,159],"土地利用","Google Earth Engine","城市化",[],{"status":162,"locked":14,"version":28,"method":29,"evidence":163},"unclassified",{"candidates":164,"agricultural_evidence":94,"reason":174},[165,169],{"code":33,"score":115,"supported":14,"title":166,"abstract":167,"tags":168},[],[],[158,21,22],{"code":170,"score":65,"supported":14,"title":171,"abstract":172,"tags":173},"H6",[],[],[157],"缺少足够的主题证据",[176,177],"德里 土地利用 遥感","Google Earth Engine 城市扩张","德里土地利用遥感-5182","10.21275\u002Fsr26903183702",{"doi":179,"openalex_id":181,"authors":182,"venue":148,"cited_by_count":15,"oa_url":185,"card":186,"direction":59,"ingested_from":61},"W7222341300",[183],{"name":184,"orcid":9},"Neil Rohatgi","https:\u002F\u002Fwww.ijsr.net\u002Farchive\u002Fv15i10\u002FSR26903183702.pdf",{"tldr":187,"method":188,"finding":189,"direction":59,"opportunity":190},"基于多时相Landsat与GEE分析德里国家首都辖区2010-2025年土地利用变化。","多时相Landsat影像、Google Earth Engine平台、五类分类与","建设用地显著扩张，农业与植被用地大幅减少，城郊西北和西南边缘增长驱动。","可结合分类与指数方法构建可迁移框架，拓展至城乡交错带耕地保护与可持续规划研究。","2026-10-17T23:30:31.767409Z",{"id":193,"title":194,"url":195,"summary":196,"summary_zh":197,"content":9,"source_name":198,"source_url":195,"published_at":149,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":199,"score_detail":200,"sources":205,"tags":207,"primary_topic":9,"secondary_topics":210,"classification":211,"search_phrases":226,"slug":229,"view_count":65,"doi":230,"paper":231,"created_at":257},5177,"Long-term associations between land-surface indicators and dust-storm occurrence along the margins of the Taklimakan Desert","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-75251-3","Land-surface change and atmospheric variability jointly shape dust activity in arid regions. We examined land-cover transitions, station dust-storm records, a Sentinel-1 backscatter index, meteorological variables from the fifth-generation European Centre for Medium-Range Weather Forecasts reanalysis (ERA5) and dust diagnostics from the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) along the margins of the Taklimakan Desert. Within the mapped domain, grassland increased from 9.45% in 1990 to 10.59% in 2023, while barren land decreased from 86.45% to 82.30%. Annual dust-storm-day trends were negative at 21 of 30 stations over available 1990–2024 records, and Sentinel-1 index trends were positive at 22 stations during 2015–2024. Mixed-effects path analysis of 3,804 station-month observations showed that the Sentinel-1 index was negatively associated with modelled dust emission (standardized coefficient = − 0.191; 95% confidence interval: −0.289 to − 0.043). The normalized difference vegetation index (NDVI) and friction velocity had the highest training-set feature importance in the random forest analysis.","地表变化与大气变率共同塑造了干旱地区的沙尘活动。我们沿塔克拉玛干沙漠边缘，研究了土地覆盖转变、台站沙尘暴记录、Sentinel-1后向散射指数、来自欧洲中期天气预报中心第五代再分析资料（ERA5）的气象变量，以及来自现代研究与应用回顾分析第2版（MERRA-2）的沙尘诊断量。在制图范围内，草地面积从1990年的9.45%增加到2023年的10.59%，而裸地面积从86.45%减少到82.30%。在1990—2024年现有记录中，30个台站中有21个台站的年沙尘暴日数呈下降趋势；2015—2024年间，22个台站的Sentinel-1指数呈上升趋势。对3804个台站—月观测值的混合效应路径分析表明，Sentinel-1指数与模拟沙尘排放呈负相关（标准化系数=−0.191；95%置信区间：−0.289至−0.043）。