[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3075":3,"related-3075":90},{"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":32,"secondary_topics":38,"classification":45,"search_phrases":64,"slug":67,"view_count":68,"doi":69,"paper":70,"created_at":89},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。",null,"Scientific Reports","2026-09-18T00:00:00Z","论文",10,false,77,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,21,18,14,8,1,"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。",[25],{"name":10,"url":6},[27,28,29,30,31],"NDVI","遥感监测","荒漠化防治","可持续管理","苏丹",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",[39],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"status":46,"locked":14,"version":47,"method":48,"evidence":49},"classified","2026-10-22.2","rules",{"candidates":50,"agricultural_evidence":52},[51,58],{"code":33,"score":13,"supported":52,"title":53,"abstract":54,"tags":57},true,[],[55,56,34],"生物多样性","生态系统服务",[29],{"code":40,"score":21,"supported":52,"title":59,"abstract":60,"tags":63},[],[61,62],"遥感","remote sensing",[27,28],[65,66],"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",3,"10.1038\u002Fs41598-026-69562-8",{"doi":69,"openalex_id":71,"authors":72,"venue":10,"cited_by_count":80,"oa_url":81,"card":82,"direction":86,"ingested_from":88},"W7213533975",[73,76,78],{"name":74,"orcid":75},"Elmugheira M. I. Mohammed","https:\u002F\u002Forcid.org\u002F0000-0003-0977-9156",{"name":77,"orcid":9},"Abdalrahman A. Ahmed",{"name":79,"orcid":9},"Faisal I. Musa",0,"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-69562-8_reference.pdf",{"tldr":83,"method":84,"finding":85,"direction":86,"opportunity":87},"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。","农业遥感与作物表型","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。","openalex","2026-09-21T23:30:25.775307Z",{"total":91,"page":22,"page_size":91,"items":92},6,[93,205,270,329,388,450],{"id":94,"title":95,"url":96,"summary":97,"summary_zh":98,"content":9,"source_name":99,"source_url":96,"published_at":100,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":101,"score_detail":102,"sources":107,"tags":109,"primary_topic":114,"secondary_topics":115,"classification":123,"search_phrases":171,"slug":174,"view_count":22,"doi":175,"paper":176,"created_at":204},2658,"A remote sensing–based approach to the regionalization of socioeconomic indicators in an agricultural headwater catchment in Northern Benin","https:\u002F\u002Fdoi.org\u002F10.5194\u002Fpiahs-389-45-2026","The agroecosystems of the rural continuum of the Sudano-Sahelian region of the Volta River Basin are undergoing severe degradation, resulting in serious declines in ecosystem service capacities and weakening community livelihoods, as agriculture remains the primary source of income in the region. This degradation is mainly driven by poor management of hydroclimatic risks, non-adapted agricultural practices characterized by intensive use of chemical fertilizers and pesticides, and insufficient consideration of spatial heterogeneity in decision-making processes. The objectives of this study are (i) to identify a Network of 30 m resolution Grid Cells (NGC) representative of the spatial heterogeneity of the studied agroecosystem – the Dassari headwater catchment (550 km 2 ), a tributary of the Volta River in northern Benin – and (ii) to regionalize plot-scale socioeconomic data to support improved decision-making. The NGC was derived by combining iterative principal component analysis (IPCA) with a Conditioned Latin Hypercube Sampling (CLHS) approach using 37 satellite-derived variables (e.g. Normalized Difference Vegetation Index, saturation index, coloration index), resulting in the selection of 150 grid cells. Field and laboratory investigations provided soil properties (e.g. texture, carbon, field capacity, nitrogen content) and socioeconomic data (e.g. harvest quantity, input costs, total production cost, and gross income), which were standardized and analyzed for major crops (millet, sorghum, maize, and cotton). Results show that natural spatial disparities among NGC cells translate into additional labor and input costs that may be unsustainable for farmers. Multiple linear regression models were developed to relate socioeconomic indicators to soil and remote sensing variables for each crop type, and the resulting regional models proved robust, with predicted and observed values closely aligned within the 95 % confidence interval, coefficients of determination exceeding 70 %, and p -values below 0.01.","沃尔特河流域苏丹-萨赫勒地区农村连续体的农业生态系统正在经历严重退化，导致生态系统服务能力严重下降，社区生计日益脆弱，而农业仍是该地区的主要收入来源。