[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5099":3,"related-5099":100},{"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,"primary_topic":9,"secondary_topics":32,"classification":33,"search_phrases":71,"slug":74,"view_count":56,"doi":75,"paper":76,"created_at":99},5099,"Geospatial analysis of land degradation and desertification in the semi-arid Shabelle River Basin, Somalia","https:\u002F\u002Fdoi.org\u002F10.1080\u002F10106049.2026.2746835","Land degradation and desertification pose major environmental challenges in semi-arid regions such as the Shabelle River Basin in Somalia. This study assessed vulnerability to land degradation and desertification from 2000 to 2025 using multi-temporal Landsat images, CHIRPS rainfall data, Google Earth Engine and GIS techniques. A Desertification Vulnerability Index (DVI) was developed by combining nine environmental indicators, including NDVI, SAVI, BSI, SI, NDBI, NDMI, MNDWI, LST and rainfall, using a weighted overlay analysis. Results indicate that large parts of the basin are vulnerable, with the Shabelle River corridor and southern regions comparatively less affected, while other areas show declines in vegetation and environmental health. The DVI shows a temporal trend toward higher vulnerability. It has been effectively used to assess spatial desertification vulnerability and validated with 341 reference points, showing good discrimination for 2000, 2015 and 2025.","土地退化与荒漠化是索马里谢贝利河流域等半干旱地区面临的主要环境挑战。本研究利用多时相Landsat影像、CHIRPS降雨数据、Google Earth Engine和GIS技术，评估了2000年至2025年土地退化与荒漠化的脆弱性。通过加权叠加分析，结合NDVI、SAVI、BSI、SI、NDBI、NDMI、MNDWI、LST和降雨量等九项环境指标，构建了荒漠化脆弱性指数(DVI)。结果表明，该流域大部分地区较为脆弱，谢贝利河走廊和南部地区受影响相对较小，而其他地区则呈现植被和环境健康下降的趋势。DVI显示出脆弱性随时间升高的趋势。该指数已有效用于评估空间荒漠化脆弱性，并通过341个参考点进行验证，在2000年、2015年和2025年均表现出良好的区分能力。",null,"Geocarto International","2026-10-14T00:00:00Z","论文",10,false,75,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,22,18,14,9,1,"基于多时相遥感和DVI指数的半干旱区土地退化评估，方法扎实、数据规模可观，对干旱区农业生态监测有参考价值，但区域局限于索马里，公共影响层级有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"土地退化","荒漠化","遥感监测","Google Earth Engine","干旱区农业",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"needs_review","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":14,"reason":70},[39,47,54,60,65],{"code":40,"score":41,"supported":42,"title":43,"abstract":44,"tags":46},"H7",4,true,[],[45],"干旱",[31],{"code":48,"score":49,"supported":42,"title":50,"abstract":51,"tags":53},"I4",3,[],[52],"GIS",[],{"code":55,"score":56,"supported":14,"title":57,"abstract":58,"tags":59},"I3",2,[],[],[30,29],{"code":61,"score":22,"supported":14,"title":62,"abstract":63,"tags":64},"H1",[],[],[27],{"code":66,"score":22,"supported":14,"title":67,"abstract":68,"tags":69},"H6",[],[],[28],"农业相关性需要复核",[72,73],"Shabelle River Basin 荒漠化","索马里 土地退化 遥感","ShabelleRiverBasin荒漠化-5099","10.1080\u002F10106049.2026.2746835",{"doi":75,"openalex_id":77,"authors":78,"venue":10,"cited_by_count":90,"oa_url":91,"card":92,"direction":96,"ingested_from":98},"W7221831999",[79,82,85,88],{"name":80,"orcid":81},"Ismail Mohamoud Ali","https:\u002F\u002Forcid.org\u002F0009-0008-7590-6428",{"name":83,"orcid":84},"Gabriel