[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2063":3,"related-2063":101},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":71,"slug":74,"view_count":75,"doi":76,"paper":77,"created_at":100},2063,"Higher vegetation diversity and stronger forest structure occur in managed zones despite widespread land cover degradation in Ise Forest Reserve Nigeria","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44415-026-00129-1","The forest ecosystem of Ise Forest Reserve in Nigeria is threatened by land-use conversion and timber exploitation. However, part of the enclave was managed under the Southwest\u002FNiger Delta Forest Project, described as the “managed zone”. This study investigated spatial differences in vegetation condition and temporal patterns of land-cover degradation by integrating systematic field sampling, remote sensing and geographic information technologies. Eleven 25 × 25 m plots were laid along 200 m transects during a field sampling exercise carried out in disturbed and managed zones and were used to test differences in species diversity and structural attributes. In total, 27 species (17 families) were recorded, with Ricinodendron heudelotii achieving the highest frequency ( n = 55) and Diospyros lotus exhibiting the most significant mean height (12.20 ± 0.00 m), canopy cover (18.60 ± 0.00 m), and diameter at breast height, DBH (138.13 ± 0.00 cm). Significant differences ( p \u003C 0.001) in height, DBH, and canopy cover were observed between the disturbed and managed zones. Vegetation diversity was higher in the managed zone than in the disturbed zone. The values of the Shannon–Wiener, Simpson concentration, and Margalef richness indices were higher in the managed zone than in the disturbed zone. The lower rates of farmland expansion and secondary forest loss in the managed zone indicated spatial differences in the severity of land degradation. Since data on the area’s pre-intervention stage for direct comparison were not available, the differences between the managed and disturbed zones could not be attributed solely to the 2021 conservation project and remain subject to review in a long-term evaluation.","尼日利亚伊势森林保护区的森林生态系统正受到土地利用转换和木材采伐的威胁。然而，该飞地的一部分在“西南\u002F尼日尔三角洲森林项目”下得到管理，被称为“管理区”。本研究通过整合系统野外采样、遥感与地理信息技术，探讨了植被状况的空间差异以及土地覆盖退化的时间格局。在受干扰区和管理区开展的野外采样中，沿200 m样带设置了11个25 × 25 m样方，用于检验物种多样性和结构属性的差异。共记录27个物种（17科），其中非洲樱桃（Ricinodendron heudelotii）出现频率最高（n = 55），而君迁子（Diospyros lotus）的平均高度（12.20 ± 0.00 m）、冠层盖度（18.60 ± 0.00 m）和胸径（DBH，138.13 ± 0.00 cm）最大。受干扰区与管理区在高度、胸径和冠层盖度方面存在显著差异（p \u003C 0.001）。管理区的植被多样性高于受干扰区。Shannon–Wiener指数、Simpson集中度指数和Margalef丰富度指数在管理区均高于受干扰区。管理区农田扩张和次生林丧失速率较低，表明土地退化严重程度存在空间差异。由于缺乏该地区干预前阶段的数据以进行直接比较，管理区与受干扰区之间的差异不能完全归因于2021年的保护项目，仍有待长期评估加以审视。",null,"Discover Forests","2026-09-08T00:00:00Z","论文",10,false,61,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":22},8,18,15,12,1,"尼日利亚保护区管理成效的实证研究，方法扎实但地域性强、与国内三农信息化关联有限，可作为遥感生态监测案例参考。",[24],{"name":10,"url":6},[26,27,28,29,30],"生态修复","生物多样性","土地退化","遥感监测","森林保护",{"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},[44,52,60,66],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":51},7,true,[],[49,50],"遥感","remote sensing",[29],{"code":53,"score":54,"supported":46,"title":55,"abstract":56,"tags":59},"I4",6,[],[57,58],"地理信息","geographic information",[],{"code":61,"score":62,"supported":14,"title":63,"abstract":64,"tags":65},"H6",2,[],[],[26,27],{"code":67,"score":21,"supported":14,"title":68,"abstract":69,"tags":70},"H1",[],[],[28],[72,73],"生物多样性 土地退化 森林保护 生态修复","生物多样性 