[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3068":3,"related-3068":61},{"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":28,"search_phrases":34,"slug":37,"view_count":38,"doi":39,"paper":40,"created_at":60},3068,"MAPPING LAND USE OF BENUE STATE UNIVERSITY, MAKURDI MAIN CAMPUS, BENUE STATE, NIGERIA USING GEOSPATIAL TECHNIQUES","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22865603","This study examined the spatial distribution and extent of land use types within Benue State University (BSU), Makurdi Main Campus, using Geographic Information System (GIS) and remote sensing techniques. Satellite imagery obtained from the National Space Research and Development Agency (NASRDA) was processed and analyzed in ArcGIS 10.8. Land use classification was achieved through on-screen digitization supported by intensive field survey and ground-truthing. The results reveal a heterogeneous land use structure with a total mapped area of 166.69 hectares. Agricultural land use dominates with 20.35%, followed by residential (15.24%) and forest cover (12.29%). Environmentally sensitive land uses, including forestry, green areas, and marshlands, collectively account for 29.18% of the total mapped area, indicating significant ecological value. Institutional land uses (administrative, educational, and religious) account for 15.50%, while commercial and mixed uses constitute 9.29%. The findings highlight a semi-urban institutional landscape undergoing gradual transformation, with increasing development pressures. The study demonstrates the effectiveness of GIS in land use planning and recommends sustainable land management strategies to balance development with environmental conservation.","本研究利用地理信息系统（GIS）和遥感技术，考察了马库尔迪贝努埃州立大学（BSU）主校区内土地利用类型的空间分布与范围。研究对来自国家空间研究与发展局（NASRDA）的卫星影像在ArcGIS 10.8中进行了处理与分析。土地利用分类通过屏幕数字化完成，并辅以密集的实地调查与地面验证。结果显示，该区域土地利用结构具有异质性，总制图面积为166.69公顷。农业用地占主导地位，为20.35%，其次为住宅用地（15.24%）和林地覆盖（12.29%）。环境敏感型土地利用类型，包括林业用地、绿地和沼泽地，合计占总制图面积的29.18%，表明其具有显著的生态价值。机构用地（行政、教育和宗教）占15.50%，而商业和混合用途占9.29%。研究结果凸显出一个正处于逐步转型中的半城市机构景观，其面临日益增大的开发压力。本研究证明了GIS在土地利用规划中的有效性，并建议采取可持续土地管理策略，以平衡开发与环境保护。",null,"Zenodo (CERN European Organization for Nuclear Research)","2026-09-21T00:00:00Z","论文",25,false,56,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},6,16,13,12,9,1,"基于GIS与遥感的校园土地利用分类研究，方法规范、数据具体，但属尼日利亚个案，对国内三农与农业信息化参考价值有限。",[25,26],{"name":10,"url":6},{"name":10,"url":27},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22865602",[29,30,31,32,33],"遥感","土地利用","GIS","土地分类","校园规划",[35,36],"土地分类 土地利用 校园规划 遥感","土地分类 土地利用","土地分类土地利用校园规划遥感-3068",0,"10.5281\u002Fzenodo.22865603",{"doi":39,"openalex_id":41,"authors":42,"venue":10,"cited_by_count":38,"oa_url":6,"card":53,"direction":57,"ingested_from":59},"W7213752705",[43,45,47,49,51],{"name":44,"orcid":9},"Alex S. Ortese",{"name":46,"orcid":9},"Innocent E. Bello",{"name":48,"orcid":9},"I. K. SAMAILA",{"name":50,"orcid":9},"M. ALKALI",{"name":52,"orcid":9},"A. Mahmud",{"tldr":54,"method":55,"finding":56,"direction":57,"opportunity":58},"用GIS和遥感技术绘制尼日利亚贝努埃州立大学主校区土地利用分布图。","NASRDA卫星影像，ArcGIS 