[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3787":3,"related-3787":77},{"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":22,"primary_topic":27,"secondary_topics":33,"classification":34,"search_phrases":57,"slug":60,"view_count":61,"doi":62,"paper":63,"created_at":76},3787,"Applied Geography for Sustainable Regional Development in Maharashtra: Potentials, Challenges and Strategic Directions","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23013796","Abstract: Applied Geography refers to the practical application of geographical knowledge, concepts, techniques and spatial analysis to contemporary social, economic and environmental problems. Maharashtra exhibits considerable regional variations in physical resources, population distribution, agriculture, urbanisation, infrastructure, transportation, health services and economic development. These spatial variations create both opportunities and challenges for balanced regional development. The present study examines the role of Applied Geography in sustainable regional development in Maharashtra, with particular emphasis on regional planning, agricultural development, urbanisation, natural-resource management, disaster management, transportation, tourism and accessibility to public services. The study is primarily based on secondary data obtained from government reports, Census publications, planning documents, geographical literature and institutional sources. It highlights the potential application of Geographic Information System (GIS), Remote Sensing, GPS, spatial statistics and geospatial modelling in evidence-based regional planning. The study also identifies major challenges, including regional disparities, environmental degradation, unplanned urban growth, climate-related hazards, infrastructure gaps and unequal access to resources and services. It proposes an integrated geographical framework based on spatial planning, sustainable resource utilisation, geospatial technologies, community participation and regional coordination. The study concludes that Applied Geography can make a significant contribution to achieving balanced, inclusive and sustainable regional development in Maharashtra.","摘要：应用地理学是指将地理知识、概念、技术及空间分析实际应用于当代社会、经济与环境问题。马哈拉施特拉邦在自然资源、人口分布、农业、城市化、基础设施、交通运输、卫生服务及经济发展等方面呈现出显著的区域差异。这些空间差异为区域均衡发展既带来了机遇，也构成了挑战。本研究考察应用地理学在马哈拉施特拉邦可持续区域发展中的作用，重点关注区域规划、农业发展、城市化、自然资源管理、灾害管理、交通运输、旅游业及公共服务可及性。本研究主要基于来自政府报告、人口普查出版物、规划文件、地理学文献及机构来源的二手数据。研究强调了地理信息系统（GIS）、遥感、全球定位系统（GPS）、空间统计及地理空间建模在循证区域规划中的潜在应用。研究还识别了主要挑战，包括区域差距、环境退化、城市无序扩张、气候相关灾害、基础设施缺口以及资源与服务获取不均等。研究提出了一个基于空间规划、可持续资源利用、地理空间技术、社区参与和区域协调的综合地理框架。研究结论认为，应用地理学可为马哈拉施特拉邦实现均衡、包容和可持续的区域发展作出重要贡献。",null,"Zenodo (CERN European Organization for Nuclear Research)","2026-09-30T00:00:00Z","论文",25,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"研究印度马哈拉施特拉邦的区域地理规划，与三农、农业信息化、数字乡村等主题无直接关联，不建议进入每日精选。",[19,20],{"name":10,"url":6},{"name":10,"url":21},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23013797",[23,24,25,26],"遥感","GIS","应用地理学","区域发展规划",{"code":28,"slug":29,"name":30,"path":31,"parent_code":32},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",[],{"status":35,"locked":14,"version":36,"method":37,"evidence":38},"classified","2026-10-22.2","rules",{"candidates":39,"agricultural_evidence":42},[40,50],{"code":28,"score":41,"supported":42,"title":43,"abstract":44,"tags":49},10,true,[],[45,46,24,47,48],"地理信息","空间分析","spatial analysis","geographic