[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3069":3,"related-3069":63},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"search_phrases":32,"slug":35,"view_count":36,"doi":37,"paper":38,"created_at":62},3069,"Impact of Urbanization on Agriculture and Wetland Management in Makurdi LGA of Benue State, Nigeria","https:\u002F\u002Fdoi.org\u002F10.65757\u002Fhjev1n22","Wetlands are among the most productive ecosystems, providing essential ecological, hydrological, and socio-economic services, including flood regulation, groundwater recharge, water purification, biodiversity conservation, and agricultural support. However, rapid urbanization has accelerated the conversion of wetlands to built-up areas and agricultural land, threatening their ecological integrity. This study assessed the impact of urbanization on agriculture and wetland management in Makurdi Local Government Area, Benue State, over a twenty-year period (2004–2024). The specific objectives were to examine the spatial distribution and extent of wetlands, evaluate the relationship between urban growth and wetland dynamics, and determine the extent of wetland encroachment resulting from urban development. The study employed Geographic Information Systems (GIS) and Remote Sensing techniques using Landsat 7 ETM+, Landsat 8 OLI\u002FTIRS, and Landsat 9 OLI-2\u002FTIRS-2 satellite imagery acquired for 2004, 2014, and 2024. Image preprocessing, supervised classification, change detection, cross-tabulation matrix analysis, and accuracy assessment were performed in ArcGIS and ERDAS Imagine, while field observations and GPS data were used for ground-truthing and validation. Seven land-use\u002Fland-cover classes were identified: wetlands, farmland, shrubland, forest, water bodies, sandbars, and settlements. The findings revealed significant land-use and land-cover changes over the study period. Wetland coverage declined from 4,478.76 ha (5.37%) in 2004 to 2,664.36 ha (2.39%) in 2024, while settlements expanded from 1,182.60 ha (1.42%) to 5,119.22 ha (4.61%) during the same period. Farmland increased from 39.23% to 41.09%, indicating continued conversion of natural ecosystems to agricultural and urban uses. Cross-tabulation analysis further demonstrated substantial transitions of wetlands and farmlands into settlement areas, confirming that urban expansion has become a major driver of wetland degradation in Makurdi. Classification accuracy assessments yielded overall accuracies ranging from 72.15% to 75.93%, with Kappa coefficients between 0.60 and 0.68, indicating that the classified maps were sufficiently reliable for land-use change analysis. The study concludes that rapid urbanization has significantly contributed to wetland loss and fragmentation and has increasingly encroached on agricultural lands, posing serious threats to ecosystem sustainability, biodiversity conservation, flood regulation, and long-term food security. To address these challenges, the study recommends strengthening wetland protection policies, implementing continuous GIS-based monitoring, promoting sustainable urban development, and establishing institutional frameworks to conserve and effectively manage wetlands and agricultural lands in Makurdi","湿地是最具生产力的生态系统之一，提供重要的生态、水文和社会经济服务，包括洪水调节、地下水补给、水质净化、生物多样性保护和农业支持。然而，快速城市化加速了湿地向建成区和农业用地的转化，威胁其生态完整性。本研究评估了贝努埃州马库尔迪地方政府区二十年期间（2004—2024年）城市化对农业和湿地管理的影响。具体目标包括：考察湿地的空间分布与范围，评估城市增长与湿地动态之间的关系，并确定城市发展导致的湿地侵占程度。