这种退化主要由水文气候风险管理不善、以大量使用化肥和农药为特征的非适应性农业实践，以及决策过程中对空间异质性考虑不足所驱动。本研究的目标是：(i) 识别一个30米分辨率网格单元网络（Network of 30 m resolution Grid Cells, NGC），以代表所研究农业生态系统的空间异质性——达萨里源头集水区（550平方公里），位于贝宁北部沃尔特河的一条支流；以及 (ii) 将地块尺度的社会经济数据进行区域化，以支持改进决策。NGC通过将迭代主成分分析（Iterative Principal Component Analysis, IPCA）与条件拉丁超立方采样（Conditioned Latin Hypercube Sampling, CLHS）方法相结合，利用37个卫星衍生变量（如归一化植被指数、饱和度指数、着色指数）得出，最终选取了150个网格单元。实地和实验室调查提供了土壤属性（如质地、碳、田间持水量、氮含量）和社会经济数据（如收获量、投入成本、总生产成本和总收入），这些数据经过标准化处理，并针对主要作物（小米、高粱、玉米和棉花）进行了分析。结果表明，NGC网格单元之间的自然空间差异转化为额外的劳动力和投入成本，对农民而言可能难以承受。研究针对每种作物类型建立了多元线性回归模型，将社会经济指标与土壤和遥感变量相关联，所得区域模型表现稳健，预测值与观测值在95%置信区间内高度吻合，决定系数超过70%，p值低于0.01。","Proceedings of the International Association of Hydrological Sciences","2026-09-16T00:00:00Z",68,{"impact":21,"substance":103,"depth":104,"authority":105,"freshness":13,"relevant":22,"comment":106},20,17,13,"该研究以30米分辨率遥感变量结合IPCA与CLHS抽样构建代表性网格，将地块尺度社会经济指标区域化，模型R²超70%，方法新颖、数据扎实，对农业信息化与精准决策有参考价值，但研究对象为贝宁流域，国内落地相关性有限，属细分领域学术进展。",[108],{"name":99,"url":96},[110,111,61,112,113],"农业遥感","空间异质性","西非农业","小农户生计",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[116,122],{"code":117,"slug":118,"name":119,"path":120,"parent_code":121},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains","A",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":46,"locked":14,"version":47,"method":48,"evidence":124},{"candidates":125,"agricultural_evidence":52},[126,130,138,144,151,158,165],{"code":40,"score":17,"supported":52,"title":127,"abstract":128,"tags":129},[62],[61,62],[110,61],{"code":117,"score":131,"supported":52,"title":132,"abstract":133,"tags":137},9,[],[134,135,136],"高粱","sorghum","millet",[],{"code":33,"score":131,"supported":52,"title":139,"abstract":140,"tags":143},[],[141,56,142],"农业生态","ecosystem service",[],{"code":145,"score":91,"supported":52,"title":146,"abstract":147,"tags":150},"A3",[],[148,149],"玉米","maize",[],{"code":152,"score":91,"supported":52,"title":153,"abstract":154,"tags":157},"A6",[],[155,156],"棉花","cotton",[],{"code":159,"score":91,"supported":52,"title":160,"abstract":161,"tags":164},"H2",[],[162,163],"土壤","soil",[],{"code":166,"score":68,"supported":52,"title":167,"abstract":168,"tags":170},"F4",[],[169],"农药",[],[172,173],"小农户生计 空间异质性 农业遥感 西非农业","小农户生计 空间异质性","小农户生计空间异质性农业遥感西非农业-2658","10.5194\u002Fpiahs-389-45-2026",{"doi":175,"openalex_id":177,"authors":178,"venue":99,"cited_by_count":80,"oa_url":96,"card":199,"direction":86,"ingested_from":88},"W7213239844",[179,181,183,186,189,191,194,196],{"name":180,"orcid":9},"Yaovi Aymar Bossa",{"name":182,"orcid":9},"Adjo Brigitte Bossa",{"name":184,"orcid":185},"Yacouba Yira","https:\u002F\u002Forcid.org\u002F0000-0003-3879-8153",{"name":187,"orcid":188},"Ozias Hounkpatin","https:\u002F\u002Forcid.org\u002F0000-0003-1105-8649",{"name":190,"orcid":9},"Octave Djangni",{"name":192,"orcid":193},"Jean Hounkpè","https:\u002F\u002Forcid.org\u002F0000-0002-5521-9339",{"name":195,"orcid":9},"Hélyette Arielle Odoumbourou",{"name":197,"orcid":198},"Ernest Amoussou","https:\u002F\u002Forcid.org\u002F0000-0002-9402-4446",{"tldr":200,"method":201,"finding":202,"direction":86,"opportunity":203},"结合遥感与采样方法，将地块级社会经济指标区域化到贝宁北部农业流域。","迭代主成分分析与条件拉丁超立方采样，结合37个遥感变量和多元线性回归。","区域模型稳健，决定系数超70%，p值小于0.01，可预测作物社会经济指标。","可探索将遥感区域化社会经济指标方法迁移至其他流域，并耦合农户决策行为模型。","2026-09-16T23:30:28.573293Z",{"id":206,"title":207,"url":208,"summary":209,"summary_zh":210,"content":9,"source_name":211,"source_url":208,"published_at":212,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":101,"score_detail":213,"sources":216,"tags":218,"primary_topic":220,"secondary_topics":221,"classification":222,"search_phrases":251,"slug":254,"view_count":68,"doi":255,"paper":256,"created_at":269},2436,"Oasis