information",[24],{"code":51,"score":52,"supported":42,"title":53,"abstract":54,"tags":56},"I3",7,[],[23,55],"remote sensing",[23],[58,59],"马哈拉施特拉邦 区域发展","应用地理学 遥感","马哈拉施特拉邦区域发展-3787",3,"10.5281\u002Fzenodo.23013796",{"doi":62,"openalex_id":64,"authors":65,"venue":10,"cited_by_count":15,"oa_url":6,"card":68,"direction":74,"ingested_from":75},"W7214632446",[66],{"name":67,"orcid":9},"M. D. Shaikh",{"tldr":69,"method":70,"finding":71,"direction":72,"opportunity":73},"综述应用地理学在马哈拉施特拉邦可持续区域发展中的作用、潜力与挑战。","基于政府报告、普查等二手数据，结合GIS、遥感和空间统计进行评述。","应用地理学与地理空间技术可支撑均衡、包容和可持续的区域发展。","数字乡村与农业信息化","可延伸至农业空间规划与乡村服务可达性的地理空间决策支持研究。","农业遥感与作物表型","openalex","2026-09-29T23:30:28.115123Z",{"total":78,"page":79,"page_size":78,"items":80},6,1,[81,155,232,308,377,461],{"id":82,"title":83,"url":84,"summary":85,"summary_zh":86,"content":9,"source_name":87,"source_url":84,"published_at":88,"category":12,"cover_url":9,"hotness":41,"is_selected":14,"score":89,"score_detail":90,"sources":97,"tags":99,"primary_topic":103,"secondary_topics":104,"classification":105,"search_phrases":135,"slug":138,"view_count":15,"doi":139,"paper":140,"created_at":154},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":91,"substance":92,"depth":93,"authority":94,"freshness":95,"relevant":79,"comment":96},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。",[98],{"name":87,"url":84},[23,100,101,24,102],"土地利用","土壤侵蚀","水土保持",{"code":28,"slug":29,"name":30,"path":31,"parent_code":32},[],{"status":35,"locked":14,"version":36,"method":37,"evidence":106},{"candidates":107,"agricultural_evidence":42},[108,112,116,123,129],{"code":28,"score":41,"supported":42,"title":109,"abstract":110,"tags":111},[],[45,24,48],[24],{"code":51,"score":52,"supported":42,"title":113,"abstract":114,"tags":115},[],[23,55],[23],{"code":117,"score":78,"supported":42,"title":118,"abstract":119,"tags":122},"H2",[],[120,121],"土壤","soil",[],{"code":124,"score":61,"supported":42,"title":125,"abstract":126,"tags":128},"H3",[],[127],"灌溉",[],{"code":130,"score":131,"supported":14,"title":132,"abstract":133,"tags":134},"H6",2,[],[],[100,102],[136,137],"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":139,"openalex_id":141,"authors":142,"venue":87,"cited_by_count":15,"oa_url":9,"card":148,"direction":74,"ingested_from":75},"W7223117733",[143,145],{"name":144,"orcid":9},"MERİÇ KURT",{"name":146,"orcid":147},"Celal ŞENOL","https:\u002F\u002Forcid.org\u002F0000-0003-0857-866X",{"tldr":149,"method":150,"finding":151,"direction":152,"opportunity":153},"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":156,"title":157,"url":158,"summary":159,"summary_zh":160,"content":9,"source_name":161,"source_url":158,"published_at":162,"category":12,"cover_url":9,"hotness":41,"is_selected":14,"score":163,"score_detail":164,"sources":167,"tags":169,"primary_topic":173,"secondary_topics":174,"classification":179,"search_phrases":208,"slug":211,"view_count":15,"doi":212,"paper":213,"created_at":231},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":91,"substance":92,"depth":165,"authority":41,"freshness":95,"relevant":79,"comment":166},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。",[168],{"name":161,"url":158},[23,24,170,171,172],"农用地适宜性","土地覆被","孟加拉农业",{"code":28,"slug":29,"name":30,"path":31,"parent_code":32},[175],{"code":51,"slug":176,"name":177,"path":178,"parent_code":32},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"status":35,"locked":14,"version":36,"method":37,"evidence":180},{"candidates":181,"agricultural_evidence":42},[182,186,190,197,204],{"code":28,"score":92,"supported":42,"title":183,"abstract":184,"tags":185},[24],[45,24,48],[24],{"code":51,"score":165,"supported":42,"title":187,"abstract":188,"tags":189},[55],[23,55],[23],{"code":191,"score":78,"supported":42,"title":192,"abstract":193,"tags":196},"A1",[],[194,195],"稻米","rice",[],{"code":198,"score":78,"supported":42,"title":199,"abstract":200,"tags":203},"G",[],[201,202],"农村发展","rural