[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3493":3,"related-3493":56},{"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,"search_phrases":24,"slug":27,"view_count":15,"doi":28,"paper":29,"created_at":55},3493,"Urbanization and Land Use\u002FLand Cover Change in Jalingo Local Government Area, Taraba State, Nigeria: A Multi-Temporal Remote Sensing and Socio-Economic Assessment","https:\u002F\u002Fdoi.org\u002F10.54117\u002Fcanhm718","Rapid urbanization is a major driver of land use and land cover (LULC) transformation, particularly in rapidly developing cities of sub-Saharan Africa. This study examined the impact of urbanization on LULC in Jalingo Local Government Area of Taraba State, Nigeria, with particular emphasis on the period 1994–2024. The study integrated multi-temporal Landsat satellite imagery, Geographic Information Systems (GIS), post-classification change detection and questionnaire data to assess the spatial and temporal dynamics of urban growth and its environmental and socio-economic implications. Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI\u002FTIRS imagery for 1994, 2004, 2014 and 2024 were classified into four major LULC categories: built-up area, vegetation, bare surface and water body. A questionnaire survey involving 384 respondents was also used to assess perceived drivers and consequences of urbanization. The results revealed substantial transformation of the Jalingo landscape. Vegetation declined from 170.56 km² (87.47%) in 1994 to 50.39 km² (25.84%) in 2024, representing a net loss of 120.17 km². In contrast, built-up land increased from 4.30 km² (2.20%) to 18.06 km² (9.26%), while bare surfaces expanded from 18.60 km² (9.54%) to 124.68 km² (63.94%). The most rapid transformation occurred between 2004 and 2014, when vegetation declined by 81.57 km² while bare surfaces increased by 71.79 km² and built-up land by 10.46 km². Survey results indicated that government policies and initiatives, economic opportunities, population growth and infrastructure development were important perceived drivers of urbanization. Most respondents also perceived significant negative effects on agricultural land, livelihoods, food security and access to essential natural resources. The study concludes that urban growth in Jalingo has generated important economic and infrastructural benefits but has also produced substantial environmental degradation and socio-economic pressures. Strengthened land-use planning, protection of agricultural and ecological areas, urban greening, sustainable livelihood programmes, community participation and continuous GIS-based monitoring are recommended.","快速城市化是土地利用与土地覆盖(LULC)变化的主要驱动力，在撒哈拉以南非洲快速发展的城市中尤为突出。本研究考察了尼日利亚塔拉巴州贾林戈地方政府辖区城市化对土地利用与土地覆盖的影响，重点关注1994—2024年这一时期。研究综合运用多时相Landsat卫星影像、地理信息系统(GIS)、分类后变化检测和问卷调查数据，评估城市增长的空间与时间动态及其环境和社会经济影响。将1994年、2004年、2014年和2024年的Landsat 5 TM、Landsat 7 ETM+和Landsat 8 OLI\u002FTIRS影像分为四个主要土地利用与土地覆盖类别：建设用地、植被、裸地表和水体。同时开展了一项涉及384名受访者的问卷调查，以评估城市化的感知驱动因素及其后果。结果表明，贾林戈景观发生了显著转变。植被从1994年的170.56 km²(87.47%)下降至2024年的50.39 km²(25.84%)，净损失120.17 km²。相比之下，建设用地从4.30 km²(2.20%)增至18.06 km²(9.26%)，而裸地表从18.60 km²(9.54%)扩展至124.68 km²(63.94%)。变化最快的时期为2004—2014年，期间植被减少81.57 km²，裸地表增加71.79 km²，建设用地增加10.46 km²。调查结果表明，政府政策和举措、经济机会、人口增长和基础设施建设是城市化的重要感知驱动因素。大多数受访者还认为，城市化对农业用地、生计、粮食安全和基本自然资源的获取产生了显著的负面影响。研究认为，贾林戈的城市增长带来了重要的经济和基础设施效益，但也造成了严重的环境退化和社会经济压力。