[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4509":3,"related-4509":79},{"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":18,"tags":20,"primary_topic":25,"secondary_topics":31,"classification":32,"search_phrases":54,"slug":57,"view_count":15,"doi":58,"paper":59,"created_at":78},4509,"TOPOGRAPHIC MAP AS A FUNDAMENTAL TOOL FOR PHYSICAL PLANNING AND SUSTAINABLE NATIONAL DEVELOPMENT","https:\u002F\u002Fdoi.org\u002F10.70382\u002Fcaijarss.v13i2.071","Topographic maps are essential geospatial tools that provide accurate representation of the Earth’s surface features, including terrain characteristics, natural resources, and human-made structures. Their application in physical planning and sustainable national development has become increasingly important due to the growing need for efficient land management, infrastructure development, environmental conservation, and disaster risk reduction. This paper examines the significance of topographic maps as a fundamental resource for spatial decision-making and sustainable development planning. It highlights their roles in urban and regional planning, engineering design, environmental management, agricultural development, and resource allocation. The study emphasizes the integration of modern surveying technologies such as Global Navigation Satellite Systems (GNSS), Geographic Information Systems (GIS), and remote sensing in improving the accuracy, accessibility, and usability of topographic information. The paper further discusses challenges affecting the production and utilization of topographic maps, including outdated datasets, limited technical capacity, and inadequate institutional support. It concludes that up-to-date and reliable topographic maps are indispensable for achieving sustainable national development goals through informed planning, effective resource management, and resilient infrastructure development. Strengthening geospatial data acquisition, updating mapping systems, and promoting collaboration among relevant stakeholders are recommended to maximize the benefits of topographic mapping in national development.","地形图是重要的地理空间工具，能够准确表达地球表面特征，包括地形特征、自然资源和人工构筑物。由于高效土地管理、基础设施建设、环境保护和灾害风险降低的需求日益增长，地形图在物质规划和国家可持续发展中的应用变得愈发重要。本文探讨了地形图作为空间决策和可持续发展规划基础资源的重要意义，重点阐述了其在城乡规划、工程设计、环境管理、农业发展和资源分配中的作用。研究强调，应整合全球导航卫星系统（GNSS）、地理信息系统（GIS）和遥感等现代测量技术，以提高地形信息的精度、可获取性和可用性。本文还讨论了影响地形图生产与利用的挑战，包括数据集陈旧、技术能力有限和制度支持不足。研究结论认为，最新且可靠的地形图对于通过科学规划、有效资源管理和韧性基础设施建设来实现国家可持续发展目标不可或缺。建议加强地理空间数据采集、更新测绘系统并促进相关利益攸关方之间的协作，以最大化地形测绘在国家发展中的效益。",null,"International Journal of African Research Sustainability Studies","2026-10-08T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"主题为地形图在国土空间规划中的应用，与三农、农业信息化、智慧农业无直接关联，相关性门槛未通过。",[19],{"name":10,"url":6},[21,22,23,24],"遥感","地理信息系统","空间规划","地形图",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"classified","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":40},[38,47],{"code":26,"score":39,"supported":40,"title":41,"abstract":42,"tags":46},11,true,[],[43,44,45],"地理信息","GIS","geographic information",[22,23],{"code":48,"score":49,"supported":40,"title":50,"abstract":51,"tags":53},"I3",7,[],[21,52],"remote sensing",[21],[55,56],"地理信息系统 空间规划 地形图 遥感","地理信息系统 空间规划","地理信息系统空间规划地形图遥感-4509","10.70382\u002Fcaijarss.v13i2.071",{"doi":58,"openalex_id":60,"authors":61,"venue":10,"cited_by_count":15,"oa_url":6,"card":70,"direction":76,"ingested_from":77},"W7221051195",[62,64,66,68],{"name":63,"orcid":9},"Danladi Zakari",{"name":65,"orcid":9},"BABAYO AHMED",{"name":67,"orcid":9},"ABUBAKAR ABDULKADIR",{"name":69,"orcid":9},"Abubakar Abdullahi