development",[],{"code":117,"score":78,"supported":42,"title":205,"abstract":206,"tags":207},[],[120,121],[],[209,210],"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":212,"openalex_id":214,"authors":215,"venue":225,"cited_by_count":15,"oa_url":158,"card":226,"direction":74,"ingested_from":75},"W7222895468",[216,218,220,222],{"name":217,"orcid":9},"Raju Ahmed",{"name":219,"orcid":9},"Shaikh Mehdee Mohammad",{"name":221,"orcid":9},"Ummul Momanin Coalee",{"name":223,"orcid":224},"Khandakar Hasan Mahmud","https:\u002F\u002Forcid.org\u002F0000-0003-1222-0791","The Bangladesh Rural Development Studies",{"tldr":227,"method":228,"finding":229,"direction":74,"opportunity":230},"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":233,"title":234,"url":235,"summary":236,"summary_zh":237,"content":9,"source_name":238,"source_url":235,"published_at":239,"category":12,"cover_url":9,"hotness":41,"is_selected":14,"score":240,"score_detail":241,"sources":246,"tags":248,"primary_topic":252,"secondary_topics":253,"classification":260,"search_phrases":287,"slug":290,"view_count":15,"doi":291,"paper":292,"created_at":307},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":91,"substance":242,"depth":243,"authority":244,"freshness":95,"relevant":79,"comment":245},20,17,13,"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。",[247],{"name":238,"url":235},[23,249,24,250,251],"水资源管理","地下水潜力","乌干达农业",{"code":28,"slug":29,"name":30,"path":31,"parent_code":32},[254,255],{"code":51,"slug":176,"name":177,"path":178,"parent_code":32},{"code":124,"slug":256,"name":257,"path":258,"parent_code":259},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",{"status":35,"locked":14,"version":36,"method":37,"evidence":261},{"candidates":262,"agricultural_evidence":42},[263,267,271,277,281],{"code":28,"score":92,"supported":42,"title":264,"abstract":265,"tags":266},[24],[45,24,48],[24],{"code":51,"score":165,"supported":42,"title":268,"abstract":269,"tags":270},[55],[23,55],[23],{"code":124,"score":91,"supported":42,"title":272,"abstract":273,"tags":276},[],[274,275],"水资源","water resource",[250,249],{"code":117,"score":78,"supported":42,"title":278,"abstract":279,"tags":280},[],[120,121],[],{"code":282,"score":61,"supported":42,"title":283,"abstract":284,"tags":286},"H7",[],[285],"干旱",[],[288,289],"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":291,"openalex_id":293,"authors":294,"venue":238,"cited_by_count":15,"oa_url":235,"card":302,"direction":74,"ingested_from":75},"W7221339030",[295,298,300],{"name":296,"orcid":297},"Ahmed Abdirizak Dirie","https:\u002F\u002Forcid.org\u002F0009-0002-8109-0724",{"name":299,"orcid":9},"Abdulkadir Ahmed Mohamed",{"name":301,"orcid":9},"Ambiga Kannapiran",{"tldr":303,"method":304,"finding":305,"direction":74,"opportunity":306},"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",{"id":309,"title":310,"url":311,"summary":312,"summary_zh":313,"content":9,"source_name":314,"source_url":311,"published_at":315,"category":12,"cover_url":9,"hotness":41,"is_selected":14,"score":316,"score_detail":317,"sources":320,"tags":322,"primary_topic":325,"secondary_topics":326,"classification":327,"search_phrases":346,"slug":349,"view_count":79,"doi":350,"paper":351,"created_at":376},4585,"Integrated