[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3364":3,"related-3364":119},{"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":44,"search_phrases":100,"slug":103,"view_count":22,"doi":104,"paper":105,"created_at":118},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。",null,"Shihab Journal of Humanities","2026-09-23T00:00:00Z","论文",10,false,55,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,18,14,6,9,1,"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。",[25],{"name":10,"url":6},[27,28,29,30,31],"土地退化","遥感监测","GIS","植被覆盖","荒漠化防治",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",[39],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"status":45,"locked":14,"version":46,"method":47,"evidence":48},"classified","2026-10-22.2","rules",{"candidates":49,"agricultural_evidence":51},[50,57,63,70,77,84,90,95],{"code":33,"score":13,"supported":51,"title":52,"abstract":53,"tags":56},true,[],[54,29,55],"地理信息","geographic information",[29],{"code":40,"score":17,"supported":51,"title":58,"abstract":59,"tags":62},[],[60,61],"遥感","remote sensing",[30,28],{"code":64,"score":20,"supported":51,"title":65,"abstract":66,"tags":69},"H2",[],[67,68],"土壤","soil",[],{"code":71,"score":20,"supported":51,"title":72,"abstract":73,"tags":76},"H7",[],[74,75],"干旱","drought",[],{"code":78,"score":79,"supported":51,"title":80,"abstract":81,"tags":83},"C",3,[],[82],"livestock",[],{"code":85,"score":79,"supported":51,"title":86,"abstract":87,"tags":89},"H3",[],[88],"水资源",[],{"code":91,"score":22,"supported":14,"title":92,"abstract":93,"tags":94},"H1",[],[],[27],{"code":96,"score":22,"supported":14,"title":97,"abstract":98,"tags":99},"H6",[],[],[31],[101,102],"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":104,"openalex_id":106,"authors":107,"venue":10,"cited_by_count":110,"oa_url":6,"card":111,"direction":115,"ingested_from":117},"W7214127171",[108],{"name":109,"orcid":9},"حسنية السني رجب البكوري",0,{"tldr":112,"method":113,"finding":114,"direction":115,"opportunity":116},"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。","农业遥感与作物表型","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。","openalex","2026-09-24T23:30:21.130938Z",{"total":20,"page":22,"page_size":20,"items":120},[121,194,261,327,397,453],{"id":122,"title":123,"url":124,"summary":125,"summary_zh":126,"content":9,"source_name":127,"source_url":124,"published_at":128,"category":12,"cover_url":9,"hotness":129,"is_selected":14,"score":130,"score_detail":131,"sources":135,"tags":139,"primary_topic":142,"secondary_topics":143,"classification":149,"search_phrases":174,"slug":177,"view_count":165,"doi":178,"paper":179,"created_at":193},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":132,"substance":18,"depth":133,"authority":132,"freshness":21,"relevant":22,"comment":134},12,15,"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。",[136,137],{"name":127,"url":124},{"name":127,"url":138},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22900048",[27,28,29,140,141],"土壤盐渍化","灌溉农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[144,145],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"code":64,"slug":68,"name":146,"path":147,"parent_code":148},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",{"status":45,"locked":14,"version":46,"method":47,"evidence":150},{"candidates":151,"agricultural_evidence":51},[152,156,160,164,170],{"code":33,"score":18,"supported":51,"title":153,"abstract":154,"tags":155},[29],[54,29,55],[29],{"code":40,"score":133,"supported":51,"title":157,"abstract":158,"tags":159},[61],[60,61],[28],{"code":64,"score":19,"supported":51,"title":161,"abstract