[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3497":3,"related-3497":47},{"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":25,"slug":28,"view_count":15,"doi":29,"paper":30,"created_at":46},3497,"Evaluating the Dynamics of Urban Expansion and Land Use-Land Cover Change in the Inter-Urban Areas of Barasat and Barrackpore of West Bengal, India","https:\u002F\u002Fdoi.org\u002F10.11648\u002Fj.ajrs.20261402.16","Urban expansion has predominantly occurred in peri-urban areas rather than within the urban core. It is mainly determined by unorganised growth, increased immigration, and rapid population growth in the urban fringe areas. The present paper analyses the trend of urbanisation, the land use and land cover change (LULC), and growth of built-up area in the Barasat-Barrackpore urban areas over the last four decades since 1990. The LULC change was prepared by using the Landsat images for the years of 1990, 2000, 2010, and 2020 by applying the maximum likelihood algorithm of supervised classification with the help of Remote Sensing and GIS techniques in ArcGIS. The four urban landscapes viz. urban core area, peri-urban area, scatter settlements, and open spaces were categorised using the NDBI sprawl matrix for analysing the magnitude and direction of urban growth. It is found that the urban population, urban area and urban units increased by 54%, 32%, and 42%, respectively in the period of 2001- 2011. The built-up area increased in 102.50%, while agricultural, vegetation cover, fallow, and wetlands decreased in 23%, 59%, 60%, and 57%, accordingly. It is also known, by conversion matrix, that agricultural lands have been converted into built-up and fallow lands, vegetative cover into built-up, fallow lands and agriculture, fallow lands into built-up and agricultural, wetlands into fallow lands, agricultural and built-up area, respectively. This study may help the planners and policy-makers for sustainable urban development.","城市扩张主要发生在城市边缘区而非城市核心区，其驱动因素主要包括无序增长、移民增加以及城市边缘区人口的快速增长。本文分析了自1990年以来近四十年间Barasat-Barrackpore城市地区的城市化趋势、土地利用与土地覆盖变化（LULC）以及建成区增长情况。利用1990年、2000年、2010年和2020年的Landsat影像，在ArcGIS中借助遥感与GIS技术，采用监督分类中的最大似然算法制备了LULC变化图。运用NDBI蔓延矩阵将四种城市景观类型——城市核心区、城市边缘区、分散聚落和开放空间——进行分类，以分析城市增长的程度和方向。研究发现，2001—2011年间，城市人口、城市面积和城市单元分别增长了54%、32%和42%。建成区面积增加了102.50%，而农业用地、植被覆盖、休耕地和湿地分别减少了23%、59%、60%和57%。通过转移矩阵还发现，农业用地分别转化为建成区和休耕地，植被覆盖分别转化为建成区、休耕地和农业用地，休耕地分别转化为建成区和农业用地，湿地分别转化为休耕地、农业用地和建成区。本研究可为规划者和政策制定者提供可持续城市发展的参考。",null,"American Journal of Remote Sensing","2026-09-24T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"研究印度西孟加拉邦城市边缘区土地利用变化，属城市地理与遥感应用，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。",[19],{"name":10,"url":6},[21,22,23,24],"遥感监测","土地利用变化","城市扩张","印度西孟加拉邦",[26,27],"Barasat Barrackpore 城市扩张","Landsat 土地利用变化 印度","BarasatBarrackpore城市扩张-3497","10.11648\u002Fj.ajrs.20261402.16",{"doi":29,"openalex_id":31,"authors":32,"venue":10,"cited_by_count":15,"oa_url":6,"card":39,"direction":43,"ingested_from":45},"W7214169212",[33,36],{"name":34,"orcid":35},"Madhusudan Pramanick","https:\u002F\u002Forcid.org\u002F0009-0006-6499-5635",{"name":37,"orcid":38},"Lakshminarayan Satpati","https:\u002F\u002Forcid.org\u002F0000-0002-6920-9588",{"tldr":40,"method":41,"finding":42,"direction":43,"opportunity":44},"分析印度Barasat-Barrackpore地区1990-2020年城市扩张与土地利用覆被变化。","Landsat影像监督分类、NDBI蔓延矩阵与ArcGIS空间分析。","建设用地增102.5%，农业、植被、休耕和湿地分别减少23%、59%、60%、57%。","农业遥感与作物表型","可结合多源遥感与机器学习预测城郊农地转换，服务耕地保护与可持续规划。","openalex","2026-09-25T23:30:30.714101Z",{"total":48,"page":49,"page_size":48,"items":50},6,1,[51,88,141,184,227,263],{"id":52,"title":53,"url":54,"summary":55,"summary_zh":56,"content":9,"source_name":57,"source_url":54,"published_at":58,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":59,"sources":61,"tags":63,"search_phrases":66,"slug":69,"view_count":15,"doi":70,"paper":71,"created_at":87},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。","OpenAlex","2026-09-23T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":60},"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。",[62],{"name":57,"url":54},[21,64,23,65],"土地利用","交通空气污染",[67,68],"Greater