[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5168":3,"related-5168":89},{"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":31,"secondary_topics":37,"classification":38,"search_phrases":57,"slug":60,"view_count":22,"doi":61,"paper":62,"created_at":88},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。",null,"Physica Scripta","2026-10-16T00:00:00Z","论文",10,false,71,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,20,17,13,9,1,"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。",[25],{"name":10,"url":6},[27,28,29,30],"遥感监测","荒漠化防治","光纤传感","风沙监测",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,52],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":51},7,true,[],[49,50],"遥感","remote sensing",[27],{"code":53,"score":22,"supported":14,"title":54,"abstract":55,"tags":56},"H6",[],[],[28],[58,59],"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":61,"openalex_id":63,"authors":64,"venue":10,"cited_by_count":79,"oa_url":9,"card":80,"direction":86,"ingested_from":87},"W7222732569",[65,67,70,72,74,76],{"name":66,"orcid":9},"Kesen Tao",{"name":68,"orcid":69},"Xin Ma","https:\u002F\u002Forcid.org\u002F0009-0001-2609-8718",{"name":71,"orcid":9},"Jinsheng Yu",{"name":73,"orcid":9},"Zhiting Li",{"name":75,"orcid":9},"Wenhai Sun",{"name":77,"orcid":78},"Xingcai Li","https:\u002F\u002Forcid.org\u002F0000-0003-3257-1601",0,{"tldr":81,"method":82,"finding":83,"direction":84,"opportunity":85},"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。","农业遥感与作物表型","openalex","2026-10-17T23:30:28.493340Z",{"total":90,"page":22,"page_size":90,"items":91},6,[92,161,235,315,375,446],{"id":93,"title":94,"url":95,"summary":96,"summary_zh":97,"content":9,"source_name":98,"source_url":95,"published_at":99,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":100,"score_detail":101,"sources":106,"tags":108,"primary_topic":112,"secondary_topics":113,"classification":114,"search_phrases":140,"slug":143,"view_count":22,"doi":144,"paper":145,"created_at":160},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":102,"substance":103,"depth":102,"authority":20,"freshness":104,"relevant":22,"comment":105},18,22,8,"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。",[107],{"name":98,"url":95},[27,109,110,28,111],"土地利用","绿洲农业","生态阈值",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":115},{"candidates":116,"agricultural_evidence":46},[117,121,128,135],{"code":32,"score":45,"supported":46,"title":118,"abstract":119,"tags":120},[],[49,50],[27],{"code":122,"score":90,"supported":46,"title":123,"abstract":124,"tags":127},"I4",[],[125,126],"地理信息","geographic information",[],{"code":129,"score":130,"supported":46,"title":131,"abstract":132,"tags":134},"H7",3,[],[133],"干旱",[],{"code":53,"score":136,"supported":14,"title":137,"abstract":138,"tags":139},2,[],[],[109,28],[141,142],"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":144,"openalex_id":146,"authors":147,"venue":98,"cited_by_count":79,"oa_url":95,"card":154,"direction":86,"ingested_from":87},"W7214912709",[148,151],{"name":149,"orcid":150},"Xiaodong Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-9616-9139",{"name":152,"orcid":153},"Yongjun