Tetteh","https:\u002F\u002Forcid.org\u002F0000-0003-3603-1952",{"name":86,"orcid":87},"Mahad Abdullahi Hussein","https:\u002F\u002Forcid.org\u002F0009-0002-4093-6308",{"name":89,"orcid":9},"Abdirahman Mohamed Nor",0,"https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Fpdf\u002F10.1080\u002F10106049.2026.2746835?needAccess=true",{"tldr":93,"method":94,"finding":95,"direction":96,"opportunity":97},"基于多时相遥感与GIS构建荒漠化脆弱性指数，评估索马里谢贝利河流域2000-2025年土地退化与荒漠","Landsat影像、CHIRPS降雨、Google Earth Engine与G","流域大部分区域脆弱，DVI呈升高趋势，谢贝利河走廊和南部相对较轻，341个参考点验证效果良好。","农业遥感与作物表型","可引入机器学习与高分辨率时序数据提升DVI预测精度，并耦合社会经济因素分析驱动机制。","openalex","2026-10-16T23:30:30.183766Z",{"total":101,"page":22,"page_size":101,"items":102},6,[103,183,258,307,368,428],{"id":104,"title":105,"url":106,"summary":107,"summary_zh":108,"content":9,"source_name":109,"source_url":106,"published_at":110,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":111,"score_detail":112,"sources":116,"tags":118,"primary_topic":121,"secondary_topics":126,"classification":127,"search_phrases":155,"slug":158,"view_count":49,"doi":159,"paper":160,"created_at":182},3892,"Monitoring sand encroachment in south-western Algeria (2019-2025) using Sentinel-2 imagery and a Random Forest classifier on Google Earth Engine","https:\u002F\u002Fdoi.org\u002F10.15243\u002Fjdmlm.2026.134.11367","Sand encroachment is among the most significant processes of land degradation in arid and semi-arid regions, producing complex spatial and temporal dynamics as dune formations expand at the expense of pastoral and agricultural land. This study used Sentinel-2 imagery and Random Forest classification on the Google Earth Engine (GEE) platform to map and analyse land-cover change in the wilayas of El-Bayadh and Naâma (south-western Algeria) between 2019 and 2025. Supervised classification of Sentinel-2A imagery produced land-cover maps for 2019 and 2025 (overall accuracy 88.9% and 91.5%; Kappa 0.87 and 0.90, respectively). Transition matrices quantified flows to and from the 'Dunes and Shifting Sands' class. Dune formations remained relatively stable, with 5.37 million ha unchanged, while the class expanded by 219,458 ha (+3.7%) overall. This expansion was predominantly fed by conversion from grazing land (627,335 ha), bare soil (57,395 ha) and agricultural land (32,959 ha), reflecting intensifying desertification linked to climate variability, overgrazing, deforestation and cropland abandonment. Conversely, 455,993 ha of former dune surfaces reverted to grazing land and 86,631 ha to bare soil, corresponding mainly to areas where natural vegetation recovered or where biological dune-fixation works were implemented. These results confirm the value of multi-temporal remote sensing combined with GEE for monitoring large-scale land degradation. Critically, the study identifies management opportunities: areas undergoing dune stabilization through vegetation recovery or anti-desertification engineering provide model zones for scaled intervention.","沙丘入侵是干旱和半干旱地区最重要的土地退化过程之一，随着沙丘地貌以牺牲牧草地和农用地为代价不断扩张，产生了复杂的时空动态。本研究利用Sentinel-2影像和随机森林分类方法，在Google Earth Engine（GEE）平台上对阿尔及利亚西南部埃尔贝亚德省和纳马省2019年至2025年间的土地覆盖变化进行了制图与分析。