Yakubu",{"tldr":71,"method":72,"finding":73,"direction":74,"opportunity":75},"综述地形图作为空间规划与可持续发展基础工具的作用及现代化技术整合。","文献综述，结合GNSS、GIS与遥感技术讨论地形图应用。","现势性地形图对可持续国家发展不可或缺，但面临数据过时与能力不足等挑战。","数字乡村与农业信息化","可探索低成本更新地形图并融合物联网\u002F遥感数据，服务精准农业与乡村规划决策。","农业遥感与作物表型","openalex","2026-10-09T23:30:26.228186Z",{"total":80,"page":81,"page_size":80,"items":82},6,1,[83,158,235,313,399,458],{"id":84,"title":85,"url":86,"summary":87,"summary_zh":88,"content":9,"source_name":89,"source_url":86,"published_at":90,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":91,"score_detail":92,"sources":99,"tags":101,"primary_topic":105,"secondary_topics":106,"classification":107,"search_phrases":138,"slug":141,"view_count":15,"doi":142,"paper":143,"created_at":157},5572,"Potential erosion risk assessment of Kanak stream basin (Sivas, Sarkisla) with the ICONA model","https:\u002F\u002Fdoi.org\u002F10.51753\u002Fflsrt.1828829","The rapid development of technology following the Industrial Revolution has increased human domination over nature. Erosion, which plays a critical role in the process of natural shaping of the earth, can accelerate over time because of improper utilization of the natural environment by humans. The main objective of this study is to determine the erosion susceptibility of the Kanak Creek Basin, one of the sub-basins in the upper reaches of the Kizilirmak River, using the ICONA model, whose main parameters are slope, lithology, land use and vegetation cover, and Geographic Information Systems (GIS) and Remote Sensing techniques, and to list the measures that can be taken against erosion. According to the results of the ICONA model potential erosion level map, 48% of the study area has low erosion susceptibility. These areas largely correspond to the vicinity of Sama Mountain, which has volcanic rocks resistant to erosion, and the base of Sarkisla Plain where the slope is very low. The plain floor is largely covered with agricultural lands. The expansion of irrigated agriculture in this region is one of the main measures that can be taken against erosion. Erosion susceptibility increases around Turna Mountain on the northern border of the basin and Cal Mountain in the south due to both the increase in slope and the lack of resistance of the rocks in the region to erosion, and corresponds to 30% of the study area. In 22% of the basin, susceptibility to erosion is at a medium level. Most of these areas consist of natural meadows and pastures. It is essential to take measures against overgrazing in these areas to prevent the complete loss of the already sparse vegetation cover. Planning land use in the basin in a sustainable manner, arranging fields and layers perpendicular to the slope, expanding irrigated agriculture, and preventing overgrazing are of vital importance in terms of combating soil erosion.","工业革命以来技术的迅猛发展增强了人类对自然的支配能力。侵蚀在地球自然塑造过程中起着关键作用，而人类对自然环境的不当利用会加速侵蚀进程。本研究的主要目标是利用ICONA模型（其主要参数为坡度、岩性、土地利用和植被覆盖）以及地理信息系统（GIS）和遥感技术，确定克孜勒河上游子流域之一卡纳克溪流域的侵蚀敏感性，并列出可采取的侵蚀防治措施。根据ICONA模型潜在侵蚀等级图的结果，研究区48%的区域侵蚀敏感性较低。这些区域主要对应于具有抗侵蚀火山岩的萨马山附近以及坡度极低的萨尔基什拉平原底部。平原底部大部分为农业用地覆盖。在该地区扩大灌溉农业是防治侵蚀的主要措施之一。在流域北部边界的图尔纳山和南部的恰尔山周围，由于坡度增大以及该地区岩石抗侵蚀能力不足，侵蚀敏感性增加，占研究区面积的30%。流域22%的区域侵蚀敏感性为中等水平。这些区域大部分为天然草甸和牧场。在这些地区采取措施防止过度放牧至关重要，以避免本已稀疏的植被覆盖完全丧失。以可持续方式规划流域土地利用、沿垂直于坡向布置田块和土层、扩大灌溉农业以及防止过度放牧，对防治土壤侵蚀具有至关重要的意义。","Frontiers in Life Sciences and Related Technologies","2026-10-21T00:00:00Z",61,{"impact":93,"substance":94,"depth":95,"authority":96,"freshness":97,"relevant":81,"comment":98},8,18,14,12,9,"该研究以ICONA模型结合GIS与遥感评估土耳其小流域侵蚀风险，方法规范、结论具体，但属区域性案例，公共影响有限，可作为专业参考而非每日精选。",[100],{"name":89,"url":86},[21,102,103,44,104],"土地利用","土壤侵蚀","水土保持",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[],{"status":33,"locked":14,"version":34,"method":35,"evidence":108},{"candidates":109,"agricultural_evidence":40},[110,114,118,125,132],{"code":26,"score":13,"supported":40,"title":111,"abstract":112,"tags":113},[],[43,44,45],[44],{"code":48,"score":49,"supported":40,"title":115,"abstract":116,"tags":117},[],[21,52],[21],{"code":119,"score":80,"supported":40,"title":120,"abstract":121,"tags":124},"H2",[],[122,123],"土壤","soil",[],{"code":126,"score":127,"supported":40,"title":128,"abstract":129,"tags":131},"H3",3,[],[130],"灌溉",[],{"code":133,"score":134,"supported":14,"title":135,"abstract":136,"tags":137},"H6",2,[],[],[102,104],[139,140],"ICONA 