Expansion and its impacts on Ecosystem Services in Southern Tunisia","https:\u002F\u002Fdoi.org\u002F10.56027\u002Fjoasd.112026","Many ecosystems face multiple pressures that affect their ability to provide ecosystem services. These services are commonly grouped into four categories: Provisioning, Regulating, Cultural and Supporting services. These services can lead to develop business opportunities for local communities. However, human activities and natural hazards may conduct to ecosystem degradation and loss of biodiversity and consequently, to business risks. In arid regions, oasis ecosystems have a crucial economic and social impact. However, natural and anthropogenic factors may affect oases ecosystems and their services. Therefore, the main objective of this research is to assess changes in oasis ecosystems in southern Tunisia using multi-temporal satellite images and NDVI analysis. The methodology is based on Landsat satellite data acquired between 1995 and 2025 and the calculation of NDVI. The results shows that the oasis areas in the study area increased by 42.36%. While this expansion reflects agricultural intensification, it may also lead to higher water consumption, soil degradation and biodiversity loss. This research can help local stakeholders better understand environmental risks and support the development of appropriate strategies to preserve oasis ecosystems.","许多生态系统面临多重压力，影响其提供生态系统服务的能力。这些服务通常分为四类：供给服务、调节服务、文化服务和支持服务。这些服务可为当地社区带来商业机会。然而，人类活动和自然灾害可能导致生态系统退化和生物多样性丧失，进而带来商业风险。在干旱地区，绿洲生态系统具有重要的经济和社会影响。然而，自然和人为因素可能影响绿洲生态系统及其服务。因此，本研究的主要目标是利用多时相卫星影像和NDVI分析评估突尼斯南部绿洲生态系统的变化。该方法基于1995年至2025年间获取的Landsat卫星数据和NDVI计算。结果表明，研究区内的绿洲面积增加了42.36%。虽然这一扩张反映了农业集约化，但也可能导致更高的水资源消耗、土壤退化和生物多样性丧失。本研究可帮助当地利益相关者更好地理解环境风险，并支持制定适当的策略以保护绿洲生态系统。","JOURNAL OF OASIS AGRICULTURE AND SUSTAINABLE DEVELOPMENT","2026-09-11T00:00:00Z",{"impact":214,"substance":103,"depth":17,"authority":214,"freshness":21,"relevant":22,"comment":215},12,"基于1995—2025年Landsat影像与NDVI分析突尼斯南部绿洲扩张及其生态代价，方法规范、数据跨度长，对干旱区农业遥感与生态风险研究有参考价值，但属区域案例，公共影响有限。",[217],{"name":211,"url":208},[27,28,56,219,29],"绿洲农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":223},{"candidates":224,"agricultural_evidence":52},[225,230,234,240,246],{"code":33,"score":226,"supported":52,"title":227,"abstract":228,"tags":229},11,[],[55,56,34],[56,29],{"code":159,"score":91,"supported":52,"title":231,"abstract":232,"tags":233},[],[162,163],[],{"code":235,"score":68,"supported":52,"title":236,"abstract":237,"tags":239},"H3",[],[238],"水资源",[],{"code":241,"score":68,"supported":52,"title":242,"abstract":243,"tags":245},"H7",[],[244],"干旱",[],{"code":40,"score":247,"supported":14,"title":248,"abstract":249,"tags":250},2,[],[],[27,28],[252,253],"生态系统服务 荒漠化防治 绿洲农业 遥感监测","生态系统服务 荒漠化防治","生态系统服务荒漠化防治绿洲农业遥感监测-2436","10.56027\u002Fjoasd.112026",{"doi":255,"openalex_id":257,"authors":258,"venue":211,"cited_by_count":80,"oa_url":263,"card":264,"direction":86,"ingested_from":88},"W7212394548",[259,261],{"name":260,"orcid":9},"Abdelaziz Ben Abdallah",{"name":262,"orcid":9},"Mohamed Kefi","https:\u002F\u002Fwww.joasdjournal.org\u002Findex.php\u002Fjoasd\u002Farticle\u002Fdownload\u002F347\u002F306",{"tldr":265,"method":266,"finding":267,"direction":86,"opportunity":268},"用Landsat多时相影像和NDVI分析突尼斯南部绿洲1995-2025年扩张及其对生态系统服务的影","Landsat多时相影像（1995-2025）与NDVI计算，评估绿洲面积变化。","绿洲面积增加42.36%，但扩张可能加剧水资源消耗、土壤退化和生物多样性丧失。","可结合多源遥感与生态系统服务模型，量化绿洲扩张对水资源和碳储的权衡关系。","2026-09-14T23:30:27.585327Z",{"id":271,"title":272,"url":273,"summary":274,"summary_zh":275,"content":9,"source_name":276,"source_url":273,"published_at":277,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":278,"score_detail":279,"sources":281,"tags":283,"primary_topic":286,"secondary_topics":287,"classification":288,"search_phrases":300,"slug":303,"view_count":22,"doi":304,"paper":305,"created_at":328},5168,"Study on barchan dune movement velocity using fiber optic sensing theory and technology: a case study in