multi-criteria decision analysis and bivariate statistical modeling for landslide susceptibility zonation in the northwestern Ethiopian highlands","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44475-026-00073-w","Landslides represent a critical geo-environmental hazard in the Ethiopian highlands, specifically within the Telemt, Janamora, and Beyeda districts, where they frequently result in fatalities and the destruction of vital infrastructure and agricultural land. This study integrated Geographic Information Systems (GIS) and remote sensing data to perform landslide susceptibility mapping (LSM) using two distinct modeling approaches: the Frequency Ratio (FR) and the Analytical Hierarchy Process (AHP). A total of 140 data points (98 for training (70%) and 42 for testing (30%)) were considered for modeling and validation. Eleven geo-environmental conditioning factors: Slope, rainfall, lithology, density of lineaments, curvature, aspect, normalized difference vegetation index, land use\u002Fland cover, distance to drainage, drainage density, and soil were analyzed to evaluate their influence on landslide occurrence. According to the AHP model, 13.69% and 26.91% of the study area were classified as very high and high susceptibility zones, respectively. In comparison, the FR model identified 12.09% as very high and 23.78% as high susceptibility zones. Both models underscored that steep slopes, porphyritic basalt unit, high lineament density, proximity to drainage systems, and concave terrain curvature are the primary drivers of slope instability. Conversely, gentle slopes, sandstone unit, and dense vegetation cover were strongly associated with low-susceptibility regions. Model performance was validated using the Receiver Operating Characteristic (ROC) curve, yielding an Area Under the Curve (AUC) value of 0.812 for the AHP model and 0.793 for the FR model, alongside a prediction rate AUC value of 77.4% (0.774) for the AHP model and 70.4% for the FR model, confirming the predictive reliability of both methods. These results provide essential geospatial intelligence for policy-makers and stakeholders to guide disaster risk management, sustainable land-use planning, and targeted rehabilitation efforts in the region.","滑坡是埃塞俄比亚高地，特别是Telemt、Janamora和Beyeda地区面临的严重地质环境灾害，频繁造成人员伤亡以及重要基础设施和农田的破坏。本研究综合地理信息系统（GIS）和遥感数据，采用频率比（FR）和层次分析法（AHP）两种不同的建模方法进行滑坡易发性制图（LSM）。建模与验证共考虑了140个数据点（98个用于训练（70%），42个用于测试（30%））。分析了十一个地质环境条件因子：坡度、降雨量、岩性、线理密度、曲率、坡向、归一化植被指数、土地利用\u002F土地覆被、距水系距离、水系密度和土壤，以评估它们对滑坡发生的影响。根据AHP模型，研究区分别有13.69%和26.91%的区域被划分为极高和高易发区。相比之下，FR模型将12.09%的区域划为极高易发区，23.78%划为高易发区。两种模型均强调，陡坡、斑状玄武岩单元、高线理密度、邻近水系以及凹形地形曲率是斜坡失稳的主要驱动因素。相反，缓坡、砂岩单元和茂密植被覆盖与低易发区密切相关。采用受试者工作特征（ROC）曲线对模型性能进行验证，AHP模型的曲线下面积（AUC）值为0.812，FR模型为0.793，同时AHP模型的预测率AUC值为77.4%（0.774），FR模型为70.4%，证实了两种方法的预测可靠性。