":162,"tags":163},[68],[67,68],[],{"code":85,"score":165,"supported":51,"title":166,"abstract":167,"tags":169},4,[],[168],"灌溉",[141],{"code":91,"score":22,"supported":14,"title":171,"abstract":172,"tags":173},[],[],[27],[175,176],"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":178,"openalex_id":180,"authors":181,"venue":127,"cited_by_count":110,"oa_url":124,"card":188,"direction":115,"ingested_from":117},"W7214052773",[182,184,186],{"name":183,"orcid":9},"Mardiyev",{"name":185,"orcid":9},"Ergashaliyev",{"name":187,"orcid":9},"G'aniyev",{"tldr":189,"method":190,"finding":191,"direction":115,"opportunity":192},"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":195,"title":196,"url":197,"summary":198,"summary_zh":199,"content":9,"source_name":200,"source_url":201,"published_at":202,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":203,"score_detail":204,"sources":207,"tags":209,"primary_topic":213,"secondary_topics":214,"classification":216,"search_phrases":241,"slug":244,"view_count":245,"doi":246,"paper":247,"created_at":260},3187,"Spatio-temporal analysis of Land Use and Land Cover (LULC) change using high resolution satellite data: A case study of Nagaon, Assam","https:\u002F\u002Fdoi.org\u002F10.31018\u002Fjans.v18i3.7774","Geographic information systems (GIS) coupled with satellite remote sensing (RS) have had a significant impact on the assessment and mapping of land surface dynamics, specifically the analysis of land-use land-cover (LULC) change. This study uses high-resolution multispectral LISS-IV (Linear Imaging Self-Scanning Sensor-IV) imagery with a 5.8-meter resolution to evaluate LULC trends in the Nagaon district of Assam between 2015 and 2024. Land use classes in a variety of categories, including vegetation, water bodies, agricultural land, built-up areas, scrubland, sandbars, tea plantations, and trees outside forests (TOF), were identified applying the maximum likelihood classification algorithm. Overall, The accuracy was 85.7% in 2015 and 90.3% in 2024, with respective Kappa Coefficients of 0.836 and 0.889, respectively. The results showed that between 2015 and 2024, the areas of tea plantations, natural vegetation, scrubland, and agricultural land fell by 0.26%, 6.14%, 0.26%, and 9.83%, respectively. Conversely, the waterbody, sandbar, built-up, and TOF have all increased by 0.29%, 0.91%, 0.82%, and 14.46%, respectively. This noticeable shift from conventional agricultural and natural vegetation landscapes toward tree-based systems and urban expansion on the study area, emphasize on matters concerning climate stress, declining soil fertility, economic benefits, policy support, and the need for resilient livelihoods.","地理信息系统（GIS）与卫星遥感（RS）相结合，对地表动态的评估与制图产生了显著影响，尤其是土地利用与土地覆盖（LULC）变化分析。本研究利用分辨率为5.8米的高分辨率多光谱LISS-IV（线性成像自扫描传感器-IV）影像，评估了阿萨姆邦纳冈县2015年至2024年间的LULC变化趋势。采用最大似然分类算法，识别了植被、水体、农地、建设用地、灌丛地、沙洲、茶园及林外树木（TOF）等多种土地利用类别。总体而言，2015年分类精度为85.7%，2024年为90.3%，Kappa系数分别为0.836和0.889。结果表明，2015年至2024年间，茶园、自然植被、灌丛地和农地面积分别减少了0.26%、6.14%、0.26%和9.83%。相反，水体、沙洲、建设用地和TOF分别增加了0.29%、0.91%、0.82%和14.46%。研究区从传统农业和自然植被景观向林基系统和城市扩张的显著转变，凸显了气候胁迫、土壤肥力下降、经济效益、政策支持以及韧性生计需求等相关问题。","Journal of Applied and Natural