the Tengger Desert, China","https:\u002F\u002Fdoi.org\u002F10.1088\u002F1402-4896\u002Faeb58f","Abstract Dune movement velocity monitoring is essential to the study of desert ecosystem evolution, the protection of surrounding agriculture, and the prevention of wind erosion. However, traditional monitoring technologies such as field marking, GPS positioning, and image remote sensing suffer from limited accuracy and resistance to interference under harsh desert conditions. To address these issues, this study integrates Brillouin optical time-domain reflectometry (BOTDR) with aeolian sand dynamics to establish a theory and methodology for measuring dune movement velocity via optical fiber sensing. Specifically, a physical model is constructed to describe the complete transmission chain from wind forcing, through dune deformation and optical fiber strain transfer. Utilizing the proposed theory and method, numerical simulations are performed on barchan dunes in the Tengger Desert to analyze the movement velocities of dunes with varying widths, and the results are compared with those obtained through traditional monitoring technologies. It indicates that the proposed method exhibits advantages in terms of monitoring frequency and spatial resolution. The theory and methodology provide technical support for the scientific monitoring of mobile dunes and the prevention of desertification.","摘要 沙丘移动速度监测对沙漠生态系统演化研究、周边农业保护及风蚀防治具有重要意义。然而，野外标记、GPS定位、影像遥感等传统监测技术在沙漠恶劣条件下存在精度有限、抗干扰能力不足等问题。针对上述问题，本研究将布里渊光时域反射技术(BOTDR)与风沙动力学相结合，建立了基于光纤传感的沙丘移动速度测量理论与方法。具体而言，构建了描述风力驱动、沙丘变形至光纤应变传递完整链条的物理模型。利用所提理论与方法，对腾格里沙漠新月形沙丘开展数值模拟，分析了不同宽度沙丘的移动速度，并与传统监测技术所得结果进行对比。结果表明，所提方法在监测频率和空间分辨率方面具有优势。该理论与方法为流动沙丘科学监测及荒漠化防治提供了技术支撑。","Physica Scripta","2026-10-16T00:00:00Z",71,{"impact":214,"substance":103,"depth":104,"authority":105,"freshness":131,"relevant":22,"comment":280},"将BOTDR光纤传感用于沙丘移动速度监测，方法新颖且对荒漠化防治与农田风蚀防护有实用价值，但属细分领域论文，影响范围有限。",[282],{"name":276,"url":273},[28,29,284,285],"光纤传感","风沙监测",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":289},{"candidates":290,"agricultural_evidence":52},[291,296],{"code":40,"score":292,"supported":52,"title":293,"abstract":294,"tags":295},7,[],[61,62],[28],{"code":33,"score":22,"supported":14,"title":297,"abstract":298,"tags":299},[],[],[29],[301,302],"腾格尔沙漠 沙丘移动 光纤传感","BOTDR 沙丘移动速度","腾格尔沙漠沙丘移动光纤传感-5168","10.1088\u002F1402-4896\u002Faeb58f",{"doi":304,"openalex_id":306,"authors":307,"venue":276,"cited_by_count":80,"oa_url":9,"card":322,"direction":86,"ingested_from":88},"W7222732569",[308,310,313,315,317,319],{"name":309,"orcid":9},"Kesen Tao",{"name":311,"orcid":312},"Xin Ma","https:\u002F\u002Forcid.org\u002F0009-0001-2609-8718",{"name":314,"orcid":9},"Jinsheng Yu",{"name":316,"orcid":9},"Zhiting Li",{"name":318,"orcid":9},"Wenhai Sun",{"name":320,"orcid":321},"Xingcai Li","https:\u002F\u002Forcid.org\u002F0000-0003-3257-1601",{"tldr":323,"method":324,"finding":325,"direction":326,"opportunity":327},"提出基于BOTDR光纤传感的沙丘移动速度测量理论与方法，并在腾格里沙漠验证。","将布里渊光时域反射技术与风沙动力学结合，构建风-沙丘变形-光纤应变传递模型并数值","该方法在监测频率和空间分辨率上优于传统标记、GPS和遥感技术。","其他","可将光纤传感用于农田风蚀与沙丘入侵的实时监测预警，弥补传统遥感精度不足。","2026-10-17T23:30:28.493340Z",{"id":330,"title":331,"url":332,"summary":333,"summary_zh":334,"content":9,"source_name":335,"source_url":332,"published_at":336,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":337,"score_detail":338,"sources":340,"tags":342,"primary_topic":346,"secondary_topics":347,"classification":351,"search_phrases":368,"slug":371,"view_count":247,"doi":372,"paper":373,"created_at":387},4365,"An Index-Based Algorithm for Detecting Water Soil Erosion Indicators from Sentinel-2 Multispectral Data and Its Verification on Field Data of Rostov Oblast and Krasnodar Krai","https:\u002F\u002Fdoi.org\u002F10.23947\u002F2587-8999-2026-10-3-49-57","Introduction . The paper presents the development and testing of an index-based algorithm for detecting indicators of soil erosion by water from Sentinel-2 remote sensing data, considered as the first practical stage in constructing a hybrid physics-based mass-transport model with neural-network parameter