对Sentinel-2A影像进行监督分类，生成了2019年和2025年的土地覆盖图（总体精度分别为88.9%和91.5%；Kappa系数分别为0.87和0.90）。通过转移矩阵量化了“沙丘与流沙”类别的流入与流出。沙丘地貌总体保持相对稳定，537万公顷未发生变化，但该类别整体扩张了219,458公顷（+3.7%）。这一扩张主要来源于牧草地（627,335公顷）、裸土（57,395公顷）和农用地（32,959公顷）的转化，反映出与气候变率、过度放牧、森林砍伐和耕地撂荒相关的荒漠化加剧。相反，455,993公顷的原沙丘表面恢复为牧草地，86,631公顷恢复为裸土，主要对应自然植被恢复或生物固沙工程实施的区域。这些结果证实了多时相遥感结合GEE在大尺度土地退化监测中的价值。重要的是，本研究识别了管理机遇：通过植被恢复或防沙治沙工程实现沙丘固定的区域，为规模化干预提供了示范样区。","Journal of Degraded and Mining Lands Management","2026-10-01T00:00:00Z",78,{"impact":113,"substance":18,"depth":19,"authority":114,"freshness":21,"relevant":22,"comment":115},16,13,"基于Sentinel-2与随机森林的阿尔及利亚西南部沙丘入侵监测研究，方法成熟、数据详实，对荒漠化遥感监测有参考价值，但区域性强、与国内三农信息化关联较弱。",[117],{"name":109,"url":106},[119,27,29,30,120],"Sentinel-2","荒漠化防治",{"code":55,"slug":122,"name":123,"path":124,"parent_code":125},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":128,"locked":14,"version":35,"method":36,"evidence":129},"classified",{"candidates":130,"agricultural_evidence":42},[131,137,143,147,151],{"code":55,"score":21,"supported":42,"title":132,"abstract":133,"tags":136},[],[134,135],"遥感","remote sensing",[30,119,29],{"code":138,"score":49,"supported":42,"title":139,"abstract":140,"tags":142},"H2",[],[141],"soil",[],{"code":40,"score":49,"supported":42,"title":144,"abstract":145,"tags":146},[],[45],[],{"code":61,"score":22,"supported":14,"title":148,"abstract":149,"tags":150},[],[],[27],{"code":66,"score":22,"supported":14,"title":152,"abstract":153,"tags":154},[],[],[120],[156,157],"阿尔及利亚 沙丘入侵 Sentinel-2","El-Bayadh Naâma 土地覆盖变化","阿尔及利亚沙丘入侵Sentinel-2-3892","10.15243\u002Fjdmlm.2026.134.11367",{"doi":159,"openalex_id":161,"authors":162,"venue":109,"cited_by_count":90,"oa_url":106,"card":177,"direction":96,"ingested_from":98},"W7214937065",[163,166,169,172,174],{"name":164,"orcid":165},"Naîmi Bendouina","https:\u002F\u002Forcid.org\u002F0000-0002-9776-1660",{"name":167,"orcid":168},"Lakhdar Guérine","https:\u002F\u002Forcid.org\u002F0000-0003-0836-2703",{"name":170,"orcid":171},"Nassira Boukaya","https:\u002F\u002Forcid.org\u002F0000-0002-6201-3523",{"name":173,"orcid":9},"Djallal Moumen",{"name":175,"orcid":176},"Omar Belabid","https:\u002F\u002Forcid.org\u002F0000-0002-7736-2259",{"tldr":178,"method":179,"finding":180,"direction":96,"opportunity":181},"基于Sentinel-2与随机森林监测阿尔及利亚西南部2019-2025年沙丘侵占与土地覆盖变化。","Sentinel-2影像、随机森林分类、Google Earth Engine、","沙丘面积增21.9万公顷（+3.7%），主要来自牧草地、裸土和耕地，同时部分沙地经植被恢复固定。","可结合多源时序遥感与治沙工程数据，量化生物固沙措施的长期成效并识别可推广的修复优先区。","2026-10-01T23:30:27.844225Z",{"id":184,"title":185,"url":186,"summary":187,"summary_zh":188,"content":9,"source_name":189,"source_url":186,"published_at":190,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":191,"score_detail":192,"sources":196,"tags":198,"primary_topic":202,"secondary_topics":206,"classification":207,"search_phrases":231,"slug":234,"view_count":90,"doi":235,"paper":236,"created_at":257},5490,"Biochar for post-war land remediation in Ukraine: A critical review supported by bibliometric analysis","https:\u002F\u002Fdoi.org\u002F10.1093\u002Finteam\u002Fvjag167","This critical review analyzes the