Gaborone 城市扩张","Sentinel-5P NO2 遥感","GreaterGaborone城市扩张-3506","10.31223\u002Fx5v22m",{"doi":70,"openalex_id":72,"authors":73,"venue":9,"cited_by_count":15,"oa_url":81,"card":82,"direction":43,"ingested_from":45},"W7214110791",[74,77,79],{"name":75,"orcid":76},"Keone Kelobonye","https:\u002F\u002Forcid.org\u002F0000-0002-6652-6262",{"name":78,"orcid":9},"Chenesani Sithole",{"name":80,"orcid":9},"Orateng Amos","https:\u002F\u002Feartharxiv.org\u002Frepository\u002Fobject\u002F15173\u002Fdownload\u002F26308\u002F",{"tldr":83,"method":84,"finding":85,"direction":43,"opportunity":86},"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":89,"title":90,"url":91,"summary":92,"summary_zh":93,"content":9,"source_name":94,"source_url":91,"published_at":95,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":96,"sources":98,"tags":100,"search_phrases":103,"slug":106,"view_count":15,"doi":107,"paper":108,"created_at":140},3491,"Land transformation driven by wind and solar development in Brazilian municipalities","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10113-026-02694-9","Abstract In the last decade, Brazil’s energy sector has been moved from an exclusively hydroelectric and thermal mix to incorporate large-scale production of wind and solar photovoltaic energy. This energy transition is synchronized with the global imperative to reduce greenhouse gas emissions. However, the installation of large-scale wind and solar power plants has led to land use and land cover changes (LUCC) that require more detailed evaluation at the municipal scale. This work uses remote sensing data to examine LUCC in more than 120 Brazilian municipalities where wind and solar power plants have been built. The LUCC were quantified, both before and after the deployment of these plants, to determine landscape changes over time. The results reveal statistically significant correlation and causality between urban expansion in small and medium-sized municipalities within the Caatinga biome and agricultural development both in the Cerrado biome and in municipalities hosting wind projects, all linked to the timeline of renewable energy deployment. Other municipalities grouping criteria, as federative states and economic status did not show significant statistical response when analyzing renewable development and municipal LUCC. These findings offer valuable insights for informing future regional planning and land use policies for balancing national energy goals with local socio-environmental sustainability. Our results point towards a critical need for bottom-up planning approaches that genuinely incorporate local ecological vulnerabilities and socio-economic realities, rather than relying solely on broad administrative or economic metrics, to ensure that renewable energy expansion genuinely supports, rather than compromises, regional sustainability goals.","摘要 在过去十年中，巴西能源结构已从完全依赖水电与火电的组合，转向纳入大规模风能和太阳能光伏发电。这一能源转型与全球减少温室气体排放的紧迫要求同步推进。然而，大规模风能和太阳能电站的建设导致了土地利用与土地覆盖变化（LUCC），需要在市镇尺度上进行更细致的评估。本研究利用遥感数据，考察了巴西120多个已建有风能和太阳能电站的市镇中的LUCC。研究对这些电站部署前后的LUCC进行了量化，以确定景观随时间的变化。结果表明，在卡廷加（Caatinga）生物群落内中小型市镇的城市扩张与塞拉多（Cerrado）生物群落及拥有风电项目的市镇中的农业发展之间，存在统计显著的相关性和因果性，且均与可再生能源部署的时间线相关联。其他市镇分组标准，如联邦州和经济状况，在分析可再生能源发展与市镇LUCC时未显示出显著的统计响应。这些发现为未来区域规划和土地利用政策提供了宝贵见解，有助于在实现国家能源目标与地方社会环境可持续性之间取得平衡。