identification. Materials and Methods . The algorithm relies on joint analysis of time series of the Normalized Difference Vegetation Index (NDVI) and the Bare Soil Index (BSI), followed by spatial change detection (ΔBSI) with threshold filtering at the 90th percentile. The algorithm was first validated on synthetic data and then applied to real Sentinel-2 imagery for two test sites – the Kamensky District of Rostov Oblast and the vicinity of Moldovanskoye village, Krymsky District, Krasnodar Krai – covering 10 dates within 2024. Results. The algorithm is shown to consistently identify spatially localised zones of increasing bare-soil exposure. Discussion . A key limitation – the inability to distinguish erosion-related exposure from ordinary agrotechnical bare soil — is discussed, along with directions for resolving it (digital elevation model overlay, multi-year analysis). Conclusion . An index-based algorithm for detecting indicators of water-induced soil erosion from Sentinel-2 multispectral time series was developed and validated. Verification on synthetic data and application to two real test areas in southern Russia confirmed its operability while demonstrating the need to separate erosion-related changes from agricultural soil exposure in subsequent model development.","引言。本文介绍了一种基于指数的算法开发与测试，该算法用于从Sentinel-2遥感数据中检测水蚀土壤侵蚀指标，被视为构建基于物理的质量输运混合模型并结合神经网络参数辨识的第一个实践阶段。材料与方法。该算法依赖于对归一化植被指数（NDVI）和裸土指数（BSI）时间序列的联合分析，随后进行空间变化检测（ΔBSI），并在第90百分位数处进行阈值滤波。该算法首先在合成数据上进行了验证，然后应用于两个测试点的真实Sentinel-2影像——罗斯托夫州卡缅斯基区和克拉斯诺达尔边疆区克里姆斯克区摩尔多瓦诺夫斯科耶村附近——覆盖2024年内的10个日期。结果。结果表明，该算法能够一致地识别出裸土暴露增加的空间局部区域。讨论。讨论了关键局限性——无法区分与侵蚀相关的裸土暴露和普通农技作业造成的裸土——以及解决该问题的方向（叠加数字高程模型、多年分析）。结论。开发并验证了一种基于指数的算法，用于从Sentinel-2多光谱时间序列中检测水蚀土壤侵蚀指标。在合成数据上的验证以及在俄罗斯南部两个真实测试区域的应用证实了其可操作性，同时表明在后续模型开发中有必要将与侵蚀相关的变化与农业裸土暴露区分开来。","COMPUTATIONAL MATHEMATICS AND INFORMATION TECHNOLOGIES","2026-10-05T00:00:00Z",70,{"impact":214,"substance":103,"depth":104,"authority":105,"freshness":21,"relevant":22,"comment":339},"提出基于NDVI与BSI时序的土壤水蚀指标遥感识别算法，并在俄罗斯南部两个试验区验证，方法有新意但属区域尺度研究，对国内农业遥感监测有参考价值。",[341],{"name":335,"url":332},[343,344,27,28,345],"智慧农业","Sentinel-2","土壤侵蚀",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[348],{"code":159,"slug":163,"name":349,"path":350,"parent_code":37},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"status":46,"locked":14,"version":47,"method":48,"evidence":352},{"candidates":353,"agricultural_evidence":52},[354,359,363],{"code":40,"score":103,"supported":52,"title":355,"abstract":357,"tags":358},[356],"multispectral",[61,62,356],[27,344,28],{"code":159,"score":20,"supported":52,"title":360,"abstract":361,"tags":362},[163],[162,163],[],{"code":364,"score":22,"supported":14,"title":365,"abstract":366,"tags":367},"I1",[],[],[343],[369,370],"Sentinel-2 土壤侵蚀 遥感","罗斯托夫州 克拉斯诺达尔 土壤侵蚀","Sentinel-2土壤侵蚀遥感-4365","10.23947\u002F2587-8999-2026-10-3-49-57",{"doi":372,"openalex_id":374,"authors":375,"venue":335,"cited_by_count":80,"oa_url":332,"card":382,"direction":86,"ingested_from":88},"W7220651513",[376,379],{"name":377,"orcid":378},"V. A. Blagin","https:\u002F\u002Forcid.org\u002F0009-0003-3239-6150",{"name":380,"orcid":381},"V. A. Beraia","https:\u002F\u002Forcid.org\u002F0009-0006-2270-5011",{"tldr":383,"method":384,"finding":385,"direction":86,"opportunity":386},"开发基于Sentinel-2时序NDVI与BSI指数的水土流失指标检测算法，并在俄罗斯南部实地验证。","联合NDVI与BSI时序，用ΔBSI阈值（90百分位）检测裸土变化，合成与真实数","算法能稳定识别裸土暴露增加区域，但无法区分侵蚀与农事裸土，需DEM和多年度分析。","可融合DEM与多年度时序，构建区分侵蚀与农事裸土的分类模型，并接入神经网络参数识别。","2026-10-07T23:30:29.080156Z",{"id":389,"title":390,"url":391,"summary":392,"summary_zh":393,"content":9,"source_name":394,"source_url":391,"published_at":395,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":396,"score_detail":397,"sources":400,"tags":402,"primary_topic":405,"secondary_topics":406,"classification":407,"search_phrases":429,"slug":432,"view_count":22,"doi":433,"paper":434,"created_at":449},3897,"Impact of Land Use Change on Sandstorm Disaster in Tarim Basin of China","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15101840","Arid oasis–desert systems in inland basins are increasingly threatened