Science","https:\u002F\u002Fjournals.ansfoundation.org\u002Findex.php\u002Fjans\u002Farticle\u002Fview\u002F7774","2026-09-20T00:00:00Z",62,{"impact":17,"substance":18,"depth":133,"authority":205,"freshness":17,"relevant":22,"comment":206},13,"基于高分辨率遥感的区域土地利用变化实证研究，方法规范、数据翔实，对农业遥感监测有参考价值，但属地方性案例，公共影响有限。",[208],{"name":200,"url":201},[210,28,211,212,30],"农业遥感","土地利用","印度农业",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},[215],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":217},{"candidates":218,"agricultural_evidence":51},[219,224,228,232,236],{"code":40,"score":132,"supported":51,"title":220,"abstract":221,"tags":223},[],[60,61,222],"multispectral",[210,30,28],{"code":33,"score":21,"supported":51,"title":225,"abstract":226,"tags":227},[],[54,29,55],[],{"code":64,"score":20,"supported":51,"title":229,"abstract":230,"tags":231},[],[67,68],[],{"code":96,"score":22,"supported":14,"title":233,"abstract":234,"tags":235},[],[],[211],{"code":237,"score":22,"supported":14,"title":238,"abstract":239,"tags":240},"J3",[],[],[212],[242,243],"Nagaon Assam LULC 遥感","LISS-IV 土地利用变化","NagaonAssamLULC遥感-3187",5,"10.31018\u002Fjans.v18i3.7774",{"doi":246,"openalex_id":248,"authors":249,"venue":200,"cited_by_count":110,"oa_url":201,"card":255,"direction":115,"ingested_from":117},"W7213942371",[250,252],{"name":251,"orcid":9},"J. C. Das",{"name":253,"orcid":254},"Prodyut Bhattacharya","https:\u002F\u002Forcid.org\u002F0000-0002-4294-5585",{"tldr":256,"method":257,"finding":258,"direction":115,"opportunity":259},"利用高分辨率卫星影像分析印度阿萨姆邦纳冈地区2015-2024年土地利用\u002F覆盖变化。","LISS-IV 5.8米多光谱影像，最大似然分类，精度与Kappa系数评估。","农业用地和自然植被分别减少9.83%和6.14%，而林外树木和建设用地分别增加14.46%和0.82","可结合时序高分辨率影像与农户调查，探究林外树木扩张对农业韧性和碳汇的驱动机制。","2026-09-22T23:30:25.539323Z",{"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":13,"is_selected":14,"score":269,"score_detail":270,"sources":272,"tags":274,"primary_topic":277,"secondary_topics":278,"classification":280,"search_phrases":302,"slug":305,"view_count":298,"doi":306,"paper":307,"created_at":326},2943,"SPATIO-TEMPORAL DYNAMICS OF LAND USE AND LAND COVER IN A GRANITE QUARRYING AREA IN MANÉAH, GUINEA: A REMOTE SENSING AND GIS-BASED ANALYSIS FROM 1980 TO 2024","https:\u002F\u002Fdoi.org\u002F10.30574\u002Fgscarr.2026.28.3.0222","Quarrying is a major driver of transformation in peri-urban areas, particularly in spaces experiencing both rapid urbanization and increasing pressure on natural resources. This study analyzes the spatio-temporal dynamics of land cover in the urban commune of Manéah, Guinea, between 1980, 2020, and 2024, in order to characterize the territorial changes associated with the development of extractive activities and urban expansion. The methodological approach relies on the use of multi-temporal satellite imagery, its processing in a GIS environment, supervised classification of the main land cover classes, diachronic analysis of changes, construction of a transition matrix, and evaluation of the quality of the classifications using the Kappa index. The results highlight a profound transformation of the landscape. Between 1980 and 2024, the proportion of built-up areas increased from 7.22% to 32.67%, a rise of 25.45 percentage points, while quarries and construction sites, absent in 1980, represented 2.05% of the territory in 2024, after reaching 7.50% in 2020. Conversely, cultivated land and fallow land increased overall by 18.58 percentage points. In contrast, natural formations experienced a sharp decline: shrub savannas decreased from 40.50% to 1.73%, bodies of water from 31.46% to 11.30%, and mangroves from 8.85% to 0.84%. The Kappa values of 0.76, 0.79, and 0.82 indicate a satisfactory agreement between the classifications. These changes reflect the increasing human impact on the territory, resulting from the combined effects of urbanization, agriculture, and extractive activities. The change matrix also confirms a structural recomposition of the territory, with built-up areas increasing from 963.406 ha to 4,357.55 ha, while shrub savannas decreased from 5,401.819 ha to only 230.389 ha over the entire study period. The study thus highlights the need to further integrate remote sensing data and GIS tools into land-use planning, environmental monitoring, and the spatial management of quarries in Manéah.","采石活动是城郊地区转型的主要驱动力，尤其是在同时经历快速城市化和自然资源压力加剧的区域。