10.8屏幕数字化，结合实地调查与地面验证。","农业用地占20.35%居首，环境敏感用地共占29.18%，校园呈半城市化转型压力。","农业遥感与作物表型","可延伸至校园及城郊农业用地动态监测与生态敏感区保护规划研究。","openalex","2026-09-21T23:30:23.914355Z",{"total":17,"page":22,"page_size":17,"items":62},[63,104,148,190,233,270],{"id":64,"title":65,"url":66,"summary":67,"summary_zh":68,"content":9,"source_name":69,"source_url":66,"published_at":70,"category":12,"cover_url":9,"hotness":71,"is_selected":14,"score":72,"score_detail":73,"sources":77,"tags":79,"search_phrases":81,"slug":84,"view_count":38,"doi":85,"paper":86,"created_at":103},2000,"ANALYSIS OF LAND USE LAND COVER CHANGE IN THE GLEN VALLEY IRRIGATION SCHEME OF SOUTH-EASTERN BOTSWANA","https:\u002F\u002Fdoi.org\u002F10.30574\u002Fgjeta.2026.28.3.0228","This study focused on assessing land use land cover (LULC) changes in the Glen Valley Irrigation Scheme of South Eastern Botswana between 2002 and 2022. The study employed remote sensing (RS) and geographic information systems (GIS) tools for analysing LULC changes in the study area during the study period. Landsat 7 ETM+ and Landsat 8 OLI images of 6 February 2002 and 21 February 2022, respectively, were used to detect LULC changes. Image classification was done using a supervised classification approach based on a Maximum Likelihood Classifier. Seven LULC types, namely, Built up, Cultivation, Water body, Sparse vegetation, Moderately dense vegetation, Dense vegetation, and Bare ground, were identified in the area. Post Classification Comparison (PCC) approach was used to detect LULC change during the study period. A pronounced 250 ha increase of cultivated land resulted from 13.2% conversion of sparse vegetation, with adverse implication on greenhouse gas (GHG) emissions and global warming. A noticeable 105 ha increase of Built-up area in the City of Gaborone resulted from 4.3% conversion of sparse vegetation, with implications on land planning process related to rapid urbanization. All changes of LULC types relied on availability of sparse vegetation as a key carbon sink and stabilizer of GHG emissions. Mitigation strategies including conservation agriculture, efficient irrigation and renewable energy are considered necessary.","本研究旨在评估2002年至2022年间博茨瓦纳东南部格伦谷灌溉计划区土地利用\u002F土地覆盖（LULC）的变化。研究采用遥感（RS）和地理信息系统（GIS）工具，对研究期间该区域的土地利用\u002F土地覆盖变化进行分析。分别利用2002年2月6日的Landsat 7 ETM+影像和2022年2月21日的Landsat 8 OLI影像来检测土地利用\u002F土地覆盖变化。影像分类采用基于最大似然分类器的监督分类方法。研究区域内识别出七种土地利用\u002F土地覆盖类型，即建设用地、耕地、水体、稀疏植被、中等密度植被、高密度植被和裸地。采用分类后比较（PCC）方法检测研究期间的土地利用\u002F土地覆盖变化。耕地面积显著增加250公顷，其中13.2%来自稀疏植被的转化，这对温室气体（GHG）排放和全球变暖产生了不利影响。哈博罗内市建设用地面积明显增加105公顷，其中4.3%来自稀疏植被的转化，这对与快速城市化相关的土地规划过程产生了影响。所有土地利用\u002F土地覆盖类型的变化均依赖于稀疏植被作为关键碳汇和温室气体排放稳定器的可用性。研究认为，采取保护性农业、高效灌溉和可再生能源等减缓策略十分必要。","Global Journal of Engineering and Technology Advances","2026-09-08T00:00:00Z",10,58,{"impact":20,"substance":74,"depth":18,"authority":71,"freshness":75,"relevant":22,"comment":76},18,2,"研究利用遥感和GIS分析博茨瓦纳灌溉区土地利用变化，对农业规划有参考价值，但地域偏远且时效性低。",[78],{"name":69,"url":66},[29,30,31,80],"灌溉农业",[82,83],"土地利用 灌溉农业 遥感 GIS","土地利用 灌溉农业","土地利用灌溉农业遥感GIS-2000","10.30574\u002Fgjeta.2026.28.3.0228",{"doi":85,"openalex_id":87,"authors":88,"venue":69,"cited_by_count":38,"oa_url":97,"card":98,"direction":57,"ingested_from":59},"W7211969418",[89,91,93,95],{"name":90,"orcid":9},"Lucia Moroka",{"name":92,"orcid":9},"Benedict Kayombo",{"name":94,"orcid":9},"Matapa Tapela",{"name":96,"orcid":9},"Thembeka Mpuisang","https:\u002F\u002Fgjeta.com\u002Fsites\u002Fdefault\u002Ffiles\u002Ffulltext_pdf\u002FGJETA-2026-0228.pdf",{"tldr":99,"method":100,"finding":101,"direction":57,"opportunity":102},"利用遥感与GIS分析博茨瓦纳Glen