[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2668":3,"related-2668":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":9,"secondary_topics":33,"classification":34,"search_phrases":65,"slug":68,"view_count":69,"doi":70,"paper":71,"created_at":88},2668,"Assessment of the Current Sanitary and Technical Condition of Irrigation Reservoirs in Azerbaijan","https:\u002F\u002Fdoi.org\u002F10.33619\u002F2414-2948\u002F130\u002F12","The article presents a comprehensive assessment of the current sanitary and technical condition of irrigation reservoirs in Azerbaijan, analyzing the operational characteristics of hydraulic structures, the level of technical deterioration, and the primary risk factors affecting their safe operation. The study aims to determine the condition of reservoirs vital to irrigation systems, identify factors influencing operational reliability, and evaluate the applicability of modern monitoring and management approaches. The research utilizes comparative analysis, a systems approach, statistical assessment methods, hydro-technical observation data, regulatory documentation, and geographic information systems (GIS) combined with remote sensing. Particular attention is given to dam stability, the structural integrity of hydraulic facilities, sediment accumulation, seepage, deformation processes, and key sanitary water quality indicators. Results indicate that prolonged operation, structural wear, sedimentation, and insufficient monitoring contribute to declining safety and efficiency. Conversely, the implementation of digital monitoring, GIS-based analytical tools, and automated systems is essential for improving reliability and sustainability. The scientific novelty lies in the integrated assessment of these reservoirs using contemporary technological frameworks.","本文对阿塞拜疆灌溉水库当前的卫生与技术状况进行了综合评估，分析了水工建筑物的运行特征、技术老化程度以及影响其安全运行的主要风险因素。研究旨在确定对灌溉系统至关重要的水库状况，识别影响运行可靠性的因素，并评估现代监测与管理方法的适用性。研究采用比较分析、系统方法、统计评估方法、水工观测数据、规范性文件以及地理信息系统（GIS）与遥感相结合的手段。研究特别关注大坝稳定性、水工设施的结构完整性、泥沙淤积、渗漏、变形过程及关键卫生水质指标。结果表明，长期运行、结构磨损、淤积及监测不足导致安全性和效率下降。相反，实施数字化监测、基于GIS的分析工具及自动化系统对于提高可靠性和可持续性至关重要。该研究的科学新颖性在于运用当代技术框架对这些水库进行综合评估。",null,"Bulletin of Science and Practice","2026-09-15T00:00:00Z","论文",10,false,63,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,18,16,12,9,1,"论文以GIS与遥感综合评估阿塞拜疆灌溉水库卫生技术状况，方法有参考价值，但属他国区域研究，对国内三农实践影响有限，可作技术借鉴而非每日精选头条。",[25],{"name":10,"url":6},[27,28,29,30,31,32],"农业基础设施","遥感监测","GIS","灌溉水库","水利工程","数字监测",[],{"status":35,"locked":14,"version":36,"method":37,"evidence":38},"needs_review","2026-10-22.2","rules",{"candidates":39,"agricultural_evidence":14,"reason":64},[40,49,56],{"code":41,"score":42,"supported":43,"title":44,"abstract":46,"tags":48},"H3",14,true,[45],"irrigation",[47,45],"灌溉",[],{"code":50,"score":13,"supported":43,"title":51,"abstract":52,"tags":55},"I4",[],[53,29,54],"地理信息","geographic information",[29],{"code":57,"score":58,"supported":43,"title":59,"abstract":60,"tags":63},"I3",7,[],[61,62],"遥感","remote sensing",[28],"农业相关性需要复核",[66,67],"农业基础设施 数字监测 水利工程 灌溉水库","农业基础设施 数字监测","农业基础设施数字监测水利工程灌溉水库-2668",2,"10.33619\u002F2414-2948\u002F130\u002F12",{"doi":70,"openalex_id":72,"authors":73,"venue":10,"cited_by_count":80,"oa_url":6,"card":81,"direction":85,"ingested_from":87},"W7213287517",[74,76,78],{"name":75,"orcid":9},"Sh. Guliyev",{"name":77,"orcid":9},"E. Ganbarov",{"name":79,"orcid":9},"O. Imanli",0,{"tldr":82,"method":83,"finding":84,"direction":85,"opportunity":86},"综合评估阿塞拜疆灌溉水库的卫生与技术状况，分析老化风险并提出数字化监测建议。","比较分析、系统方法、统计评估、水文观测数据、GIS与遥感。","长期运行、结构磨损、淤积和监测不足导致水库安全与效率下降，数字化监测是关键。","农业遥感与作物表型","可延伸研究：将GIS遥感与物联网传感器结合，构建灌溉水库实时安全预警与水质监测系统。","openalex","2026-09-16T23:30:30.293789Z",{"total":90,"page":22,"page_size":90,"items":91},6,[92,176,244,327,384,437],{"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":9,"secondary_topics":112,"classification":113,"search_phrases":142,"slug":145,"view_count":69,"doi":146,"paper":147,"created_at":175},4902,"Delineation