土地退化","生物多样性土地退化森林保护生态修复-2063",3,"10.1007\u002Fs44415-026-00129-1",{"doi":76,"openalex_id":78,"authors":79,"venue":10,"cited_by_count":91,"oa_url":92,"card":93,"direction":97,"ingested_from":99},"W7211968416",[80,83,85,87,89],{"name":81,"orcid":82},"Oluwatobi Emmanuel Olaniyi","https:\u002F\u002Forcid.org\u002F0000-0002-1421-9068",{"name":84,"orcid":9},"Elijah Ogunsakin",{"name":86,"orcid":9},"Babafemi Ogunjemite",{"name":88,"orcid":9},"Kawiyu Rafiu",{"name":90,"orcid":9},"Ebere Anozie",0,"https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44415-026-00129-1.pdf",{"tldr":94,"method":95,"finding":96,"direction":97,"opportunity":98},"研究尼日利亚Ise森林保护区管理区与干扰区的植被多样性和结构差异及土地覆盖退化。","野外样方调查、遥感与GIS结合，比较管理区和干扰区植被指标。","管理区植被多样性和森林结构显著优于干扰区，农田扩张和次生林损失更低。","农业遥感与作物表型","可开展长期监测评估保护项目效果，结合多时相遥感量化管理措施对植被恢复的因果影响。","openalex","2026-09-10T23:30:30.245193Z",{"total":54,"page":21,"page_size":54,"items":102},[103,181,261,332,401,474],{"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":118,"tags":120,"primary_topic":124,"secondary_topics":125,"classification":126,"search_phrases":153,"slug":156,"view_count":75,"doi":157,"paper":158,"created_at":180},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":114,"depth":18,"authority":115,"freshness":116,"relevant":21,"comment":117},16,22,13,9,"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。",[119],{"name":109,"url":106},[121,28,29,122,123],"Sentinel-2","Google Earth Engine","荒漠化防治",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":127},{"candidates":128,"agricultural_evidence":46},[129,133,139,145,149],{"code":32,"score":116,"supported":46,"title":130,"abstract":131,"tags":132},[],[49,50],[122,121,29],{"code":134,"score":75,"supported":46,"title":135,"abstract":136,"tags":138},"H2",[],[137],"soil",[],{"code":140,"score":75,"supported":46,"title":141,"abstract":142,"tags":144},"H7",[],[143],"干旱",[],{"code":67,"score":21,"supported":14,"title":146,"abstract":147,"tags":148},[],[],[28],{"code":61,"score":21,"supported":14,"title":150,"abstract":151,"tags":152},[],[],[123],[154,155],"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":157,"openalex_id":159,"authors":160,"venue":109,"cited_by_count":91,"oa_url":106,"card":175,"direction":97,"ingested_from":99},"W7214937065",[161,164,167,170,172],{"name":162,"orcid":163},"Naîmi Bendouina","https:\u002F\u002Forcid.org\u002F0000-0002-9776-1660",{"name":165,"orcid":166},"Lakhdar Guérine","https:\u002F\u002Forcid.org\u002F0000-0003-0836-2703",{"name":168,"orcid":169},"Nassira Boukaya","https:\u002F\u002Forcid.org\u002F0000-0002-6201-3523",{"name":171,"orcid":9},"Djallal Moumen",{"name":173,"orcid":174},"Omar Belabid","https:\u002F\u002Forcid.org\u002F0000-0002-7736-2259",{"tldr":176,"method":177,"finding":178,"direction":97,"opportunity":179},"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":182,"title":183,"url":184,"summary":185,"summary_zh":186,"content":9,"source_name":187,"source_url":184,"published_at":188,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":189,"score_detail":190,"sources":193,"tags":195,"primary_topic":198,"secondary_topics":202,"classification":204,"search_phrases":245,"slug":248,"view_count":21,"doi":249,"paper":250,"created_at":260},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":17,"substance":18,"depth":191,"authority":54,"freshness":116,"relevant":21,"comment":192},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。",[194],{"name":187,"url":184},[28,29,196,197,123],"GIS","植被覆盖",{"code":53,"slug":199,"name":200,"path":201,"parent_code":36},