current state of scientific research on biochar in Europe and examines its potential use for post-war restoration and improvement of soil fertility in Ukraine. A bibliometric analysis of scientific publications in the Scopus and Web of Science databases for the period 2014-2023 was conducted using VOSviewer visualization and data processing methods. The analysis identified the main areas of research and gaps in knowledge that are relevant to the future application of this technology in Ukraine. Moreover, remote sensing methodologies were employed to identify potential remediation requirements in the Ukrainian territory. This involved the analysis of changes in the normalized difference vegetation index (NDVI) and the normalized difference moisture index (NDMI) of a part of Ukraine's agricultural territory situated along the frontline, prior to and following a period of three years during a full-scale war. The results revealed changes in vegetation and moisture levels, indicating land degradation in the border area under study. However, these observations do not constitute direct evidence of soil contamination or the effectiveness of biochar; rather, they indicate areas where further field studies and an assessment of restoration measures are needed. A strengths, weaknesses, opportunities, and threats (SWOT) analysis was used as a strategic discussion tool to identify the opportunities and challenges associated with the implementation of biochar in Ukraine. This review also identifies the main scientific uncertainties, barriers, economic aspects, and research priorities that should be considered before the large-scale implementation of biochar-based technologies in Ukraine.","这篇批判性综述分析了欧洲生物炭（biochar）科学研究的现状，并探讨其在乌克兰战后恢复与土壤肥力提升中的潜在应用。研究采用VOSviewer可视化与数据处理方法，对Scopus和Web of Science数据库中2014—2023年的科学出版物进行了文献计量分析。分析识别了与该项技术在乌克兰未来应用相关的主要研究领域和知识空白。此外，研究采用遥感方法识别乌克兰境内潜在的修复需求，具体包括对乌克兰沿前线部分农业区域在全面战争前后三年期间的归一化植被指数（NDVI）和归一化水分指数（NDMI）变化进行分析。结果显示植被与水分水平发生变化，表明所研究边境地区存在土地退化。然而，这些观测结果并不构成土壤污染或生物炭有效性的直接证据，而是指示了需要进一步开展田间研究和评估修复措施的区域。研究采用优势、劣势、机会与威胁（SWOT）分析作为战略讨论工具，识别在乌克兰实施生物炭相关的机遇与挑战。本综述还明确了在乌克兰大规模实施基于生物炭的技术之前应考虑的主要科学不确定性、障碍、经济因素及研究优先事项。","Integrated Environmental Assessment and Management","2026-10-19T00:00:00Z",77,{"impact":113,"substance":193,"depth":19,"authority":20,"freshness":194,"relevant":22,"comment":195},21,8,"该综述结合文献计量与遥感NDVI\u002FNDMI分析，评估生物炭用于乌克兰战后农田修复的潜力与不确定性，方法新颖、结论审慎，对农业遥感与土壤治理具参考价值，但属区域性研究，未达重大突破层级。",[197],{"name":189,"url":186},[199,27,29,200,201],"生物炭","土壤修复","乌克兰农业",{"code":138,"slug":141,"name":203,"path":204,"parent_code":205},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",[],{"status":128,"locked":14,"version":35,"method":36,"evidence":208},{"candidates":209,"agricultural_evidence":42},[210,217,222,227],{"code":211,"score":20,"supported":42,"title":212,"abstract":214,"tags":216},"I7",[213],"bibliometric",[215,213],"文献计量",[],{"code":138,"score":194,"supported":42,"title":218,"abstract":219,"tags":221},[],[220,141],"土壤",[200,199],{"code":55,"score":223,"supported":42,"title":224,"abstract":225,"tags":226},7,[],[134,135],[29],{"code":61,"score":22,"supported":14,"title":228,"abstract":229,"tags":230},[],[],[27],[232,233],"生物炭 