研究采用地理信息系统（GIS）和遥感技术，使用2004年、2014年和2024年的Landsat 7 ETM+、Landsat 8 OLI\u002FTIRS和Landsat 9 OLI-2\u002FTIRS-2卫星影像。在ArcGIS和ERDAS Imagine中进行了影像预处理、监督分类、变化检测、交叉列联表矩阵分析和精度评估，同时利用实地观测和GPS数据进行地面验证与确认。研究识别出七类土地利用\u002F土地覆盖类型：湿地、农田、灌丛、森林、水体、沙洲和居民点。研究结果显示，研究期间土地利用和土地覆盖发生了显著变化。湿地覆盖面积从2004年的4,478.76公顷（5.37%）下降至2024年的2,664.36公顷（2.39%），而居民点面积同期从1,182.60公顷（1.42%）扩张至5,119.22公顷（4.61%）。农田面积从39.23%增至41.09%，表明自然生态系统持续向农业和城市用途转化。交叉列联表分析进一步表明，湿地和农田大量转变为居民点用地，证实城市扩张已成为马库尔迪湿地退化的主要驱动因素。分类精度评估的总体精度为72.15%至75.93%，Kappa系数在0.60至0.68之间，表明分类图对于土地利用变化分析具有足够的可靠性。研究认为，快速城市化显著加剧了湿地丧失和破碎化，并日益侵占农业用地，对生态系统可持续性、生物多样性保护",null,"Hensard Journal of Environment","2026-09-20T00:00:00Z","论文",10,false,56,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,18,15,6,9,1,"基于Landsat遥感与GIS的尼日利亚湿地退化实证研究，数据扎实但属区域案例，公共影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"粮食安全","遥感监测","土地利用","城市化","湿地保护",[33,34],"Makurdi 湿地 城市化","Benue State 遥感","Makurdi湿地城市化-3069",0,"10.65757\u002Fhjev1n22",{"doi":37,"openalex_id":39,"authors":40,"venue":10,"cited_by_count":36,"oa_url":6,"card":55,"direction":59,"ingested_from":61},"W7213745048",[41,43,45,47,49,51,53],{"name":42,"orcid":9},"Joy Iganya Agene",{"name":44,"orcid":9},"Onoja Sunday",{"name":46,"orcid":9},"Akintunde Elijah",{"name":48,"orcid":9},"Ugese Ayangeaor Andrew",{"name":50,"orcid":9},"Kebiru Umoru",{"name":52,"orcid":9},"Aku Umaku Esther",{"name":54,"orcid":9},"Ombugu Gideon",{"tldr":56,"method":57,"finding":58,"direction":59,"opportunity":60},"用遥感与GIS评估尼日利亚马库尔迪20年间城市化对湿地和农业用地的侵占影响。","Landsat 7\u002F8\u002F9影像，监督分类、变化检测与交叉表分析，GPS实地验证。","湿地占比由5.37%降至2.39%，建设用地由1.42%升至4.61%，城市化是湿地退化主因。","农业遥感与作物表型","可结合多源高分辨率遥感与CA-Markov模型，预测湿地-农田-城市冲突并支撑国土空间优化。","openalex","2026-09-21T23:30:24.084401Z",{"total":20,"page":22,"page_size":20,"items":64},[65,96,122,159,188,230],{"id":66,"title":67,"url":68,"summary":69,"summary_zh":70,"content":9,"source_name":71,"source_url":68,"published_at":72,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":36,"score_detail":73,"sources":75,"tags":77,"search_phrases":78,"slug":81,"view_count":36,"doi":82,"paper":83,"created_at":95},2307,"Population Growth and Environmental Impacts of Changing Land use And Landcover in the FCC, Abuja, Nigeria","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijgem.vol.12.no3.2026.pg80.87","This study examined the trend in population growth in the Federal Capital City between 1994 and 2024, as well as the environmental impacts of changing land use and landcover (LULC). Population datasets of the study area were acquired from the National Population Commission (NPC) and used to examine population trend in the last thirty (30) years using quantitative techniques. Questionnaire was used to elicit the perceived environmental impact of changing LULC in the the study area. The study established that FCC in 1994 had a population of 125,125 people with 11.55% at the growth rate of 3.68%. In 2004 the population was 198,866 at the rate of 3.70% with a change of 73,741 people representing 20.76%. In 2014 at the rate of 3.74%, the population was 299,991 people with an increase of 101,125 people representing 31.32% growth. Lastly, in 2024 at the growth rate of 3.75%, the population increased to 458,884people with increase of 158,893 people representing 47.91%. The study further established climate change, Biodiversity loss, altered hydrological cycles, soil degradation and pollution as the major environmental impact of LULC change