模型 侵蚀风险","Kanak 流域 侵蚀","ICONA模型侵蚀风险-5572","10.51753\u002Fflsrt.1828829",{"doi":142,"openalex_id":144,"authors":145,"venue":89,"cited_by_count":15,"oa_url":9,"card":151,"direction":76,"ingested_from":77},"W7223117733",[146,148],{"name":147,"orcid":9},"MERİÇ KURT",{"name":149,"orcid":150},"Celal ŞENOL","https:\u002F\u002Forcid.org\u002F0000-0003-0857-866X",{"tldr":152,"method":153,"finding":154,"direction":155,"opportunity":156},"用ICONA模型评估土耳其Kanak流域潜在侵蚀风险并列出防治措施。","ICONA模型结合GIS与遥感，输入坡度、岩性、土地利用与植被覆盖。","48%区域低侵蚀风险，30%高敏感，22%中等，主因坡度与岩性。","农业绿色发展与碳","可将ICONA与遥感时序数据结合，动态监测流域侵蚀并评估农业管理措施效果。","2026-10-22T11:20:39.475037Z",{"id":159,"title":160,"url":161,"summary":162,"summary_zh":163,"content":9,"source_name":164,"source_url":161,"published_at":165,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":166,"score_detail":167,"sources":170,"tags":172,"primary_topic":176,"secondary_topics":177,"classification":182,"search_phrases":211,"slug":214,"view_count":15,"doi":215,"paper":216,"created_at":234},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",60,{"impact":93,"substance":94,"depth":168,"authority":13,"freshness":97,"relevant":81,"comment":169},15,"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。",[171],{"name":164,"url":161},[21,44,173,174,175],"农用地适宜性","土地覆被","孟加拉农业",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[178],{"code":48,"slug":179,"name":180,"path":181,"parent_code":30},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"status":33,"locked":14,"version":34,"method":35,"evidence":183},{"candidates":184,"agricultural_evidence":40},[185,189,193,200,207],{"code":26,"score":94,"supported":40,"title":186,"abstract":187,"tags":188},[44],[43,44,45],[44],{"code":48,"score":168,"supported":40,"title":190,"abstract":191,"tags":192},[52],[21,52],[21],{"code":194,"score":80,"supported":40,"title":195,"abstract":196,"tags":199},"A1",[],[197,198],"稻米","rice",[],{"code":201,"score":80,"supported":40,"title":202,"abstract":203,"tags":206},"G",[],[204,205],"农村发展","rural development",[],{"code":119,"score":80,"supported":40,"title":208,"abstract":209,"tags":210},[],[122,123],[],[212,213],"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":215,"openalex_id":217,"authors":218,"venue":228,"cited_by_count":15,"oa_url":161,"card":229,"direction":76,"ingested_from":77},"W7222895468",[219,221,223,225],{"name":220,"orcid":9},"Raju Ahmed",{"name":222,"orcid":9},"Shaikh Mehdee Mohammad",{"name":224,"orcid":9},"Ummul Momanin Coalee",{"name":226,"orcid":227},"Khandakar Hasan Mahmud","https:\u002F\u002Forcid.org\u002F0000-0003-1222-0791","The Bangladesh Rural Development Studies",{"tldr":230,"method":231,"finding":232,"direction":76,"opportunity":233},"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",{"id":236,"title":237,"url":238,"summary":239,"summary_zh":240,"content":9,"source_name":241,"source_url":238,"published_at":242,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":243,"score_detail":244,"sources":248,"tags":250,"primary_topic":255,"secondary_topics":260,"classification":262,"search_phrases":286,"slug":289,"view_count":15,"doi":290,"paper":291,"created_at":312},5096,"Land Cover Change, Ecosystem Service Implications, and Economy–Land Use Decoupling:","https:\u002F\u002Fdoi.org\u002F10.14246\u002Firspsd.14.4_186","Land cover change plays a critical role in shaping watershed ecological conditions and supporting regional economic activities. This study analyzes land cover dynamics in the