of groundwater potential zones in Chalan Beel (inland wetland) for sustainable ecosystem in Lower Atrai River Basin NW Bangladesh","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44288-026-00768-z","Groundwater plays a critical role in sustaining the ecological integrity and water security of the Chalan Beel, the largest inland wetland (5097 km2) in the Lower Atrai River Basin of northwestern Bangladesh. This study delineates groundwater potential zones (GWPZs) using an integrated Geographic Information System (GIS), Remote Sensing (RS), and Analytical Hierarchy Process (AHP) approach. Seventeen hydrogeological, topographic, climatic, and environmental thematic layers, including rainfall, soil type, soil permeability, groundwater level, aquifer depth, land use\u002Fland cover, geomorphology, drainage density, NDVI, and NDWI, were analyzed to evaluate groundwater recharge and storage potential. The AHP results indicate that rainfall (20%), soil type (16%), and soil permeability (13%) are the most influential factors controlling groundwater occurrence and recharge. The generated GWPZ map classified the study area into three categories: very high (65 km2, 1%), medium (3933 km2, 77%), and low (1099 km2, 22%) potential zones. Temporal NDVI analysis (1990–2024) revealed substantial changes in vegetation and moisture conditions, with the moderate NDVI class increasing from 45 to 67%, indicating improved vegetation cover and its strong association with groundwater recharge potential. The identified high- and moderate-potential zones provide important information for groundwater development, irrigation planning, and ecosystem conservation. The study offers a scientific basis for sustainable groundwater-dependent ecosystem (SGDE) management and supports informed decision-making for water-resource planning under increasing climatic variability and anthropogenic pressures in northwestern Bangladesh.","地下水在维持孟加拉国西北部阿特拉伊河下游流域最大内陆湿地——查兰比尔湿地（5097平方公里）的生态完整性和水安全方面发挥着关键作用。本研究采用地理信息系统（GIS）、遥感（RS）和层次分析法（AHP）相结合的综合方法，圈定地下水潜力区（GWPZs）。通过分析十七个水文地质、地形、气候和环境专题图层，包括降雨量、土壤类型、土壤渗透性、地下水位、含水层深度、土地利用\u002F土地覆盖、地貌、河网密度、归一化植被指数（NDVI）和归一化水体指数（NDWI），评估地下水补给和储存潜力。层次分析法结果表明，降雨量（20%）、土壤类型（16%）和土壤渗透性（13%）是控制地下水赋存和补给的最主要因素。生成的地下水潜力区图将研究区划分为三类：极高潜力区（65平方公里，1%）、中等潜力区（3933平方公里，77%）和低潜力区（1099平方公里，22%）。时序NDVI分析（1990—2024年）揭示了植被和湿度条件的显著变化，中等NDVI等级从45%增至67%，表明植被覆盖改善及其与地下水补给潜力的密切关联。所识别的高潜力和中等潜力区为地下水开发、灌溉规划和生态系统保护提供了重要信息。本研究为可持续地下水依赖型生态系统（SGDE）管理提供了科学依据，并为孟加拉国西北部在气候变率加剧和人为压力增大背景下的水资源规划提供了知情决策支持。","Discover Geoscience","2026-10-12T00:00:00Z",67,{"impact":17,"substance":102,"depth":103,"authority":104,"freshness":17,"relevant":22,"comment":105},21,17,13,"该研究运用GIS、遥感和AHP方法评估孟加拉国湿地地下水潜力，方法新颖、数据详实，对农业水资源管理和生态保护有参考价值，但地域性较强，影响范围有限。",[107],{"name":98,"url":95},[109,28,29,110,111],"水资源管理","地下水潜力","湿地生态",[],{"status":35,"locked":14,"version":36,"method":37,"evidence":114},{"candidates":115,"agricultural_evidence":14,"reason":64},[116,122,126,130,137],{"code":41,"score":117,"supported":43,"title":118,"abstract":119,"tags":121},11,[],[47,120,45],"水资源",[110,109],{"code":50,"score":13,"supported":43,"title":123,"abstract":124,"tags":125},[],[53,29,54],[29],{"code":57,"score":58,"supported":43,"title":127,"abstract":128,"tags":129},[],[61,62],[28],{"code":131,"score":90,"supported":43,"title":132,"abstract":133,"tags":136},"H2",[],[134,135],"土壤","soil",[],{"code":138,"score":22,"supported":14,"title":139,"abstract":140,"tags":141},"H6",[],[],[111],[143,144],"Chalan