Tang","https:\u002F\u002Forcid.org\u002F0009-0008-2743-5473",{"tldr":155,"method":156,"finding":157,"direction":158,"opportunity":159},"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":162,"title":163,"url":164,"summary":165,"summary_zh":166,"content":9,"source_name":167,"source_url":164,"published_at":168,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":169,"score_detail":170,"sources":173,"tags":175,"primary_topic":179,"secondary_topics":180,"classification":181,"search_phrases":207,"slug":210,"view_count":130,"doi":211,"paper":212,"created_at":234},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":171,"substance":103,"depth":102,"authority":20,"freshness":21,"relevant":22,"comment":172},16,"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。",[174],{"name":167,"url":164},[176,177,27,178,28],"Sentinel-2","土地退化","Google Earth Engine",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":182},{"candidates":183,"agricultural_evidence":46},[184,188,194,198,203],{"code":32,"score":21,"supported":46,"title":185,"abstract":186,"tags":187},[],[49,50],[178,176,27],{"code":189,"score":130,"supported":46,"title":190,"abstract":191,"tags":193},"H2",[],[192],"soil",[],{"code":129,"score":130,"supported":46,"title":195,"abstract":196,"tags":197},[],[133],[],{"code":199,"score":22,"supported":14,"title":200,"abstract":201,"tags":202},"H1",[],[],[177],{"code":53,"score":22,"supported":14,"title":204,"abstract":205,"tags":206},[],[],[28],[208,209],"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":211,"openalex_id":213,"authors":214,"venue":167,"cited_by_count":79,"oa_url":164,"card":229,"direction":86,"ingested_from":87},"W7214937065",[215,218,221,224,226],{"name":216,"orcid":217},"Naîmi Bendouina","https:\u002F\u002Forcid.org\u002F0000-0002-9776-1660",{"name":219,"orcid":220},"Lakhdar Guérine","https:\u002F\u002Forcid.org\u002F0000-0003-0836-2703",{"name":222,"orcid":223},"Nassira Boukaya","https:\u002F\u002Forcid.org\u002F0000-0002-6201-3523",{"name":225,"orcid":9},"Djallal Moumen",{"name":227,"orcid":228},"Omar Belabid","https:\u002F\u002Forcid.org\u002F0000-0002-7736-2259",{"tldr":230,"method":231,"finding":232,"direction":86,"opportunity":233},"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":236,"title":237,"url":238,"summary":239,"summary_zh":240,"content":9,"source_name":241,"source_url":238,"published_at":242,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":243,"score_detail":244,"sources":247,"tags":249,"primary_topic":252,"secondary_topics":256,"classification":258,"search_phrases":299,"slug":302,"view_count":22,"doi":303,"paper":304,"created_at":314},3364,"Geographical Analysis of Desertification and Environmental Degradation and the Spatial Variation of Their Manifestations in Parts of the Jifara Plain","https:\u002F\u002Fdoi.org\u002F10.65405\u002Fsjh.2.3.85","This research aims to analyze the spatial variation of desertification and environmental degradation manifestations in the Al-Jfara Plain, identify the degrees, intensity, and geographical distribution of desertification, and determine the main manifestations associated with land degradation. It also seeks to identify the effects of natural and human factors on the spread of desertification and determine the areas most vulnerable to it, thereby contributing to efforts to conserve natural resources and reduce land degradation. The research adopted the analytical approach as the main method for analyzing data related to degraded lands, vegetation cover, rangelands, rainfall, erosion, and agricultural and livestock production. It also employed the descriptive approach to present the natural and human characteristics of the research area, as well as the comparative approach to compare different spatial units and time periods. The research further relied on geographical references, scientific studies, and available data, using