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",[203],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":205},{"candidates":206,"agricultural_evidence":46},[207,211,215,220,225,231,237,241],{"code":53,"score":13,"supported":46,"title":208,"abstract":209,"tags":210},[],[57,196,58],[196],{"code":32,"score":17,"supported":46,"title":212,"abstract":213,"tags":214},[],[49,50],[197,29],{"code":134,"score":54,"supported":46,"title":216,"abstract":217,"tags":219},[],[218,137],"土壤",[],{"code":140,"score":54,"supported":46,"title":221,"abstract":222,"tags":224},[],[143,223],"drought",[],{"code":226,"score":75,"supported":46,"title":227,"abstract":228,"tags":230},"C",[],[229],"livestock",[],{"code":232,"score":75,"supported":46,"title":233,"abstract":234,"tags":236},"H3",[],[235],"水资源",[],{"code":67,"score":21,"supported":14,"title":238,"abstract":239,"tags":240},[],[],[28],{"code":61,"score":21,"supported":14,"title":242,"abstract":243,"tags":244},[],[],[123],[246,247],"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":249,"openalex_id":251,"authors":252,"venue":187,"cited_by_count":91,"oa_url":184,"card":255,"direction":97,"ingested_from":99},"W7214127171",[253],{"name":254,"orcid":9},"حسنية السني رجب البكوري",{"tldr":256,"method":257,"finding":258,"direction":97,"opportunity":259},"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":262,"title":263,"url":264,"summary":265,"summary_zh":266,"content":9,"source_name":267,"source_url":264,"published_at":268,"category":12,"cover_url":9,"hotness":269,"is_selected":14,"score":270,"score_detail":271,"sources":273,"tags":277,"primary_topic":280,"secondary_topics":281,"classification":287,"search_phrases":312,"slug":315,"view_count":303,"doi":316,"paper":317,"created_at":331},3279,"ASSESSMENT OF SOIL SALINIZATION IN IRRIGATED LANDS BASED ON REMOTE SENSING AND GIS TECHNOLOGIES","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22900049","This thesis analyzes modern approaches to monitoring and assessing soil salinity in irrigated areas of Uzbekistan and Central Asia. Soil salinization is one of the major land degradation processes affecting the reclamation condition of irrigated lands, crop growth and agricultural productivity. Although conventional field and laboratory surveys provide detailed information, they have limitations in terms of regular monitoring of large areas. Therefore, remote sensing and geographic information systems provide promising tools for rapid and spatial assessment of soil salinity. The study considers the application of satellite imagery, particularly Sentinel-2 and Landsat data, for soil salinity assessment, including the use of spectral bands and salinity indices, GIS-based thematic mapping, and validation using field and laboratory observations. Recent studies demonstrate the potential of remote sensing data for spatial assessment and mapping of soil salinity under the conditions of Uzbekistan. Such an integrated approach can support rapid monitoring of the reclamation status of irrigated lands, identification of salt-affected areas and spatial planning of appropriate reclamation measures.","本论文分析了乌兹别克斯坦和中亚灌溉区土壤盐分监测与评估的现代方法。土壤盐渍化是影响灌溉土地改良状况、作物生长和农业生产力的主要土地退化过程之一。尽管传统的野外调查和实验室分析能够提供详细信息，但在大范围定期监测方面存在局限性。因此，遥感与地理信息系统为土壤盐分的快速空间评估提供了有前景的工具。本研究探讨了卫星影像，特别是Sentinel-2和Landsat数据在土壤盐分评估中的应用，包括光谱波段和盐分指数的使用、基于GIS的主题制图，以及利用野外和实验室观测数据进行验证。近期研究表明，遥感数据在乌兹别克斯坦条件下用于土壤盐分空间评估与制图具有潜力。