建议加强土地利用规划、保护农业和生态区域、推进城市绿化、实施可持续生计项目、促进社区参与以及持续开展基于GIS的监测。",null,"OpenAlex","2026-09-24T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"研究对象为尼日利亚Jalingo地区城市化与土地利用变化，属国际区域地理研究，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。",[19],{"name":10,"url":6},[21,22,23],"遥感监测","土地利用","城市化",[25,26],"尼日利亚 Jalingo 土地利用","Landsat 遥感 城市化","尼日利亚Jalingo土地利用-3493","10.54117\u002Fcanhm718",{"doi":28,"openalex_id":30,"authors":31,"venue":9,"cited_by_count":15,"oa_url":9,"card":48,"direction":52,"ingested_from":54},"W7214145360",[32,35,38,40,42,44,46],{"name":33,"orcid":34},"Mohammed Bakoji Yusuf","https:\u002F\u002Forcid.org\u002F0000-0002-8719-2396",{"name":36,"orcid":37},"Ambrose Audu Zemba","https:\u002F\u002Forcid.org\u002F0000-0002-7692-9911",{"name":39,"orcid":9},"Huzaima Abubakar Bakoji",{"name":41,"orcid":9},"AUWAL ADAMU BAKAKU",{"name":43,"orcid":9},"UMAR ABBA JAURO",{"name":45,"orcid":9},"Aliyu Mohammed Jingudo",{"name":47,"orcid":9},"Abubakar Isa",{"tldr":49,"method":50,"finding":51,"direction":52,"opportunity":53},"用多时相遥感和问卷评估尼日利亚Jalingo 1994–2024年城市化驱动的土地利用变化。","Landsat 5\u002F7\u002F8影像分类、GIS变化检测与384份问卷。","植被减少120.17 km²，建设用地和裸地大幅扩张，2004–2014变化最快。","农业遥感与作物表型","可结合多源遥感与农户调查，研究西非城市扩张对农地流失和粮食安全的驱动机制。","openalex","2026-09-25T23:30:30.441601Z",{"total":57,"page":58,"page_size":57,"items":59},6,1,[60,108,139,165,201,239],{"id":61,"title":62,"url":63,"summary":64,"summary_zh":65,"content":9,"source_name":66,"source_url":63,"published_at":67,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":68,"score_detail":69,"sources":75,"tags":77,"search_phrases":80,"slug":83,"view_count":15,"doi":84,"paper":85,"created_at":107},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","Hensard Journal of Environment","2026-09-20T00:00:00Z",56,{"impact":70,"substance":71,"depth":72,"authority":57,"freshness":73,"relevant":58,"comment":74},8,18,15,9,"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。",[76],{"name":66,"url":63},[78,21,22,23,79],"粮食安全","湿地保护",[81,82],"Makurdi 湿地 城市化","Benue State 遥感","Makurdi湿地城市化-3069","10.65757\u002Fhjev1n22",{"doi":84,"openalex_id":86,"authors":87,"venue":66,"cited_by_count":15,"oa_url":63,"card":102,"direction":52,"ingested_from":54},"W7213745048",[88,90,92,94,96,98,100],{"name":89,"orcid":9},"Joy Iganya Agene",{"name":91,"orcid":9},"Onoja Sunday",{"name":93,"orcid":9},"Akintunde Elijah",{"name":95,"orcid":9},"Ugese Ayangeaor Andrew",{"name":97,"orcid":9},"Kebiru Umoru",{"name":99,"orcid":9},"Aku Umaku Esther",{"name":101,"orcid":9},"Ombugu Gideon",{"tldr":103,"method":104,"finding":105,"direction":52,"opportunity":106},"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。","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。","2026-09-21T23:30:24.084401Z",{"id":109,"title":110,"url":111,"summary":112,"summary_zh":113,"content":9,"source_name":114,"source_url":111,"published_at":115,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":116,"sources":118,"tags":120,"search_phrases":121,"slug":124,"view_count":15,"doi":125,"paper":126,"created_at":138},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":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":117},"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。",[119],{"name":114,"url":111},[21,22,23],[122,123],"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":125,"openalex_id":127,"authors":128,"venue":114,"cited_by_count":15,"oa_url":131,"card":132,"direction":137,"ingested_from":54},"W7212143894",[129],{"name":130,"orcid":9},"Innocent