percentages and rates of change to compare levels of degradation. The research concluded that there is clear spatial variation in the manifestations of desertification and environmental degradation across the Al-Jfara Plain. Wind erosion, declining vegetation cover, drought, and rainfall variability emerged as the most prominent manifestations of degradation. In addition, overgrazing, excessive exploitation of soil and groundwater resources, and urban expansion contributed to increasing pressure on natural resources. The research recommends reducing overgrazing, rationalizing groundwater use, combating erosion, increasing vegetation cover, regulating land use, and enhancing environmental awareness. It also proposes periodic monitoring of desertification using remote sensing and Geographic Information Systems (GIS), preparing updated maps of land degradation, and implementing projects for the rehabilitation of degraded lands.","本研究旨在分析贾法拉平原荒漠化与环境退化表现的空间差异，识别荒漠化的程度、强度及地理分布，并确定与土地退化相关的主要表现。研究还力求查明自然因素和人为因素对荒漠化蔓延的影响，确定最易受荒漠化影响的区域，从而为保护自然资源和减少土地退化的努力作出贡献。研究采用分析方法作为分析与退化土地、植被覆盖、牧场、降雨、侵蚀以及农牧业生产相关数据的主要方法，同时运用描述性方法呈现研究区域的自然和人文特征，并采用比较方法对不同空间单元和时间段进行比较。研究还依托地理文献、科学研究和现有数据，利用百分比和变化率来比较退化程度。研究得出结论：贾法拉平原各地荒漠化与环境退化表现在明显的空间差异。风蚀、植被覆盖下降、干旱和降雨变率是最突出的退化表现。此外，过度放牧、土壤和地下水资源的过程开发以及城市扩张也加剧了对自然资源的压力。研究建议减少过度放牧、合理利用地下水、防治侵蚀、增加植被覆盖、规范土地利用并增强环境意识。研究还提出利用遥感和地理信息系统（GIS）对荒漠化进行定期监测，编制更新的土地退化地图，并实施退化土地恢复项目。","Shihab Journal of Humanities","2026-09-23T00:00:00Z",55,{"impact":104,"substance":102,"depth":245,"authority":90,"freshness":21,"relevant":22,"comment":246},14,"区域荒漠化空间分析研究，方法常规、结论有参考价值，但属地方性学术成果，公共影响有限。",[248],{"name":241,"url":238},[177,27,250,251,28],"GIS","植被覆盖",{"code":122,"slug":253,"name":254,"path":255,"parent_code":36},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",[257],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":259},{"candidates":260,"agricultural_evidence":46},[261,265,269,274,279,285,291,295],{"code":122,"score":13,"supported":46,"title":262,"abstract":263,"tags":264},[],[125,250,126],[250],{"code":32,"score":104,"supported":46,"title":266,"abstract":267,"tags":268},[],[49,50],[251,27],{"code":189,"score":90,"supported":46,"title":270,"abstract":271,"tags":273},[],[272,192],"土壤",[],{"code":129,"score":90,"supported":46,"title":275,"abstract":276,"tags":278},[],[133,277],"drought",[],{"code":280,"score":130,"supported":46,"title":281,"abstract":282,"tags":284},"C",[],[283],"livestock",[],{"code":286,"score":130,"supported":46,"title":287,"abstract":288,"tags":290},"H3",[],[289],"水资源",[],{"code":199,"score":22,"supported":14,"title":292,"abstract":293,"tags":294},[],[],[177],{"code":53,"score":22,"supported":14,"title":296,"abstract":297,"tags":298},[],[],[28],[300,301],"GIS 荒漠化 遥感监测","荒漠化防治 土地退化 植被覆盖 遥感监测","GIS荒漠化遥感监测-3364","10.65405\u002Fsjh.2.3.85",{"doi":303,"openalex_id":305,"authors":306,"venue":241,"cited_by_count":79,"oa_url":238,"card":309,"direction":86,"ingested_from":87},"W7214127171",[307],{"name":308,"orcid":9},"حسنية السني رجب البكوري",{"tldr":310,"method":311,"finding":312,"direction":86,"opportunity":313},"分析吉法拉平原荒漠化与环境退化的空间差异及主要表现，并提出防治建议。","采用分析法、描述法与比较法，结合地理文献和统计数据评估退化程度。","风蚀、植被减少、干旱和降水变率是主要退化表现，过度放牧与地下水超采加剧压力。","可结合遥感与GIS开展荒漠化动态监测，构建多因子退化风险评估模型。","2026-09-24T23:30:21.130938Z",{"id":316,"title":317,"url":318,"summary":319,"summary_zh":320,"content":9,"source_name":321,"source_url":318,"published_at":322,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":323,"score_detail":324,"sources":327,"tags":329,"primary_topic":333,"secondary_topics":338,"classification":340,"search_phrases":353,"slug":356,"view_count":130,"doi":357,"paper":358,"created_at":374},3075,"Mapping