这种综合方法可支持灌溉土地改良状况的快速监测、盐渍化区域的识别以及适当改良措施的空间规划。","Zenodo (CERN European Organization for Nuclear Research)","2026-09-22T00:00:00Z",25,66,{"impact":20,"substance":18,"depth":19,"authority":20,"freshness":116,"relevant":21,"comment":272},"基于遥感与GIS的灌溉区土壤盐渍化监测论文，方法成熟、结论可靠，对盐碱地治理与农业信息化有参考价值，但属区域性研究，影响层级有限。",[274,275],{"name":267,"url":264},{"name":267,"url":276},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22900048",[28,29,196,278,279],"土壤盐渍化","灌溉农业",{"code":53,"slug":199,"name":200,"path":201,"parent_code":36},[282,283],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"code":134,"slug":137,"name":284,"path":285,"parent_code":286},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",{"status":39,"locked":14,"version":40,"method":41,"evidence":288},{"candidates":289,"agricultural_evidence":46},[290,294,298,302,308],{"code":53,"score":18,"supported":46,"title":291,"abstract":292,"tags":293},[196],[57,196,58],[196],{"code":32,"score":19,"supported":46,"title":295,"abstract":296,"tags":297},[50],[49,50],[29],{"code":134,"score":191,"supported":46,"title":299,"abstract":300,"tags":301},[137],[218,137],[],{"code":232,"score":303,"supported":46,"title":304,"abstract":305,"tags":307},4,[],[306],"灌溉",[279],{"code":67,"score":21,"supported":14,"title":309,"abstract":310,"tags":311},[],[],[28],[313,314],"乌兹别克斯坦 土壤盐渍化 遥感","Sentinel-2 盐渍化 灌溉","乌兹别克斯坦土壤盐渍化遥感-3279","10.5281\u002Fzenodo.22900049",{"doi":316,"openalex_id":318,"authors":319,"venue":267,"cited_by_count":91,"oa_url":264,"card":326,"direction":97,"ingested_from":99},"W7214052773",[320,322,324],{"name":321,"orcid":9},"Mardiyev",{"name":323,"orcid":9},"Ergashaliyev",{"name":325,"orcid":9},"G'aniyev",{"tldr":327,"method":328,"finding":329,"direction":97,"opportunity":330},"综述遥感与GIS评估乌兹别克斯坦及中亚灌溉土壤盐渍化的方法。","Sentinel-2与Landsat影像、光谱盐分指数、GIS制图及野外验证。","遥感与GIS可快速空间评估盐渍化，支持灌溉地改良状态监测与规划。","可探索多源遥感与机器学习融合的盐分指数模型，提升干旱区盐渍化反演精度与时效。","2026-09-23T23:30:19.341486Z",{"id":333,"title":334,"url":335,"summary":336,"summary_zh":337,"content":9,"source_name":338,"source_url":335,"published_at":339,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":340,"score_detail":341,"sources":345,"tags":347,"primary_topic":351,"secondary_topics":352,"classification":359,"search_phrases":381,"slug":384,"view_count":54,"doi":385,"paper":386,"created_at":400},3174,"Remote sensing and geospatial modeling for the detection of war-induced land use abandonment, soil disturbance, and degradation in Sumy region of Ukraine: a systematic review","https:\u002F\u002Fdoi.org\u002F10.31548\u002Fzemleustriy2026.03.015","The full-scale military invasion of Ukraine has caused multidimensional transformations of agricultural landscapes, land cover, and ecosystems. The Sumy region, located along the northeastern border with the Russian Federation, is a critical region that has suffered from intense fighting, prolonged artillery shelling, and ongoing border clashes during the study period from 2022 to May 2026. This paper systematically evaluates the application of remote sensing and geospatial modeling techniques to detect, quantify, and monitor war-induced land abandonment, as well as physical land cover disturbances, chemical contamination, and broader environmental degradation in this theater of war. Combining recent scientific publications on the war in Ukraine and comparative global examples (Syria, Iraq, and Sudan), the effectiveness of integrating multi-sensor data, including optical (Sentinel-2, Landsat), synthetic aperture radar (SAR; Sentinel-1), thermal, and very high resolution (VHR; Maxar, WorldView) platforms, as well as advanced machine and deep learning algorithms (Random Forest, Deep