E. Bello","https:\u002F\u002Fiiardjournals.org\u002Fget\u002FIJGEM\u002FVOL. 12 NO. 3 2026\u002FPOPULATION GROWTH AND ENVIRONMENTAL 80-87.pdf",{"tldr":133,"method":134,"finding":135,"direction":52,"opportunity":136},"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":140,"title":141,"url":142,"summary":143,"summary_zh":144,"content":9,"source_name":114,"source_url":142,"published_at":115,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":145,"sources":147,"tags":149,"search_phrases":150,"slug":151,"view_count":15,"doi":152,"paper":153,"created_at":164},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":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":146},"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。",[148],{"name":114,"url":142},[21,22,23],[122,123],"土地利用遥感监测城市化-2166","10.56201\u002Fijgem.vol.12.no3.2026.pg117.137",{"doi":152,"openalex_id":154,"authors":155,"venue":114,"cited_by_count":15,"oa_url":158,"card":159,"direction":52,"ingested_from":54},"W7212186540",[156],{"name":157,"orcid":9},"D. U. Elijah","https:\u002F\u002Fiiardjournals.org\u002Fget\u002FIJGEM\u002FVOL. 12 NO. 3 2026\u002FHOUSEHOLD SURVEY AND GEOSPATIAL 117-137.pdf",{"tldr":160,"method":161,"finding":162,"direction":52,"opportunity":163},"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":166,"title":167,"url":168,"summary":169,"summary_zh":170,"content":9,"source_name":10,"source_url":168,"published_at":171,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":172,"sources":174,"tags":176,"search_phrases":179,"slug":182,"view_count":15,"doi":183,"paper":184,"created_at":200},3506,"Urban Sprawl and Traffic-Related Air Pollution in Greater Gaborone: A Spatial Analysis of the Land Use–Transport–Environment Relationship","https:\u002F\u002Fdoi.org\u002F10.31223\u002Fx5v22m","Rapid urban sprawl in many Sub-Saharan African cities has significantly reshaped urban mobility patterns, resulting in longer commuting distances, increased private vehicle dependence, and growing pressure on major transport corridors. These trends have important implications for environmental quality, urban sustainability, and climate resilience. This paper investigates the spatial relationship between urban sprawl and traffic-related air pollution (TRAP) in Greater Gaborone, Botswana, using Geographic Information Systems (GIS) and remote sensing techniques. Landsat imagery from the United States Geological Survey (USGS), accessed via Google Earth Engine, is used to map land use and land cover change between 2006 and 2026, and Sentinel-5P TROPOMI tropospheric NO2 data are used to map TRAP hotspots for 2026 using the Getis-Ord Gi* statistic. Built-up land area in Greater Gaborone grew by 79.6% over the study period, spreading outward from the historic core in multiple directions. TRAP hotspots are concentrated in this core and extend along the city's major roads into nearby growth areas, while more distant peripheral growth remains in the coldspot zone. This suggests that pollution has not spread uniformly with the built-up footprint, and that Greater Gaborone's transport corridors may play a role in shaping which growth areas experience elevated pollution and which do not. These findings offer evidence-based insights for land use planning and air quality management within Botswana's urban development framework, and highlight that Greater Gaborone spans multiple local government jurisdictions with no single authority responsible for the metropolitan area as a whole.","许多撒哈拉以南非洲城市的快速城市蔓延显著重塑了城市出行模式，导致通勤距离延长、私人车辆依赖加剧以及对主要交通走廊的压力不断增大。