Tiworo Watershed, Southeast Sulawesi, Indonesia, for 2014, 2019, and 2024, and examines their relationship with sectoral economic growth. Remote sensing and GIS were used to map and quantify land cover changes, while sectoral Gross Regional Domestic Product (GRDP) data for agriculture, forestry, and fisheries represented economic performance. Economy–land use interactions were assessed using the Tapio decoupling elasticity index. Economy–land use interactions were assessed using the Tapio decoupling elasticity index as a retrospective empirical measure based on observed changes in land cover and sectoral GRDP over the study periods. The results show increasing sectoral GRDP accompanied by relatively limited changes in dominant land cover classes. Absolute decoupling was observed during 2014–2019, relative decoupling during 2019–2024, and overall absolute decoupling for 2014–2024, indicating that economic growth was not proportionally associated with large-scale land conversion. Spatial analysis reveals localized landscape transformations, including mangrove degradation, settlement expansion, and plantation growth, which signal emerging pressures on environmentally sensitive areas. Although ecosystem services are not directly valued, land cover change is interpreted as an indicator of ecological pressure with implications for provisioning ecosystem services. These findings highlight the importance of integrating land-use monitoring and economic indicators to support adaptive watershed management, spatial planning, and sustainable development.","土地覆盖变化在塑造流域生态状况和支撑区域经济活动方面发挥着关键作用。本研究分析了印度尼西亚东南苏拉威西省蒂沃罗流域（Tiworo Watershed）2014年、2019年和2024年的土地覆盖动态，并考察其与部门经济增长的关系。研究采用遥感和地理信息系统（GIS）对土地覆盖变化进行制图和量化，同时以农业、林业和渔业的部门地区生产总值（GRDP）数据表征经济表现。经济与土地利用的相互作用采用Tapio脱钩弹性指数进行评估，该指数作为基于研究期内观测到的土地覆盖变化和部门GRDP变化的回顾性经验测度。结果表明，部门GRDP持续增长，而主导土地覆盖类型的变化相对有限。2014—2019年呈现绝对脱钩，2019—2024年呈现相对脱钩，2014—2024年整体呈现绝对脱钩，表明经济增长与大规模土地转换之间不存在比例关联。空间分析揭示了局部景观转型，包括红树林退化、居民点扩张和种植园增长，这些信号表明环境敏感区域正面临新兴压力。尽管生态系统服务未被直接估值，但土地覆盖变化被解释为生态压力的指标，并对供给型生态系统服务具有潜在影响。这些发现凸显了整合土地利用监测与经济指标的重要性，以支持适应性流域管理、空间规划和可持续发展。","International Review for Spatial Planning and Sustainable Development","2026-10-14T00:00:00Z",63,{"impact":93,"substance":94,"depth":245,"authority":246,"freshness":93,"relevant":81,"comment":247},16,13,"基于遥感与GIS的流域土地利用变化与经济增长脱钩研究，方法规范但属区域案例，对国内三农信息化参考价值有限。",[249],{"name":241,"url":238},[251,252,253,254,23],"遥感监测","土地利用变化","流域管理","生态系统服务",{"code":133,"slug":256,"name":257,"path":258,"parent_code":259},"biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",[261],{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},{"status":33,"locked":14,"version":34,"method":35,"evidence":263},{"candidates":264,"agricultural_evidence":40},[265,270,276,280],{"code":133,"score":246,"supported":40,"title":266,"abstract":268,"tags":269},[267],"ecosystem service",[254],[252,254],{"code":26,"score":13,"supported":40,"title":271,"abstract":272,"tags":275},[],[43,273,44,274],"空间分析","spatial analysis",[23],{"code":48,"score":49,"supported":40,"title":277,"abstract":278,"tags":279},[],[21,52],[251],{"code":281,"score":127,"supported":40,"title":282,"abstract":283,"tags":285},"D",[],[284],"渔业",[],[287,288],"Tiworo流域 土地利用 遥感","Tapio脱钩 农业经济 土地覆盖","Tiworo流域土地利用遥感-5096","10.14246\u002Firspsd.14.4_186",{"doi":290,"openalex_id":292,"authors":293,"venue":241,"cited_by_count":15,"oa_url":306,"card":307,"direction":76,"ingested_from":77},"W7221789653",[294,297,300,303],{"name":295,"orcid":296},"Safril Kasim","https:\u002F\u002Forcid.org\u002F0009-0009-4679-4233",{"name":298,"orcid":299},"Hasddin Hasddin","https:\u002F\u002Forcid.org\u002F0000-0002-0114-5274",{"name":301,"orcid":302},"La Fariki","https:\u002F\u002Forcid.org\u002F0009-0003-7870-9028",{"name":304,"orcid":305},"Abhishek