Learning) and time series analysis (FANTA, two-period curve approximation), is assessed. The results of the study show that while geospatial modeling is an indispensable tool for rapid, large-scale, and non-contact damage assessment in active conflict settings, significant critical research gaps remain, namely separating short-term cessation of agricultural use from actual land abandonment caused by war, verifying such facts in the face of a severe shortage of reliable ground data, and managing sensitive geospatial information. This systematic review highlights existing methodological gaps and outlines future perspectives needed to build a harmonized spatial monitoring system capable of guiding post-conflict recovery and environmental remediation based on actual remote sensing data at the regional scale.Received: 01.07.2026;Accepted:26.08.2026;","乌克兰遭受的大规模军事入侵已导致农业景观、土地覆盖和生态系统发生多维转变。苏梅州位于乌克兰与俄罗斯联邦东北部接壤的边境沿线，是一个关键地区，在研究期间（2022年至2026年5月）遭受了激烈战斗、长期炮击以及持续边境冲突的影响。本文系统评估了遥感与地理空间建模技术在探测、量化和监测该战区战争导致的土地撂荒、土地覆盖物理扰动、化学污染及更广泛环境退化方面的应用。结合近期关于乌克兰战争的科学出版物及全球比较案例（叙利亚、伊拉克和苏丹），本文评估了多传感器数据整合的有效性，包括光学（Sentinel-2、Landsat）、合成孔径雷达（SAR；Sentinel-1）、热红外及甚高分辨率（VHR；Maxar、WorldView）平台，以及先进的机器学习和深度学习算法（随机森林、深度学习）和时间序列分析（FANTA、两期曲线近似）。研究结果表明，尽管地理空间建模是在活跃冲突环境中进行快速、大规模、非接触式损害评估不可或缺的工具，但仍存在重要的关键研究空白，即如何区分农业利用的短期中止与战争导致的实际土地撂荒，如何在严重缺乏可靠地面数据的情况下核实此类事实，以及如何管理敏感的地理空间信息。本系统综述指出了现有的方法论空白，并勾勒了未来前景，以构建一个协调的空间监测系统，从而基于区域尺度上的实际遥感数据指导冲突后恢复和环境修复。收稿日期：2026年7月1日；接受日期：2026年8月26日；","Zemleustrìj kadastr ì monìtorìng zemelʹ","2026-09-21T00:00:00Z",75,{"impact":18,"substance":342,"depth":343,"authority":20,"freshness":17,"relevant":21,"comment":344},20,17,"系统综述遥感与地理空间建模在战区耕地撂荒与土壤退化识别中的应用，方法体系与数据源梳理扎实，对农业遥感监测有参考价值，但属境外冲突场景研究，国内落地关联度有限。",[346],{"name":338,"url":335},[348,28,29,349,350],"农业人工智能","耕地撂荒","冲突农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[353,358],{"code":354,"slug":355,"name":356,"path":357,"parent_code":36},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",{"code":134,"slug":137,"name":284,"path":285,"parent_code":286},{"status":39,"locked":14,"version":40,"method":41,"evidence":360},{"candidates":361,"agricultural_evidence":46},[362,366,373,377],{"code":32,"score":19,"supported":46,"title":363,"abstract":364,"tags":365},[50],[49,50],[29],{"code":354,"score":13,"supported":46,"title":367,"abstract":368,"tags":372},[],[369,370,371],"深度学习","机器学习","deep learning",[348],{"code":134,"score":17,"supported":46,"title":374,"abstract":375,"tags":376},[137],[],[],{"code":67,"score":21,"supported":14,"title":378,"abstract":379,"tags":380},[],[],[28],[382,383],"乌克兰 苏梅州 遥感 耕地撂荒","Sentinel-1 合成孔径雷达 土地退化监测","乌克兰苏梅州遥感耕地撂荒-3174","10.31548\u002Fzemleustriy2026.03.015",{"doi":385,"openalex_id":387,"authors":388,"venue":338,"cited_by_count":91,"oa_url":335,"card":395,"direction":97,"ingested_from":99},"W7213890485",[389,391,393],{"name":390,"orcid":9},"V. Bogdanets",{"name":392,"orcid":9},"Ye. Berezhniak",{"name":394,"orcid":9},"D. Brovko",{"tldr":396,"method":397,"finding":398,"direction":97,"opportunity":399},"系统综述遥感与地理空间建模在乌克兰苏梅地区检测战争导致的土地弃耕、土壤扰动与退化的应用。","综述多源遥感（Sentinel-2\u002F1、Landsat、VHR）与机器学习、时间","遥感是冲突区快速非接触损害评估的关键工具，但区分短期停耕与真正弃耕、地面数据匮乏及敏感信息管理仍是重","可研究多源时序遥感与弱监督学习结合，构建冲突区弃耕识别与地面验证缺失下的不确定性量化框架。","2026-09-22T23:30:23.289241Z",{"id":402,"title":403,"url":404,"summary":405,"summary_zh":406,"content":9,"source_name":407,"source_url":404,"published_at":339,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":408,"score_detail":409,"sources":412,"tags":414,"primary_topic":418,"secondary_topics":419,"classification":420,"search_phrases":441,"slug":444,"view_count":21,"doi":445,"paper":446,"created_at":473},3172,"Demining