Beel 湿地 地下水","孟加拉国 地下水潜力 遥感","ChalanBeel湿地地下水-4902","10.1007\u002Fs44288-026-00768-z",{"doi":146,"openalex_id":148,"authors":149,"venue":98,"cited_by_count":80,"oa_url":169,"card":170,"direction":85,"ingested_from":87},"W7221572372",[150,152,155,158,161,163,165,167],{"name":151,"orcid":9},"Wahedul Alam",{"name":153,"orcid":154},"Iftekharul Islam","https:\u002F\u002Forcid.org\u002F0000-0002-8025-5729",{"name":156,"orcid":157},"Chowdhury Sarwar Jahan","https:\u002F\u002Forcid.org\u002F0009-0008-1316-4684",{"name":159,"orcid":160},"Md. Nahid Hassan","https:\u002F\u002Forcid.org\u002F0009-0000-9210-383X",{"name":162,"orcid":9},"Mostofa Kamal",{"name":164,"orcid":9},"Fayed Islam Tishad",{"name":166,"orcid":9},"Quamrul Hasan Mazumder",{"name":168,"orcid":9},"Md. Golam Mostafa","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44288-026-00768-z.pdf",{"tldr":171,"method":172,"finding":173,"direction":85,"opportunity":174},"用GIS、遥感和AHP划分孟加拉Chalan Beel湿地地下水潜力区，支持可持续生态系统管理。","集成GIS、RS与AHP，分析17个水文地质、地形、气候和环境图层。","降雨、土壤类型和渗透性最关键；高潜力区仅1%，中潜力区占77%。","可结合时序遥感与机器学习提升GWPZ动态制图精度，并耦合灌溉与生态需水决策。","2026-10-14T23:30:30.477606Z",{"id":177,"title":178,"url":179,"summary":180,"summary_zh":181,"content":9,"source_name":182,"source_url":179,"published_at":183,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":184,"score_detail":185,"sources":188,"tags":190,"primary_topic":194,"secondary_topics":199,"classification":200,"search_phrases":216,"slug":219,"view_count":69,"doi":220,"paper":221,"created_at":243},4596,"Spatio-temporal analysis of land use\u002Fland cover (LULC) changes using GIS techniques in Upper Bhavani River Basin, Nilgiri Hills, India","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44274-026-00915-w","The study investigates the land use and land cover (LULC) changes in Upper Bhavani River basin of the Western Ghats over the past four decades (1989–2019) using remote sensing (RS) and geographic information system (GIS) techniques. It also explores the correlation between LULC changes and population growth during this period. The study highlights the importance of mapping and monitoring LULC changes in developing better management strategies for the sustainable development of natural resources. The iterative self-organising data analysis technique was used for unsupervised classification to create LULC maps of the riverbasin.The study identified and categorised seven LULC categories, namely water bodies, deciduous forest, evergreen forest, agriculture, plantation, barren land, and settlement. The results of the study showed a complex series of modifications in the LULC in the study basin over the past forty years due to policy changes and conventional agroforestry systems. The study revealed a decrease in agriculture, evergreen forest, and deciduous forest by − 6.88%, − 31.42%, and − 9.88%, respectively, while water bodies, plantations, barren land, and settlement area increased by 7.06%, 17.64%, 13.29%, and 10.23%, respectively. The findings of the study provide insights into specific changes in LULC and help predict which land uses will be impacted in the future. The overall accuracy of the classification was0.73.Overall, this study emphasised the importance of monitoring and mapping LULC changes using RS and GIS techniques to develop better management strategies for the sustainable development of natural resources. The findings of the study were useful for policymakers, land-use planners, and conservationists in developing effective strategies to maintain the ecological balance of the Western Ghats.","本研究利用遥感（RS）和地理信息系统（GIS）技术，探讨了过去四十年（1989—2019年）西高止山脉上巴瓦尼河流域的土地利用与土地覆盖（LULC）变化，并分析了该时期LULC变化与人口增长之间的相关性。