Agarwal","https:\u002F\u002Forcid.org\u002F0000-0002-0900-6383","https:\u002F\u002Fwww.jstage.jst.go.jp\u002Farticle\u002Firspsd\u002F14\u002F4\u002F14_9\u002F_pdf",{"tldr":308,"method":309,"finding":310,"direction":76,"opportunity":311},"分析印尼Tiworo流域2014-2024年土地覆盖变化与部门经济增长的脱钩关系。","遥感与GIS制图，结合GRDP数据和Tapio脱钩弹性指数。","经济持续增长但土地覆盖变化有限，整体呈绝对脱钩，局部红树林退化等生态压力显现。","可将脱钩指数与生态系统服务价值核算结合，量化流域生态压力并支撑空间规划。","2026-10-16T23:30:28.687070Z",{"id":314,"title":315,"url":316,"summary":317,"summary_zh":318,"content":9,"source_name":319,"source_url":316,"published_at":320,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":321,"score_detail":322,"sources":326,"tags":328,"primary_topic":333,"secondary_topics":334,"classification":339,"search_phrases":384,"slug":387,"view_count":134,"doi":9,"paper":388,"created_at":398},5013,"REMOTE SENSING AND GIS-BASED ASSESSMENT OF SOIL SALINITY IN IRRIGATED LANDS: METHODS, CHALLENGES AND PROSPECTS FOR PRECISION AGRICULTURE","http:\u002F\u002Fwww.arabianjournalofscience.com\u002Findex.php\u002Findex\u002Farticle\u002Fview\u002F1223","Soil salinization is a major land degradation process affecting the sustainability of irrigated agriculture, particularly in arid and semi-arid regions. Conventional soil sampling provides essential information about salinity levels but may be insufficient for continuous monitoring of large agricultural territories because of spatial variability, sampling costs, and temporal limitations. Remote sensing (RS) and geographic information systems (GIS) offer complementary approaches for identifying spatial patterns of salinity, monitoring land conditions, and supporting agricultural management. This article examines the scientific and methodological foundations of integrating multispectral satellite imagery, spectral indices, geospatial analysis, and machine learning for soil salinity assessment in irrigated lands. Particular attention is given to Landsat and Sentinel-2 imagery, the interpretation of vegetation and soil reflectance indicators, the role of electrical conductivity measurements in model calibration, and the limitations associated with vegetation cover, soil moisture, and seasonal variability. The analysis indicates that reliable salinity assessment requires the integration of satellite observations with field measurements and environmental variables rather than the isolated application of spectral indices. The article proposes a methodological framework for developing spatially explicit salinity assessment systems applicable to irrigated agricultural landscapes, including those of Central Asia. The framework provides a basis for improving monitoring strategies and supporting evidence-based land management without assuming unverified local measurement results.","土壤盐渍化是影响灌溉农业可持续性的主要土地退化过程，在干旱和半干旱地区尤为突出。传统土壤采样可提供盐分水平的基本信息，但由于空间变异性、采样成本和时间限制，可能不足以对大面积农业区域进行持续监测。遥感（RS）和地理信息系统（GIS）为识别盐渍化空间格局、监测土地状况和支持农业管理提供了互补性方法。本文探讨了整合多光谱卫星影像、光谱指数、地理空间分析和机器学习进行灌溉土地土壤盐渍化评估的科学与方法学基础。文章特别关注Landsat和Sentinel-2影像、植被与土壤反射率指标的解译、电导率测量在模型校准中的作用，以及与植被覆盖、土壤湿度和季节变异性相关的局限性。分析表明，可靠的盐渍化评估需要将卫星观测与野外测量和环境变量相结合，而非孤立地应用光谱指数。本文提出了一个方法学框架，用于开发适用于灌溉农业景观（包括中亚地区）的空间显式盐渍化评估系统。该框架为改进监测策略和支持基于证据的土地管理提供了基础，且不以未经核实的当地测量结果为假设前提。","Arabian journal of science.","2026-10-13T00:00:00Z",74,{"impact":245,"substance":323,"depth":324,"authority":246,"freshness":93,"relevant":81,"comment":325},20,17,"系统综述遥感与GIS在灌溉农田盐渍化评估中的方法框架与挑战，对盐碱地治理和精准农业有参考价值，但属综述性论文，非突破性成果。",[327],{"name":319,"url":316},[329,330,21,331,332],"智慧农业","精准农业","盐碱地治理","土壤监测",{"code":48,"slug":179,"name":180,"path":181,"parent_code":30},[335,336],{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},{"code":119,"slug":123,"name":337,"path":338,"parent_code":259},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"status":33,"locked":14,"version":34,"method":35,"evidence":340},{"candidates":341,"agricultural_evidence":40},[342,347,351,355,361,368,372,378],{"code":48,"score":94,"supported":40,"title":343,"abstract":344,"tags":346},[52],[21,52,345],"multispectral",[21],{"code":26,"score":324,"supported":40,"title":348,"abstract":349,"tags":350},[44],[43,273,44,45],[],{"code":119,"score":168,"supported":40,"title":352,"abstract":353,"tags":354},[123],[122,123],[331],{"code":356,"score":13,"supported":40,"title":357,"abstract":359,"tags":360},"I1",[358],"precision