战后土壤修复 乌克兰","NDVI NDMI 遥感 土地退化","生物炭战后土壤修复乌克兰-5490","10.1093\u002Finteam\u002Fvjag167",{"doi":235,"openalex_id":237,"authors":238,"venue":189,"cited_by_count":90,"oa_url":9,"card":251,"direction":96,"ingested_from":98},"W7223053668",[239,242,245,248],{"name":240,"orcid":241},"Olha Shomko","https:\u002F\u002Forcid.org\u002F0000-0003-2418-0985",{"name":243,"orcid":244},"Iryna Davydova","https:\u002F\u002Forcid.org\u002F0000-0001-6535-3948",{"name":246,"orcid":247},"Marco Bartoli","https:\u002F\u002Forcid.org\u002F0000-0002-5022-6206",{"name":249,"orcid":250},"Elena Maestri","https:\u002F\u002Forcid.org\u002F0000-0002-8745-9564",{"tldr":252,"method":253,"finding":254,"direction":255,"opportunity":256},"综述生物炭用于乌克兰战后土地修复，结合文献计量与遥感分析。","Scopus\u002FWoS文献计量、VOSviewer、NDVI\u002FNDMI遥感与SWO","前线农区植被与湿度变化显示土地退化，但需田间验证生物炭效果。","农业绿色发展与碳","可研究战区土地退化的遥感快速诊断与生物炭修复效果的田间验证体系。","2026-10-21T23:30:25.223030Z",{"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":9,"secondary_topics":276,"classification":277,"search_phrases":290,"slug":293,"view_count":90,"doi":294,"paper":295,"created_at":306},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":17,"substance":19,"depth":268,"authority":194,"freshness":21,"relevant":22,"comment":269},15,"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。",[271],{"name":264,"url":261},[273,29,274,30,275],"NDVI","土地利用","城市化",[],{"status":278,"locked":14,"version":35,"method":36,"evidence":279},"unclassified",{"candidates":280,"agricultural_evidence":42,"reason":289},[281,285],{"code":55,"score":49,"supported":14,"title":282,"abstract":283,"tags":284},[],[],[30,273,29],{"code":66,"score":22,"supported":14,"title":286,"abstract":287,"tags":288},[],[],[274],"缺少足够的主题证据",[291,292],"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":294,"openalex_id":296,"authors":297,"venue":264,"cited_by_count":90,"oa_url":300,"card":301,"direction":96,"ingested_from":98},"W7222341300",[298],{"name":299,"orcid":9},"Neil Rohatgi","https:\u002F\u002Fwww.ijsr.net\u002Farchive\u002Fv15i10\u002FSR26903183702.pdf",{"tldr":302,"method":303,"finding":304,"direction":96,"opportunity":305},"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":308,"title":309,"url":310,"summary":311,"summary_zh":312,"content":9,"source_name":313,"source_url":310,"published_at":265,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":111,"score_detail":314,"sources":316,"tags":318,"primary_topic":9,"secondary_topics":320,"classification":321,"search_phrases":336,"slug":339,"view_count":22,"doi":340,"paper":341,"created_at":367},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",{"impact":113,"substance":18,"depth":19,"authority":20,"freshness":194,"relevant":22,"comment":315},"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。",[317],{"name":313,"url":310},[273,28,29,274,319],"沙尘暴",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":322},{"candidates":323,"agricultural_evidence":14,"reason":70},[324,328,332],{"code":40,"score":49,"supported":42,"title":325,"abstract":326,"tags":327},[],[45],[],{"code":66,"score":56,"supported":14,"title":329,"abstract":330,"tags":331},[],[],[274,28],{"code":55,"score":56,"supported":14,"title":333,"abstract":334,"tags":335},[],[],[273,29],[337,338],"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":340,"openalex_id":342,"authors":343,"venue":313,"cited_by_count":90,"oa_url":361,"card":362,"direction":96,"ingested_from":98},"W7222086957",[344,346,349,352,354,356,358],{"name":345,"orcid":9},"Yifei