by human-induced land-use transformation and aggravated dust storm hazards, whereas the nonlinear coupling mechanisms and critical land-use thresholds controlling dust pollution remain poorly understood. Taking township units of southern Xinjiang as the research scope over a 25-year period, this study integrated remote sensing and geographic information system techniques, geographically weighted regression, and piecewise threshold analysis to explore the long-term spatial coupling relationship between land-use transitions and dust-related PM10 variations, and to identify the threshold effects of diverse land-use types on dust emissions. The results indicate evident spatial non-stationarity in the co-variation patterns of land-use change and dust pollution. Intensive land-use disturbance and elevated dust risks are concentrated in oasis–desert ecotones, while desert hinterlands and high mountainous areas exhibit stable land-use conditions and weak human interference. Land-use factors exert limited explanatory capacity for dust variation due to dominant meteorological background controls. Distinct threshold effects exist among different land-use categories. Bare land and impervious surfaces function as dust-promoting land types with sharp increases in dust pollution beyond their respective critical proportions. Cropland exhibits a dual nonlinear effect, providing dust-suppression benefits within a reasonable proportion range but aggravating dust risks under excessive reclamation through the destruction of ecological buffer zones. Snow cover, forest, grassland, and water bodies serve as effective dust-suppressing land types, whose mitigation benefits stabilize after reaching minimum critical coverage, while shrubs show no significant regulatory effect on dust pollution. The oasis–desert ecotone represents the most sensitive zone for dust prevention. Targeted zoning management guided by land-use threshold constraints is essential to optimize regional ecological regulation, replace blind single afforestation strategies, and integrate ecological threshold criteria into territorial spatial planning. Land-use adjustment can effectively mitigate anthropogenic dust emissions, yet comprehensive dust control requires coordinated meteorological early warning systems and balanced management of agricultural production and ecological risk prevention.","内陆盆地的干旱绿洲–荒漠系统日益受到人为土地利用转型和沙尘暴危害加剧的威胁，而控制沙尘污染的非线性耦合机制及关键土地利用阈值仍认识不足。本研究以新疆南部乡镇单元为研究范围，跨越25年，综合遥感与地理信息系统技术、地理加权回归和分段阈值分析，探讨土地利用转型与沙尘相关PM10变化的长期空间耦合关系，并识别不同土地利用类型对沙尘排放的阈值效应。结果表明，土地利用变化与沙尘污染的共变格局存在明显的空间非平稳性。强烈的土地利用扰动和较高的沙尘风险集中于绿洲–荒漠过渡带，而荒漠腹地和高山地区土地利用状况稳定、人为干扰较弱。由于气象背景的主导控制作用，土地利用因子对沙尘变化的解释能力有限。不同土地利用类别之间存在明显的阈值效应。裸地和硬化地表属于促沙土地利用类型，超过各自临界比例后沙尘污染急剧增加。耕地表现出双重非线性效应，在合理比例范围内具有抑沙效益，但过度开垦通过破坏生态缓冲带而加剧沙尘风险。积雪、林地、草地和水体为有效的抑沙土地利用类型，其减缓效益在达到最低临界覆盖度后趋于稳定，而灌木对沙尘污染无显著调控作用。绿洲–荒漠过渡带是防沙最为敏感的区域。以土地利用阈值约束为导向的针对性分区管理，对于优化区域生态调控、替代盲目单一造林策略以及将生态阈值标准纳入国土空间规划至关重要。土地利用调整可有效减缓人为沙尘排放，但综合防沙需要协调气象预警系统与农业生产和生态风险防范的平衡管理。","Land","2026-09-30T00:00:00Z",79,{"impact":19,"substance":398,"depth":19,"authority":105,"freshness":21,"relevant":22,"comment":399},22,"基于25年遥感与GIS数据揭示土地利用变化对沙尘污染的阈值效应，方法新颖、结论可靠，对干旱区绿洲农业生态调控有参考价值。",[401],{"name":394,"url":391},[28,403,219,29,404],"土地利用","生态阈值",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":408},{"candidates":409,"agricultural_evidence":52},[410,414,421,425],{"code":40,"score":292,"supported":52,"title":411,"abstract":412,"tags":413},[],[61,62],[28],{"code":415,"score":91,"supported":52,"title":416,"abstract":417,"tags":420},"I4",[],[418,419],"地理信息","geographic information",[],{"code":241,"score":68,"supported":52,"title":422,"abstract":423,"tags":424},[],[244],[],{"code":33,"score":247,"supported":14,"title":426,"abstract":427,"tags":428},[],[],[403,29],[430,431],"塔里木盆地 沙尘 土地利用","新疆 绿洲 荒漠 遥感","塔里木盆地沙尘土地利用-3897","10.3390\u002Fland15101840",{"doi":433,"openalex_id":435,"authors":436,"venue":394,"cited_by_count":80,"oa_url":391,"card":443,"direction":86,"ingested_from":88},"W7214912709",[437,440],{"name":438,"orcid":439},"Xiaodong Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-9616-9139",{"name":441,"orcid":442},"Yongjun