在随机森林分析中，归一化植被指数（NDVI）和摩擦速度在训练集中的特征重要性最高。","Scientific Reports",78,{"impact":201,"substance":202,"depth":78,"authority":203,"freshness":77,"relevant":65,"comment":204},16,22,14,"基于多源遥感与30站长期记录，量化地表指标与沙尘暴关联，方法扎实、数据规模可观，对干旱区生态监测有参考价值。",[206],{"name":198,"url":195},[21,208,22,157,209],"荒漠化","沙尘暴",[],{"status":27,"locked":14,"version":28,"method":29,"evidence":212},{"candidates":213,"agricultural_evidence":14,"reason":38},[214,218,222],{"code":93,"score":115,"supported":94,"title":215,"abstract":216,"tags":217},[],[98],[],{"code":170,"score":34,"supported":14,"title":219,"abstract":220,"tags":221},[],[],[157,208],{"code":33,"score":34,"supported":14,"title":223,"abstract":224,"tags":225},[],[],[21,22],[227,228],"塔克拉玛干沙漠 沙尘暴 遥感","Sentinel-1 土地覆盖 沙尘","塔克拉玛干沙漠沙尘暴遥感-5177","10.1038\u002Fs41598-026-75251-3",{"doi":230,"openalex_id":232,"authors":233,"venue":198,"cited_by_count":15,"oa_url":251,"card":252,"direction":59,"ingested_from":61},"W7222086957",[234,236,239,242,244,246,248],{"name":235,"orcid":9},"Yifei Wang",{"name":237,"orcid":238},"Wen Huo","https:\u002F\u002Forcid.org\u002F0000-0002-7861-2424",{"name":240,"orcid":241},"Mayibaier Maihamuti","https:\u002F\u002Forcid.org\u002F0009-0007-4084-5891",{"name":243,"orcid":9},"Fan Yang",{"name":245,"orcid":9},"Chenglong Zhou",{"name":247,"orcid":9},"Xinghua Yang",{"name":249,"orcid":250},"Ali Mamtimin","https:\u002F\u002Forcid.org\u002F0000-0001-7335-801X","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-75251-3_reference.pdf",{"tldr":253,"method":254,"finding":255,"direction":59,"opportunity":256},"分析塔克拉玛干沙漠边缘地表指标与沙尘暴发生的长期关联。","结合土地覆盖、站点沙尘记录、Sentinel-1后向散射、ERA5与MERRA-","站点沙尘日数多呈下降趋势，Sentinel-1指数与模拟沙尘排放显著负相关。","可引入多源遥感与机器学习量化地表变化对沙尘的因果贡献，并拓展至绿洲农业防护。","2026-10-17T23:30:30.235613Z",{"id":259,"title":260,"url":261,"summary":262,"summary_zh":263,"content":9,"source_name":264,"source_url":261,"published_at":265,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":266,"score_detail":267,"sources":270,"tags":272,"primary_topic":276,"secondary_topics":281,"classification":288,"search_phrases":316,"slug":319,"view_count":15,"doi":320,"paper":321,"created_at":342},5096,"Land Cover Change, Ecosystem Service Implications, and Economy–Land Use Decoupling:","https:\u002F\u002Fdoi.org\u002F10.14246\u002Firspsd.14.4_186","Land cover change plays a critical role in shaping watershed ecological conditions and supporting regional economic activities. This study analyzes land cover dynamics in the Tiworo Watershed, Southeast Sulawesi, Indonesia, for 2014, 2019, and 2024, and examines their relationship with sectoral economic growth. Remote sensing and GIS were used to map and quantify land cover changes, while sectoral Gross Regional Domestic Product (GRDP) data for agriculture, forestry, and fisheries represented economic performance. Economy–land use interactions were assessed using the Tapio decoupling elasticity index. Economy–land use interactions were assessed using the Tapio decoupling elasticity index as a retrospective empirical measure based on observed changes in land cover and sectoral GRDP over the study periods. The results show increasing sectoral GRDP accompanied