研究强调了制图和监测LULC变化对于制定自然资源可持续发展管理策略的重要性。采用迭代自组织数据分析技术进行非监督分类，以生成该流域的LULC图。研究识别并划分了七类LULC，分别为水体、落叶林、常绿林、农业、种植园、裸地和居民点。研究结果表明，受政策变化和传统农林业系统的影响，过去四十年研究流域的LULC经历了一系列复杂的改变。研究揭示，农业、常绿林和落叶林分别减少了−6.88%、−31.42%和−9.88%，而水体、种植园、裸地和居民点面积分别增加了7.06%、17.64%、13.29%和10.23%。研究结果揭示了LULC的具体变化，有助于预测未来哪些土地利用类型将受到影响。分类总体精度为0.73。总体而言，本研究强调了利用RS和GIS技术监测和制图LULC变化对于制定自然资源可持续发展管理策略的重要性。研究结果有助于政策制定者、土地利用规划者和保护主义者制定有效策略，以维持西高止山脉的生态平衡。","Discover Environment","2026-10-08T00:00:00Z",70,{"impact":20,"substance":186,"depth":103,"authority":104,"freshness":17,"relevant":22,"comment":187},20,"基于遥感与GIS的四十年土地利用变化实证研究，数据翔实、结论可靠，对流域生态管理与土地规划有参考价值，但属区域案例研究，公共影响层级有限。",[189],{"name":182,"url":179},[28,191,29,192,193],"土地利用","流域治理","西高止山",{"code":50,"slug":195,"name":196,"path":197,"parent_code":198},"gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",[],{"status":201,"locked":14,"version":36,"method":37,"evidence":202},"classified",{"candidates":203,"agricultural_evidence":43},[204,208,212],{"code":50,"score":18,"supported":43,"title":205,"abstract":206,"tags":207},[29],[53,29,54],[29],{"code":57,"score":58,"supported":43,"title":209,"abstract":210,"tags":211},[],[61,62],[28],{"code":138,"score":22,"supported":14,"title":213,"abstract":214,"tags":215},[],[],[191],[217,218],"土地利用 流域治理 西高止山 遥感监测","土地利用 流域治理","土地利用流域治理西高止山遥感监测-4596","10.1007\u002Fs44274-026-00915-w",{"doi":220,"openalex_id":222,"authors":223,"venue":182,"cited_by_count":80,"oa_url":237,"card":238,"direction":85,"ingested_from":87},"W7221028855",[224,226,229,231,233,235],{"name":225,"orcid":9},"Sapna Kinattinkara",{"name":227,"orcid":228},"Thangavelu Arumugam","https:\u002F\u002Forcid.org\u002F0000-0002-2984-283X",{"name":230,"orcid":9},"Karpagamani Vellingiri",{"name":232,"orcid":9},"Manoj Kumar Patley",{"name":234,"orcid":9},"Manimaran Arumugam",{"name":236,"orcid":9},"Nigatu Wondrade","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44274-026-00915-w.pdf",{"tldr":239,"method":240,"finding":241,"direction":85,"opportunity":242},"用遥感与GIS分析印度上巴瓦尼河流域1989-2019年土地利用变化及其与人口增长的关系。","遥感与GIS、ISODATA非监督分类，划分七类LULC，总体精度0.73。","农业、常绿林和落叶林分别减少6.88%、31.42%、9.88%，水体、种植园、裸地和居民地增加。","可结合高精度分类与人口、政策数据，构建LULC变化驱动力模型并预测未来情景。","2026-10-10T23:30:30.955766Z",{"id":245,"title":246,"url":247,"summary":248,"summary_zh":249,"content":9,"source_name":250,"source_url":247,"published_at":183,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":251,"score_detail":252,"sources":254,"tags":256,"primary_topic":261,"secondary_topics":267,"classification":272,"search_phrases":311,"slug":314,"view_count":22,"doi":315,"paper":316,"created_at":326},4501,"THE IMPACT OF AGRICULTURAL LANDSCAPE USE AROUND KOKAND CITY ON FOOD SECURITY","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23244244","This thesis examines the impact of agricultural landscape use around Kokand City on food security based on a geographical approach. The study area encompasses agricultural territories directly adjacent to Kokand City and functionally connected to the city’s food supply. Landscape, territorial-comparative, statistical, and ecological-geographical analysis methods were used in the study. Based on official statistical data, it is shown that agricultural, forestry, and fishery products are produced within Kokand City itself. During January–September 2024, the volume of products from these sectors in the city amounted to 264.8 billion UZS, including 2.7 thousand tons of vegetables, 