as a result of urbanization processes. The study therefore recommended; introduction and further expansion of family planning policies to control birth rate, incorporate the use of remote sensing and GIS in its entire sectors to enhance data sharing and monitoring and planning for a better and sustainable development. In addition, incorporating the use of geo-tech analysis (remote sensing and GIS) in its entire sectors to enhance data sharing and monitoring of a better and sustainable development is recommended. There should also be a strict adherence to land use control measures in order to strike a balance between economic development and eco-system conservation, constantly monitor land developments activities; to check land resource degradation and improving management through involvement of local communities.","本研究考察了1994年至2024年间联邦首都区的人口增长趋势，以及土地利用与土地覆盖（LULC）变化所带来的环境影响。研究区域的人口数据集来自国家人口委员会（NPC），并采用定量技术分析了过去三十（30）年的人口趋势。研究使用问卷来获取研究区域LULC变化对环境影响的感知。研究确定，1994年联邦首都区人口为125,125人，增长率为3.68%，增幅为11.55%。2004年人口为198,866人，增长率为3.70%，变化人数为73,741人，占20.76%。2014年，在3.74%的增长率下，人口为299,991人，增加101,125人，占31.32%的增长。最后，2024年在3.75%的增长率下，人口增至458,884人，增加158,893人，占47.91%。研究进一步确定，气候变化、生物多样性丧失、水文循环改变、土壤退化以及污染是城市化进程导致LULC变化的主要环境影响。因此，研究建议：引入并进一步扩展计划生育政策以控制出生率；在其所有部门中纳入遥感和GIS的应用，以加强数据共享、监测和规划，从而实现更好和可持续的发展。此外，建议在其所有部门中纳入地理技术分析（遥感和GIS）的应用，以加强数据共享和监测，促进更好和可持续的发展。还应严格遵守土地利用控制措施，以在经济开发与生态系统保护之间取得平衡，持续监测土地开发活动；通过地方社区参与来遏制土地资源退化并改善管理。","IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT","2026-09-10T00:00:00Z",{"impact":36,"substance":36,"depth":36,"authority":36,"freshness":36,"relevant":36,"comment":74},"研究对象为尼日利亚阿布贾土地利用与人口增长，与三农、农业信息化及中国数字乡村议题无直接关联，不建议进入每日精选。",[76],{"name":71,"url":68},[28,29,30],[79,80],"土地利用 遥感监测 城市化","土地利用 遥感监测","土地利用遥感监测城市化-2307","10.56201\u002Fijgem.vol.12.no3.2026.pg80.87",{"doi":82,"openalex_id":84,"authors":85,"venue":71,"cited_by_count":36,"oa_url":88,"card":89,"direction":94,"ingested_from":61},"W7212143894",[86],{"name":87,"orcid":9},"Innocent E. Bello","https:\u002F\u002Fiiardjournals.org\u002Fget\u002FIJGEM\u002FVOL. 12 NO. 3 2026\u002FPOPULATION GROWTH AND ENVIRONMENTAL 80-87.pdf",{"tldr":90,"method":91,"finding":92,"direction":59,"opportunity":93},"研究尼日利亚阿布贾30年人口增长与土地利用变化的环境影响。","用NPC人口数据、问卷及遥感GIS分析LULC变化。","人口从12.5万增至45.9万，引发气候变化、生物多样性丧失等环境问题。","可结合遥感GIS与人口数据，构建土地利用变化环境影响的动态监测与预警模型。","智慧农业 \u002F 农业物联网","2026-09-13T23:30:11.160057Z",{"id":97,"title":98,"url":99,"summary":100,"summary_zh":101,"content":9,"source_name":71,"source_url":99,"published_at":72,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":36,"score_detail":102,"sources":104,"tags":106,"search_phrases":107,"slug":108,"view_count":36,"doi":109,"paper":110,"created_at":121},2166,"Household Survey and Geospatial Analysis of Urban Land Use Changes in Uyo Capital City, Akwa Ibom State","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijgem.vol.12.no3.2026.pg117.137","This study provides a comprehensive assessment of urban expansion in Uyo Capital City from 1986 to 2024, utilizing remote sensing, GIS, and socio-economic analysis. The findings reveal substantial land use\u002Fland cover transformations, particularly the decline in forest cover and agricultural land, and a significant increase in built-up areas. NDVI analysis confirmed a notable reduction in vegetation due to infrastructural development. Population and economic growth emerged as the dominant drivers of urban expansion, corroborated by weighted