by relatively limited changes in dominant land cover classes. Absolute decoupling was observed during 2014–2019, relative decoupling during 2019–2024, and overall absolute decoupling for 2014–2024, indicating that economic growth was not proportionally associated with large-scale land conversion. Spatial analysis reveals localized landscape transformations, including mangrove degradation, settlement expansion, and plantation growth, which signal emerging pressures on environmentally sensitive areas. Although ecosystem services are not directly valued, land cover change is interpreted as an indicator of ecological pressure with implications for provisioning ecosystem services. These findings highlight the importance of integrating land-use monitoring and economic indicators to support adaptive watershed management, spatial planning, and sustainable development.","土地覆盖变化在塑造流域生态状况和支撑区域经济活动方面发挥着关键作用。本研究分析了印度尼西亚东南苏拉威西省蒂沃罗流域（Tiworo Watershed）2014年、2019年和2024年的土地覆盖动态，并考察其与部门经济增长的关系。研究采用遥感和地理信息系统（GIS）对土地覆盖变化进行制图和量化，同时以农业、林业和渔业的部门地区生产总值（GRDP）数据表征经济表现。经济与土地利用的相互作用采用Tapio脱钩弹性指数进行评估，该指数作为基于研究期内观测到的土地覆盖变化和部门GRDP变化的回顾性经验测度。结果表明，部门GRDP持续增长，而主导土地覆盖类型的变化相对有限。2014—2019年呈现绝对脱钩，2019—2024年呈现相对脱钩，2014—2024年整体呈现绝对脱钩，表明经济增长与大规模土地转换之间不存在比例关联。空间分析揭示了局部景观转型，包括红树林退化、居民点扩张和种植园增长，这些信号表明环境敏感区域正面临新兴压力。尽管生态系统服务未被直接估值，但土地覆盖变化被解释为生态压力的指标，并对供给型生态系统服务具有潜在影响。这些发现凸显了整合土地利用监测与经济指标的重要性，以支持适应性流域管理、空间规划和可持续发展。","International Review for Spatial Planning and Sustainable Development","2026-10-14T00:00:00Z",63,{"impact":77,"substance":78,"depth":201,"authority":268,"freshness":77,"relevant":65,"comment":269},13,"基于遥感与GIS的流域土地利用变化与经济增长脱钩研究，方法规范但属区域案例，对国内三农信息化参考价值有限。",[271],{"name":264,"url":261},[22,273,24,274,275],"土地利用变化","生态系统服务","空间规划",{"code":170,"slug":277,"name":278,"path":279,"parent_code":280},"biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",[282],{"code":283,"slug":284,"name":285,"path":286,"parent_code":287},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",{"status":289,"locked":14,"version":28,"method":29,"evidence":290},"classified",{"candidates":291,"agricultural_evidence":94},[292,297,305,310],{"code":170,"score":268,"supported":94,"title":293,"abstract":295,"tags":296},[294],"ecosystem service",[274],[273,274],{"code":283,"score":13,"supported":94,"title":298,"abstract":299,"tags":304},[],[300,301,302,303],"地理信息","空间分析","GIS","spatial analysis",[275],{"code":33,"score":306,"supported":94,"title":307,"abstract":308,"tags":309},7,[],[103,104],[22],{"code":311,"score":115,"supported":94,"title":312,"abstract":313,"tags":315},"D",[],[314],"渔业",[],[317,318],"Tiworo流域 土地利用 遥感","Tapio脱钩 农业经济 土地覆盖","Tiworo流域土地利用遥感-5096","10.14246\u002Firspsd.14.4_186",{"doi":320,"openalex_id":322,"authors":323,"venue":264,"cited_by_count":15,"oa_url":336,"card":337,"direction":59,"ingested_from":61},"W7221789653",[324,327,330,333],{"name":325,"orcid":326},"Safril Kasim","https:\u002F\u002Forcid.org\u002F0009-0009-4679-4233",{"name":328,"orcid":329},"Hasddin Hasddin","https:\u002F\u002Forcid.org\u002F0000-0002-0114-5274",{"name":331,"orcid":332},"La Fariki","https:\u002F\u002Forcid.org\u002F0009-0003-7870-9028",{"name":334,"orcid":335},"Abhishek