Tang","https:\u002F\u002Forcid.org\u002F0009-0008-2743-5473",{"tldr":444,"method":445,"finding":446,"direction":447,"opportunity":448},"研究塔里木盆地25年土地利用变化与沙尘PM10的耦合关系及阈值效应。","遥感GIS、地理加权回归与分段阈值分析，以乡镇为单元。","裸地与不透水面促尘，耕地呈双刃效应，林草水雪抑尘，绿洲-荒漠过渡带最敏感。","农业绿色发展与碳","可探究不同作物覆盖与灌溉制度下耕地促尘\u002F抑尘的阈值差异，服务绿洲农业空间优化。","2026-10-01T23:30:28.901978Z",{"id":451,"title":452,"url":453,"summary":454,"summary_zh":455,"content":9,"source_name":456,"source_url":453,"published_at":395,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":457,"score_detail":458,"sources":460,"tags":462,"primary_topic":466,"secondary_topics":467,"classification":468,"search_phrases":500,"slug":503,"view_count":247,"doi":504,"paper":505,"created_at":516},3894,"Assessment of Spatio-temporal Dynamics of the Remote Sensing Ecological Index (RSEI) based on Landsat 8 Data: A Case Study of Kherson Region, Ukraine (2013–2025)","https:\u002F\u002Fdoi.org\u002F10.36023\u002Fujrs.2026.13.3.310","This scientific paper presents a comprehensive assessment of the spatio-temporal dynamics of the ecological state of the Kherson region from 2013 to 2025, with a particular focus on the consequences of the full-scale military aggression by the Russian Federation. Amidst intensive hostilities, the destruction of critical infrastructure, and global climate challenges, objective geospatial monitoring of the natural environment is a crucial task for documenting damages and forecasting the region's future development.The study is based on the use of modern geographic information systems and remote sensing data. Using the Google Earth Engine cloud computing platform and an archive of multispectral satellite imagery from Landsat 8 OLI\u002FTIRS, the Remote Sensing Ecological Index (RSEI) was calculated. This index comprehensively integrates four key biophysical indicators: greenness (based on the Normalized Difference Vegetation Index, NDVI), wetness (Wet), dryness (based on the Normalized Difference Build-up and Soil Index, NDBSI), and land surface temperature (LST). The application of Principal Component Analysis (PCA) allowed these indicators to be mathematically combined into a single standardized index, where the first principal component (PC1) explains the highest proportion of the total spatial data variance. This indicates that the first principal component (PC1) successfully captures the vast majority of the variance among the four input indicators, which is a basic premise of the RSEI methodology.The results of the cartographic and statistical analyses revealed a sharp, unprecedented deterioration in the ecosystem health of the study region in 2025 compared to retrospective data from previous years. A critical drop in the average RSEI value was established – from 0.381 in the relatively stable year of 2021 to 0.205 in 2025. The spatial assessment demonstrated that the area of territories classified as being in a state of ecological crisis (the «Terrible» category, with an index ranking from 0 to 0.2) more than doubled: from 26% of the region's total area in 2021 to a critical 60% in 2025.The sharp drop in RSEI spatially aligns with the large-scale hydrological transformations caused by the destruction of the Kakhovka Dam; however, this indicator also reflects the synergistic impact of intense hostilities, fires, the cessation of irrigation, and climate anomalies. Kakhovka Dam destruction led to the catastrophic destruction of the hydrographic network, the disappearance of water supply sources for vital agricultural lands, and the disruption of life-support systems in urbanized areas. The only exception against the general backdrop of the ecological catastrophe is the recorded local natural restoration of the old Dnipro riverbed ecosystem, which is gradually returning to its historical state that preceded massive anthropogenic intervention and river regulation in the 1950s.In conclusion, the synergistic impact of continuous large-scale hostilities, the destruction of established ecosystem links, and the exacerbation of global