and monitoring land usage changes of gum Arabic belt in armed conflict-disturbed areas to support sustainable management of the belt","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-69562-8","Abstract The Gum Arabic Belt (GAB) in Sudan play a key role in sustaining rural livelihoods, supporting biodiversity, and delivering essential ecosystem services. However, this fragile dryland ecosystem is increasingly threatened by armed conflict, large-scale displacement, land use changes, and environmental degradation. Therefore, this study assessed the status of GAB and gum production under conflict-induced stressors using an integrated methodology that combines meteorological, remote sensing, and participatory field survey data. Multi-temporal MODIS NDVI data (2000–2023) were analyzed to detect spatiotemporal changes in vegetation cover, particularly during peak growing seasons. Normalized Difference Vegetation Index (NDVI) trends were evaluated using five-year intervals, except for the last period (2020–2023) to accommodate the eco-anthropogenic signs of the current war. The results reveal that vegetation recovery across large portions of the GAB is correlated with land abandonment due to ongoing conflict and locals’ displacement. Across all assessed years, moderate vegetation class consistently dominated the landscape, particularly in 2020 and 2023, indicating a notable improvement in vegetation cover in recent years. A significant variation was observed in Gum yield, with higher production in 2005. The study underscores the urgent need for target restoration strategies and sustainable management policies. It also demonstrates the value of integrating earth observation data with local knowledge systems for conflict-sensitive environmental monitoring and policy formation in dryland regions.","摘要 苏丹的阿拉伯胶带（Gum Arabic Belt, GAB）在维持农村生计、支持生物多样性和提供关键生态系统服务方面发挥着重要作用。然而，这一脆弱的旱地生态系统正日益受到武装冲突、大规模流离失所、土地利用变化和环境退化的威胁。因此，本研究采用综合气象、遥感和参与式实地调查数据的方法，评估了冲突引发的压力因素下GAB及阿拉伯胶生产的状况。研究分析了多时相MODIS NDVI数据（2000–2023年），以检测植被覆盖的时空变化，尤其是生长旺季期间的变化。归一化植被指数（NDVI）趋势按五年间隔进行评估，但最后一个时段（2020–2023年）除外，以适应当前战争带来的生态-人为影响迹象。结果表明，GAB大部分地区的植被恢复与持续冲突和当地居民流离失所导致的土地撂荒相关。在所有评估年份中，中等植被等级始终主导景观，尤其是在2020年和2023年，表明近年来植被覆盖显著改善。阿拉伯胶产量存在显著差异，2005年产量较高。该研究强调迫切需要有针对性的恢复策略和可持续管理政策。研究还表明，将地球观测数据与当地知识系统相结合，对于旱地地区冲突敏感型环境监测和政策制定具有重要价值。","Scientific Reports","2026-09-18T00:00:00Z",77,{"impact":171,"substance":325,"depth":102,"authority":245,"freshness":104,"relevant":22,"comment":326},21,"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。",[328],{"name":321,"url":318},[330,27,28,331,332],"NDVI","可持续管理","苏丹",{"code":53,"slug":334,"name":335,"path":336,"parent_code":337},"biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",[339],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":341},{"candidates":342,"agricultural_evidence":46},[343,349],{"code":53,"score":13,"supported":46,"title":344,"abstract":345,"tags":348},[],[346,347,334],"生物多样性","生态系统服务",[28],{"code":32,"score":104,"supported":46,"title":350,"abstract":351,"tags":352},[],[49,50],[330,27],[354,355],"苏丹 阿拉伯胶带 NDVI","MODIS NDVI 植被覆盖 冲突","苏丹阿拉伯胶带NDVI-3075","10.1038\u002Fs41598-026-69562-8",{"doi":357,"openalex_id":359,"authors":360,"venue":321,"cited_by_count":79,"oa_url":368,"card":369,"direction":86,"ingested_from":87},"W7213533975",[361,364,366],{"name":362,"orcid":363},"Elmugheira