Wang",{"name":347,"orcid":348},"Wen Huo","https:\u002F\u002Forcid.org\u002F0000-0002-7861-2424",{"name":350,"orcid":351},"Mayibaier Maihamuti","https:\u002F\u002Forcid.org\u002F0009-0007-4084-5891",{"name":353,"orcid":9},"Fan Yang",{"name":355,"orcid":9},"Chenglong Zhou",{"name":357,"orcid":9},"Xinghua Yang",{"name":359,"orcid":360},"Ali Mamtimin","https:\u002F\u002Forcid.org\u002F0000-0001-7335-801X","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-75251-3_reference.pdf",{"tldr":363,"method":364,"finding":365,"direction":96,"opportunity":366},"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":369,"title":370,"url":371,"summary":372,"summary_zh":373,"content":9,"source_name":374,"source_url":371,"published_at":375,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":376,"score_detail":377,"sources":379,"tags":381,"primary_topic":384,"secondary_topics":388,"classification":389,"search_phrases":407,"slug":410,"view_count":22,"doi":411,"paper":412,"created_at":427},4756,"ديناميكيات وحساسية المناخ والغطاء النباتي في العراق باستخدام بيانات رصد الأرض طويلة الأمد","https:\u002F\u002Fdoi.org\u002F10.66026\u002Fy7543b35","تؤدي تغيرات المناخ إلى تكثيف الإجهاد الحراري والمائي عبر المناطق الجافة، مما يزيد من الحاجة إلى رصد متسق مكانياً وطويل الأمد لاستجابات الغطاء النباتي. العراق معرض بشكل خاص لهذه التغيرات لأن التدرجات المناخية القوية، والجفاف المتكرر، ومحدودية توافر المياه تتزامن مع مساحات شاسعة من الأراضي المطرية والمروية. قامت هذه الدراسة بتقييم ديناميكيات المناخ والغطاء النباتي في العراق من عام 2001 إلى 2025 باستخدام مؤشر الاختلاف الغطائي النباتي الطبيعي (MODIS NDVI)، وبيانات هطول الأمطار (CHIRPS)، وبيانات درجة حرارة الهواء على ارتفاع مترين (ERA5-Land). تم تحليل متوسط هطول الأمطار للفترة من أكتوبر إلى مايو، واتجاهات مؤشر (NDVI) للفترة من يناير إلى مايو، وارتباطات المناخ مع مؤشر (NDVI) بعد إزالة الاتجاه (detrended) على شبكة مشتركة بدقة 0.1 درجة.تم بعد ذلك تصنيف البكسلات النباتية على أنها: حساسة لهطول الأمطار، أو حساسة للحرارة، أو حساسة لكليهما، أو لا تظهر علاقة متوقعة قوية، أو تظهر اتجاهاً قوياً آخر. أظهر هطول الأمطار في الموسم الرطب تدرجاً واضحاً من إجماليات عالية جداً في شمال وشمال شرق العراق إلى إجماليات منخفضة ومنخفضة جداً عبر الغرب والجنوب الغربي والجنوب. كان الاخضرار ذو الدلالة الإحصائية أكثر انتشاراً بشكل ملحوظ من الاسمرار، حيث تركزت أقوى اتجاهات مؤشر (NDVI) الإيجابية في المناطق الزراعية في الشمال والشمال الشرقي والوسط. بعد إزالة الاتجاهات الخطية، كانت ارتباطات هطول الأمطار مع مؤشر (NDVI) إيجابية في الغالب وواسعة النطاق مكانياً، في حين كانت ارتباطات درجة الحرارة مع مؤشر (NDVI) ذات دلالة سلبية بشكل رئيسي ومركّزة في شمال وشرق وجنوب شرق العراق. هيمنت حساسية هطول الأمطار على التصنيف المتكامل، بينما شكلت الحساسية المزدوجة لهطول الأمطار والحرارة مجموعات متميزة في شمال-وسط وجنوب شرق البلاد. توفر هذه النتائج خط أساس مكانياً وطنياً لتحديد مناطق الغطاء النباتي المرتبطة بتقلبات المياه والحرارة بين السنوات. وتمثل فئات الحساسية ارتباطات إحصائية وليست عزوًا سببيًا.","气候变化正在加剧干旱地区的高温与水分胁迫，从而增加了对植被响应进行空间一致、长期监测的需求。