本研究分析了几内亚马内阿（Manéah）城市公社在1980年、2020年和2024年的土地覆盖时空动态，以刻画与采掘活动发展和城市扩张相关的领土变化。研究方法依赖于多时相卫星影像的使用、在GIS环境中的处理、主要土地覆盖类别的监督分类、变化的历史对比分析、转移矩阵的构建，以及利用Kappa指数评估分类质量。结果揭示了景观的深刻转变。1980年至2024年间，建成区比例从7.22%增至32.67%，上升了25.45个百分点；而采石场和建筑工地1980年尚不存在，2020年达到7.50%，2024年占领土的2.05%。相反，耕地和休耕地总体增加了18.58个百分点。相比之下，自然 formations 急剧减少：灌木草原从40.50%降至1.73%，水体从31.46%降至11.30%，红树林从8.85%降至0.84%。Kappa值分别为0.76、0.79和0.82，表明分类之间具有令人满意的一致性。这些变化反映了人类对领土日益加剧的影响，这是城市化、农业和采掘活动共同作用的结果。变化矩阵也证实了领土的结构性重组，建成区从963.406公顷增至4，357.55公顷，而灌木草原在整个研究期内从5，401.819公顷降至仅230.389公顷。因此，本研究强调了进一步将遥感数据和GIS工具纳入马内阿的土地利用规划、环境监测和采石场空间管理的必要性。","GSC Advanced Research and Reviews","2026-09-18T00:00:00Z",60,{"impact":17,"substance":18,"depth":133,"authority":13,"freshness":21,"relevant":22,"comment":271},"基于多时相遥感与GIS的矿区土地利用变化研究，方法规范、数据翔实，但地域性强、与国内农业信息化关联有限，可作为遥感应用案例参考。",[273],{"name":267,"url":264},[275,28,211,29,276],"城镇化","矿区生态",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},[279],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":281},{"candidates":282,"agricultural_evidence":51},[283,287,291,297],{"code":40,"score":133,"supported":51,"title":284,"abstract":285,"tags":286},[61],[60,61],[28],{"code":33,"score":132,"supported":51,"title":288,"abstract":289,"tags":290},[29],[29],[29],{"code":292,"score":79,"supported":51,"title":293,"abstract":294,"tags":296},"I7",[],[295],"研究方法",[],{"code":96,"score":298,"supported":14,"title":299,"abstract":300,"tags":301},2,[],[],[211,276],[303,304],"Manéah 几内亚 土地利用","遥感 GIS 采石场 土地覆盖","Manéah几内亚土地利用-2943","10.30574\u002Fgscarr.2026.28.3.0222",{"doi":306,"openalex_id":308,"authors":309,"venue":267,"cited_by_count":110,"oa_url":264,"card":321,"direction":115,"ingested_from":117},"W7213550535",[310,312,314,317,319],{"name":311,"orcid":9},"Sogbè KEITA",{"name":313,"orcid":9},"Mamady Minata CONDÉ",{"name":315,"orcid":316},"Ibrahima Thiam","https:\u002F\u002Forcid.org\u002F0000-0001-8553-1043",{"name":318,"orcid":9},"Lucien SOLIE",{"name":320,"orcid":9},"Alpha Issaga Pallé Diallo",{"tldr":322,"method":323,"finding":324,"direction":115,"opportunity":325},"基于遥感与GIS分析几内亚Manéah采石区1980-2024年土地利用与覆盖的时空变化。","多时相卫星影像、GIS监督分类、变化矩阵与Kappa精度评价。","建设用地由7.22%升至32.67%，灌丛草原由40.50%降至1.73%，采石场2024年占2.0","可延伸至采石与城市化对周边农地、红树林的耦合影响及生态修复监测研究。","2026-09-19T23:30:32.836654Z",{"id":328,"title":329,"url":330,"summary":331,"summary_zh":332,"content":9,"source_name":333,"source_url":330,"published_at":334,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":335,"score_detail":336,"sources":340,"tags":342,"primary_topic":345,"secondary_topics":346,"classification":348,"search_phrases":379,"slug":382,"view_count":165,"doi":383,"paper":384,"created_at":396},2319,"Assessing Forest Resource Depletion and Rural Livelihood Sustainability in Ovia Southwest, Nigeria using Remote Sensing, GIS, and Qualitative Socio-Economic Data","https:\u002F\u002Fdoi.org\u002F10.70882\u002Fjosrar.2026.v3i5.278","Forest resources are fundamental to rural livelihoods in sub-Saharan Africa, yet rapid land-use change threatens their sustainability. This study assessed forest cover change, available forest resources, socio-economic drivers of household dependence, and community perceptions of forest contributions to socio-economic development in Ovia Southwest LGA., Edo State, Nigeria. A mixed-methods approach was used to integrate remote sensing and GIS analysis of Landsat imagery (1987–2024), a household survey (n = 390), factor analysis, multiple regression, and chi-square tests. Land use land cover classification revealed that natural environment (forest cover) declined from 76.95% (202,031.28ha) in 1987 to 42.07% (110,449.55ha) in 2024, representing a 50% loss. Disturbed forest increased from 13.48% to 27.80%, while farmland expanded from 6.90% to 26.08%. Factor analysis identified four dominant forest resource categories: timber\u002Fcharcoal\u002Ffibres (35.4% variance), medicinal plants\u002Froots\u002Fforest soil (14.8%), fruits\u002Fanimal fodder (9.9%), and meat\u002Fhoney (7.0%). Multiple regression showed socio-economic factors significantly influenced household forest dependence (R² = 0.279, F = 29.779, p \u003C 0.001), with education, age, and occupation as the strongest predictors. Chi-square analysis confirmed that communities perceive a significant contribution of forest resources to socio-economic development (χ² = 221.718, df = 32, p \u003C 0.001). The study concludes that agricultural expansion and timber extraction are primary drivers of forest degradation, and livelihood diversification interventions are urgently needed to reduce forest dependence while sustaining rural well-being. And recommended implementation of community-participatory forest conservation programmes; investment in rural education\u002Fexpanded vocational training to provide alternative income sources; and regular monitoring using remote sensing should continue to track forest cover trends and inform adaptive management.","森林资源是撒哈拉以南非洲农村生计的基础，但快速的土地利用变化威胁着其可持续性。本研究评估了尼日利亚埃多州奥维亚西南地方政府区的森林覆盖变化、可利用森林资源、家庭依赖的社会经济驱动因素以及社区对森林促进社会经济发展的认知。研究采用混合方法，整合了1987—2024年Landsat影像的遥感与GIS分析、入户调查（n = 390）、因子分析、多元回归和卡方检验。土地利用\u002F土地覆盖分类显示，自然环境（森林覆盖）从1987年的76.95%（202,031.28公顷）下降至2024年的42.07%（110,449.55公顷），减少了50%。受干扰森林从13.48%增至27.80%，农田从6.90%扩展至26.08%。因子分析识别出四类主要森林资源：木材\u002F木炭\u002F纤维（方差贡献率35.4%）、药用植物\u002F根茎\u002F森林土壤（14.8%）、水果\u002F动物饲料（9.9%）以及肉类\u002F蜂蜜（7.0%）。多元回归表明，社会经济因素显著影响家庭对森林的依赖（R² = 0.279，F = 29.779，p \u003C 0.001），其中教育程度、年龄和职业是最强的预测因子。卡方分析证实，社区认为森林资源对社会经济发展具有显著贡献（χ² = 221.718，df = 32，p \u003C 0.001）。研究结论认为，农业扩张和木材采伐是森林退化的主要驱动因素，亟需通过生计多样化干预措施来减少对森林的依赖，同时维持农村福祉。研究建议：实施社区参与式森林保护项目；投资农村教育\u002F扩大职业培训以提供替代收入来源；持续利用遥感进行定期监测，以追踪森林覆盖趋势并为适应性管理提供依据。","Journal of Science Research and Reviews","2026-09-12T00:00:00Z",65,{"impact":17,"substance":337,"depth":338,"authority":132,"freshness":21,"relevant":22,"comment":339},20,16,"基于Landsat长时序遥感与入户调查的尼日利亚森林退化与生计依赖研究，方法扎实、数据翔实，但属区域案例，对国内三农信息化仅有方法借鉴价值。",[341],{"name":333,"url":330},[28,211,29,343,344],"森林资源","农村生计",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},[347],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":349},{"candidates":350,"agricultural_evidence":51},[351,355,359,363,369,375],{"code":40,"score":133,"supported":51,"title":352,"abstract":353,"tags":354},[61],[60,61],[28],{"code":33,"score":132,"supported":51,"title":356,"abstract":357,"tags":358},[29],[29],[29],{"code":64,"score":20,"supported":51,"title":360,"abstract":361,"tags":362},[],[67,68],[],{"code":364,"score":79,"supported":51,"title":365,"abstract":366,"tags":368},"B6",[],[367],"药用植物",[],{"code":370,"score":79,"supported":51,"title":371,"abstract":372,"tags":374},"C4",[],[373],"饲料",[],{"code":96,"score":22,"supported":14,"title":376,"abstract":377,"tags":378},[],[],[211],[380,381],"农村生计 土地利用 森林资源 遥感监测","农村生计 土地利用","农村生计土地利用森林资源遥感监测-2319","10.70882\u002Fjosrar.2026.v3i5.278",{"doi":383,"openalex_id":385,"authors":386,"venue":333,"cited_by_count":110,"oa_url":330,"card":391,"direction":115,"ingested_from":117},"W7212392638",[387,389],{"name":388,"orcid":9},"David