average analysis, while secondary factors such as infrastructure and policy also contributed. Farmland loss was and land use transformations was identified as the most critical impact, underscoring threats to food security and ecosystem services. The spatial pattern of urbanization followed a concentric model driven by road infrastructure and socio-economic dynamics, with pronounced growth in southeastern Uyo and surrounding LGAs. Future projections using the MOLLUSC model suggest that by 2050, built-up areas will increase by 79%, with corresponding declines in agricultural land, forests, and water bodies. These findings call for proactive, sustainable land-use strategies and integrated urban planning to address the challenges posed by rapid urbanization, ensuring ecological sustainability, socio economic equity, and spatial resilience in Uyo Capital City and similar urbanizing regions.","本研究综合运用遥感、地理信息系统（GIS）和社会经济分析，对1986年至2024年间乌约首府城市的城市扩张进行了全面评估。研究结果揭示了土地利用\u002F土地覆盖的显著变化，尤其是森林覆盖和农业用地的减少，以及建成区面积的大幅增加。归一化植被指数（NDVI）分析证实，基础设施建设导致植被明显减少。人口和经济增长成为城市扩张的主要驱动力，加权平均分析对此予以佐证，而基础设施和政策等次要因素亦有所贡献。农田流失和土地利用转型被确定为最突出的影响，凸显了对粮食安全和生态系统服务的威胁。城市化空间格局遵循以道路基础设施和社会经济动态为驱动的同心圆模式，乌约东南部及周边地方政府区域增长尤为显著。基于MOLLUSC模型的未来预测表明，到2050年，建成区面积将增加79%，农业用地、森林和水体相应减少。这些发现呼吁采取积极主动的可持续土地利用策略和综合城市规划，以应对快速城市化带来的挑战，确保乌约首府城市及类似城市化地区的生态可持续性、社会经济公平和空间韧性。",{"impact":36,"substance":36,"depth":36,"authority":36,"freshness":36,"relevant":36,"comment":103},"研究尼日利亚乌约市城市扩张与农地流失，属城市地理与遥感领域，与三农、农业信息化主题关联薄弱，不建议进入每日精选。",[105],{"name":71,"url":99},[28,29,30],[79,80],"土地利用遥感监测城市化-2166","10.56201\u002Fijgem.vol.12.no3.2026.pg117.137",{"doi":109,"openalex_id":111,"authors":112,"venue":71,"cited_by_count":36,"oa_url":115,"card":116,"direction":59,"ingested_from":61},"W7212186540",[113],{"name":114,"orcid":9},"D. U. Elijah","https:\u002F\u002Fiiardjournals.org\u002Fget\u002FIJGEM\u002FVOL. 12 NO. 3 2026\u002FHOUSEHOLD SURVEY AND GEOSPATIAL 117-137.pdf",{"tldr":117,"method":118,"finding":119,"direction":59,"opportunity":120},"结合遥感、GIS与入户调查，分析尼日利亚Uyo市1986-2024年城市扩张及其驱动与影响。","遥感、GIS、NDVI、入户调查与MOLLUSC模型预测。","建设用地大增、林农地减少，人口经济是主因，2050年建设用地将再增79%。","可将城市扩张与耕地流失耦合建模，评估粮食安全与生态服务权衡，服务城乡规划。","2026-09-11T23:30:30.079525Z",{"id":123,"title":124,"url":125,"summary":126,"summary_zh":127,"content":9,"source_name":128,"source_url":125,"published_at":129,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":36,"score_detail":130,"sources":132,"tags":134,"search_phrases":137,"slug":140,"view_count":36,"doi":141,"paper":142,"created_at":158},3071,"Urban Influence on Landscape Transformation and Land Cover Interactions During Urban Expansion (1972–2022): A Remote Sensing and GIS-Based Analysis","https:\u002F\u002Fdoi.org\u002F10.2478\u002Fjlecol-2026-0038","Abstract This study investigates how urban expansion influences land cover dynamics. An interactive analytical approach was adopted to examine the transitions among built-up areas, cropland, and bare land throughout the urbanization process. Remote Sensing and GIS techniques, in conjunction with the Land Transfer Matrix (LTM), Landscape Metrics (LM), Multi-buffer Ring (MBR) and complementary spatial tools, were employed to analyze the city of Tiaret in Algeria over the past half century (1972-2022). The results reveal a marked intensification of urbanization, with an Overall Average Annual Urban Expansion Rate (OA-AUER) of 28.3 ha and a concurrent rise in bare land driven by cropland conversion under urban