伊拉克尤其容易受到这些变化的影响，因为强烈的气候梯度、频繁的干旱以及有限的水资源可用性，与大片雨养和灌溉土地并存。本研究利用MODIS归一化植被指数（NDVI）、降雨数据（CHIRPS）以及2米高度气温数据（ERA5-Land），评估了2001年至2025年伊拉克的气候与植被动态。研究在0.1度分辨率的统一网格上，分析了10月至5月的平均降雨量、1月至5月的NDVI趋势，以及去趋势（detrended）后气候与NDVI的相关性。随后将植被像元分类为：对降雨敏感、对温度敏感、对两者均敏感、未表现出强预期关系，或表现出其他强趋势。湿季降雨呈现出从伊拉克北部和东北部极高总量向西、西南和南部低及极低总量的明显梯度。具有统计显著性的绿化现象明显比褐化更为广泛，其中最强的NDVI正趋势集中在北部、东北部和中部的农业区。去除线性趋势后，降雨与NDVI的相关性大多为正且在空间上广泛分布，而温度与NDVI的相关性主要为显著负相关，集中在伊拉克北部、东部和东南部。降雨敏感性在综合分类中占主导地位，而降雨与温度的双重敏感性在该国中北部和东南部形成了独特的集群。这些结果为识别与年际水热波动相关的植被区域提供了全国尺度的空间基线。敏感性类别代表统计关联，而非因果归因。","Journal Of Babylon Center for Humanities Studies","2026-10-09T00:00:00Z",70,{"impact":17,"substance":18,"depth":19,"authority":17,"freshness":101,"relevant":22,"comment":378},"基于MODIS、CHIRPS与ERA5-Land长时序数据评估伊拉克气候与植被敏感性，方法规范、结论有区域参考价值，但属境外基础研究，公共影响有限。",[380],{"name":374,"url":371},[382,273,29,31,383],"气候变化","植被覆盖",{"code":40,"slug":385,"name":386,"path":387,"parent_code":205},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",[],{"status":128,"locked":14,"version":35,"method":36,"evidence":390},{"candidates":391,"agricultural_evidence":42},[392,396,403],{"code":40,"score":194,"supported":42,"title":393,"abstract":394,"tags":395},[],[382,45],[31,382],{"code":397,"score":101,"supported":42,"title":398,"abstract":399,"tags":402},"H3",[],[400,401],"灌溉","水资源",[],{"code":55,"score":49,"supported":14,"title":404,"abstract":405,"tags":406},[],[],[273,383,29],[408,409],"伊拉克 NDVI 植被动态","MODIS CHIRPS ERA5-Land 遥感","伊拉克NDVI植被动态-4756","10.66026\u002Fy7543b35",{"doi":411,"openalex_id":413,"authors":414,"venue":374,"cited_by_count":90,"oa_url":421,"card":422,"direction":96,"ingested_from":98},"W7221306668",[415,417,419],{"name":416,"orcid":9},"خولة‌ حمه‌رشید عمر",{"name":418,"orcid":9},"سایە دلاوەر محمد",{"name":420,"orcid":9},"Daban Kadhim Omar","https:\u002F\u002Fbcchj.uobabylon.edu.iq\u002Findex.php\u002Fbcchj\u002Farticle\u002Fdownload\u002F4819\u002F4866",{"tldr":423,"method":424,"finding":425,"direction":96,"opportunity":426},"基于2001–2025年MODIS NDVI、CHIRPS降水与ERA5-Land温度数据，评估伊拉","MODIS NDVI、CHIRPS降水、ERA5-Land温度，0.1°网格去趋","植被绿化趋势多于褐化，降水敏感性主导，温度负相关集中于北部、东部和东南部。","可结合灌溉与土地覆盖数据，区分雨养与灌溉区植被对水热胁迫的差异化响应机制。","2026-10-12T23:30:27.995466Z",{"id":429,"title":430,"url":431,"summary":432,"summary_zh":433,"content":9,"source_name":434,"source_url":431,"published_at":435,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":436,"score_detail":437,"sources":439,"tags":441,"primary_topic":444,"secondary_topics":445,"classification":446,"search_phrases":465,"slug":468,"view_count":56,"doi":469,"paper":470,"created_at":481},4593,"Climate Resilience and the Hydro-Vegetal Paradox in El Bayadh Province (Algeria, 1984-2023)","https:\u002F\u002Fdoi.org\u002F10.56093\u002Faaz.v65i3.177509","The decade 2010 to 2020 was the warmest ever recorded in the Mediterranean basin (+1.5°C), exceeding the global average. North Africa, identified