Agarwal","https:\u002F\u002Forcid.org\u002F0000-0002-0900-6383","https:\u002F\u002Fwww.jstage.jst.go.jp\u002Farticle\u002Firspsd\u002F14\u002F4\u002F14_9\u002F_pdf",{"tldr":338,"method":339,"finding":340,"direction":59,"opportunity":341},"分析印尼Tiworo流域2014-2024年土地覆盖变化与部门经济增长的脱钩关系。","遥感与GIS制图，结合GRDP数据和Tapio脱钩弹性指数。","经济持续增长但土地覆盖变化有限，整体呈绝对脱钩，局部红树林退化等生态压力显现。","可将脱钩指数与生态系统服务价值核算结合，量化流域生态压力并支撑空间规划。","2026-10-16T23:30:28.687070Z",{"id":344,"title":345,"url":346,"summary":347,"summary_zh":348,"content":9,"source_name":349,"source_url":346,"published_at":350,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":351,"score_detail":352,"sources":356,"tags":358,"primary_topic":9,"secondary_topics":361,"classification":362,"search_phrases":379,"slug":382,"view_count":65,"doi":383,"paper":384,"created_at":408},5012,"Evaluating Multi-Index Remote Sensing Frameworks for Drought Monitoring in Seasonally Dry Dipterocarp Deciduous Forests: A Case Study of Yok Don National Park, Vietnam","https:\u002F\u002Fdoi.org\u002F10.5755\u002Fj01.erem.82.3.44241","This study examined the effectiveness of the normalized difference vegetation index (NDVI), land surface temperature (LST), and their integrated indices in capturing dry-season drought dynamics in the dipterocarp deciduous forest ecosystems of Yok Don National Park from 2014 to 2024. Results indicate that individual remote-sensing indices captured drought processes but reflected different dimensions of drought conditions, with NDVI indicating canopy greenness and LST detecting early thermal stress. Integrated indices partially mitigated the limitations of single indicators during confirmed drought years by showing stronger correlations with reference data. The effectiveness of the integrated indices varied significantly depending on the integration framework. The spatial-normalization–based integration of NDVI and LST showed consistently strong correlations with surface evapotranspiration (ET), with correlation coefficients of approximately 0.8 across years, and was less sensitive to land-cover heterogeneity. In contrast, the triangular NDVI–LST space integration exhibited variable relationships with ET due to its sensitivity to edge definition and phenological shifts in dipterocarp deciduous forests. Phase-dependent behavior was observed, with integrated indices maintaining more stable relationships with ET during drying periods, while NDVI showed greater sensitivity under wetter conditions. The results also indicate that VHI demonstrated a more robust and stable performance than TVDI, suggesting its suitability as a primary indicator in heterogeneous forest environments. These findings provide practical guidance for drought monitoring in heterogeneous forest landscapes by identifying adaptive integration strategies tailored to different hydroclimatic conditions.","本研究考察了归一化差异植被指数（NDVI）、地表温度（LST）及其综合指数在捕捉2014至2024年 Yok Don 国家公园龙脑香落叶林生态系统旱季干旱动态方面的有效性。结果表明，单一遥感指数能够捕捉干旱过程，但反映的是干旱状况的不同维度，其中NDVI指示冠层绿度，LST探测早期热胁迫。综合指数在已确认的干旱年份中通过与参考数据表现出更强的相关性，部分缓解了单一指标的局限性。综合指数的有效性因集成框架的不同而差异显著。基于空间标准化的NDVI与LST集成与地表蒸散发（ET）表现出持续较强的相关性，各年份相关系数约为0.8，且对土地覆盖异质性较不敏感。