agriculture",[],[329,330],{"code":362,"score":80,"supported":40,"title":363,"abstract":364,"tags":367},"I2",[],[365,366],"机器学习","machine learning",[],{"code":126,"score":127,"supported":40,"title":369,"abstract":370,"tags":371},[],[130],[],{"code":373,"score":127,"supported":40,"title":374,"abstract":375,"tags":377},"H7",[],[376],"干旱",[],{"code":379,"score":127,"supported":40,"title":380,"abstract":381,"tags":383},"I7",[],[382],"methodological framework",[],[385,386],"遥感 GIS 土壤盐渍化","Landsat Sentinel-2 盐分监测","遥感GIS土壤盐渍化-5013",{"doi":9,"openalex_id":389,"authors":390,"venue":319,"cited_by_count":15,"oa_url":316,"card":393,"direction":76,"ingested_from":77},"W7221843179",[391],{"name":392,"orcid":9},"Sadullayev Sardor Zokirjon o'g'li",{"tldr":394,"method":395,"finding":396,"direction":76,"opportunity":397},"综述遥感与GIS评估灌溉地土壤盐渍化的方法、挑战与前景，并提出空间显式评估框架。","整合多光谱卫星影像、光谱指数、GIS空间分析与机器学习，结合电导率校准。","可靠盐渍化评估需卫星观测与实地测量及环境变量融合，而非孤立使用光谱指数。","可探索多源遥感与机器学习融合的盐渍化动态监测，并验证于中亚等干旱灌区。","2026-10-15T23:30:32.401626Z",{"id":400,"title":401,"url":402,"summary":403,"summary_zh":404,"content":9,"source_name":405,"source_url":402,"published_at":242,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":321,"score_detail":406,"sources":409,"tags":411,"primary_topic":416,"secondary_topics":417,"classification":419,"search_phrases":442,"slug":445,"view_count":15,"doi":446,"paper":447,"created_at":457},5008,"ASSESSING THE GEOECOLOGICAL IMPACT OF LARGE HYDRAULIC STRUCTURES IN ARID REGIONS USING REMOTE SENSING AND GIS TECHNOLOGIES (A CASE STUDY OF THE CENTRAL FERGANA RESERVOIR)","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23359723","This article presents a comprehensive study of the geoecological and ameliorative impacts of large hydraulic structures built under arid subtropical conditions on adjacent agricultural landscapes, using the Central Fergana Reservoir (CFR) as a case study. The main objective of the study is to assess landscape changes, the spatial dynamics of vegetation cover, and secondary soil salinization processes across 29,330 hectares within the reservoir’s impact zone between 2010 and 2025 using remote sensing and GIS technologies. The study calculates the Normalized Difference Vegetation Index (NDVI) based on Landsat satellite imagery (Landsat 5 TM, Landsat 8 OLI\u002FTIRS, and Landsat 9 OLI-2) and analyzes long-term changes. The results show that the water surface area expanded from 1% (293.3 ha) in 2010 to 15% (4,399.5 ha) by 2025. Furthermore, analyses of 27 soil profiles and laboratory measurements of electrical conductivity (\\(EC_e\\)) and moisture content confirmed the formation of localized waterlogged areas and highly saline solonchaks in the 500-meter coastal buffer zone as a result of a rise in the groundwater table to 1.0–1.5 m. Environmental stress factors identified through comparative analyses with a control (background) site were scientifically substantiated, and practical recommendations for sustainable regional management were developed.","本文以中央费尔干纳水库（Central Fergana Reservoir, CFR）为例，对干旱亚热带条件下大型水利设施对邻近农业景观的地质生态与土壤改良影响进行了综合研究。研究的主要目标在于利用遥感与GIS技术，评估2010年至2025年间水库影响区内29330公顷土地上的景观变化、植被覆盖空间动态以及次生土壤盐渍化过程。研究基于Landsat卫星影像（Landsat 5 TM、Landsat 8 OLI\u002FTIRS和Landsat 9 OLI-2）计算归一化植被指数（Normalized Difference Vegetation Index, NDVI），并分析其长期变化。结果表明，水域面积从2010年的1%（293.3公顷）扩大至2025年的15%（4399.5公顷）。