Valley灌区2002-2022年土地利用变化，发现耕地和建","采用Landsat影像、监督分类（最大似然法）和分类后比较法分析LULC变化。","耕地增加250公顷，建设用地增加105公顷，主要侵占稀疏植被，影响碳汇和温室气体排放。","可延伸研究灌溉农业扩张对碳汇的影响，结合高分辨率影像和碳模型量化区域碳排放，探索可持续灌溉与土地利用优化策略。","2026-09-09T23:30:22.675859Z",{"id":105,"title":106,"url":107,"summary":108,"summary_zh":109,"content":9,"source_name":110,"source_url":107,"published_at":111,"category":12,"cover_url":9,"hotness":71,"is_selected":14,"score":112,"score_detail":113,"sources":118,"tags":120,"search_phrases":124,"slug":127,"view_count":38,"doi":128,"paper":129,"created_at":147},3060,"Geospatial Intelligence for Peri-Urban Land-Use Conflicts: Evaluating Agricultural Suitability against Rapid Urbanisation using the Analytical Hierarchy Process and Cloud Computing","https:\u002F\u002Fdoi.org\u002F10.59543\u002F6mpcwr41","This paper presents a geospatial multi-criteria evaluation of agricultural potential in the suburban region of Bapatla using eight physical and land-use characteristics: elevation, slope, road accessibility, proximity to water bodies, Land Surface Temperature (LST), Normalised Difference Vegetation Index (NDVI), Land Use\u002FLand Cover (LULC), and soil texture, processed using Google Earth Engine. The Analytic Hierarchy Process (AHP) was used to determine the relative weights of each criterion. NDVI received the highest weight (26.33%), followed by LST, slope, and proximity to water bodies (14.96% each), while elevation received the lowest weight (4.6%) due to the region's flat terrain. Weighted overlay analysis classified the 142.25 km² study area into Suitable (108.90 km²; 76.55%), Not Suitable (32.60 km²; 22.92%), and Highly Suitable (0.75 km²; 0.53%) categories. Suitable areas are mainly distributed across the southern and peripheral agricultural zones, whereas unsuitable areas are concentrated within Bapatla Urban and its surroundings. The limited extent of highly suitable land highlights the scarcity of optimal agricultural sites. The results reveal land-use conflicts driven primarily by urbanisation rather than environmental constraints. The AHP-weighted suitability map provides an evidence-based tool for agricultural land conservation, water-resource management, and sustainable urban expansion.","本文基于八项自然与土地利用特征，对巴帕特拉（Bapatla）郊区农业潜力进行了地理空间多准则评价，这些特征包括：海拔、坡度、道路可达性、距水体远近、地表温度（LST）、归一化植被指数（NDVI）、土地利用\u002F土地覆盖（LULC）以及土壤质地，并利用Google Earth Engine进行处理。采用层次分析法（AHP）确定各准则的相对权重。NDVI权重最高（26.33%），其次为LST、坡度和距水体远近（均为14.96%），而海拔因该地区地形平坦权重最低（4.6%）。加权叠加分析将142.25 km²的研究区划分为适宜（108.90 km²；76.55%）、不适宜（32.60 km²；22.92%）和高适宜（0.75 km²；0.53%）三类。适宜区主要分布于南部及外围农业区，而不适宜区集中于巴帕特拉城区及其周边。高适宜土地面积有限，凸显了优质农业用地的稀缺性。结果表明，土地利用冲突主要由城市化驱动，而非环境限制。基于AHP的适宜性地图为农业用地保护、水资源管理和可持续城市扩张提供了循证工具。","Journal of Urban Intelligence and Smart Systems","2026-09-19T00:00:00Z",70,{"impact":20,"substance":114,"depth":115,"authority":19,"freshness":116,"relevant":22,"comment":117},20,17,8,"该论文利用遥感与AHP方法评估城郊农业用地冲突，方法新颖、数据详实，对农业土地保护有参考价值，但属细分领域研究，影响范围有限。",[119],{"name":110,"url":107},[121,122,123,29,30],"智慧农业","农业遥感","农业信息化",[125,126],"Bapatla 农业用地 城市化","Google Earth Engine 农业适宜性","Bapatla农业用地城市化-3060","10.59543\u002F6mpcwr41",{"doi":128,"openalex_id":130,"authors":131,"venue":110,"cited_by_count":38,"oa_url":140,"card":141,"direction":146,"ingested_from":59},"W7213644047",[132,134,136,138],{"name":133,"orcid":9},"Sreerama Naik Naik S R",{"name":135,"orcid":9},"T K Prasad",{"name":137,"orcid":9},"Feba Jose Jasmine",{"name":139,"orcid":9},"Jayapal