M. I. Mohammed","https:\u002F\u002Forcid.org\u002F0000-0003-0977-9156",{"name":365,"orcid":9},"Abdalrahman A. Ahmed",{"name":367,"orcid":9},"Faisal I. Musa","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-69562-8_reference.pdf",{"tldr":370,"method":371,"finding":372,"direction":86,"opportunity":373},"结合遥感与实地调查，评估苏丹武装冲突干扰下阿拉伯胶带土地覆被变化及胶产量。","多时相MODIS NDVI（2000–2023）与气象、参与式实地调查数据集成分","冲突导致人口流离与土地撂荒，反而使大部分区域植被恢复，胶产量年际波动大。","可探究冲突驱动撂荒下植被恢复的生态-社会机制，并开发冲突敏感型遥感监测与可持续管理模型。","2026-09-21T23:30:25.775307Z",{"id":376,"title":377,"url":378,"summary":379,"summary_zh":380,"content":9,"source_name":381,"source_url":378,"published_at":382,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":79,"score_detail":383,"sources":385,"tags":387,"primary_topic":390,"secondary_topics":391,"classification":392,"search_phrases":413,"slug":416,"view_count":79,"doi":417,"paper":418,"created_at":445},5390,"Land use and socio-economic changes caused by riverbank erosion - case study: Obrenovac municipality, Serbia","https:\u002F\u002Fdoi.org\u002F10.59954\u002Fstnv.797","Lateral bank erosion of meandering rivers represents a significant geomorphological process in the lower part of the Kolubara River Basin in Serbia. This process directly impacts land-use and agricultural productivity and lead to broader environmental, socioeconomic, and demographic changes. Historically, the Kolubara riverbanks have been intensively used for agriculture. Today, lateral channel migration and riverbank erosion, driven by the interaction between natural process and human activities, directly threaten traditionally active land plots along the river. This study investigates the long-term dynamics of riverbank erosion along the four active meanders of the Kolubara River in Obrenovac Municipality over a 97-year period (1930–2026). Main tasks include quantification of lateral channel migration and land loss rates, analysis of land-use changes within the endangered plots, and an investigation of socioeconomic consequences and demographic dynamics in affected settlements. The methodological framework integrates cadastral maps analysis, remote sensing techniques (UAVs), and GIS software, with analysis of demographic and land-use data. The results indicate that maximum lateral channel migration reached 259.3 m during the observed period, while the total land loss amounted to 17.6 ha, consisting mostly of arable land. This reduction has directly affected the local agricultural sector, resulting in an estimated land loss value of approximately 24,122 USD. Demographic analysis reveals population decline exceeding 40% in the analysed settlements (Draževac, Konatice and Poljane) between 1961 and 2022, from over 90% of the economically active population in 1961 to less than 2% in 2022. Ultimately, by highlighting the socioeconomic impacts of riverbank erosion such as irreversible agricultural land loss and rural livelihood disruption, these findings offer valuable insights for spatial planning and sustainable land management.","蜿蜒河流的侧向河岸侵蚀是塞尔维亚科卢巴拉河（Kolubara River）流域下游一个重要的地貌过程。该过程直接影响土地利用和农业生产力，并引发更广泛的环境、社会经济和人口变化。历史上，科卢巴拉河岸曾被密集用于农业生产。如今，在自然过程与人类活动相互作用驱动下的侧向河道迁移和河岸侵蚀，直接威胁着沿河传统上活跃的地块。本研究考察了奥布雷诺瓦茨市（Obrenovac Municipality）科卢巴拉河四个活跃曲流段在97年期间（1930—2026年）河岸侵蚀的长期动态。主要任务包括：量化侧向河道迁移和土地流失速率，分析受威胁地块内的土地利用变化，以及调查受影响居民点的社会经济后果和人口动态。方法框架整合了地籍图分析、遥感技术（无人机，UAVs）和GIS软件，并结合人口与土地利用数据分析。结果表明，在观测期内侧向河道迁移最大距离达259.3 m，土地流失总量为17.6 ha，其中大部分为耕地。这一减少直接影响了当地农业部门，估计土地流失价值约为24,122美元。人口分析显示，1961年至2022年间，所分析居民点（Draževac、Konatice和Poljane）的人口下降幅度超过40%，经济活动人口比例从1961年的超过90%降至2022年的不足2%。