E. Eighemhenrio",{"name":390,"orcid":9},"Akan A. Tom",{"tldr":392,"method":393,"finding":394,"direction":115,"opportunity":395},"结合遥感与入户调查，评估尼日利亚Ovia西南部森林资源枯竭及农户生计依赖。","Landsat影像(1987–2024)、GIS分类、390户问卷、因子分析与回","森林覆盖减少50%，农业扩张与伐木为主因，教育、年龄和职业显著影响生计依赖。","可延伸至多时相遥感与农户生计耦合建模，识别森林退化热点并评估替代生计干预效果。","2026-09-13T23:30:22.724040Z",{"id":398,"title":399,"url":400,"summary":401,"summary_zh":402,"content":9,"source_name":403,"source_url":400,"published_at":404,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":110,"score_detail":405,"sources":407,"tags":409,"primary_topic":413,"secondary_topics":414,"classification":420,"search_phrases":435,"slug":438,"view_count":110,"doi":439,"paper":440,"created_at":452},5326,"Flood Hazard and Vulnerability Assessment of Chitrakoot District, Uttar Pradesh: An Integrated Geographical, GIS and Remote Sensing Approach","https:\u002F\u002Fdoi.org\u002F10.36948\u002Fijfmr.2026.v08i05.89708","Flood is one of the most important hydro-meteorological hazards affecting human settlements, agriculture, infrastructure and regional economies. Chitrakoot district of Uttar Pradesh presents a distinctive case of hydro-climatic vulnerability because it belongs to the drought-prone Bundelkhand region but simultaneously experiences recurrent riverine and flash-flood conditions during intense monsoon rainfall. The present study assesses the spatial characteristics and determinants of flood hazard and vulnerability in Chitrakoot district using an integrated geographical, GIS and remote sensing approach. The analysis incorporates the Digital Elevation Model (DEM), drainage network, physiography, river proximity, historical flood information, satellite-based flood observations and socio-economic exposure. The district's DEM indicates a marked elevation gradient, approximately from 66 m to 451 m, with relatively higher terrain in the southern part and lower terrain towards the northern Yamuna valley. This topographic configuration facilitates rapid surface runoff from elevated southern terrain towards comparatively low-lying riverine areas. The drainage system is dominated by the Yamuna and Mandakini\u002FPaisuni systems along with Baghain, Gunta, Bardaha and smaller tributaries. The Uttar Pradesh Flood Hazard Atlas identifies 5,114 ha of flood-hazard area in Chitrakoot for 1998–2020, of which 4,129 ha (81%) falls in the very-low hazard category and 985 ha (19%) in the low-hazard category. However, the historical classification does not fully represent the potential consequences of extreme rainfall events. The August 2026 flood provides compelling evidence: the Mandakini at Chitrakoot reached a reported new high flood level of 145.60 m on 29 August 2026, approximately 2.95 m above the previous reported high level, while the water level rose by about 7.5 m within six hours. The study concludes that flood risk in Chitrakoot is spatially concentrated around river corridors, low-elevation areas, floodplains, agricultural land, settlements and tourism infrastructure. A shift from conventional relief-oriented flood management towards integrated floodplain regulation, watershed management, GIS-based risk zonation, real-time monitoring and community-based preparedness is therefore essential.","洪水是影响人类住区、农业、基础设施和区域经济的最重要的水文气象灾害之一。北方邦吉德古德（Chitrakoot）县在水文气候脆弱性方面呈现出独特案例，因为它属于易受干旱影响的本德尔坎德（Bundelkhand）地区，但同时在强季风降雨期间反复遭遇河流洪水和山洪状况。本研究采用地理学、地理信息系统（GIS）和遥感相结合的综合方法，评估吉德古德县洪水灾害与脆弱性的空间特征及其决定因素。分析纳入了数字高程模型（DEM）、河网、地貌、距河流远近、历史洪水信息、基于卫星的洪水观测以及社会经济暴露度。该县的DEM显示出明显的高程梯度，大约从66米到451米，南部地形相对较高，向北部的亚穆纳（Yamuna）河谷地势降低。这种地形格局促使地表径流从较高的南部地形快速流向相对低洼的河流区域。