G","https:\u002F\u002Fjuiss.org\u002Findex.php\u002Fjuiss\u002Farticle\u002Fdownload\u002F366\u002F231",{"tldr":142,"method":143,"finding":144,"direction":57,"opportunity":145},"用AHP与云平台评估印度Bapatla城郊农业适宜性，揭示城市化引发的土地利用冲突。","Google Earth Engine处理8个因子，AHP加权叠加分析142.2","76.55%区域适宜农业，但高度适宜仅0.53%，冲突主因是城市化而非环境限制。","可引入时序遥感与动态城市扩张模拟，构建城郊农业保护与城市增长协同优化模型。","智慧农业 \u002F 农业物联网","2026-09-21T23:30:09.448414Z",{"id":149,"title":150,"url":151,"summary":152,"summary_zh":153,"content":9,"source_name":154,"source_url":151,"published_at":111,"category":12,"cover_url":9,"hotness":71,"is_selected":14,"score":155,"score_detail":156,"sources":158,"tags":160,"search_phrases":164,"slug":167,"view_count":38,"doi":168,"paper":169,"created_at":189},3020,"Spatial variability of soil fertility indicators using GIS for sustainable land management in Banaskantha district western India","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44378-026-00320-y","Soil fertility assessment is fundamental for sustainable land management and precision agriculture, particularly in semi-arid regions where soil properties exhibit considerable spatial variability. This study investigated the spatial distribution of major soil fertility indicators across Banaskantha district, Gujarat, India, using a systematic 15 × 15 km grid-based sampling approach integrated with Geographic Information System (GIS) analysis and multivariate statistics. A total of 46 geo-referenced composite soil samples were collected from agricultural fields representing all fourteen talukas and analysed for soil moisture, pH, electrical conductivity (EC), organic carbon (OC), available nitrogen (AvN), available phosphorus (AvP), and available potassium (AvK). GIS-based Inverse Distance Weighting (IDW) interpolation was employed to visualize the regional distribution of soil properties, while Pearson correlation analysis and Principal Component Analysis (PCA) were used to examine relationships among soil fertility indicators and identify the major factors influencing soil variability. The results revealed substantial spatial heterogeneity across the district, with alkaline and saline soils predominantly occurring in the western region, whereas comparatively higher soil moisture and organic carbon were observed in the eastern and northern areas. Available phosphorus was generally deficient throughout the district, while available nitrogen and potassium exhibited pronounced spatial variation associated with parent material, land use, and agricultural management practices. PCA identified salinity-related factors and organic matter–nutrient interactions as the principal contributors to soil fertility variability. The generated spatial distribution maps provide valuable baseline information for identifying nutrient-deficient zones and understanding regional patterns of soil fertility. Although the proposed nutrient management strategies require further validation through field-based agronomic studies, the integration of laboratory soil analysis, GIS, and multivariate statistical techniques provides an effective framework for regional soil fertility assessment and supports informed decision-making for sustainable land management in semi-arid environments.","土壤肥力评估是可持续土地管理和精准农业的基础，尤其是在土壤属性表现出显著空间变异性的半干旱地区。本研究采用基于15 × 15 km网格的系统采样方法，结合地理信息系统（GIS）分析和多元统计方法，调查了印度古吉拉特邦巴纳斯坎塔县主要土壤肥力指标的空间分布。