相比之下，三角NDVI–LST空间集成与ET的关系多变，这是由于其边缘定义及龙脑香落叶林物候变化较为敏感。研究观察到相位依赖行为，综合指数在干旱期与ET保持更稳定的关系，而NDVI在较湿润条件下表现出更高的敏感性。结果还表明，VHI比TVDI表现出更稳健和稳定的性能，表明其适合作为异质森林环境中的主要指标。这些发现通过识别适应不同水文气候条件的自适应集成策略，为异质森林景观的干旱监测提供了实践指导。","Environmental Research Engineering and Management","2026-10-13T00:00:00Z",67,{"impact":77,"substance":353,"depth":354,"authority":268,"freshness":152,"relevant":65,"comment":355},20,17,"越南干旱区遥感监测方法学研究，方法新颖数据扎实，对农业遥感干旱监测有参考价值，但属区域性案例，公共影响有限。",[357],{"name":349,"url":346},[359,21,22,85,360],"农业遥感","森林生态",[],{"status":27,"locked":14,"version":28,"method":29,"evidence":363},{"candidates":364,"agricultural_evidence":14,"reason":38},[365,369,373],{"code":93,"score":79,"supported":94,"title":366,"abstract":367,"tags":368},[96],[98,96],[85],{"code":33,"score":203,"supported":94,"title":370,"abstract":371,"tags":372},[104],[103],[21,359,22],{"code":114,"score":64,"supported":94,"title":374,"abstract":375,"tags":378},[],[376,377],"蒸散发","evapotranspiration",[],[380,381],"Yok Don 国家公园 遥感 干旱","NDVI LST 干旱监测 森林","YokDon国家公园遥感干旱-5012","10.5755\u002Fj01.erem.82.3.44241",{"doi":383,"openalex_id":385,"authors":386,"venue":349,"cited_by_count":15,"oa_url":402,"card":403,"direction":59,"ingested_from":61},"W7221717828",[387,390,393,395,397,399],{"name":388,"orcid":389},"Mai Son Le","https:\u002F\u002Forcid.org\u002F0000-0002-5360-7119",{"name":391,"orcid":392},"Ha Thu Nguyen","https:\u002F\u002Forcid.org\u002F0000-0002-4490-308X",{"name":394,"orcid":9},"Hung Manh Nguyen",{"name":396,"orcid":9},"Huy Xuan Chu",{"name":398,"orcid":9},"Hoa Thanh Nguyen",{"name":400,"orcid":401},"Duy-Toan Dao","https:\u002F\u002Forcid.org\u002F0009-0003-6057-4436","https:\u002F\u002Ferem.ktu.lt\u002Findex.php\u002Ferem\u002Farticle\u002Fdownload\u002F44241\u002F23724",{"tldr":404,"method":405,"finding":406,"direction":59,"opportunity":407},"评估NDVI、LST及其集成指数在越南干旱季风落叶林干旱监测中的效果。","利用2014-2024年NDVI、LST遥感数据，构建空间归一化和三角空间集成指","空间归一化集成指数与ET相关性稳定（约0.8），VHI比TVDI更稳健，集成效果依赖框架。","可探索自适应集成框架在不同水热条件和异质景观下的干旱监测普适性。","2026-10-15T23:30:32.336137Z",{"id":410,"title":411,"url":412,"summary":413,"summary_zh":414,"content":9,"source_name":415,"source_url":412,"published_at":416,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":150,"score_detail":417,"sources":419,"tags":421,"primary_topic":9,"secondary_topics":424,"classification":425,"search_phrases":438,"slug":441,"view_count":65,"doi":442,"paper":443,"created_at":454},4827,"تحليل العلاقة بين الجفاف الموسمي وتناقص الغطاء النباتي واثره في تكرار الظواهر الغبارية في محافظة المثنى للمدة (1980-2025)","https:\u002F\u002Fdoi.org\u002F10.66026\u002Fksfnen31","تعتبر الظواهر الغبارية من الظواهر المناخية التي لها العديد من التأثيرات السلبية على البيئة والاقتصاد والصحة. والغرض من هذه الدراسة التحقق من العلاقة بين تكرار العواصف الرملية والغبار المتطاير والغبار العالق والعوامل المناخية خاصة في المواسم الجافة والرطبة ، وتحليل ودراسة إمكانية حدوث الظواهر الغبارية في منطقة الدراسة وتأثير العوامل المناخية على تكرار حدوثها. اتبعت الدراسة المنهج الوصفي التحليلي، وذلك من خلال الاعتماد على بيانات محطة السماوة المناخية خلال مدة الدراسة من ( 1980- 2025 ) والمحطات الضابطة النجف والديوانية