and revitalising war-affected landscapes in Ukraine: multi-actor governance responses","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11625-026-01892-y","Abstract Ukraine faces one of the world’s largest and most complex explosive-ordnance contamination problems, affecting agricultural land, settlements, forests, and other natural ecosystems. This paper examines how global demining strategies are adapted within Ukraine’s multi-actor governance system and what this means for linking clearance with land recovery, soil restoration, and long-term environmental resilience. It addresses a gap in understanding how mine-action governance supports integrated landscape recovery in war-affected settings. We developed a seven-strategy analytical typology of mine-action and land-recovery approaches, comprising manual clearance, mechanical demining, remote sensing and mapping, community-based approaches, ecological remediation, legal and institutional frameworks, and post-conflict land-use zoning. Applying this typology to Ukraine and drawing on stakeholder analysis, policy review, and expert interviews, we found that manual clearance and mechanical land-release methods remain central, yet supported by new legal, institutional, and governance arrangements. Digital innovation in Ukraine’s mine-action sector is advancing rapidly, with UAV mapping, AI-supported detection, and integrated prioritization platforms increasingly incorporated into survey and planning processes. Uptake remains uneven, however, and interoperability and data-sharing gaps continue to limit implementation. Ukraine’s mine-action governance system is multi-actor and polycentric, but coordination remains challenging because of overlapping mandates, fragmented information flows, and differing donor priorities. These conditions reveal both opportunities and coordination challenges in linking mine action to environmental recovery and long-term land-use planning. Environmental concerns, including soil contamination in and around explosion craters, damage to forest areas, and degradation of shelterbelts, are receiving increasing attention, yet implementation remains limited and often confined to small or time-bound pilot projects. Community participation in prioritization of mine-action activities remains uneven, and interviewees reported that smallholders risk being sidelined by larger agricultural actors with greater influence over clearance demands. Scale remains a major challenge, requiring coordination across national, regional, and local levels while reconciling different humanitarian, economic, environmental, and recovery priorities. Our findings highlight that sustainable recovery depends on integrating mine action governance, environmental assessment and remediation, land-use planning, and long-term soil and ecosystem monitoring into a coherent recovery process. Ukraine’s evolving multi-actor approach offers lessons for other conflict-affected regions seeking to address explosive-ordnance contamination, environmental degradation, and landscape and livelihood recovery during and after armed conflict.","摘要：乌克兰面临着全球规模最大、最复杂的爆炸物污染问题之一，污染波及农田、居民点、森林及其他自然生态系统。本文考察了全球排雷策略如何在乌克兰的多主体治理体系中加以调适，以及这对于将排雷与土地恢复、土壤修复和长期环境韧性相衔接意味着什么。本文填补了关于排雷行动治理如何支持受战争影响地区综合景观恢复这一认知空白。我们构建了一个包含七种策略的排雷行动与土地恢复分析方法类型学，包括人工排雷、机械排雷、遥感与测绘、社区参与式方法、生态修复、法律与制度框架，以及冲突后土地利用分区。将该类型学应用于乌克兰，并结合利益相关者分析、政策审查和专家访谈，我们发现人工排雷和机械土地释放方法仍居核心地位，但得到了新的法律、制度和治理安排的支撑。