共从代表全部十四个乡的农田中采集了46个地理参照复合土壤样品，并分析了土壤水分、pH、电导率（EC）、有机碳（OC）、有效氮（AvN）、有效磷（AvP）和有效钾（AvK）。采用基于GIS的反距离加权（IDW）插值法可视化土壤属性的区域分布，同时运用Pearson相关分析和主成分分析（PCA）考察土壤肥力指标之间的关系，并识别影响土壤变异性的主要因素。结果表明，该县土壤存在显著的空间异质性，碱性和盐渍化土壤主要分布在西部地区，而东部和北部地区土壤水分和有机碳相对较高。有效磷在整个县域普遍缺乏，而有效氮和有效钾则表现出与母质、土地利用和农业管理措施相关的显著空间变异。PCA识别出盐分相关因子和有机质—养分相互作用是土壤肥力变异性的主要贡献因素。所生成的空间分布图为识别养分缺乏区和理解土壤肥力区域格局提供了有价值的基线信息。尽管所提出的养分管理策略需要通过田间农艺研究进一步验证，但实验室土壤分析、GIS和多元统计技术的整合为区域土壤肥力评估提供了有效框架，并为半干旱环境下可持续土地管理的科学决策提供了支持。","Discover Soil.",65,{"impact":116,"substance":114,"depth":18,"authority":20,"freshness":21,"relevant":22,"comment":157},"基于GIS与多元统计的区域土壤肥力空间变异研究，方法规范、数据翔实，对精准农业与可持续土地管理有参考价值，但属区域性案例，公共影响有限。",[159],{"name":154,"url":151},[161,162,29,31,163],"精准农业","可持续农业","土壤肥力",[165,166],"Banaskantha 土壤肥力 GIS","印度 半干旱区 土壤养分","Banaskantha土壤肥力GIS-3020","10.1007\u002Fs44378-026-00320-y",{"doi":168,"openalex_id":170,"authors":171,"venue":154,"cited_by_count":38,"oa_url":151,"card":183,"direction":188,"ingested_from":59},"W7213587271",[172,175,177,179,181],{"name":173,"orcid":174},"Mukesh P. Chaudhari","https:\u002F\u002Forcid.org\u002F0009-0000-2187-2375",{"name":176,"orcid":9},"Ruchi Nair",{"name":178,"orcid":9},"Pratik Chavda",{"name":180,"orcid":9},"Dharmik Patel",{"name":182,"orcid":9},"Divya Mishra",{"tldr":184,"method":185,"finding":186,"direction":57,"opportunity":187},"用GIS与多元统计评估印度半干旱区Banaskantha土壤肥力指标的空间变异。","15×15 km网格采样46个样点，结合IDW插值、Pearson相关与PCA分","西部土壤偏碱盐化，东部北部有机碳较高，全区分区有效磷普遍缺乏。","可结合遥感植被指数与机器学习提升半干旱区土壤肥力制图精度并验证养分管理策略。","农业人工智能与决策模型","2026-09-20T23:30:43.716518Z",{"id":191,"title":192,"url":193,"summary":194,"summary_zh":195,"content":9,"source_name":196,"source_url":193,"published_at":197,"category":12,"cover_url":9,"hotness":71,"is_selected":14,"score":198,"score_detail":199,"sources":202,"tags":204,"search_phrases":208,"slug":211,"view_count":38,"doi":212,"paper":213,"created_at":232},2943,"SPATIO-TEMPORAL DYNAMICS OF LAND USE AND LAND COVER IN A GRANITE QUARRYING AREA IN MANÉAH, GUINEA: A REMOTE SENSING AND GIS-BASED ANALYSIS FROM 1980 TO 2024","https:\u002F\u002Fdoi.org\u002F10.30574\u002Fgscarr.2026.28.3.0222","Quarrying is a major driver of transformation in peri-urban areas, particularly in spaces experiencing both rapid urbanization and increasing pressure on natural resources. This study analyzes the spatio-temporal dynamics of land cover in the urban commune of Manéah, Guinea, between 1980, 2020, and 2024, in order to characterize the territorial changes associated with the development of extractive activities and urban expansion. The methodological approach relies on the use of multi-temporal satellite imagery, its processing in a GIS environment, supervised classification of the main land cover classes, diachronic analysis of changes, construction of a transition matrix, and evaluation of the quality of the classifications using the Kappa index. The results highlight a profound transformation of the landscape. Between 1980 and 2024, the proportion of built-up areas increased from 7.22% to 32.67%, a rise of 25.45 percentage points, while quarries and construction sites, absent in 1980, represented 2.05% of the territory in 2024, after reaching 7.50% in 2020. Conversely, cultivated land and fallow land increased overall by 18.58 percentage points. In contrast, natural formations experienced a sharp decline: shrub savannas decreased