pressure. Notably, 89.4 % of cropland loss initially transitions into bare land, while subsequent urban development originates from cropland (52 %) and bare land (47 %). The observed density patterns in peripheral areas confirm the significant influence of the urban core on surrounding land-cover transformations. These findings elucidate the urbanization process while considering the transitional role of bare land and further explain diffusion coalescence process. Further empirical research is recommended to refine theoretical frameworks on landscape transformation dynamics and to inform policies aimed at mitigating bare-land expansion in peri-urban areas, controlling cropland urbanization, and planning sustainable urban growth.","摘要 本研究探讨城市扩张如何影响土地覆盖动态。采用交互式分析方法，考察城市化进程中建成区、耕地和裸地之间的转换。运用遥感与地理信息系统技术，结合土地转移矩阵（LTM）、景观格局指数（LM）、多缓冲环（MBR）及辅助空间工具，对阿尔及利亚提亚雷特市过去半个世纪（1972—2022年）的变化进行了分析。结果表明，城市化显著加剧，年均城市扩张总面积率（OA-AUER）为28.3公顷，同时在城市压力下耕地转换导致裸地同步增加。值得注意的是，89.4%的耕地损失最初转变为裸地，而随后的城市发展来源于耕地（52%）和裸地（47%）。外围区域观测到的密度格局证实了城市核心对周边土地覆盖变化的显著影响。这些发现阐明了城市化过程，同时考虑了裸地的过渡性作用，并进一步解释了扩散聚合过程。建议开展进一步实证研究，以完善景观转型动态的理论框架，并为旨在减缓城郊地区裸地扩张、控制耕地城市化以及规划可持续城市增长的政策提供依据。","Journal of Landscape Ecology","2026-09-19T00:00:00Z",{"impact":36,"substance":36,"depth":36,"authority":36,"freshness":36,"relevant":36,"comment":131},"该论文聚焦阿尔及利亚Tiaret市城市扩张与土地覆盖变化，属城市地理与遥感应用研究，与三农、农业信息化、智慧农业主题无直接关联，不建议进入每日精选。",[133],{"name":128,"url":125},[135,28,29,136],"耕地保护","城市扩张",[138,139],"Tiaret 城市扩张 遥感","耕地 建设用地 转移矩阵","Tiaret城市扩张遥感-3071","10.2478\u002Fjlecol-2026-0038",{"doi":141,"openalex_id":143,"authors":144,"venue":128,"cited_by_count":36,"oa_url":152,"card":153,"direction":59,"ingested_from":61},"W7213652939",[145,147,149],{"name":146,"orcid":9},"Amina Kalbaza",{"name":148,"orcid":9},"Belkacem Marir",{"name":150,"orcid":151},"Farida Naceur","https:\u002F\u002Forcid.org\u002F0009-0004-1962-4937","https:\u002F\u002Freference-global.com\u002Fdownload\u002Farticle\u002F10.2478\u002Fjlecol-2026-0038.pdf",{"tldr":154,"method":155,"finding":156,"direction":59,"opportunity":157},"基于遥感与GIS分析阿尔及利亚提亚雷特1972—2022年城市扩张对景观与土地覆盖的影响。","遥感、GIS、土地转移矩阵、景观格局指数与多缓冲环分析。","耕地先转为裸地再被城市占用，城市核心显著驱动外围土地覆盖转变。","可延伸研究裸地作为耕地—城市转换中间态的机制，并构建城郊耕地流失预警模型。","2026-09-21T23:30:24.332177Z",{"id":160,"title":161,"url":162,"summary":163,"summary_zh":164,"content":9,"source_name":128,"source_url":162,"published_at":129,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":36,"score_detail":165,"sources":167,"tags":169,"search_phrases":171,"slug":174,"view_count":36,"doi":175,"paper":176,"created_at":187},3015,"Forecasting Urbanization Dynamics On İstanbul’s European Side Using Deep Learning And Extrapolation Techniques","https:\u002F\u002Fdoi.org\u002F10.2478\u002Fjlecol-2026-0037","Abstract Rapid urbanization in metropolitan regions poses significant environmental, social, and infrastructural challenges, necessitating advanced analytical approaches to monitor and predict urban growth. This study investigates the spatio-temporal dynamics of urbanization on the European side of Istanbul from 2013 to 2024 using Landsat 8 imagery and a deep learning (DL)–based Land Cover Classification model integrated within ArcGIS Pro. The U-Net–based pre-trained model generated 15-class Land Use\u002FLand Cover (LULC) maps, which were validated against the Urban Atlas dataset, resulting in high classification accuracies for forest and water classes (PA: 0.84–0.94; UA: 0.87–0.87) and an overall binary