وايضا على بيانات الاستشعار عن بعد الخاصة بالغطاء النباتي الـ NDVI . حيث بينت نتائج الدراسة ان الظروف المناخية تؤثر على التوزيع المكاني للظواهر الغبارية وتكرارها، كما واستخدمت الدراسة معاملات الارتباط لمعالجة البيانات وبيان اتجاه وقوة العلاقة بين الظاهرة المدروسة وأيهما اكثر تأثير من خلال المتغيرات المستقلة والعوامل المناخية المؤثرة فيها. وتوصلت الدراسة إلى ان مصفوفة الارتباط ذات علاقة موجبة قوية بين سرعة الرياح و العاصفة الغبارية أكثر من ارتباطها بأي متغير آخر إذ بلغ معامل الارتباط ( r= 0.79 )، كما ارتبطت إيجابياً بالغبار المتصاعد (r=0.72) والغبار العالق( (r=0.61اما العلاقة الارتباطية بين الرطوبة النسبية والامطار علاقة عك تمثلت منطقة الدراسة بمحافظة المثنى التي تقع في الجزء الجنوبي من العراق يحدها من الشمال محافظة القادسية ومن الشرق محافظتي البصرة وذي قار ومن الغرب محافظة النجف ومن الجنوب المملكة العربية السعودية ، تقع فلكياً بين دائرتي عرض(¢5 29°) ( ¢42 31°) شمالاً وخطي طول (¢50- 43°) و (¢32 -46°)[i] شرقاً كما في الخريطة (1) ، في حين تمثلت المدة الزمنية للظواهر الغبارية من (1980-2025) بالاعتماد على البيانات المناخية لمحطة السماوة و محطة النجف والديوانية كمحطات ضابطة . سية قوية . [i] - اشواق حسن حميد ، الاتجاه الحديث في عناصر المناخ وظواهره لمحافظة المثنى واثره في الجفاف للمدة ( 1987- 2020) ، مجلة الجامعة العراقية ، المجلد 46 ، العدد 2 ، 2023 ، ص 313.","沙尘现象是一种气候现象，对环境、经济和健康具有诸多负面影响。本研究旨在探讨沙尘暴、扬尘和悬浮尘埃发生频率与气候因素之间的关系，尤其是在干旱季和湿润季，并分析和研究研究区域内沙尘现象发生的可能性以及气候因素对其发生频率的影响。本研究采用描述性分析方法，依据萨马沃气候站在研究期（1980—2025年）的数据以及纳杰夫和迪瓦尼耶对照站的数据，同时依据植被归一化植被指数（NDVI）的遥感数据。研究结果表明，气候条件影响沙尘现象的空间分布及其发生频率。本研究还使用相关系数处理数据，说明所研究现象与各独立变量及影响气候因素之间关系的方向和强度，并判断哪个因素影响更大。研究发现，相关矩阵显示风速与沙尘暴之间存在强正相关关系，其相关性高于与其他任何变量的相关性，相关系数达到（r=0.79）；风速与扬尘（r=0.72）和悬浮尘埃（r=0.61）也呈正相关。至于相对湿度与降雨之间的相关关系则呈强负相关。研究区域为穆萨纳省，位于伊拉克南部，北邻卡迪西亚省，东接巴士拉省和济加尔省，西连纳杰夫省，南与沙特阿拉伯王国接壤。该省在天文位置上位于北纬（29°5′）至（31°42′）之间，东经（43°50′）至（46°32′）之间，如图1所示。沙尘现象的时间跨度则为（1980—2025年），依据萨马沃站以及作为对照站的纳杰夫站和迪瓦尼耶站的气候数据。","Journal Of Babylon Center for Humanities Studies","2026-10-11T00:00:00Z",{"impact":77,"substance":78,"depth":79,"authority":80,"freshness":152,"relevant":65,"comment":418},"基于1980-2025年气候与NDVI数据定量分析干旱、植被退化与沙尘频次关系，方法规范但属区域气候研究，与农业信息化关联偏弱。",[420],{"name":415,"url":412},[422,21,22,98,423],"气候变化","沙尘天气",[],{"status":27,"locked":14,"version":28,"method":29,"evidence":426},{"candidates":427,"agricultural_evidence":14,"reason":38},[428,433],{"code":33,"score":429,"supported":94,"title":430,"abstract":431,"tags":432},5,[],[103],[21,22],{"code":93,"score":434,"supported":94,"title":435,"abstract":436,"tags":437},4,[],[98],[422],[439,440],"穆萨纳省 沙尘 植被覆盖","NDVI 干旱 沙尘暴 伊拉克","穆萨纳省沙尘植被覆盖-4827","10.66026\u002Fksfnen31",{"doi":442,"openalex_id":444,"authors":445,"venue":415,"cited_by_count":15,"oa_url":448,"card":449,"direction":59,"ingested_from":61},"W7221436686",[446],{"name":447,"orcid":9},"حوراء راضي جاسم محمد","https:\u002F\u002Fbcchj.uobabylon.edu.iq\u002Findex.php\u002Fbcchj\u002Farticle\u002Fdownload\u002F4964\u002F5019",{"tldr":450,"method":451,"finding":452,"direction":59,"opportunity":453},"分析伊拉克穆萨纳省1980-2025年季节性干旱、植被减少与沙尘现象频率的关系。","利用气象站数据与NDVI遥感数据，采用描述性分析和相关系数法。","风速与沙尘暴相关性最强(r=0.79)，相对湿度和降雨与沙尘现象呈强负相关。","可结合多源遥感与机器学习，构建干旱-植被-沙尘耦合预警模型，并拓展到其他干旱区。","2026-10-13T23:30:25.135328Z"]