4.9 thousand tons of fruits, 7.4 thousand tons of milk, and 2.1 thousand tons of meat. At the same time, intensive irrigated farming, soil salinization, the efficiency of water resource use, and urbanization processes were assessed as key factors affecting the sustainability of agricultural landscapes. The study substantiates the need to monitor peri-urban agro-landscapes using GIS and remote sensing, improve irrigation efficiency, and control the transformation of productive agricultural land to strengthen food security.","本论文基于地理学方法，考察了浩罕市周边农业景观利用对粮食安全的影响。研究区域涵盖与浩罕市直接相邻且在功能上与城市粮食供应相联系的农业地域。研究中采用了景观分析、地域比较、统计及生态地理分析方法。基于官方统计数据，研究表明浩罕市自身范围内生产了农业、林业和渔业产品。2024年1月至9月期间，该市这些部门的产品总量达2648亿苏姆，其中包括2700吨蔬菜、4900吨水果、7400吨牛奶和2100吨肉类。同时，集约化灌溉农业、土壤盐渍化、水资源利用效率及城市化进程被评估为影响农业景观可持续性的关键因素。研究论证了利用地理信息系统（GIS）和遥感技术监测城郊农业景观、提高灌溉效率以及控制生产性农业用地转变以加强粮食安全的必要性。","Zenodo (CERN European Organization for Nuclear Research)",61,{"impact":17,"substance":18,"depth":42,"authority":20,"freshness":21,"relevant":22,"comment":253},"基于GIS与遥感的城郊农业景观研究，数据具体但属地方性案例，方法可借鉴。",[255],{"name":250,"url":247},[257,28,29,258,259,260],"粮食安全","灌溉效率","盐碱化","城郊农业",{"code":262,"slug":263,"name":264,"path":265,"parent_code":266},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[268],{"code":41,"slug":45,"name":269,"path":270,"parent_code":271},"水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",{"status":201,"locked":14,"version":36,"method":37,"evidence":273},{"candidates":274,"agricultural_evidence":43},[275,281,286,290,294,298,305],{"code":262,"score":276,"supported":43,"title":277,"abstract":279,"tags":280},15,[278],"food security",[257,278],[257],{"code":41,"score":21,"supported":43,"title":282,"abstract":283,"tags":285},[],[47,120,45,284],"water resource",[],{"code":57,"score":58,"supported":43,"title":287,"abstract":288,"tags":289},[],[61,62],[28],{"code":50,"score":58,"supported":43,"title":291,"abstract":292,"tags":293},[],[53,29],[29],{"code":131,"score":90,"supported":43,"title":295,"abstract":296,"tags":297},[],[134,135],[],{"code":299,"score":300,"supported":43,"title":301,"abstract":302,"tags":304},"B1",3,[],[303],"蔬菜",[],{"code":306,"score":300,"supported":43,"title":307,"abstract":308,"tags":310},"D",[],[309],"渔业",[],[312,313],"Kokand 农业景观 粮食安全","城郊农业 GIS 遥感","Kokand农业景观粮食安全-4501","10.5281\u002Fzenodo.23244244",{"doi":315,"openalex_id":317,"authors":318,"venue":250,"cited_by_count":80,"oa_url":247,"card":321,"direction":85,"ingested_from":87},"W7220903359",[319],{"name":320,"orcid":9},"Boratov Alijon",{"tldr":322,"method":323,"finding":324,"direction":85,"opportunity":325},"基于地理方法分析科坎德市周边农业景观利用对粮食安全的影响。","景观与生态地理分析、统计及GIS遥感监测建议。","灌溉、盐渍化、水资源效率与城市化是影响农业景观可持续性的关键因素。","可结合GIS与遥感构建城郊农业景观动态监测体系，评估灌溉效率与土地转化对粮食安全的影响。","2026-10-09T23:30:25.643757Z",{"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":251,"score_detail":335,"sources":337,"tags":339,"primary_topic":9,"secondary_topics":342,"classification":343,"search_phrases":363,"slug":366,"view_count":80,"doi":367,"paper":368,"created_at":383},4316,"GIS-BASED ASSESSMENT OF SOIL EROSION RISK IN GUBI DAM WATERSHED, NORTHEASTERN NIGERIA, USING THE REVISED UNIVERSAL SOIL LOSS EQUATION (RUSLE)","https:\u002F\u002Fdoi.org\u002F10.70382\u002Fbejemcr.v13i4.040","Soil erosion within reservoir watersheds can degrade land resources and mobilise sediment through drainage networks, making spatial identification of erosion-prone areas important for watershed management. This study assessed the magnitude and spatial distribution of soil erosion in the Gubi Dam watershed, northeastern Nigeria, using the Revised Universal Soil Loss Equation (RUSLE) integrated with