这些结果为政策制定者和利益相关者提供了重要的地理空间情报，可指导该地区的灾害风险管理、可持续土地利用规划和有针对性的修复工作。","Discover Hazards","2026-10-09T00:00:00Z",64,{"impact":91,"substance":242,"depth":318,"authority":94,"freshness":91,"relevant":79,"comment":319},16,"GIS与遥感结合的滑坡易发性制图研究，方法规范、数据扎实，对农业灾害风险管理和土地规划有参考价值，但属区域性案例，公共影响有限。",[321],{"name":314,"url":311},[23,100,24,323,324],"灾害风险","滑坡易发性",{"code":28,"slug":29,"name":30,"path":31,"parent_code":32},[],{"status":35,"locked":14,"version":36,"method":37,"evidence":328},{"candidates":329,"agricultural_evidence":42},[330,334,338,342],{"code":28,"score":41,"supported":42,"title":331,"abstract":332,"tags":333},[],[45,24,48],[24],{"code":51,"score":52,"supported":42,"title":335,"abstract":336,"tags":337},[],[23,55],[23],{"code":117,"score":78,"supported":42,"title":339,"abstract":340,"tags":341},[],[120,121],[],{"code":130,"score":79,"supported":14,"title":343,"abstract":344,"tags":345},[],[],[100],[347,348],"埃塞俄比亚高原 滑坡易发性","GIS 遥感 滑坡风险制图","埃塞俄比亚高原滑坡易发性-4585","10.1007\u002Fs44475-026-00073-w",{"doi":350,"openalex_id":352,"authors":353,"venue":314,"cited_by_count":15,"oa_url":311,"card":371,"direction":74,"ingested_from":75},"W7221122595",[354,357,359,361,363,365,367,369],{"name":355,"orcid":356},"Engdaw Gulbet Tebege","https:\u002F\u002Forcid.org\u002F0009-0008-4252-1249",{"name":358,"orcid":9},"Belete Getahun",{"name":360,"orcid":9},"Yohannes Dessalegn Girma",{"name":362,"orcid":9},"Yibeltal Awoke Temeche",{"name":364,"orcid":9},"Worku Birhan Fenklew",{"name":366,"orcid":9},"Ayalnesh Mihrete Tagele",{"name":368,"orcid":9},"Gashaw Tesfaw Chekole",{"name":370,"orcid":9},"Muluken Mintesinot",{"tldr":372,"method":373,"finding":374,"direction":74,"opportunity":375},"用GIS与遥感结合FR和AHP模型，对埃塞俄比亚高原滑坡易发性进行分区制图与验证。","GIS与遥感数据，11个孕灾因子，频率比与层次分析法，ROC曲线验证。","AHP精度略高（AUC 0.812），陡坡、玄武岩、高线密度与近水系为主要致灾因子。","可将滑坡易发性与农田地块、作物分布叠加，评估农业用地风险并支撑山区土地整治决策。","2026-10-10T23:30:27.880607Z",{"id":378,"title":379,"url":380,"summary":381,"summary_zh":382,"content":9,"source_name":10,"source_url":380,"published_at":383,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":384,"score_detail":385,"sources":388,"tags":392,"primary_topic":396,"secondary_topics":397,"classification":404,"search_phrases":435,"slug":438,"view_count":15,"doi":439,"paper":440,"created_at":460},4294,"GIS- and Remote Sensing-Based Identification of Suitable Agricultural Waste Landfill Sites for Climate-Smart Agriculture in Ilorin, Nigeria","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23168428","Abstract Lack of a designated landfill for agricultural waste management (AWM) in Ilorin municipalities led to indiscriminate disposal of agricultural waste within the city and the only existing Sokoto-Ayekale general solid waste dumpsite, posing environmental and public health risks while undermining climate-smart agriculture (CSA). The study identifies suitable landfill sites for AWM by integrating Geographic Information System (GIS), Remote Sensing (RS), and Multi-Criteria Decision Analysis (MCDA) to locate environmentally and climate-resilient sites. Spatial data employed for the study include Shuttle Radar Topography Mission (SRTM), Landsat 9 imagery, Digital Elevation Model (DEM), road networks, waterbodies, built-up areas, soil quality, slope, and geology, which were processed in ArcGIS 10.3 to develop constraint thematic suitability maps. The Analytical Hierarchy Process (AHP) was employed to derive criterion weights, and the Weighted Linear Combination (WLC) was used to generate the map. AHP consistency ratio (CR) was used to validate the model’s consistency (CR=0.016), which falls within the acceptable CR \u003C0.1. The AHP weighted results were 0.41, 0.2, 0.14, 0.10, 0.08, and 0.07 for waterbodies, built-up area, slope, soil quality, geology, and road network, respectively. Maps were created for each criterion, reclassified, and integrated using the weighted linear combination method to generate an overall AWM suitability map. The