from 40.50% to 1.73%, bodies of water from 31.46% to 11.30%, and mangroves from 8.85% to 0.84%. The Kappa values of 0.76, 0.79, and 0.82 indicate a satisfactory agreement between the classifications. These changes reflect the increasing human impact on the territory, resulting from the combined effects of urbanization, agriculture, and extractive activities. The change matrix also confirms a structural recomposition of the territory, with built-up areas increasing from 963.406 ha to 4,357.55 ha, while shrub savannas decreased from 5,401.819 ha to only 230.389 ha over the entire study period. The study thus highlights the need to further integrate remote sensing data and GIS tools into land-use planning, environmental monitoring, and the spatial management of quarries in Manéah.","采石活动是城郊地区转型的主要驱动力，尤其是在同时经历快速城市化和自然资源压力加剧的区域。本研究分析了几内亚马内阿（Manéah）城市公社在1980年、2020年和2024年的土地覆盖时空动态，以刻画与采掘活动发展和城市扩张相关的领土变化。研究方法依赖于多时相卫星影像的使用、在GIS环境中的处理、主要土地覆盖类别的监督分类、变化的历史对比分析、转移矩阵的构建，以及利用Kappa指数评估分类质量。结果揭示了景观的深刻转变。1980年至2024年间，建成区比例从7.22%增至32.67%，上升了25.45个百分点；而采石场和建筑工地1980年尚不存在，2020年达到7.50%，2024年占领土的2.05%。相反，耕地和休耕地总体增加了18.58个百分点。相比之下，自然 formations 急剧减少：灌木草原从40.50%降至1.73%，水体从31.46%降至11.30%，红树林从8.85%降至0.84%。Kappa值分别为0.76、0.79和0.82，表明分类之间具有令人满意的一致性。这些变化反映了人类对领土日益加剧的影响，这是城市化、农业和采掘活动共同作用的结果。变化矩阵也证实了领土的结构性重组，建成区从963.406公顷增至4，357.55公顷，而灌木草原在整个研究期内从5，401.819公顷降至仅230.389公顷。因此，本研究强调了进一步将遥感数据和GIS工具纳入马内阿的土地利用规划、环境监测和采石场空间管理的必要性。","GSC Advanced Research and Reviews","2026-09-18T00:00:00Z",60,{"impact":116,"substance":74,"depth":200,"authority":71,"freshness":21,"relevant":22,"comment":201},15,"基于多时相遥感与GIS的矿区土地利用变化研究，方法规范、数据翔实，但地域性强、与国内农业信息化关联有限，可作为遥感应用案例参考。",[203],{"name":196,"url":193},[205,206,30,31,207],"城镇化","遥感监测","矿区生态",[209,210],"Manéah 几内亚 土地利用","遥感 GIS 采石场 土地覆盖","Manéah几内亚土地利用-2943","10.30574\u002Fgscarr.2026.28.3.0222",{"doi":212,"openalex_id":214,"authors":215,"venue":196,"cited_by_count":38,"oa_url":193,"card":227,"direction":57,"ingested_from":59},"W7213550535",[216,218,220,223,225],{"name":217,"orcid":9},"Sogbè KEITA",{"name":219,"orcid":9},"Mamady Minata CONDÉ",{"name":221,"orcid":222},"Ibrahima Thiam","https:\u002F\u002Forcid.org\u002F0000-0001-8553-1043",{"name":224,"orcid":9},"Lucien SOLIE",{"name":226,"orcid":9},"Alpha Issaga Pallé Diallo",{"tldr":228,"method":229,"finding":230,"direction":57,"opportunity":231},"基于遥感与GIS分析几内亚Manéah采石区1980-2024年土地利用与覆盖的时空变化。","多时相卫星影像、GIS监督分类、变化矩阵与Kappa精度评价。","建设用地由7.22%升至32.67%，灌丛草原由40.50%降至1.73%，采石场2024年占2.0","可延伸至采石与城市化对周边农地、红树林的耦合影响及生态修复监测研究。","2026-09-19T23:30:32.836654Z",{"id":234,"title":235,"url":236,"summary":237,"summary_zh":238,"content":9,"source_name":239,"source_url":236,"published_at":240,"category":12,"cover_url":9,"hotness":71,"is_selected":14,"score":38,"score_detail":241,"sources":243,"tags":245,"search_phrases":247,"slug":250,"view_count":38,"doi":251,"paper":252,"created_at":269},2793,"Delineation of groundwater potential zones using analytical hierarchy process and GIS in Bhilangana Block of Tehri Garhwal District, Uttarakhand, India","https:\u002F\u002Fdoi.org\u002F10.33765\u002Fthate.16.4.4","Groundwater is one of the most reliable freshwater resources globally, but overexploitation has led to declining water tables, deteriorating water quality, and increased water scarcity. These problems have raised serious questions about how sustainable groundwater management can