Geographic Information System (GIS) and remote-sensing techniques. A 30m Shuttle Radar Topography Mission (SRTM) digital elevation model was used for watershed delineation and terrain analysis, while rainfall records, FAO soil information and September 2021 Landsat 8 OLI imagery were used to derive rainfall erosivity (R), soil erodibility (K), slope length and steepness (LS), cover-management (C), and support-practice (P) factors. Vegetation protection was represented using a continuous NDVI-derived C-factor surface. The delineated watershed covered approximately 18,067.39 ha (180.67 km²). RUSLE estimated soil loss ranged from approximately 0 to 715.3 t ha⁻¹ yr⁻¹, with a watershed-wide mean of 5.590t ha⁻¹ yr⁻¹. The archived study-specific classification indicated that 98.6% of the watershed occurred within the two lower soil loss classes, whereas the three upper classes collectively occupied approximately 252.94 ha (1.4%). Elevated estimates were spatially concentrated, particularly in areas associated with steep terrain and major drainage pathways. The assessment provides a spatial screening basis for prioritising field investigation and soil conservation planning. The estimates represent potential sheet and rill soil loss rather than sediment delivery to Gubi Reservoir, and field validation is recommended.","水库流域内的土壤侵蚀会退化土地资源，并通过排水网络搬运泥沙，因此对易侵蚀区域进行空间识别对流域管理具有重要意义。本研究采用修订通用土壤流失方程（RUSLE），结合地理信息系统（GIS）和遥感技术，评估了尼日利亚东北部古比大坝流域土壤侵蚀的强度与空间分布。研究使用30 m航天飞机雷达地形测绘任务（SRTM）数字高程模型进行流域划分和地形分析，并利用降雨记录、FAO土壤信息和2021年9月Landsat 8 OLI影像提取降雨侵蚀力（R）、土壤可蚀性（K）、坡长与坡度（LS）、植被覆盖与管理（C）以及水土保持措施（P）因子。植被保护状况通过基于NDVI生成的连续C因子表面来表示。划分出的流域面积约为18 067.39 ha（180.67 km²）。RUSLE估算的土壤流失量约为0至715.3 t ha⁻¹ yr⁻¹，全流域平均值为5.590 t ha⁻¹ yr⁻¹。本研究采用的分类结果表明，流域内98.6%的区域属于两个较低土壤流失等级，而三个较高等级合计约占252.94 ha（1.4%）。高估算值在空间上较为集中，尤其出现在陡峭地形和主要排水通道相关区域。该评估为优先开展野外调查和水土保持规划提供了空间筛查依据。这些估算值代表潜在的片蚀和细沟土壤流失，而非输移至古比水库的泥沙量，建议进行野外验证。","Journal of Environmental Management and Construction Research","2026-10-04T00:00:00Z",{"impact":17,"substance":18,"depth":276,"authority":20,"freshness":17,"relevant":22,"comment":336},"基于RUSLE与GIS\u002F遥感的流域土壤侵蚀定量评估，方法规范、数据具体，但属区域性案例研究，对国内三农信息化仅有方法借鉴价值。",[338],{"name":333,"url":330},[28,340,29,341,192],"土壤侵蚀","水土保持",[],{"status":35,"locked":14,"version":36,"method":37,"evidence":344},{"candidates":345,"agricultural_evidence":14,"reason":64},[346,350,354,359],{"code":50,"score":18,"supported":43,"title":347,"abstract":348,"tags":349},[29],[53,29,54],[29],{"code":131,"score":42,"supported":43,"title":351,"abstract":352,"tags":353},[135],[134,135],[],{"code":138,"score":355,"supported":43,"title":356,"abstract":357,"tags":358},4,[],[341],[341],{"code":57,"score":355,"supported":43,"title":360,"abstract":361,"tags":362},[],[61],[28],[364,365],"Gubi Dam 流域 RUSLE","尼日利亚 土壤侵蚀 GIS","GubiDam流域RUSLE-4316","10.70382\u002Fbejemcr.v13i4.040",{"doi":367,"openalex_id":369,"authors":370,"venue":333,"cited_by_count":80,"oa_url":377,"card":378,"direction":85,"ingested_from":87},"W7219911927",[371,373,375],{"name":372,"orcid":9},"AHMED BABAYO",{"name":374,"orcid":9},"ABDULKADIR ABUBAKAR",{"name":376,"orcid":9},"ZAKARI DANLADI","https:\u002F\u002Fberkeleypublications.com\u002Fbjemcr\u002Farticle\u002Fdownload\u002F895\u002F790",{"tldr":379,"method":380,"finding":381,"direction":85,"opportunity":382},"用RUSLE结合GIS和遥感评估尼日利亚Gubi水库流域土壤侵蚀风险并制图。","RUSLE模型、30m SRTM DEM、Landsat 8 OLI、NDVI与","流域年均土壤流失5.59 