as a vulnerability hotspot by the IPCC AR6, experiences intensified droughts and ecosystem degradation. This study presents the first quantitative assessment of climate resilience in El Bayadh Province (Algeria), revealing an unexpected hydro-vegetal paradox. A comparative multi-index methodology (restricted climate index vs. global index integrating 7 variables) was applied to 22 municipalities over the period of 1984 to 2023. The results showed a universal degradation of water balance (-8.2 to -21.4 mm yr-1) and widespread warming (+0.8 to +2.1°C decade-1). Paradoxically, 73 to 77% of municipalities showed improvement in vegetation indices (NDVI, SAVI), suggesting ecological adaptation. Principal component analysis (PCA-99%) variance explained) identified water stress as the main differentiating factor, and clustering distinguishes 5 territorial profiles (silhouette = 0.521). The global index proves more discriminant than the restricted index for capturing the complexity of socio-ecological dynamics. This study highlights the need for differentiated adaptation policies addressing challenges related to water, food security, and migration.","2010年至2020年是有记录以来地中海盆地最暖的十年（升温+1.5°C），超过了全球平均水平。北非被IPCC第六次评估报告（AR6）确定为脆弱性热点地区，正经历着加剧的干旱和生态系统退化。本研究首次对阿尔及利亚埃尔贝伊德省（El Bayadh Province）的气候韧性进行了定量评估，揭示了一个意想不到的水文-植被悖论。研究采用比较多指标方法（限制性气候指数与整合7个变量的全局指数），对22个市镇在1984年至2023年期间进行了分析。结果表明，水平衡普遍退化（-8.2至-21.4 mm yr⁻¹），且普遍升温（+0.8至+2.1°C decade⁻¹）。悖论的是，73%至77%的市镇植被指数（NDVI、SAVI）有所改善，表明存在生态适应。主成分分析（PCA，方差解释率达99%）确定水分胁迫为主要区分因子，聚类分析区分出5种地域类型（轮廓系数=0.521）。在捕捉社会-生态动态复杂性方面，全局指数比限制性指数更具判别力。本研究强调了制定差异化适应政策的必要性，以应对与水、粮食安全和移民相关的挑战。","Annals of Arid Zone","2026-10-08T00:00:00Z",74,{"impact":17,"substance":18,"depth":19,"authority":114,"freshness":21,"relevant":22,"comment":438},"基于22个市镇40年多指标遥感数据的干旱区气候韧性定量研究，方法新颖、结论有反差价值，但属区域案例研究，公共影响层级有限。",[440],{"name":434,"url":431},[273,442,29,31,443],"气候适应","水资源安全",{"code":40,"slug":385,"name":386,"path":387,"parent_code":205},[],{"status":128,"locked":14,"version":35,"method":36,"evidence":447},{"candidates":448,"agricultural_evidence":42},[449,454,461],{"code":40,"score":113,"supported":42,"title":450,"abstract":452,"tags":453},[451],"climate resilience",[45,451],[31,442],{"code":455,"score":101,"supported":42,"title":456,"abstract":457,"tags":460},"A8",[],[458,459],"粮食安全","food security",[],{"code":55,"score":56,"supported":14,"title":462,"abstract":463,"tags":464},[],[],[273,29],[466,467],"El Bayadh 阿尔及利亚 气候韧性","NDVI 植被指数 干旱区","ElBayadh阿尔及利亚气候韧性-4593","10.56093\u002Faaz.v65i3.177509",{"doi":469,"openalex_id":471,"authors":472,"venue":434,"cited_by_count":90,"oa_url":475,"card":476,"direction":96,"ingested_from":98},"W7220949140",[473,474],{"name":167,"orcid":168},{"name":164,"orcid":165},"http:\u002F\u002Fepubs.icar.org.in\u002Findex.php\u002FAAZ\u002Farticle\u002Fdownload\u002F177509\u002F68050",{"tldr":477,"method":478,"finding":479,"direction":96,"opportunity":480},"首次量化阿尔及利亚El Bayadh省1984-2023年气候韧性，揭示水-植被悖论。","多指标对比法（限制性气候指数与7变量全球指数），对22个市镇做PCA和聚类。","水均衡普遍恶化、升温显著，但73-77%市镇植被指数改善，呈生态适应悖论。","可探究干旱区NDVI改善的驱动机制（灌溉、物种更替或遥感尺度效应），并耦合社会经济数据。","2026-10-10T23:30:29.597640Z"]