这些趋势对环境质量、城市可持续性和气候韧性具有重要影响。本文利用地理信息系统（GIS）和遥感技术，研究了博茨瓦纳大哈博罗内地区城市蔓延与交通相关空气污染（TRAP）之间的空间关系。研究使用通过Google Earth Engine获取的美国地质调查局（USGS）Landsat影像，绘制了2006年至2026年间的土地利用与土地覆盖变化，并利用Sentinel-5P TROPOMI对流层NO2数据，采用Getis-Ord Gi*统计量绘制了2026年TRAP热点分布。研究期间，大哈博罗内的建成区面积增长了79.6%，从历史核心区向多个方向向外扩展。TRAP热点集中在该核心区，并沿城市主要道路延伸至邻近的增长区域，而更远的外围增长区仍处于冷点区。这表明污染并未随建成区足迹均匀扩散，大哈博罗内的交通走廊可能在决定哪些增长区出现污染升高、哪些不升高方面发挥了作用。这些发现为博茨瓦纳城市发展框架内的土地利用规划和空气质量管理提供了基于证据的见解，并凸显出大哈博罗内跨越多个地方政府辖区，没有任何单一机构对整个大都市区负责。","2026-09-23T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":173},"研究博茨瓦纳哈博罗内城市扩张与交通空气污染，属城市环境与遥感领域，与三农、农业信息化、智慧农业无关，不建议进入每日精选。",[175],{"name":10,"url":168},[21,22,177,178],"城市扩张","交通空气污染",[180,181],"Greater Gaborone 城市扩张","Sentinel-5P NO2 遥感","GreaterGaborone城市扩张-3506","10.31223\u002Fx5v22m",{"doi":183,"openalex_id":185,"authors":186,"venue":9,"cited_by_count":15,"oa_url":194,"card":195,"direction":52,"ingested_from":54},"W7214110791",[187,190,192],{"name":188,"orcid":189},"Keone Kelobonye","https:\u002F\u002Forcid.org\u002F0000-0002-6652-6262",{"name":191,"orcid":9},"Chenesani Sithole",{"name":193,"orcid":9},"Orateng Amos","https:\u002F\u002Feartharxiv.org\u002Frepository\u002Fobject\u002F15173\u002Fdownload\u002F26308\u002F",{"tldr":196,"method":197,"finding":198,"direction":52,"opportunity":199},"用GIS与遥感分析大哈博罗内城市蔓延与交通相关空气污染的空间关系。","Landsat与Sentinel-5P NO2数据，结合Getis-Ord Gi","建设用地增79.6%，污染热点集中于核心区并沿主干道延伸，外围增长区仍为冷点。","可延伸至城乡交错带交通污染暴露与土地利用协同治理，关注跨辖区空气质量管理机制。","2026-09-25T23:30:33.701778Z",{"id":202,"title":203,"url":204,"summary":205,"summary_zh":206,"content":9,"source_name":207,"source_url":204,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":208,"sources":210,"tags":212,"search_phrases":214,"slug":217,"view_count":15,"doi":218,"paper":219,"created_at":238},3496,"Cartographic Analysis of the Spatial Changes in the Tourist Resort of Saly (Senegal) Between 1988 and 2024","https:\u002F\u002Fdoi.org\u002F10.11648\u002Fj.ajep.20261505.12","The creation of the seaside resort of Saly in Senegal in 1984 marked the beginning of a transition from a village to an urban center. However, the development of a designated area is often marked by a context of urban transformation and expansion, giving rise to various territorial and societal challenges. Hence, the objective of this study is to assess the spatial dynamics of the Saly tourist resort between 1988 and 2024. The methodological approach was based on the analysis of satellite imagery and the application of remote sensing techniques, notably the NDBI index and the calculation of the average annual growth rate of spatial units. The results revealed that from 1988 to 2002), the built-up area increased significantly (from 38 to 534 ha), while agricultural land (from 963 to 613 ha), bare land (from 315 to 78 ha), and beaches (from 67 to 52 ha) declined. Between 2002 and 2014, built-up areas increased (from 534 to 903 ha), followed by a decrease in vegetation (from 421 to 349 ha) and agricultural land (from 613 to 345 ha). During the period from 2014 to 2024, built-up areas saw a slight increase (from 903 to 950 ha) and a shift in trends