此外，对27个土壤剖面的分析以及电导率（\\(EC_e\\)）和含水量的实验室测定证实，由于地下水位上升至1.0–1.5米，在500米沿岸缓冲带内形成了局部渍水区和重度盐化盐土。通过与对照（背景）样地的比较分析，科学地证实了所识别的环境胁迫因子，并提出了区域可持续管理的实践建议。","Zenodo (CERN European Organization for Nuclear Research)",{"impact":96,"substance":407,"depth":94,"authority":246,"freshness":97,"relevant":81,"comment":408},22,"基于Landsat长时序遥感与GIS评估干旱区大型水利工程对灌区植被与次生盐渍化的影响，方法规范、数据翔实，对农业遥感与灌区生态监测有参考价值，但属区域案例研究，公共影响有限。",[410],{"name":405,"url":402},[412,21,413,414,415],"农业遥感","水资源管理","灌溉农业","盐渍化",{"code":48,"slug":179,"name":180,"path":181,"parent_code":30},[418],{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},{"status":33,"locked":14,"version":34,"method":35,"evidence":420},{"candidates":421,"agricultural_evidence":40},[422,426,430,434,438],{"code":48,"score":245,"supported":40,"title":423,"abstract":424,"tags":425},[52],[21,52],[412,21],{"code":26,"score":39,"supported":40,"title":427,"abstract":428,"tags":429},[44],[44],[],{"code":119,"score":49,"supported":40,"title":431,"abstract":432,"tags":433},[],[122,123],[415],{"code":373,"score":127,"supported":40,"title":435,"abstract":436,"tags":437},[],[376],[],{"code":126,"score":134,"supported":14,"title":439,"abstract":440,"tags":441},[],[],[413,414],[443,444],"费尔干纳水库 遥感 盐渍化","Landsat NDVI 灌区 土壤盐渍化","费尔干纳水库遥感盐渍化-5008","10.5281\u002Fzenodo.23359723",{"doi":446,"openalex_id":448,"authors":449,"venue":405,"cited_by_count":15,"oa_url":402,"card":452,"direction":76,"ingested_from":77},"W7221819099",[450],{"name":451,"orcid":9},"Akbarov Sarvarbek",{"tldr":453,"method":454,"finding":455,"direction":76,"opportunity":456},"用遥感和GIS评估费尔干纳中部水库对周边农业景观的生态影响。","Landsat影像NDVI分析、27个土壤剖面及ECe与含水量测定。","水库水面从1%扩至15%，500米缓冲带地下水位升至1.0–1.5米，形成盐渍化。","可结合多源遥感与土壤盐分模型，构建干旱区水库周边盐渍化预警与灌溉调控方案。","2026-10-15T23:30:29.814507Z",{"id":459,"title":460,"url":461,"summary":462,"summary_zh":463,"content":9,"source_name":464,"source_url":461,"published_at":465,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":466,"score_detail":467,"sources":469,"tags":471,"primary_topic":474,"secondary_topics":475,"classification":481,"search_phrases":506,"slug":509,"view_count":15,"doi":510,"paper":511,"created_at":526},4753,"Mapping groundwater potential zones using GIS, remote sensing and analytical hierarchy process (AHP) in Pader and Kitgum Districts, Uganda","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs43621-026-04943-7","Groundwater is a crucial source of freshwater in semi-arid regions, particularly in water-stressed areas, such as northern Uganda, where the surface water is scarce and unreliable precipitation patterns changes. This province lacks sufficient clean water for human consumption and only 20% of the water for agriculture extracted from the ground due to inaccessibility and insufficient information regarding the groundwater. With regard to these difficulties in water that are faced by the local communities, it has not been yet studied the distribution of groundwater in Kitgum and Pader districts. Therefore, the result of this research contributes preliminary groundwater investigation for contacting this indispensable source of water. The study employed a geospatial approach integrated with multi-criteria analysis to identify groundwater potential zones in Kitgum and Pader districts of Acholi subregion. The Utilization of Geographic Information Systems (GIS), remote sensing, and the Analytic Hierarchy Process (AHP) and six thematic layers; rainfall, drainage density, slope, soil type, geology, and land use\u002Fland cover were selected based on their hydrogeological influence and the accessibility of the data. After standardizing, and assigning normalized weights,a weighted overlay analysis in ArcGIS Pro version 3.1.0 was used to synthesize these layers into a comprehensive groundwater potential zonation