最终，通过突出河岸侵蚀的社会经济影响，如不可逆的农业土地流失和农村生计破坏，这些发现为空间规划和可持续土地管理提供了有价值的见解。","Stanovnistvo","2026-10-19T00:00:00Z",{"impact":79,"substance":79,"depth":79,"authority":79,"freshness":79,"relevant":79,"comment":384},"塞尔维亚河岸侵蚀案例研究，属地理与土地利用领域，与三农及农业信息化主题关联弱，不建议进入每日精选。",[386],{"name":381,"url":378},[27,109,388,389],"土壤侵蚀","乡村人口",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":393},{"candidates":394,"agricultural_evidence":46},[395,399,403,409],{"code":32,"score":45,"supported":46,"title":396,"abstract":397,"tags":398},[],[49,50],[27],{"code":122,"score":130,"supported":46,"title":400,"abstract":401,"tags":402},[],[250],[],{"code":404,"score":130,"supported":46,"title":405,"abstract":406,"tags":408},"I7",[],[407],"methodological framework",[],{"code":53,"score":22,"supported":14,"title":410,"abstract":411,"tags":412},[],[],[109],[414,415],"Kolubara 河岸侵蚀","Obrenovac 土地利用","Kolubara河岸侵蚀-5390","10.59954\u002Fstnv.797",{"doi":417,"openalex_id":419,"authors":420,"venue":381,"cited_by_count":79,"oa_url":378,"card":440,"direction":86,"ingested_from":87},"W7222945959",[421,424,427,429,432,435,438],{"name":422,"orcid":423},"Slavoljub Dragićević","https:\u002F\u002Forcid.org\u002F0000-0002-1417-5405",{"name":425,"orcid":426},"Marko Langović","https:\u002F\u002Forcid.org\u002F0000-0002-4614-7265",{"name":428,"orcid":9},"Милан Радовић",{"name":430,"orcid":431},"Radislav Tošić","https:\u002F\u002Forcid.org\u002F0000-0002-3994-125X",{"name":433,"orcid":434},"Milica Langović","https:\u002F\u002Forcid.org\u002F0000-0002-6979-377X",{"name":436,"orcid":437},"Novica Lovrić","https:\u002F\u002Forcid.org\u002F0009-0006-0838-4370",{"name":439,"orcid":9},"Manojlović Stefan",{"tldr":441,"method":442,"finding":443,"direction":84,"opportunity":444},"研究塞尔维亚Kolubara河岸侵蚀97年间的河道迁移、耕地损失及社会经济影响。","结合地籍图、UAV遥感、GIS与人口土地利用数据分析四条曲流。","最大侧向迁移259.3米，损失17.6公顷耕地约2.4万美元，村落人口降超40%。","可将河岸侵蚀遥感监测与农户生计、土地价值评估耦合，构建侵蚀风险预警与补偿决策模型。","2026-10-20T23:30:18.982943Z",{"id":447,"title":448,"url":449,"summary":450,"summary_zh":451,"content":9,"source_name":452,"source_url":449,"published_at":453,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":323,"score_detail":454,"sources":456,"tags":458,"primary_topic":463,"secondary_topics":469,"classification":471,"search_phrases":496,"slug":499,"view_count":79,"doi":500,"paper":501,"created_at":524},5367,"Integration of multi-source UAV remote sensing features and derived features for winter wheat aboveground biomass estimation","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.atech.2026.102656","Accurate estimation of winter wheat ( Triticum aestivum L.) aboveground biomass (AGB) is important for crop growth monitoring and field management. However, unmanned aerial vehicle (UAV)-based AGB estimation remains challenging due to variations in canopy conditions across growth stages, and different remote sensing features can capture complementary characteristics related to AGB estimation. This study integrated multi-source UAV-derived features, including vegetation indices (VIs), texture features (TFs), light detection and ranging (LiDAR)-derived features, and derived features (DFs) generated from the original feature sets, with four machine learning algorithms for winter wheat AGB estimation. Results showed that TFs provided better prediction performance than other single-source feature sets. Compared with single-source feature sets, the integration of VIs, TFs, LiDAR-derived features, and DFs further improved AGB estimation, and the random forest (RF) model achieved the best performance