regarding vegetation (from 349 to 460 ha) and open land (from 64 to 235 ha), while agricultural land (from 345 to 13 ha) and beaches (from 47 to 44 ha) decreased further. These trends show that 86.29% of the territory underwent land-use conversion, compared with 13.71% that remained stable over these 36 years. The built-up area shows an estimated average annual growth rate of 9.4%, while vegetation increased slightly by 0.99%. In contrast, agricultural land declined by 11.20%, as did beaches and bare ground, which decreased by 1.31% and 0.82%, respectively. These trends reflect three phases of spatial dynamics: rapid expansion (1988-2002), consolidation (2002-2014), and spatial restructuring (2014-2024). Analysis of the NDBI index from 1988 shows values ranging from generally low to slightly negative (-0.42 and 0.02) to a higher value (0.21) in 2024. Spatial dynamics reveal rapid urbanization in Saly, requiring sustainable land-use policies that take natural areas into account and continuous monitoring of land use to better manage urban growth.","1984年塞内加尔萨利海滨度假胜地的创建，标志着该地区从村庄向城市中心的转型开端。然而，指定区域的发展往往伴随着城市转型与扩张的背景，由此引发各种领土与社会挑战。因此，本研究旨在评估1988年至2024年间萨利旅游度假区的空间动态。研究方法基于卫星影像分析和遥感技术的应用，特别是NDBI指数（归一化建筑指数）以及空间单元年均增长率的计算。结果显示，1988年至2002年间，建成区面积显著增加（从38公顷增至534公顷），而农业用地（从963公顷降至613公顷）、裸地（从315公顷降至78公顷）和海滩（从67公顷降至52公顷）则有所减少。2002年至2014年间，建成区面积继续增加（从534公顷增至903公顷），随后植被（从421公顷降至349公顷）和农业用地（从613公顷降至345公顷）减少。2014年至2024年间，建成区面积略有增加（从903公顷增至950公顷），植被（从349公顷增至460公顷）和空地（从64公顷增至235公顷）趋势发生转变，而农业用地（从345公顷降至13公顷）和海滩（从47公顷降至44公顷）进一步减少。这些趋势表明，在这36年间，86.29%的领土发生了土地利用转换，而13.71%保持稳定。建成区年均增长率估计为9.4%，植被略有增加，为0.99%。相比之下，农业用地下降了11.20%，海滩和裸地分别下降了1.31%和0.82%。这些趋势反映了三个空间动态阶段：快速扩张期（1988-2002年）、巩固期（2002-2014年）和空间重组期（2014-2024年）。对1988年以来NDBI指数的分析显示，数值从普遍较低至略负（-0.42和0.02），到2024年升至较高值（0.21）。空间动态揭示了萨利的快速城市化，需要制定考虑自然区域的可持续土地利用政策，并持续监测土地利用，以更好地管理城市增长。","American Journal of Environmental Protection",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":209},"研究塞内加尔海滨度假区1988-2024年土地利用变化，属城市与旅游地理遥感范畴，与三农、农业信息化、数字乡村主题无关，不予入选。",[211],{"name":207,"url":204},[21,22,213],"滨海旅游",[215,216],"Saly Senegal 遥感 土地利用","土地利用 滨海旅游 遥感监测","SalySenegal遥感土地利用-3496","10.11648\u002Fj.ajep.20261505.12",{"doi":218,"openalex_id":220,"authors":221,"venue":207,"cited_by_count":15,"oa_url":204,"card":233,"direction":52,"ingested_from":54},"W7214164135",[222,224,227,230],{"name":223,"orcid":9},"Moctar Badji",{"name":225,"orcid":226},"Hyacinthe Sambou","https:\u002F\u002Forcid.org\u002F0009-0000-5049-3550",{"name":228,"orcid":229},"Cheikh Mbow","https:\u002F\u002Forcid.org\u002F0000-0003-4620-4490",{"name":231,"orcid":232},"Dramé Amata Fodé","https:\u002F\u002Forcid.org\u002F0009-0007-1428-6061",{"tldr":234,"method":235,"finding":236,"direction":52,"opportunity":237},"基于遥感影像分析塞内加尔Saly旅游度假区1988-2024年土地利用变化。","卫星影像与NDBI指数，计算空间单元年均增长率。","建设用地年均增长9.4%，农地减少11.20%，86.29%土地发生转换。","可结合多源遥感与机器学习，监测旅游区扩张对农地与生态的长期影响。","2026-09-25T23:30:30.648444Z",{"id":240,"title":241,"url":242,"summary":243,"summary_zh":244,"content":9,"source_name":245,"source_url":242,"published_at":246,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":247,"score_detail":248,"sources":251,"tags":253,"search_phrases":257,"slug":260,"view_count":15,"doi":261,"paper":262,"created_at":288},3189,"Influence of Drought Events on Vegetation and Land Use Dynamics Utilising Orbital Data: A Case Study in the Pajeú River