study identified four potential locations for AWM. Approximately 507.23 km² are unsuitable, 1204.21 km² are marginally suitable, 4899.28 km² are moderately suitable, and 2021.7 km² are highly suitable for AWM landfill development. The findings present a scientifically based decision-support framework to guide policymakers, environmental agencies, and urban planners in developing sustainable AWM strategies that minimize environmental risk while advancing climate-smart agriculture. Keywords: Agricultural waste, Climate-smart agriculture, Landfill, Suitability, Sustainability","摘要 伊洛林各市镇缺乏用于农业废弃物管理（AWM）的指定填埋场，导致农业废弃物在城市内部及唯一现有的索科托-阿耶卡莱一般固体废弃物倾倒场被随意处置，既构成环境和公共健康风险，也削弱了气候智慧型农业（CSA）。本研究通过整合地理信息系统（GIS）、遥感（RS）和多准则决策分析（MCDA），识别适用于AWM的填埋场选址，以确定具有环境韧性和气候韧性的场址。研究采用的空间数据包括航天飞机雷达地形测绘任务（SRTM）数据、Landsat 9影像、数字高程模型（DEM）、道路网络、水体、建成区、土壤质量、坡度和地质，并在ArcGIS 10.3中进行处理以生成约束性专题适宜性图。采用层次分析法（AHP）推导准则权重，并运用加权线性组合（WLC）生成地图。使用AHP一致性比率（CR）验证模型的一致性（CR=0.016），该值处于可接受的CR\u003C0.1范围内。AHP加权结果分别为：水体0.41、建成区0.2、坡度0.14、土壤质量0.10、地质0.08、道路网络0.07。针对每个准则生成地图，经重分类后采用加权线性组合方法进行整合，生成总体AWM适宜性图。研究确定了四个潜在的AWM选址。约507.23 km²不适宜，1204.21 km²勉强适宜，4899.28 km²中等适宜，2021.7 km²高度适宜建设AWM填埋场。研究结果为政策制定者、环境机构和城市规划者提供了基于科学的决策支持框架，以指导制定可持续的AWM策略，在降低环境风险的同时推进气候智慧型农业。关键词：农业废弃物，气候智慧型农业，填埋场，适宜性，可持续性","2026-10-05T00:00:00Z",72,{"impact":94,"substance":386,"depth":243,"authority":244,"freshness":95,"relevant":79,"comment":387},21,"GIS与遥感结合MCDA为农业废弃物填埋选址提供决策框架，方法规范、数据翔实，但属区域性案例研究，公共影响有限。",[389,390],{"name":10,"url":380},{"name":10,"url":391},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23168429",[23,393,394,24,395],"农业废弃物","气候智慧农业","选址评估",{"code":28,"slug":29,"name":30,"path":31,"parent_code":32},[398,403],{"code":399,"slug":400,"name":401,"path":402,"parent_code":259},"H5","waste","面源污染与废弃物利用","\u002Ftopic\u002Fenvironment\u002Fwaste",{"code":51,"slug":176,"name":177,"path":178,"parent_code":32},{"status":35,"locked":14,"version":36,"method":37,"evidence":405},{"candidates":406,"agricultural_evidence":42},[407,411,416,420,427,431],{"code":28,"score":92,"supported":42,"title":408,"abstract":409,"tags":410},[24],[45,24,48],[24],{"code":399,"score":165,"supported":42,"title":412,"abstract":414,"tags":415},[413],"agricultural waste",[393,413],[393],{"code":51,"score":165,"supported":42,"title":417,"abstract":418,"tags":419},[55],[23,55],[23],{"code":421,"score":422,"supported":42,"title":423,"abstract":425,"tags":426},"I1",11,[424],"smart agriculture",[424],[],{"code":117,"score":78,"supported":42,"title":428,"abstract":429,"tags":430},[],[120,121],[],{"code":282,"score":79,"supported":14,"title":432,"abstract":433,"tags":434},[],[],[394],[436,437],"Ilorin 农业废弃物 填埋场 选址","GIS 遥感 农业废弃物 填埋场","Ilorin农业废弃物填埋场选址-4294","10.5281\u002Fzenodo.23168428",{"doi":439,"openalex_id":441,"authors":442,"venue":10,"cited_by_count":15,"oa_url":380,"card":454,"direction":459,"ingested_from":75},"W7220389353",[443,445,447,449,452],{"name":444,"orcid":9},"Saheed Mohammed Ishaq",{"name":446,"orcid":9},"Alamin Adedeji Adenekan",{"name":448,"orcid":9},"Ibrahim Dauda",{"name":450,"orcid":451},"Afeez Oladeji Amoo","https:\u002F\u002Forcid.org\u002F0000-0002-0412-9333",{"name":453,"orcid":9},"Nureni Babatunde Amoo",{"tldr":455,"method":456,"finding":457,"direction":152,"opportunity":458},"用GIS、遥感和多准则决策为尼日利亚Ilorin筛选农业废弃物填埋场适宜选址。","GIS\u002FRS结合AHP与加权线性组合，基于DEM、Landsat 9等空间数据。","识别出4处潜在选址，约2021.7 km²高度适宜，模型一致性良好。","可将该选址框架与温室气体排放、运输成本及气候情景耦合，拓展到其他区域。","智慧农业 \u002F 