t\u002Fha\u002Fyr，高侵蚀区集中于陡坡和主排水路径，仅1.4%面积属高侵蚀等级","可结合泥沙输移比与实地验证，将潜在侵蚀估算转化为水库淤积风险与保护措施优先区研究。","2026-10-06T23:30:21.805554Z",{"id":385,"title":386,"url":387,"summary":388,"summary_zh":389,"content":9,"source_name":390,"source_url":387,"published_at":334,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":391,"score_detail":392,"sources":394,"tags":396,"primary_topic":9,"secondary_topics":400,"classification":401,"search_phrases":418,"slug":421,"view_count":80,"doi":422,"paper":423,"created_at":436},4315,"أثرتغير الحرارة والامطار على التدهور البيئي في ناحية الكوير","https:\u002F\u002Fdoi.org\u002F10.66359\u002Fitqan.v2i1.034","يتناول البحث أثر التغيرات المناخية في تدهور الغطاء النباتي بناحية الكوير خلال المدة (1990–2023)، من خلال تحليل بيانات الحرارة والأمطار، واستخدام تقنيات الاستشعار عن بعد ونظم المعلومات الجغرافية (GIS) ومؤشر الغطاء النباتي (NDVI). أظهرت النتائج ارتفاعاً في درجات الحرارة مقابل انخفاض وتذبذب كميات الأمطار، مما أدى إلى تراجع كثافة الغطاء النباتي واتساع مساحات الغطاء الضعيف، خاصة في عامي 2000 و2023 بفعل الجفاف وارتفاع التبخر. كما أكدت الدراسة وجود علاقة واضحة بين التغيرات المناخية وتدهور الغطاء النباتي، مما يبرز أهمية تبني إدارة بيئية مستدامة للحفاظ على الموارد الطبيعية في المنطقة","本研究探讨了1990年至2023年期间气候变化对科韦尔地区植被退化的影响，通过分析气温和降水数据，并运用遥感技术、地理信息系统（GIS）和植被指数（NDVI）进行研究。结果表明，气温上升而降水量减少且波动，导致植被密度下降、稀疏植被面积扩大，尤其是在2000年和2023年，干旱和蒸发加剧了这一趋势。研究还证实气候变化与植被退化之间存在明显关系，凸显了采取可持续环境管理以保护该地区自然资源的重要性。","مجلة الاتقان للعلوم الإنسانية",57,{"impact":17,"substance":18,"depth":276,"authority":13,"freshness":90,"relevant":22,"comment":393},"基于遥感与GIS的伊拉克区域植被退化实证研究，方法规范但属地方性案例，公共影响有限。",[395],{"name":390,"url":387},[397,398,28,29,399],"气候变化","NDVI","植被退化",[],{"status":35,"locked":14,"version":36,"method":37,"evidence":402},{"candidates":403,"agricultural_evidence":14,"reason":64},[404,410,414],{"code":405,"score":58,"supported":43,"title":406,"abstract":407,"tags":409},"H7",[],[397,408],"干旱",[397],{"code":50,"score":58,"supported":43,"title":411,"abstract":412,"tags":413},[],[53,29],[29],{"code":57,"score":90,"supported":43,"title":415,"abstract":416,"tags":417},[],[61],[398,399,28],[419,420],"الكوير NDVI","تدهور الغطاء النباتي GIS","الكويرNDVI-4315","10.66359\u002Fitqan.v2i1.034",{"doi":422,"openalex_id":424,"authors":425,"venue":390,"cited_by_count":80,"oa_url":430,"card":431,"direction":85,"ingested_from":87},"W7219900093",[426,428],{"name":427,"orcid":9},"معن جاسم محمد",{"name":429,"orcid":9},"أ. م. د    خالد صطم عطية","https:\u002F\u002Falitqan.iraqiqsa.org\u002Findex.php\u002FAIJHS\u002Farticle\u002Fdownload\u002Fitqan-v2i1-034\u002F389",{"tldr":432,"method":433,"finding":434,"direction":85,"opportunity":435},"研究1990–2023年伊拉克Kوير地区气温降水变化对植被退化的影响。","用气温降水数据、遥感、GIS和NDVI分析植被覆盖变化。","气温升高、降水减少且波动导致植被密度下降、弱覆盖扩大，2000和2023年最严重。","可结合多源遥感与气候模型，量化干旱区植被退化驱动机制并预测未来趋势。","2026-10-06T23:30:21.747683Z",{"id":438,"title":439,"url":440,"summary":441,"summary_zh":442,"content":9,"source_name":443,"source_url":440,"published_at":444,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":445,"score_detail":446,"sources":448,"tags":450,"primary_topic":454,"secondary_topics":458,"classification":459,"search_phrases":488,"slug":491,"view_count":22,"doi":492,"paper":493,"created_at":511},4312,"Identification of Cultivable Wastelands in Meghalaya, India using Geospatial Technology for Agricultural Reclamation","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fjgeesi\u002F2026\u002Fv30i101131","Cultivable wastelands suitable for cultivation are a significant land resource that can be utilised to improve agricultural productivity and sustainable land management. The present study aimed to estimate the cultivable wastelands of Meghalaya using Remote Sensing and Geographic Information System (GIS) techniques and to assess the possibilities for reclaiming wastelands for agriculture. Multispectral satellite data from the LISS-IV