urban\u002Fnon-urban accuracy of 87 %, confirming the robustness of the employed DL approach. Spatio-temporal analyses of LULC data were conducted using both Ordinary Least Squares (OLS) and nonlinear regression functions to examine urban growth trends and project future development for 2025, 2026, and 2027. The results indicate a strong linear increase in urbanized areas across most districts, with total developed area on the European side projected to reach approximately 807 km² by 2027, representing a nearly 50% increase compared to 2013. These findings highlight the significant pressure of urban expansion on natural and agricultural lands and emphasize the need for informed planning strategies. By integrating remote sensing, deep learning, and predictive modeling, this study provides actionable insights for sustainable urban development, offering a replicable framework for monitoring rapid urbanization and supporting policy decisions to mitigate environmental and socio-spatial impacts in rapidly growing metropolitan regions.","摘要 大都市区域的快速城市化带来了显著的环境、社会和基础设施挑战，亟需先进的分析方法来监测和预测城市增长。本研究利用Landsat 8影像和集成于ArcGIS Pro中的基于深度学习（DL）的土地覆盖分类模型，研究了2013年至2024年伊斯坦布尔欧洲一侧城市化的时空动态。基于U-Net的预训练模型生成了15类土地利用\u002F土地覆盖（LULC）地图，并依据Urban Atlas数据集进行了验证，森林和水体类别的分类精度较高（生产者精度PA：0.84–0.94；用户精度UA：0.87–0.87），城市\u002F非城市二分类总体精度达87%，证实了所采用深度学习方法稳健可靠。研究采用普通最小二乘法（OLS）和非线性回归函数对LULC数据进行时空分析，以考察城市增长趋势并预测2025年、2026年和2027年的未来发展。结果表明，大多数区域的城市化面积呈显著线性增长，预计到2027年欧洲一侧的总建成区面积将达到约807 km²，较2013年增长近50%。这些发现凸显了城市扩张对自然和农业用地的巨大压力，并强调了科学规划策略的必要性。通过整合遥感、深度学习和预测建模，本研究为可持续城市发展提供了可操作的见解，为监测快速城市化提供了一个可复制的框架，并支持旨在缓解快速增长的都市区域中环境和社会空间影响的政策决策。",{"impact":36,"substance":36,"depth":36,"authority":36,"freshness":36,"relevant":36,"comment":166},"研究伊斯坦布尔城市扩张与土地覆盖预测，属城市遥感与景观生态领域，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[168],{"name":128,"url":162},[170,28,29,136],"深度学习",[172,173],"伊斯坦布尔 城市扩张 遥感","U-Net 土地覆盖分类","伊斯坦布尔城市扩张遥感-3015","10.2478\u002Fjlecol-2026-0037",{"doi":175,"openalex_id":177,"authors":178,"venue":128,"cited_by_count":36,"oa_url":162,"card":182,"direction":59,"ingested_from":61},"W7213670913",[179],{"name":180,"orcid":181},"Gizem Dinç","https:\u002F\u002Forcid.org\u002F0000-0003-2406-604X",{"tldr":183,"method":184,"finding":185,"direction":59,"opportunity":186},"用Landsat 8影像和U-Net深度学习模型分析伊斯坦布尔欧洲侧2013-2024年城市化动态并","Landsat 8影像、ArcGIS Pro中U-Net预训练模型生成15类LU","城市面积呈强线性增长，2027年预计达807 km²，较2013年增长近50%，挤压自然与农业用地。","可借鉴该遥感+深度学习+外推框架，研究快速城市化对城郊农业用地与耕地保护的时空影响。","2026-09-20T23:30:21.335156Z",{"id":189,"title":190,"url":191,"summary":192,"summary_zh":193,"content":9,"source_name":194,"source_url":191,"published_at":195,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":196,"score_detail":197,"sources":199,"tags":201,"search_phrases":205,"slug":208,"view_count":36,"doi":209,"paper":210,"created_at":229},2943,"SPATIO-TEMPORAL DYNAMICS OF LAND USE AND LAND COVER IN A GRANITE QUARRYING AREA IN MANÉAH, GUINEA: A REMOTE SENSING AND GIS-BASED ANALYSIS FROM 1980 TO 2024","https:\u002F\u002Fdoi.org\u002F10.30574\u002Fgscarr.2026.28.3.0222","Quarrying is a major driver of transformation in peri-urban areas, particularly in spaces experiencing both rapid urbanization and increasing pressure on natural resources. This study analyzes the spatio-temporal dynamics of land cover in the urban commune of Manéah, Guinea, between 1980, 2020, and 2024, in order to characterize the territorial changes associated with the development of extractive