乌克兰排雷行动领域的数字创新正在快速发展，无人机测绘、人工智能辅助探测和综合优先级排序平台日益融入调查与规划流程。然而，应用程度仍不均衡，互操作性和数据共享方面的差距继续制约着实施。乌克兰的排雷行动治理体系是多主体和多中心的，但由于职责重叠、信息流动碎片化以及捐助方优先事项各异，协调仍面临挑战。这些条件既揭示了将排雷行动与环境恢复和长期土地利用规划相衔接的机遇，也暴露了其中的协调难题。环境关切——包括爆炸坑内及周边的土壤污染、林区破坏和林带退化——正受到越来越多的关注，但实施仍然有限，且往往局限于小规模或有时限的试点项目。社区在排雷行动活动优先级排序中的参与仍不均衡，受访者反映，小农户有可能被对排雷需求拥有更大影响力的大型农业主体边缘化。规模仍是一大挑战，需要在国家、区域和地方各级之间进行协调，同时兼顾人道主义、经济、环境和恢复等不同优先事项。我们的发现凸显了……","Sustainability Science",82,{"impact":18,"substance":114,"depth":410,"authority":191,"freshness":116,"relevant":21,"comment":411},19,"核心期刊论文，系统剖析乌克兰排雷治理与土地生态恢复的多主体协同机制，对冲突地区农业用地修复与遥感数字化应用有借鉴价值。",[413],{"name":407,"url":404},[26,29,415,416,417],"排雷治理","土地复垦","无人机测绘",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":421},{"candidates":422,"agricultural_evidence":46},[423,427,431,437],{"code":32,"score":17,"supported":46,"title":424,"abstract":425,"tags":426},[],[49,50],[417,29],{"code":134,"score":54,"supported":46,"title":428,"abstract":429,"tags":430},[],[218,137],[],{"code":432,"score":75,"supported":46,"title":433,"abstract":434,"tags":436},"G2",[],[435],"小农户",[],{"code":61,"score":21,"supported":14,"title":438,"abstract":439,"tags":440},[],[],[26],[442,443],"乌克兰 排雷 土地恢复","地雷污染 农业用地 遥感","乌克兰排雷土地恢复-3172","10.1007\u002Fs11625-026-01892-y",{"doi":445,"openalex_id":447,"authors":448,"venue":407,"cited_by_count":91,"oa_url":404,"card":467,"direction":97,"ingested_from":99},"W7213868215",[449,452,455,458,461,464],{"name":450,"orcid":451},"Mariana Melnykovych","https:\u002F\u002Forcid.org\u002F0000-0003-0481-2842",{"name":453,"orcid":454},"Olena Melnyk","https:\u002F\u002Forcid.org\u002F0000-0001-5763-0431",{"name":456,"orcid":457},"Oleksandr Soshenskyi","https:\u002F\u002Forcid.org\u002F0000-0002-3028-0723",{"name":459,"orcid":460},"Anna McKean","https:\u002F\u002Forcid.org\u002F0000-0002-1107-2881",{"name":462,"orcid":463},"Владислав Дудар","https:\u002F\u002Forcid.org\u002F0009-0006-9677-9531",{"name":465,"orcid":466},"Patrick O. Waeber","https:\u002F\u002Forcid.org\u002F0000-0002-3229-0124",{"tldr":468,"method":469,"finding":470,"direction":471,"opportunity":472},"分析乌克兰排雷与土地恢复的多主体治理，提出七类策略并评估数字技术应用。","七策略类型学、利益相关者分析、政策审查与专家访谈。","排雷治理呈多中心但协调难，数字技术应用不均，环境恢复多为小规模试点。","数字乡村与农业信息化","可研究排雷后土地恢复的数字化协同平台与数据共享机制，关注小农参与。","2026-09-22T23:30:23.129381Z",{"id":475,"title":476,"url":477,"summary":478,"summary_zh":479,"content":9,"source_name":480,"source_url":477,"published_at":481,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":91,"score_detail":482,"sources":484,"tags":486,"primary_topic":488,"secondary_topics":489,"classification":490,"search_phrases":507,"slug":510,"view_count":62,"doi":511,"paper":512,"created_at":535},2061,"An Integrated Assessment of Anthropogenic and Ecological Threats to Pangolin Survival in Takamanda National Park, Southwest Region of Cameroon","https:\u002F\u002Fdoi.org\u002F10.54536\u002Fjwc.v2i1.8266","Pangolins are the world’s most trafficked wild mammals, yet cryptic behaviours hinder the localised, empirical data necessary for effective conservation management. This study provides an integrated assessment of ecological and anthropogenic threats facing three pangolin species (Phataginus tricuspis, P. tetradactyla, and Smutsia gigantea) within Takamanda National Park, Cameroon. Utilizing a mixed-methods approach, we triangulated decades of remote sensing data with local ecological knowledge (LEK) and focus group datasets. Land use\u002Fland cover analysis revealed severe habitat fragmentation, with critical dense forest cover declining by 