be achieved. In recent times, geospatial techniques and the Analytical Hierarchy Process (AHP) have been increasingly applied to assess groundwater availability. This research aims to delineate groundwater potential zones in the Bhilangana Block using the above-mentioned methods. Initially, remote sensing data were employed to generate thematic layers, including geomorphology, geology, slope, elevation, drainage density, lineament density, soil, rainfall, and land use\u002Fland cover. Subsequently, these layers were integrated using a multi-criteria evaluation approach, and weights were assigned using AHP-based weighted overlay analysis. The resulting groundwater potential zones were classified into five categories: very low and low (over 45 %), moderate (35.05 %), high (16.66 %), and very high (3.81 %). The findings of this research offer insights into groundwater occurrence in the study area, which could be helpful for sustainable groundwater management and long-term planning of water resources.","地下水是全球最可靠的淡水资源之一，但过度开采已导致地下水位下降、水质恶化以及水资源短缺加剧。这些问题引发了关于如何实现可持续地下水管理的严肃思考。近年来，地理空间技术和层次分析法（Analytical Hierarchy Process, AHP）越来越多地被应用于地下水可获得性评估。本研究旨在利用上述方法圈定Bhilangana区块的地下水潜力区。首先，利用遥感数据生成专题图层，包括地貌、地质、坡度、高程、河网密度、线性构造密度、土壤、降雨以及土地利用\u002F土地覆盖。随后，采用多准则评价方法整合这些图层，并利用基于AHP的加权叠加分析分配权重。所得到的地下水潜力区被划分为五类：极低和低（超过45 %）、中等（35.05 %）、高（16.66 %）以及极高（3.81 %）。本研究结果有助于认识研究区地下水的赋存情况，可为可持续地下水管理和水资源长期规划提供参考。","The holistic approach to environment","2026-09-16T00:00:00Z",{"impact":38,"substance":38,"depth":38,"authority":38,"freshness":38,"relevant":38,"comment":242},"该论文研究印度北阿坎德邦地下水潜力区划，属水文地质与遥感应用领域，与三农、农业信息化、智慧农业等主题无直接关联，不建议进入每日精选。",[244],{"name":239,"url":236},[29,246,31],"水资源管理",[248,249],"水资源管理 遥感 GIS","水资源管理 遥感","水资源管理遥感GIS-2793","10.33765\u002Fthate.16.4.4",{"doi":251,"openalex_id":253,"authors":254,"venue":239,"cited_by_count":38,"oa_url":263,"card":264,"direction":57,"ingested_from":59},"W7213317885",[255,258,261],{"name":256,"orcid":257},"Siddharth Rana","https:\u002F\u002Forcid.org\u002F0009-0006-5304-3233",{"name":259,"orcid":260},"Gaurav Gaurav","https:\u002F\u002Forcid.org\u002F0000-0001-8857-5797",{"name":262,"orcid":9},"Mohan Singh Panwar","https:\u002F\u002Fcasopis.hrcpo.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FRana-et-al_HAE_16_2026_4.pdf",{"tldr":265,"method":266,"finding":267,"direction":57,"opportunity":268},"用AHP与GIS遥感数据划分印度Bhilangana区块地下水潜力区。","遥感专题图层+AHP加权叠加多准则评价。","潜力区以低和极低为主（超45%），极高仅3.81%。","可结合灌溉需求与作物分布，将地下水潜力图用于农业用水优化与井位选址。","2026-09-17T23:30:36.203631Z",{"id":271,"title":272,"url":273,"summary":274,"summary_zh":275,"content":9,"source_name":276,"source_url":273,"published_at":277,"category":12,"cover_url":9,"hotness":71,"is_selected":14,"score":278,"score_detail":279,"sources":282,"tags":284,"search_phrases":287,"slug":290,"view_count":38,"doi":291,"paper":292,"created_at":310},2784,"Monitoring & Evaluating of Urban Expansion and Its Impact on Land use Land Cover Change of Sargodha, Pakistan (2000-2025)","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fjgst.2.9(s).2026.624","Urban growth is a significant land-use transition that is taking place in many rapidly growing cities, especially where the expansion is taking place on productive agricultural land. The purpose of this research was to explore the Spatio-temporal pattern of urban expansion and changes in land use\u002Fland