Basin, Pernambuco","https:\u002F\u002Fdoi.org\u002F10.29150\u002Fjhrs.v16i03.269030","Monitoring drought in the northeastern Semi-Arid region is a challenge compounded by high rainfall variability and a scarcity of in situ monitoring networks, which makes the use of geotechnologies for water resource management essential. This study aimed to analyze land use and occupation dynamics from 2002 to 2022 in the Pajeú River basin in Pernambuco, Brazil, and their relationship with drought events, using indices based on remote sensing. The Standardized Precipitation Index (SPI) was applied to characterize meteorological drought, while the Vegetation Health Index (VHI) and Normalized Vegetation Water Supply Index (NVSWI) were used to assess the ecosystem's response. The results indicated that the period from 2011 to 2016 was the most severe and prolonged drought, which was reinforced by low VHI and NVSWI values, indicating water stress on vegetation during the same period. The correlation analysis revealed that land use classes, such as vegetation and water, responded directly to drought, whereas degraded anthropogenic areas, including pasture and exposed soil, exhibited the opposite behavior. The joint analysis of the three indices and land use and occupation data provided a comprehensive understanding of the evolution of drought in the study area, highlighting the importance of a multiple approach to monitoring complex environments.","监测半干旱东北部地区的干旱是一项挑战，降雨变率大且原位监测网络稀缺使这一挑战更加复杂，因此利用地理技术进行水资源管理至关重要。本研究旨在利用基于遥感的指数，分析2002年至2022年巴西伯南布哥州帕热乌河流域的土地利用与覆盖动态及其与干旱事件的关系。采用标准化降水指数（SPI）表征气象干旱，同时使用植被健康指数（VHI）和归一化植被供水指数（NVSWI）评估生态系统的响应。结果表明，2011年至2016年是最严重且持续时间最长的干旱期，同期较低的VHI和NVSWI值进一步证实了这一点，表明植被在此期间受到水分胁迫。相关性分析显示，植被和水体等土地利用类别对干旱有直接响应，而牧场和裸露土壤等退化的人为区域则表现出相反的行为。三个指数与土地利用及覆盖数据的联合分析为理解研究区域干旱演变提供了全面的认识，凸显了多方法途径在监测复杂环境中的重要性。","Journal of Hyperspectral Remote Sensing","2026-09-19T00:00:00Z",61,{"impact":70,"substance":71,"depth":72,"authority":249,"freshness":70,"relevant":58,"comment":250},12,"该研究利用遥感指数分析巴西半干旱流域干旱与植被动态，方法扎实但属区域性案例，对国内三农信息化参考价值有限。",[252],{"name":245,"url":242},[254,21,22,255,256],"水资源管理","干旱监测","植被指数",[258,259],"Pajeú River basin 干旱 遥感","SPI VHI NVSWI 植被","PajeúRiverbasin干旱遥感-3189","10.29150\u002Fjhrs.v16i03.269030",{"doi":261,"openalex_id":263,"authors":264,"venue":245,"cited_by_count":15,"oa_url":282,"card":283,"direction":52,"ingested_from":54},"W7213792298",[265,268,271,274,277,279],{"name":266,"orcid":267},"Juliana Farias Santos de Moraes","https:\u002F\u002Forcid.org\u002F0000-0002-3241-844X",{"name":269,"orcid":270},"Estephania Silva Jovino","https:\u002F\u002Forcid.org\u002F0000-0002-6694-3533",{"name":272,"orcid":273},"Alex Vinícius de Melo Vieira","https:\u002F\u002Forcid.org\u002F0009-0002-5204-3734",{"name":275,"orcid":276},"Anderson Luiz Ribeiro de Paiva","https:\u002F\u002Forcid.org\u002F0000-0003-3475-1454",{"name":278,"orcid":9},"Sylvana Sylvana Melo dos Santos",{"name":280,"orcid":281},"Leidjane Maria Maciel de Oliveira","https:\u002F\u002Forcid.org\u002F0000-0003-1251-6998","https:\u002F\u002Fperiodicos.ufpe.br\u002Frevistas\u002Fjhrs\u002Farticle\u002Fdownload\u002F269030\u002F52814",{"tldr":284,"method":285,"finding":286,"direction":52,"opportunity":287},"利用遥感指数分析巴西Pajeú河流域2002-2022年干旱对植被与土地利用的影响。","采用SPI、VHI和NVSWI指数，结合遥感数据与土地利用分类。","2011-2016年干旱最严重，植被和水体响应直接，而牧场和裸地呈相反趋势。","可融合多源遥感与机器学习，构建半干旱区干旱-植被-土地利用耦合预警模型。","2026-09-22T23:30:26.557816Z"]