10.34% (6890.83\u002Fha) between 2013 and 2023, driven primarily by inward agricultural encroachment from enclave villages. Logistic regression models confirmed intense pangolin avoidance behaviour toward human activity, revealing powerful deterrent relationships with bush huts (OR = 0.049, p = 0.003) and wire snares (OR = 0.441, p = 0.001). Socio-economic profiles identified pervasive local consumption 80% of respondents have consumed pangolin meat and acute poverty (88.7%) fuelling a highly commercialized bushmeat trade, alongside an active, transnational scale trafficking pipeline driven by foreign traders (5.3%). This immediate hunting pressure is severely compounded by governance deficits arising from the nearly a decade long regional Anglophone Crisis, zero baseline cultural taboos protecting the species, and critical biological misconceptions regarding reproductive rates in high-encroachment zones. Eventually, 28.6% of communities attribute perceived declines in poaching strictly to species scarcity. Reversing this trend requires an immediate transition from reactive enforcement to multi-faceted, community-led management that pairs customary legal integration with sustainable cocoa-livelihood interventions.","穿山甲是全球被贩运最多的野生哺乳动物，但其隐秘的行为习性阻碍了有效保护管理所需的本地化实证数据的获取。本研究对喀麦隆塔卡曼达国家公园内三种穿山甲（Phataginus tricuspis、P. tetradactyla和Smutsia gigantea）所面临的生态与人为威胁进行了综合评估。采用混合方法，我们将数十年遥感数据与当地生态知识（LEK）及焦点小组数据集进行了三角互证。土地利用\u002F土地覆盖分析揭示了严重的栖息地破碎化，2013年至2023年间关键密林覆盖面积减少了10.34%（6890.83公顷），主要驱动因素为飞地村庄的农业内侵。逻辑回归模型证实穿山甲对人类活动具有强烈的回避行为，与丛林窝棚（OR = 0.049，p = 0.003）和铁丝套索（OR = 0.441，p = 0.001）之间存在显著的威慑关系。社会经济概况调查发现，当地普遍存在穿山甲肉消费现象——80%的受访者曾食用穿山甲肉——以及极端贫困（88.7%）推动了高度商业化的丛林肉贸易，同时存在由外国贸易商（5.3%）驱动的活跃的跨国规模贩运链条。这一直接的狩猎压力因治理缺陷而严重加剧，这些缺陷源于近十年之久的地区英语危机、保护该物种的基线文化禁忌为零，以及高侵占区域内关于繁殖率的严重生物学误解。最终，28.6%的社区将偷猎减少严格归因于物种稀缺。扭转这一趋势需要立即从被动执法转向多方面的、社区主导的管理模式，将习惯法整合与可持续可可生计干预相结合。","Journal of Wildlife and Conservation","2026-09-09T00:00:00Z",{"impact":91,"substance":91,"depth":91,"authority":91,"freshness":91,"relevant":91,"comment":483},"喀麦隆穿山甲保护研究，属野生动物保护与生态遥感领域，与三农、农业信息化、智慧农业主题无直接关联，不建议进入每日精选。",[485],{"name":480,"url":477},[27,29,487],"野生动物保护",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":491},{"candidates":492,"agricultural_evidence":46},[493,497,503],{"code":32,"score":45,"supported":46,"title":494,"abstract":495,"tags":496},[],[49,50],[29],{"code":498,"score":75,"supported":46,"title":499,"abstract":500,"tags":502},"B3",[],[501],"可可",[],{"code":61,"score":62,"supported":14,"title":504,"abstract":505,"tags":506},[],[],[27,487],[508,509],"野生动物保护 生物多样性 遥感监测","野生动物保护 生物多样性","野生动物保护生物多样性遥感监测-2061","10.54536\u002Fjwc.v2i1.8266",{"doi":511,"openalex_id":513,"authors":514,"venue":480,"cited_by_count":91,"oa_url":477,"card":530,"direction":97,"ingested_from":99},"W7212081578",[515,517,520,522,524,527],{"name":516,"orcid":9},"Kirensky Jerry Mbi",{"name":518,"orcid":519},"Melle Maurice","https:\u002F\u002Forcid.org\u002F0000-0002-3700-2400",{"name":521,"orcid":9},"Longonje Simon Ngomba",{"name":523,"orcid":9},"Athanasius Fuashi Nkwatoh",{"name":525,"orcid":526},"Guilen-Noel Nghokapin Tataw","https:\u002F\u002Forcid.org\u002F0009-0008-2878-5328",{"name":528,"orcid":529},"Mukete Beckline","https:\u002F\u002Forcid.org\u002F0000-0002-8344-4015",{"tldr":531,"method":532,"finding":533,"direction":97,"opportunity":534},"综合遥感、地方知识与焦点小组，评估喀麦隆Takamanda国家公园三种穿山甲面临的生态与人为威胁。","混合方法：数十年遥感土地利用数据、地方生态知识（LEK）与焦点小组、逻辑回归模型","2013-2023年密林减少10.34%，人类活动（窝棚、铁丝套）显著驱避穿山甲，贫困与消费需求驱动","可延伸研究：将遥感栖息地破碎化与社区生计干预结合，构建穿山甲保护的空间决策支持系统。","2026-09-10T23:30:27.991141Z"]