cover (LULC) in Sargodha Tehsil, Pakistan, for the period 2000-2025. This study used the remote sensing and GIS techniques to analyze the satellite imageries of 6 years. These years include 2000, 2005, 2010, 2015, 2020 and 2025. The study area covered an expanse of 1536 km² and comprised four land use\u002Fland cover (LULC) classes, including agricultural land, built-up area, barren land, and water bodies. The study used supervised classification Maximum likelihood classifier (MLC) to identify the dominant land use and land cover types and determine the percentage of the region that was covered by each class. The results show that there is a growing trend in the built-up area throughout the years. It increased from 115 km² in 2000 to 180 km² in 2005, 233 km² in 2010, 297 km² in 2015, 361 km² in 2020, and 440 km² in 2025. Thus, it can be stated that there was an increase in the built-up area by 325 km² or 282.6% over the studied period. In contrast, the amount of farmland decreased from 1,014 km² to 815 km² or 199 km². The area of barren land decreased as well from 280 km² to 153 km². At the same time, there was no significant change in the amount of water bodies from 127 km² to 128 km². Findings reveal a significant change from a primarily agricultural region to a region with a considerable presence of developed areas and emphasize the increasing pressure on productive land. The research underlines the significance of planned urbanization, protection of productive agricultural lands, regular geospatial monitoring, and appropriate management of the periphery belt.","城市增长是许多快速发展的城市正在经历的重要土地利用转变，尤其是在生产力较高的农业用地上发生扩张的地区。本研究旨在探讨巴基斯坦萨戈达县（Sargodha Tehsil）2000—2025年期间城市扩张的时空格局及土地利用\u002F土地覆盖（LULC）变化。本研究采用遥感与GIS技术，对6个年份的卫星影像进行了分析，包括2000年、2005年、2010年、2015年、2020年和2025年。研究区面积为1536 km²，涵盖四种土地利用\u002F土地覆盖（LULC）类型，包括农业用地、建设用地、裸地和水体。研究采用监督分类中的最大似然分类器（MLC）识别主要土地利用与土地覆盖类型，并确定各类型所占区域百分比。结果表明，建设用地面积在各年份间呈持续增长趋势，从2000年的115 km²增至2005年的180 km²、2010年的233 km²、2015年的297 km²、2020年的361 km²，以及2025年的440 km²。因此可以认为，在研究期间建设用地面积增加了325 km²，增幅达282.6%。相比之下，农田面积从1014 km²减少至815 km²，减少了199 km²。裸地面积也从280 km²减少至153 km²。与此同时，水体面积从127 km²变化至128 km²，没有显著变化。研究结果揭示了该区域从以农业为主向建设用地显著增加的区域发生了重大转变，并凸显了生产性土地日益增大的压力。本研究强调了有计划城市化、保护生产性农业用地、定期地理空间监测以及对外围地带进行适当管理的重要性。","Journal of Global Social Transformation","2026-09-17T00:00:00Z",55,{"impact":116,"substance":74,"depth":280,"authority":17,"freshness":21,"relevant":22,"comment":281},14,"基于遥感与GIS的巴基斯坦城市扩张对农用地影响研究，数据翔实但属区域案例，对国内三农信息化参考价值有限。",[283],{"name":276,"url":273},[285,206,30,31,286],"耕地保护","城市扩张",[288,289],"土地利用 城市扩张 耕地保护 遥感监测","土地利用 城市扩张","土地利用城市扩张耕地保护遥感监测-2784","10.71317\u002Fjgst.2.9(s).2026.624",{"doi":291,"openalex_id":293,"authors":294,"venue":276,"cited_by_count":38,"oa_url":273,"card":305,"direction":57,"ingested_from":59},"W7213443079",[295,297,300,302],{"name":296,"orcid":9},"Muhammad Israr",{"name":298,"orcid":299},"Omar Riaz","https:\u002F\u002Forcid.org\u002F0000-0002-5391-109X",{"name":301,"orcid":9},"Muhammad Safeer Hussain",{"name":303,"orcid":304},"Muhammad Imran","https:\u002F\u002Forcid.org\u002F0000-0003-4072-4997",{"tldr":306,"method":307,"finding":308,"direction":57,"opportunity":309},"用遥感与GIS分析巴基斯坦萨戈达2000-2025年城市扩张及土地利用变化。","6期Landsat影像，最大似然监督分类，提取四类LULC并统计面积。","建设用地增325km²（282.6%），耕地减199km²，城市扩张大量侵占优质农田。","可结合耕地质量与作物生产力数据，量化城市扩张对农业产能的具体损失并构建预警模型。","2026-09-17T23:30:34.285631Z"]