activities and urban expansion. The methodological approach relies on the use of multi-temporal satellite imagery, its processing in a GIS environment, supervised classification of the main land cover classes, diachronic analysis of changes, construction of a transition matrix, and evaluation of the quality of the classifications using the Kappa index. The results highlight a profound transformation of the landscape. Between 1980 and 2024, the proportion of built-up areas increased from 7.22% to 32.67%, a rise of 25.45 percentage points, while quarries and construction sites, absent in 1980, represented 2.05% of the territory in 2024, after reaching 7.50% in 2020. Conversely, cultivated land and fallow land increased overall by 18.58 percentage points. In contrast, natural formations experienced a sharp decline: shrub savannas decreased from 40.50% to 1.73%, bodies of water from 31.46% to 11.30%, and mangroves from 8.85% to 0.84%. The Kappa values of 0.76, 0.79, and 0.82 indicate a satisfactory agreement between the classifications. These changes reflect the increasing human impact on the territory, resulting from the combined effects of urbanization, agriculture, and extractive activities. The change matrix also confirms a structural recomposition of the territory, with built-up areas increasing from 963.406 ha to 4,357.55 ha, while shrub savannas decreased from 5,401.819 ha to only 230.389 ha over the entire study period. The study thus highlights the need to further integrate remote sensing data and GIS tools into land-use planning, environmental monitoring, and the spatial management of quarries in Manéah.","采石活动是城郊地区转型的主要驱动力，尤其是在同时经历快速城市化和自然资源压力加剧的区域。本研究分析了几内亚马内阿（Manéah）城市公社在1980年、2020年和2024年的土地覆盖时空动态，以刻画与采掘活动发展和城市扩张相关的领土变化。研究方法依赖于多时相卫星影像的使用、在GIS环境中的处理、主要土地覆盖类别的监督分类、变化的历史对比分析、转移矩阵的构建，以及利用Kappa指数评估分类质量。结果揭示了景观的深刻转变。1980年至2024年间，建成区比例从7.22%增至32.67%，上升了25.45个百分点；而采石场和建筑工地1980年尚不存在，2020年达到7.50%，2024年占领土的2.05%。相反，耕地和休耕地总体增加了18.58个百分点。相比之下，自然 formations 急剧减少：灌木草原从40.50%降至1.73%，水体从31.46%降至11.30%，红树林从8.85%降至0.84%。Kappa值分别为0.76、0.79和0.82，表明分类之间具有令人满意的一致性。这些变化反映了人类对领土日益加剧的影响，这是城市化、农业和采掘活动共同作用的结果。变化矩阵也证实了领土的结构性重组，建成区从963.406公顷增至4，357.55公顷，而灌木草原在整个研究期内从5，401.819公顷降至仅230.389公顷。因此，本研究强调了进一步将遥感数据和GIS工具纳入马内阿的土地利用规划、环境监测和采石场空间管理的必要性。","GSC Advanced Research and Reviews","2026-09-18T00:00:00Z",60,{"impact":17,"substance":18,"depth":19,"authority":13,"freshness":21,"relevant":22,"comment":198},"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。",[200],{"name":194,"url":191},[202,28,29,203,204],"城镇化","GIS","矿区生态",[206,207],"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":209,"openalex_id":211,"authors":212,"venue":194,"cited_by_count":36,"oa_url":191,"card":224,"direction":59,"ingested_from":61},"W7213550535",[213,215,217,220,222],{"name":214,"orcid":9},"Sogbè KEITA",{"name":216,"orcid":9},"Mamady Minata CONDÉ",{"name":218,"orcid":219},"Ibrahima Thiam","https:\u002F\u002Forcid.org\u002F0000-0001-8553-1043",{"name":221,"orcid":9},"Lucien SOLIE",{"name":223,"orcid":9},"Alpha Issaga Pallé Diallo",{"tldr":225,"method":226,"finding":227,"direction":59,"opportunity":228},"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":231,"title":232,"url":233,"summary":234,"summary_zh":235,"content":9,"source_name":236,"source_url":233,"published_at":237,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":36,"score_detail":238,"sources":240,"tags":242,"search_phrases":243,"slug":246,"view_count":36,"doi":247,"paper":248,"created_at":269},2796,"Spatio-Temporal