排水系统以亚穆纳河和曼达基尼\u002F派苏尼（Mandakini\u002FPaisuni）水系为主，另有巴盖恩（Baghain）、贡塔（Gunta）、巴尔达哈（Bardaha）及较小支流。北方邦洪水灾害图集确认，1998—2020年吉德古德县洪水灾害面积为5，114公顷，其中4，129公顷（81%）属于极低灾害类别，985公顷（19%）属于低灾害类别。然而，历史分类并不能充分反映极端降雨事件的潜在后果。2026年8月的洪水提供了有力证据：据报道，2026年8月29日吉德古德的曼达基尼河达到145.60米的新高洪水位，比此前报告的高水位高出约2.95米，而水位在六小时内上升了约7.5米。研究得出结论，吉德古德的洪水风险在空间上集中于河流廊道、低海拔地区、洪泛平原、农业用地、住区和旅游基础设施周围。因此，必须从传统的以救济为导向的洪水管理转向洪泛平原综合调控、流域管理、基于GIS的风险区划、实时监测和社区为基础的备灾。","International Journal For Multidisciplinary Research","2026-10-17T00:00:00Z",{"impact":110,"substance":110,"depth":110,"authority":110,"freshness":110,"relevant":110,"comment":406},"该研究聚焦印度北方邦的洪水灾害评估，虽涉及GIS与遥感方法，但与三农、农业信息化、智慧农业等主题无直接关联，不建议进入每日精选。",[408],{"name":403,"url":400},[410,28,411,412],"防灾减灾","洪水风险评估","GIS应用",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},[415,416],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"code":71,"slug":417,"name":418,"path":419,"parent_code":148},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"status":45,"locked":14,"version":46,"method":47,"evidence":421},{"candidates":422,"agricultural_evidence":51},[423,427,431],{"code":40,"score":133,"supported":51,"title":424,"abstract":425,"tags":426},[61],[60,61],[28],{"code":33,"score":19,"supported":51,"title":428,"abstract":429,"tags":430},[29],[54,29],[],{"code":71,"score":17,"supported":51,"title":432,"abstract":433,"tags":434},[],[74,75],[411,410],[436,437],"Chitrakoot 洪水风险 GIS","Yamuna 洪水脆弱性 遥感","Chitrakoot洪水风险GIS-5326","10.36948\u002Fijfmr.2026.v08i05.89708",{"doi":439,"openalex_id":441,"authors":442,"venue":403,"cited_by_count":110,"oa_url":446,"card":447,"direction":115,"ingested_from":117},"W7222885988",[443],{"name":444,"orcid":445},"Birendra Yadav","https:\u002F\u002Forcid.org\u002F0009-0007-0864-474X","https:\u002F\u002Fwww.ijfmr.com\u002Fpapers\u002F2026\u002F5\u002F89708.pdf",{"tldr":448,"method":449,"finding":450,"direction":115,"opportunity":451},"用GIS与遥感综合评估Chitrakoot区洪水灾害与脆弱性空间分布。","DEM、河网、历史洪水与卫星观测及社会经济数据叠加分析。","洪水风险集中于河谷低地、农田与居民点，历史分级低估极端降雨风险。","可结合时序遥感与水文模型，构建极端降雨情景下的农田洪涝风险动态制图与预警。","2026-10-19T23:30:24.356743Z",{"id":454,"title":455,"url":456,"summary":457,"summary_zh":458,"content":9,"source_name":459,"source_url":456,"published_at":460,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":269,"score_detail":461,"sources":463,"tags":465,"primary_topic":469,"secondary_topics":470,"classification":472,"search_phrases":501,"slug":504,"view_count":110,"doi":505,"paper":506,"created_at":524},5321,"GIS and remote sensing based multicriteria analysis for identifying potential agricultural land: A case study on Savar Upazila, Bangladesh","https:\u002F\u002Fdoi.org\u002F10.3329\u002Fbrds.v26i1.94265","Despite of gradually decreasing its contribution to gross domestic product (GDP), agriculture, however, is the backbone of the Bangladeshi economy. Farming is the primary mean of rural livelihoods in Bangladesh but agricultural land is slowly declining day by day. Although, at present, Bangladesh is self-sufficient in terms of producing food, especially rice and some other major agricultural products, it is predicted that, in near future, the country is going to face immense challenges due to climate related threats. The research aims to identify the potential lands for suitable farming in Savar Upazila (sub-district) under Dhaka district applying a geographic information system (GIS) and remote sensing (RS) based multicriteria analysis. Relevant biophysical characteristics of soil, terrain, and landuse and land cover (LULC) were considered. Soil and evelvation data was collected from Soil Resource Development Institute (SRDI)and Shuttle Radar Topography Mission (SRTM), respectively, whereas satellite images were collected from Landsat-8. The maximum likelihood supervised classification technique was used for LULC classification, and the multicriteria evaluation (MCE) and analytical hierarchy process (AHP) approach was employed to identify suitable areas for farming. The research finds the LULC classes are agricultural land, built-up area, fallow land, vegetation cover, waterbodies, and wetland are 12.42%, 31.01%, 25.69%, 25.98%, 4.81%, and 0.09%, respectively. This research also finds that agricultural land suitability was classified as highly suitable, moderately suitable, marginally suitable, and not suitable are 24.28%, 29.53%, 24.66%, and 21.53%, respectively. In contrast, the current agricultural land usage accounts for just 12.42% of the total land area in this research area. The Kappa accuracy has been measured at a value of 0.88 and an overall accuracy value of 0.90 which indicates that the LULC classification is done almost perfectly. This study offered information at the local level that farmers may utilize to decide on cropping patterns and appropriateness. Bangladesh Rural Development Studies, 26(1), 2023 (13-26)","尽管农业在国内生产总值（GDP）中的贡献逐渐下降，但它仍是孟加拉国经济的支柱。农耕是孟加拉国农村生计的主要方式，但农业用地正日益减少。虽然目前孟加拉国在粮食生产方面，尤其是稻米和其他一些主要农产品方面已实现自给自足，但据预测，在不久的将来，该国将因气候相关威胁而面临巨大挑战。本研究旨在运用地理信息系统（GIS）和遥感（RS）基础上的多准则分析，确定达卡县萨瓦尔乡（分区）适宜耕作的土地潜力。研究考虑了土壤、地形以及土地利用与土地覆盖（LULC）等相关生物物理特征。土壤数据来自土壤资源开发研究所（SRDI），高程数据来自航天飞机雷达地形测绘任务（SRTM），卫星影像则来自Landsat-8。土地利用与土地覆盖分类采用最大似然监督分类技术，适宜耕作区的识别则运用多准则评价（MCE）和层次分析法（AHP）。研究发现，土地利用与土地覆盖类别中，农业用地、建成区、休耕地、植被覆盖、水体及湿地分别占12.42%、31.01%、25.69%、25.98%、4.81%和0.09%。研究还发现，农业用地适宜性分为高度适宜、中度适宜、勉强适宜和不适宜，分别占24.28%、29.53%、24.66%和21.53%。相比之下，当前农业用地仅占本研究区土地总面积的12.42%。Kappa精度值为0.88，总体精度值为0.90，表明土地利用与土地覆盖分类近乎完美。本研究提供了地方层面的信息，可供农民在决定种植模式和适宜性时参考。《孟加拉国农村发展研究》，第26卷第1期，2023年（第13-26页）","OpenAlex","2026-10-18T00:00:00Z",{"impact":17,"substance":18,"depth":133,"authority":13,"freshness":21,"relevant":22,"comment":462},"方法规范、数据可靠的区域农用地适宜性案例研究，但属孟加拉地方尺度，对国内三农信息化仅有方法借鉴价值，不宜进入每日精选。",[464],{"name":459,"url":456},[60,29,466,467,468],"农用地适宜性","土地覆被","孟加拉农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[471],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":473},{"candidates":474,"agricultural_evidence":51},[475,479,483,490,497],{"code":33,"score":18,"supported":51,"title":476,"abstract":477,"tags":478},[29],[54,29,55],[29],{"code":40,"score":133,"supported":51,"title":480,"abstract":481,"tags":482},[61],[60,61],[60],{"code":484,"score":20,"supported":51,"title":485,"abstract":486,"tags":489},"A1",[],[487,488],"稻米","rice",[],{"code":491,"score":20,"supported":51,"title":492,"abstract":493,"tags":496},"G",[],[494,495],"农村发展","rural development",[],{"code":64,"score":20,"supported":51,"title":498,"abstract":499,"tags":500},[],[67,68],[],[502,503],"Savar Upazila 农用地适宜性","Landsat-8 土地覆被分类","SavarUpazila农用地适宜性-5321","10.3329\u002Fbrds.v26i1.94265",{"doi":505,"openalex_id":507,"authors":508,"venue":518,"cited_by_count":110,"oa_url":456,"card":519,"direction":115,"ingested_from":117},"W7222895468",[509,511,513,515],{"name":510,"orcid":9},"Raju Ahmed",{"name":512,"orcid":9},"Shaikh Mehdee Mohammad",{"name":514,"orcid":9},"Ummul Momanin Coalee",{"name":516,"orcid":517},"Khandakar Hasan Mahmud","https:\u002F\u002Forcid.org\u002F0000-0003-1222-0791","The Bangladesh Rural Development Studies",{"tldr":520,"method":521,"finding":522,"direction":115,"opportunity":523},"用GIS与遥感多准则分析评估孟加拉Savar地区潜在农业用地适宜性。","Landsat-8监督分类提取土地利用，结合土壤、地形数据用AHP与MCE做适宜","仅12.42%为农地，高、中、边缘、不适宜分别占24.28%、29.53%、24.66%、21.53","可引入时序遥感与气候情景，动态评估适宜性变化并耦合作物种植决策支持。","2026-10-19T23:30:22.906704Z"]