map. The result categorized the study area into five zones; very low, low, medium, high, and very high potential. The analysis revealed that Kitgum District is predominantly characterized by very low to low groundwater potential zones of 67.24% when it is combined both, constrained by factors such as higher drainage density, and steeper slopes. Conversely, Pader District showed favorable conditions, with 85.5% of its area classified as high to very high groundwater potential, attributed to gentle slopes, and higher rainfall, that enhance infiltration capacity. Validation against yield data from 18 existing boreholes demonstrated a 75.0% alignment between the model and actual well performance, confirming the model’s reliability at acceptable result. This study demonstrated the effectiveness of GIS-based and AHP as a cost-effective tool for preliminary groundwater exploration in data-scarce environments. The resulting groundwater potential map provides a vital scientific foundation for sustainable water resource management, enabling targeted borehole siting, informed aquifer development, and resilience-building strategies to enhance water security for communities and livelihoods in the Acholi sub-region.","地下水是半干旱地区重要的淡水来源，尤其是在乌干达北部等水资源紧张地区，那里地表水稀缺且降水模式变化不可靠。该地区缺乏足够的清洁饮用水供人类消费，由于地下水难以获取且信息不足，仅有20%的农业用水来自地下开采。鉴于当地社区面临这些水资源困难，基特古姆和帕德尔地区的地下水分布尚未得到研究。因此，本研究结果为接触这一不可或缺的水源提供了初步的地下水调查。本研究采用地理空间方法与多准则分析相结合，识别阿乔利次区域基特古姆和帕德尔地区的地下水潜力区。利用地理信息系统（GIS）、遥感技术和层次分析法（AHP），基于其水文地质影响和数据可获取性，选取了六个主题图层：降雨量、河网密度、坡度、土壤类型、地质和土地利用\u002F土地覆盖。经过标准化和归一化权重赋值后，使用ArcGIS Pro 3.1.0版本中的加权叠加分析将这些图层综合成一张全面的地下水潜力分区图。结果将研究区划分为五个区域：极低、低、中等、高和极高潜力。分析表明，基特古姆区主要以极低至低地下水潜力区为主，两者合计占67.24%，受较高河网密度和较陡坡度等因素制约。相反，帕德尔区表现出有利条件，其85.5%的面积被归类为高至极高地下水潜力，这归因于平缓的坡度和较高的降雨量，增强了入渗能力。利用18口现有钻孔的出水量数据进行验证，模型与实际井表现之间的一致率达到75.0%，证实了模型在可接受结果范围内的可靠性。本研究证明了基于GIS和AHP的方法作为数据稀缺环境中初步地下水勘探的成本效益工具的有效性。所生成的地下水潜力图为可持续水资源管理提供了重要的科学基础，有助于有针对性地选址钻孔，为知情决策提供依据。","Discover Sustainability","2026-10-10T00:00:00Z",67,{"impact":93,"substance":323,"depth":324,"authority":246,"freshness":97,"relevant":81,"comment":468},"基于GIS、遥感与AHP的乌干达北部地下水潜力制图研究，方法成熟、验证可靠，对缺水地区农业水资源规划有参考价值，但属区域性初步研究，公共影响有限。",[470],{"name":464,"url":461},[21,413,44,472,473],"地下水潜力","乌干达农业",{"code":26,"slug":27,"name":28,"path":29,"parent_code":30},[476,477],{"code":48,"slug":179,"name":180,"path":181,"parent_code":30},{"code":126,"slug":478,"name":479,"path":480,"parent_code":259},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":33,"locked":14,"version":34,"method":35,"evidence":482},{"candidates":483,"agricultural_evidence":40},[484,488,492,498,502],{"code":26,"score":94,"supported":40,"title":485,"abstract":486,"tags":487},[44],[43,44,45],[44],{"code":48,"score":168,"supported":40,"title":489,"abstract":490,"tags":491},[52],[21,52],[21],{"code":126,"score":93,"supported":40,"title":493,"abstract":494,"tags":497},[],[495,496],"水资源","water resource",[472,413],{"code":119,"score":80,"supported":40,"title":499,"abstract":500,"tags":501},[],[122,123],[],{"code":373,"score":127,"supported":40,"title":503,"abstract":504,"tags":505},[],[376],[],[507,508],"乌干达 Kitgum Pader 地下水","GIS AHP 地下水潜力","乌干达KitgumPader地下水-4753","10.1007\u002Fs43621-026-04943-7",{"doi":510,"openalex_id":512,"authors":513,"venue":464,"cited_by_count":15,"oa_url":461,"card":521,"direction":76,"ingested_from":77},"W7221339030",[514,517,519],{"name":515,"orcid":516},"Ahmed Abdirizak Dirie","https:\u002F\u002Forcid.org\u002F0009-0002-8109-0724",{"name":518,"orcid":9},"Abdulkadir Ahmed Mohamed",{"name":520,"orcid":9},"Ambiga Kannapiran",{"tldr":522,"method":523,"finding":524,"direction":76,"opportunity":525},"用GIS、遥感和AHP制图评估乌干达两区地下水潜力并验证。","GIS与遥感结合AHP，加权叠加6个主题图层，用18口井数据验证。","Kitgum区67.24%为低潜力，Pader区85.5%为高潜力，模型与井数据吻合75%。","可将该地下水潜力制图方法迁移到其他数据稀缺区，并结合农业灌溉需求优化井位。","2026-10-12T23:30:24.761508Z"]