Analysis of Urban Expansion in Awka and its Environs, Nigeria Using Sentinel-2 Satellite Imagery and Google Earth Engine (2021 to 2026)","https:\u002F\u002Fdoi.org\u002F10.31223\u002Fx52v3s","Abstract Rapid urbanization in secondary administrative and educational hubs across sub-Saharan Africa presents significant challenges for regional planning, infrastructure development, and sustainable resource allocation. This study evaluates the spatio-temporal dynamics of urban expansion in Awka and its environs Anambra State, Nigeria, between 2021 and 2026 using cloud-based remote sensing infrastructure. By leveraging Google Earth Engine (GEE) and multi-temporal Sentinel-2 Surface Reflectance imagery, the Normalized Difference Built-up Index (NDBI) was computed across dry-season composites to isolate concrete and structural surfaces from surrounding vegetation and bare soil. The findings reveal an intensive peri-urban transformation of the landscape: the built-up area surged from a baseline of 239.87 hectares in 2021 to 2,752.91 hectares by 2026. This represents a net urban expansion of 2,513.04 hectares, translating to an extraordinary percentage growth rate of 1,047.67% over the five-year period, supported by a model validation accuracy of 98.50% and a Kappa coefficient of 0.98. Spatial clustering of new development was predominantly observed along the Okpuno, Ifite and Awka-Enugu expressway corridors, driven largely by educational expansion and demographic influx. The results demonstrate the efficacy of cloud-native geospatial computing for monitoring rapid urban sprawl, providing essential empirical metrics to guide master plan enforcement, real estate investment modeling, and municipal infrastructural planning.","摘要 撒哈拉以南非洲地区次级行政与教育中心城市的快速城市化，给区域规划、基础设施建设及可持续资源配置带来了重大挑战。本研究利用基于云端的遥感基础设施，评估了尼日利亚阿南布拉州阿瓦卡及其周边地区2021年至2026年间的城市扩张时空动态。通过借助谷歌地球引擎（Google Earth Engine, GEE）和多时相哨兵2号地表反射率影像，在旱季合成影像上计算归一化建筑指数（Normalized Difference Built-up Index, NDBI），以将混凝土及结构性表面与周围植被和裸土区分开来。研究结果揭示了景观剧烈的城郊转型：建成区面积从2021年基线的239.87公顷激增至2026年的2,752.91公顷。这意味着净城市扩张面积为2,513.04公顷，五年间增长率高达1,047.67%，模型验证精度为98.50%，Kappa系数为0.98。新增开发的空间集聚主要沿奥克普诺、伊菲特和阿瓦卡-埃努古高速公路走廊分布，其驱动力主要来自教育扩张和人口涌入。研究结果证明了云原生地理空间计算在监测快速城市蔓延方面的有效性，为总体规划执行、房地产投资建模和市政基础设施规划提供了重要的实证指标。","OpenAlex","2026-09-16T00:00:00Z",{"impact":36,"substance":36,"depth":36,"authority":36,"freshness":36,"relevant":36,"comment":239},"研究对象为尼日利亚城市建成区扩张，属城市遥感与区域规划范畴，与三农、农业信息化、数字乡村无直接关联，不建议进入每日精选。",[241],{"name":236,"url":233},[28,29,136],[244,245],"土地利用 城市扩张 遥感监测","土地利用 城市扩张","土地利用城市扩张遥感监测-2796","10.31223\u002Fx52v3s",{"doi":247,"openalex_id":249,"authors":250,"venue":9,"cited_by_count":36,"oa_url":263,"card":264,"direction":59,"ingested_from":61},"W7213407140",[251,253,255,257,259,261],{"name":252,"orcid":9},"ADEBOBOYE ADEYEMI DR",{"name":254,"orcid":9},"Adaobi Olisa",{"name":256,"orcid":9},"CHINEDU ANADEBE",{"name":258,"orcid":9},"EVAWERE OKPUGWO",{"name":260,"orcid":9},"ODO OFORBUIKE",{"name":262,"orcid":9},"SYLVESTER EKWEALOR","https:\u002F\u002Feartharxiv.org\u002Frepository\u002Fobject\u002F15011\u002Fdownload\u002F26080\u002F",{"tldr":265,"method":266,"finding":267,"direction":59,"opportunity":268},"基于GEE与Sentinel-2影像，分析尼日利亚Awka及周边2021-2026年城市扩张动态。","GEE平台、Sentinel-2地表反射率影像、NDBI指数、干季合成与精度验证","建成区从239.87公顷增至2752.91公顷，增长1047.67%，扩张集中于教育走廊。","可延伸至城乡交错带耕地流失监测，结合多源遥感与机器学习预测城市扩张对农业的影响。","2026-09-17T23:30:37.315472Z"]