among the evaluated models (R² = 0.923, RMSE = 1.731 Mg ha⁻¹). Incremental R² analysis based on a stage-only baseline model showed that the RF model explained additional variation in AGB beyond growth-stage information, with an incremental R² of 0.479. Stage-specific evaluation indicated that model performance varied among growth stages, with the highest accuracy observed at the booting stage (R² = 0.632, RMSE = 1.425 Mg ha⁻¹). Feature contribution analysis based on the full-feature fusion model using all growth-stage data identified canopy coverage and several DFs as important predictors, while stage-specific analyses showed differences in dominant predictors across growth stages. The integration of multi-source UAV-derived features and DFs with machine learning provides an effective approach for winter wheat AGB estimation, while model performance remains strongly dependent on growth stage.","准确估算冬小麦（Triticum aestivum L.）地上生物量（aboveground biomass, AGB）对作物生长监测和田间管理具有重要意义。然而，由于不同生育期冠层条件存在差异，且不同遥感特征能够捕捉与AGB估算相关的互补信息，基于无人机（unmanned aerial vehicle, UAV）的AGB估算仍面临挑战。本研究将多源无人机衍生特征，包括植被指数（vegetation indices, VIs）、纹理特征（texture features, TFs）、激光雷达（light detection and ranging, LiDAR）衍生特征以及由原始特征集生成的衍生特征（derived features, DFs），与四种机器学习算法相结合，用于冬小麦AGB估算。结果表明，TFs的预测性能优于其他单一来源特征集。与单一来源特征集相比，融合VIs、TFs、LiDAR衍生特征和DFs进一步提高了AGB估算精度，其中随机森林（random forest, RF）模型在所评估的模型中表现最佳（R² = 0.923，RMSE = 1.731 Mg ha⁻¹）。基于仅含生育期信息的基线模型进行的增量R²分析表明，RF模型在生育期信息之外解释了AGB的额外变异，增量R²为0.479。分生育期评估表明，模型性能在不同生育期之间存在差异，其中在孕穗期观察到最高精度（R² = 0.632，RMSE = 1.425 Mg ha⁻¹）。基于使用全部生育期数据的全特征融合模型进行的特征贡献分析识别出冠层覆盖度和若干DFs为重要预测因子，而分生育期分析则表明不同生育期的主导预测因子存在差异。将多源无人机衍生特征和DFs与机器学习相结合，为冬小麦AGB估算提供了一种有效方法，但模型性能仍强烈依赖于生育期。","Smart Agricultural Technology","2026-10-17T00:00:00Z",{"impact":171,"substance":103,"depth":102,"authority":20,"freshness":104,"relevant":22,"comment":455},"该研究融合无人机多源遥感特征与衍生特征，用随机森林估算冬小麦地上生物量，方法新颖、结论可靠，对作物长势监测有参考价值。",[457],{"name":452,"url":449},[459,460,27,461,462],"智慧农业","无人机","冬小麦","生物量估算",{"code":464,"slug":465,"name":466,"path":467,"parent_code":468},"A2","wheat","小麦","\u002Ftopic\u002Ffield-crops\u002Fwheat","A",[470],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":472},{"candidates":473,"agricultural_evidence":46},[474,480,484,491],{"code":464,"score":475,"supported":46,"title":476,"abstract":478,"tags":479},26,[477,465],"winter wheat",[466,477,465],[461],{"code":32,"score":171,"supported":46,"title":481,"abstract":482,"tags":483},[50],[49,50],[462,27],{"code":485,"score":90,"supported":46,"title":486,"abstract":487,"tags":490},"I2",[],[488,489],"机器学习","machine learning",[],{"code":492,"score":22,"supported":14,"title":493,"abstract":494,"tags":495},"I1",[],[],[459],[497,498],"无人机 多源遥感 冬小麦 生物量","冬小麦 地上生物量 随机森林","无人机多源遥感冬小麦生物量-5367","10.1016\u002Fj.atech.2026.102656",{"doi":500,"openalex_id":502,"authors":503,"venue":452,"cited_by_count":79,"oa_url":449,"card":519,"direction":86,"ingested_from":87},"W7222806066",[504,506,508,510,513,515,517],{"name":505,"orcid":9},"Guangtao Wang",{"name":507,"orcid":9},"Sumei Yao",{"name":509,"orcid":9},"Yanzheng Xie",{"name":511,"orcid":512},"Anzhen Qin","https:\u002F\u002Forcid.org\u002F0000-0002-2550-0015",{"name":514,"orcid":9},"Xiangdong Chen",{"name":516,"orcid":9},"Yuhao Zhang",{"name":518,"orcid":9},"Lina Jiang",{"tldr":520,"method":521,"finding":522,"direction":86,"opportunity":523},"融合无人机多源遥感特征与衍生特征，用机器学习估算冬小麦地上生物量。","无人机植被指数、纹理、LiDAR特征及衍生特征结合四种机器学习算法建模。","多源特征融合优于单一特征，随机森林最优（R²=0.923），精度随生育期变化。","可探索生育期自适应建模与特征选择，提升跨期生物量估算的稳健性与可迁移性。","2026-10-20T23:30:03.106267Z"]