sensor for the period 2025-2026 were processed to create a False Colour Composite (FCC), and Land Use\u002FLand Cover (LULC) classification was performed using visual image interpretation to distinguish the major cultivable wasteland categories: Dense Scrub Land, Sparse Scrub Land, Grasslands\u002FGrazing Lands, and Shifting Cultivation Area. About 340,673.36 ha, representing almost 15.2% of the total geographical area of Meghalaya, were identified as cultivable wastelands. Among the identified categories, Sparse Scrub Land occupied the largest area (206,595.18 ha), followed by Dense Scrub Land (99,488.89 ha), Shifting Cultivation Area (34,331.34 ha), and Grasslands\u002FGrazing Lands (257.94 ha). The distribution of these wastelands suggests considerable potential for reclamation through appropriate land restoration and sustainable management practices. The spatial database and thematic maps generated provide baseline information for land-use planning, resource management, and policy formulation aimed at enhancing agricultural productivity and the sustainable utilisation of wastelands in Meghalaya.","适宜耕作的 cultivable wasteland（可耕荒地）是一项重要的土地资源，可用于提高农业生产力和可持续土地管理。本研究旨在利用遥感（Remote Sensing）和地理信息系统（Geographic Information System, GIS）技术估算梅加拉亚邦的可耕荒地，并评估将荒地开垦用于农业的可能性。对2025—2026年LISS-IV传感器多光谱卫星数据进行处理，生成假彩色合成影像（False Colour Composite, FCC），并通过目视图像解译进行土地利用\u002F土地覆盖（Land Use\u002FLand Cover, LULC）分类，以区分主要可耕荒地类别：密灌丛地、疏灌丛地、草地\u002F放牧地以及轮垦区。约340,673.36公顷土地被识别为可耕荒地，占梅加拉亚邦总地理面积的近15.2%。在已识别类别中，疏灌丛地面积最大（206,595.18公顷），其次为密灌丛地（99,488.89公顷）、轮垦区（34,331.34公顷）和草地\u002F放牧地（257.94公顷）。这些荒地的分布表明，通过适当的土地恢复和可持续管理措施，具有相当大的开垦潜力。所生成的空间数据库和专题图件为土地利用规划、资源管理和政策制定提供了基础信息，旨在提高梅加拉亚邦的农业生产力和实现荒地的可持续利用。","Journal of Geography Environment and Earth Science International","2026-10-05T00:00:00Z",69,{"impact":20,"substance":186,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":447},"基于LISS-IV遥感与GIS的印度梅加拉亚邦可耕荒地清查，数据翔实、方法规范，对农业土地复垦与空间规划有参考价值，但属区域案例，公共影响有限。",[449],{"name":443,"url":440},[451,452,28,29,453],"可持续农业","耕地保护","土地整治",{"code":198,"slug":455,"name":456,"path":457,"parent_code":9},"digital-agriculture","数字农业与前沿技术","\u002Ftopic\u002Fdigital-agriculture",[],{"status":460,"locked":14,"version":36,"method":37,"evidence":461},"partial",{"candidates":462,"agricultural_evidence":43,"reason":487},[463,468,472,477,482],{"code":57,"score":13,"supported":43,"title":464,"abstract":465,"tags":467},[],[61,62,466],"multispectral",[28],{"code":50,"score":13,"supported":43,"title":469,"abstract":470,"tags":471},[],[53,29,54],[29],{"code":473,"score":69,"supported":14,"title":474,"abstract":475,"tags":476},"H1",[],[],[453,452],{"code":478,"score":22,"supported":14,"title":479,"abstract":480,"tags":481},"G2",[],[],[453],{"code":483,"score":22,"supported":14,"title":484,"abstract":485,"tags":486},"H8",[],[],[451],"一级领域明确，二级方向需要细分",[489,490],"Meghalaya 可耕荒地 遥感","LISS-IV 土地利用 分类","Meghalaya可耕荒地遥感-4312","10.9734\u002Fjgeesi\u002F2026\u002Fv30i101131",{"doi":492,"openalex_id":494,"authors":495,"venue":443,"cited_by_count":80,"oa_url":440,"card":506,"direction":85,"ingested_from":87},"W7220436664",[496,498,501,503],{"name":497,"orcid":9},"Ronak Meena",{"name":499,"orcid":500},"Chandan Goswami","https:\u002F\u002Forcid.org\u002F0000-0002-9487-5080",{"name":502,"orcid":9},"C. P. Suresh",{"name":504,"orcid":505},"Akmaul Hoque","https:\u002F\u002Forcid.org\u002F0009-0002-4475-566X",{"tldr":507,"method":508,"finding":509,"direction":85,"opportunity":510},"利用遥感与GIS识别印度梅加拉亚邦可耕荒地并评估其农业复垦潜力。","LISS-IV多光谱影像、假彩色合成与目视解译的土地利用分类。","识别出约34万公顷可耕荒地，占全邦15.2%，以稀疏灌木地为主。","可结合机器学习自动分类与土壤、气候数据，构建荒地复垦适宜性评价模型。","2026-10-06T23:30:20.340575Z"]