农业物联网","2026-10-06T23:30:07.715522Z",{"id":462,"title":463,"url":464,"summary":465,"summary_zh":466,"content":9,"source_name":467,"source_url":464,"published_at":11,"category":12,"cover_url":9,"hotness":41,"is_selected":14,"score":468,"score_detail":469,"sources":471,"tags":473,"primary_topic":475,"secondary_topics":476,"classification":478,"search_phrases":498,"slug":501,"view_count":131,"doi":502,"paper":503,"created_at":514},4102,"Application of GIS and Remote Sensing Techniques in Geospatial Mapping of Gully Statuses of an Alfisols in Yola South Local Government Area, Adamawa State","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fwjimt.v10.no1.2026.pg155.165","This research work saddled to study the application of GIS and Remote Sensing (RS) Techniques in geospatial mapping of gully erosion statuses of an Alfisols in Yola South LGA. Bole farmland was selected where expansion and development of gully was geospatially mapped out for the period of 20 years (2004-2024) at interval of five (5) years using GIS and RS techniques. The results reveal a concerning trend of increasing gully erosion, with significant growth in affected areas over the years. The highest percentage of increase occurred at 2014-2019 with about 58,069.00 m2 (65.5 %) and in 2019-2024was increased with 14,154.00 m2 (15.97 %). The total area affected in the area within the study period was 88,627.00 m2 caused by heavy rainfall and deforestation. Therefore, there are needs for effective land management practices, policy interventions, and community engagement to mitigate the effects of gully erosion.","本研究旨在探讨GIS与遥感（RS）技术在约拉南部地方政府区淋溶土冲沟侵蚀状况地理空间制图中的应用。选取博莱农田为研究区，利用GIS与遥感技术，以5年为间隔，对2004—2024年共20年间冲沟的扩展与发育进行了地理空间制图。结果表明，冲沟侵蚀呈令人担忧的加剧趋势，受影响面积逐年显著增长。增幅最大的时段为2014—2019年，约增加58 069.00 m²（65.5%）；2019—2024年增加14 154.00 m²（15.97%）。研究期内该区域受影响总面积为88 627.00 m²，主要由强降雨和森林砍伐所致。因此，需要采取有效的土地管理措施、政策干预和社区参与，以减轻冲沟侵蚀的影响。","WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY",54,{"impact":91,"substance":92,"depth":93,"authority":78,"freshness":91,"relevant":79,"comment":470},"基于GIS与遥感的20年沟蚀动态监测，数据具体、结论明确，但属区域案例研究，公共影响有限。",[472],{"name":467,"url":464},[474,23,101,24,102],"数字乡村",{"code":51,"slug":176,"name":177,"path":178,"parent_code":32},[477],{"code":28,"slug":29,"name":30,"path":31,"parent_code":32},{"status":35,"locked":14,"version":36,"method":37,"evidence":479},{"candidates":480,"agricultural_evidence":42},[481,485,489,493],{"code":51,"score":165,"supported":42,"title":482,"abstract":483,"tags":484},[55],[23,55],[23],{"code":28,"score":94,"supported":42,"title":486,"abstract":487,"tags":488},[24],[24],[24],{"code":130,"score":79,"supported":14,"title":490,"abstract":491,"tags":492},[],[],[102],{"code":494,"score":79,"supported":14,"title":495,"abstract":496,"tags":497},"I6",[],[],[474],[499,500],"Yola South 沟蚀 遥感","Alfisols 沟蚀 GIS 制图","YolaSouth沟蚀遥感-4102","10.56201\u002Fwjimt.v10.no1.2026.pg155.165",{"doi":502,"openalex_id":504,"authors":505,"venue":467,"cited_by_count":15,"oa_url":508,"card":509,"direction":74,"ingested_from":75},"W7214920253",[506],{"name":507,"orcid":9},"Mohammed Pakra Umar","https:\u002F\u002Fiiardjournals.org\u002Fget\u002FWJIMT\u002FVOL. 10 NO. 1 2026\u002FAPPLICATION OF GIS AND REMOTE 156-165.pdf",{"tldr":510,"method":511,"finding":512,"direction":74,"opportunity":513},"用GIS和遥感技术对尼日利亚Yola South地区20年沟蚀动态进行空间制图与监测。","基于GIS与遥感影像，按5年间隔提取2004-2024年沟蚀范围并计算面积变化。","沟蚀面积持续扩大，2014-2019年增幅最大达65.5%，20年累计影响88,627平方米。","可结合多源高分辨率遥感与机器学习，构建沟蚀风险预警模型并评估保护性耕作等治理措施效果。","2026-10-03T23:30:37.949646Z"]