climate change shape an extremely bleak forecast. Further degradation of the soil and vegetation cover and the depletion of water resources create a high risk of transforming a significant part of the Kherson region into a territory unfit for safe living, agriculture, and socio-economic functioning. Disclosure of AI use. In the process of conducting research and preparing the manuscript, the author used the large language model Google Gemini 3 Pro. The tool acted as a technical assistant and consultant at the stages:1. Software development: assistance in writing, debugging and optimizing JavaScript scripts for the Google Earth Engine environment, in particular the implementation of the PCA algorithm.2. Text preparation: providing recommendations on structuring the work, describing the methodology and improving the academic style of presentation.The author carried out a full check of the generated code and text, verified the results obtained and bears sole responsibility for the content of this publication. Data availability and integrity. The JavaScript code for Google Earth Engine developed for this study has been deposited in the Zenodo repository with a reserved DOI to ensure long-term accessibility and reproducibility of the results. The code will be publicly available upon acceptance of the manuscript for publication. The data can be provided by the author upon reasonable request. Conflicts of Interest. The author declares that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements. The author is grateful to the reviewers and editors for their valuable comments, recommendations, and attention to the work.","本文对2013年至2025年赫尔松地区生态状况的时空动态进行了综合评估，尤其关注俄罗斯联邦全面军事侵略所造成的后果。在激烈的敌对行动、关键基础设施的破坏以及全球气候挑战的背景下，对自然环境进行客观的地理空间监测是记录损害和预测该地区未来发展的关键任务。本研究基于现代地理信息系统和遥感数据的应用。利用Google Earth Engine云计算平台和Landsat 8 OLI\u002FTIRS多光谱卫星影像档案，计算了遥感生态指数（RSEI）。该指数综合集成了四个关键生物物理指标：绿度（基于归一化差异植被指数，NDVI）、湿度（Wet）、干度（基于归一化差异建筑与土壤指数，NDBSI）以及地表温度（LST）。主成分分析（PCA）的应用使这些指标能够在数学上组合为一个标准化的单一指数，其中第一主成分（PC1）解释了总空间数据方差的最大比例。这表明第一主成分（PC1）成功捕捉了四个输入指标之间的绝大部分方差，这是RSEI方法论的基本前提。制图与统计分析的结果揭示，与往年回顾性数据相比，2025年研究区域的生态系统健康出现了急剧且前所未有的恶化。研究确定了平均RSEI值的临界下降——从相对稳定的2021年的0.381降至2025年的0.205。空间评估表明，被归类为生态危机状态的领土面积（“极差”类别，指数排名从0到0.2）增加了一倍以上：从2021年占该地区总面积的26%增至2025年临界水平的60%。RSEI的急剧下降在空间上与卡霍夫卡大坝被毁所引发的大规模水文变化相吻合；然而，该指标也反映了激烈敌对行动、火灾、灌溉停止以及气候异常的协同影响。卡霍夫卡大坝被毁导致水文网络的灾难性破坏，","Ukrainian journal of remote sensing",73,{"impact":214,"substance":398,"depth":19,"authority":214,"freshness":131,"relevant":22,"comment":459},"基于Landsat 8与Google Earth Engine的RSEI时空动态研究，方法规范、数据翔实，对战争与气候双重压力下的农业生态退化具有实证价值，但属区域案例、与国内三农信息化关联偏弱。",[461],{"name":456,"url":453},[27,28,463,464,465],"生态遥感","Landsat 8","乌克兰农业",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":469},{"candidates":470,"agricultural_evidence":52},[471,475,479,485,489,494],{"code":40,"score":103,"supported":52,"title":472,"abstract":473,"tags":474},[62],[61,62,356],[27,463,28],{"code":159,"score":91,"supported":52,"title":476,"abstract":477,"tags":478},[],[162,163],[],{"code":235,"score":91,"supported":52,"title":480,"abstract":481,"tags":484},[],[482,483],"灌溉","irrigation",[],{"code":415,"score":91,"supported":52,"title":486,"abstract":487,"tags":488},[],[418,419],[],{"code":241,"score":68,"supported":52,"title":490,"abstract":491,"tags":493},[],[492],"climate change",[],{"code":495,"score":68,"supported":52,"title":496,"abstract":497,"tags":499},"I2",[],[498],"large language model",[],[501,502],"Kakhovka Dam 生态遥感","乌克兰农业 生态遥感 遥感监测 Landsat 8","KakhovkaDam生态遥感-3894","10.36023\u002Fujrs.2026.13.3.310",{"doi":504,"openalex_id":506,"authors":507,"venue":456,"cited_by_count":80,"oa_url":453,"card":511,"direction":86,"ingested_from":88},"W7214889788",[508],{"name":509,"orcid":510},"Maksym Tymchyshyn","https:\u002F\u002Forcid.org\u002F0000-0003-2966-4794",{"tldr":512,"method":513,"finding":514,"direction":86,"opportunity":515},"基于Landsat 8与GEE计算RSEI，评估乌克兰赫尔松地区2013–2025年生态时空变化。","Google Earth Engine + Landsat 8 OLI\u002FTIRS","2025年RSEI均值由2021年0.381降至0.205，生态危机区由26%扩至60%。","可将RSEI框架迁移至战乱或灌溉中断农区，结合作物物候验证生态退化对农业生产的传导。","2026-10-01T23:30:28.551437Z"]