我们的结果表明，迫切需要自下而上的规划方法，真正纳入地方生态脆弱性和社会经济现实，而非仅依赖宽泛的行政或经济指标，以确保可再生能源扩张真正支持而非损害区域可持续发展目标。","Regional Environmental Change","2026-09-25T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":97},"研究巴西风光电站引发的土地利用变化，属能源与区域规划领域，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。",[99],{"name":94,"url":91},[101,21,22,102],"可再生能源","巴西能源转型",[104,105],"巴西 风电 光伏 土地利用","土地利用变化 巴西能源转型 可再生能源 遥感监测","巴西风电光伏土地利用-3491","10.1007\u002Fs10113-026-02694-9",{"doi":107,"openalex_id":109,"authors":110,"venue":94,"cited_by_count":15,"oa_url":91,"card":134,"direction":43,"ingested_from":45},"W7214182759",[111,114,117,119,121,123,126,129,131],{"name":112,"orcid":113},"Felipe Husadel Poyer","https:\u002F\u002Forcid.org\u002F0000-0001-5951-272X",{"name":115,"orcid":116},"Polyanna da Conceição Bispo","https:\u002F\u002Forcid.org\u002F0000-0003-0247-8449",{"name":118,"orcid":9},"Paula Conde Santos Borba",{"name":120,"orcid":9},"Meiriele Alvarenga Cumplido",{"name":122,"orcid":9},"Argemiro Teixeira Leite-Filho",{"name":124,"orcid":125},"Murilo da Costa Ruv Lemes","https:\u002F\u002Forcid.org\u002F0000-0003-2991-7755",{"name":127,"orcid":128},"Christhian Santana Cunha","https:\u002F\u002Forcid.org\u002F0000-0002-0755-6760",{"name":130,"orcid":9},"André F. P. Lucena",{"name":132,"orcid":133},"Ênio Bueno Pereira","https:\u002F\u002Forcid.org\u002F0000-0002-5095-0085",{"tldr":135,"method":136,"finding":137,"direction":138,"opportunity":139},"利用遥感数据评估巴西120多个城市风能和太阳能开发引起的土地利用变化。","遥感数据量化风能和太阳能电站建设前后的土地利用\u002F覆盖变化。","小型城市城市扩张和农业发展与可再生能源部署时间线显著相关。","农业绿色发展与碳","可研究可再生能源开发对当地农业生态系统的长期影响及自下而上的规划方法。","2026-09-25T23:30:30.315316Z",{"id":142,"title":143,"url":144,"summary":145,"summary_zh":146,"content":9,"source_name":147,"source_url":144,"published_at":58,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":148,"score_detail":149,"sources":156,"tags":158,"search_phrases":162,"slug":165,"view_count":15,"doi":166,"paper":167,"created_at":183},3361,"Spatiotemporal Patterns and Associations of Ecological Quality and Carbon Storage Across Three Major Agricultural Provinces in Central China","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15101781","Ecological quality, vegetation productivity, and carbon storage represent different ecosystem properties and may respond differently to land-use change. This study assessed their spatiotemporal patterns and spatial relationships across Hubei, Henan, and Anhui, three major agricultural provinces in central China. Ecological quality was assessed using the Remote Sensing Ecological Index (RSEI), vegetation productivity was estimated as net primary productivity (NPP) using the Carnegie–Ames–Stanford Approach (CASA) model, and carbon storage was estimated using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. Spearman correlation, GeoDetector, and a descriptive coordination index were used to compare their spatial relationships. Ecological quality declined from 2000 to 2010 and recovered only modestly thereafter, with persistently lower values in the eastern and northern plains than in the western and southern mountains. From 1990 to 2020, built-up land expanded by 112.03%, while model-estimated carbon storage declined by 34.59 × 106 t. RSEI and NPP were predominantly positively correlated, but correlations varied substantially among provinces, ecological-quality classes, and land-use types. RSEI had the greatest explanatory power for spatial variation in carbon storage among the composite factors (q = 0.420–0.467), and NDVI was the strongest RSEI component. GeoDetector identified bivariate and nonlinear enhancement, indicating that paired factors explained more spatial variation than individual factors. Moderate and primary coordination together accounted for more than 99% of valid pixels, while severe imbalance declined from 0.88% to 0.44%. These findings show that the three indicators are spatially associated but not interchangeable. Together, the results support protecting forested mountain areas, limiting built-up expansion and cropland loss in plains and urban fringes, and using multiple indicators to identify areas requiring local assessment.","生态质量、植被生产力与碳储量表征不同的生态系统属性，可能对土地利用变化作出不同响应。本研究评估了华中三个农业大省——湖北、河南和安徽——上述指标的时空格局及其空间关系。生态质量采用遥感生态指数（RSEI）评估，植被生产力以Carnegie–Ames–Stanford Approach（CASA）模型估算的净初级生产力（NPP）表征，碳储量则采用生态系统服务与权衡综合评估（InVEST）模型估算。运用Spearman相关分析、地理探测器及描述性协调指数比较其空间关系。2000—2010年生态质量下降，此后仅略有恢复，东部和北部平原的值持续低于西部和南部山区。1990—2020年，建设用地扩张112.03%，而模型估算的碳储量下降34.59 × 10⁶ t。RSEI与NPP总体呈正相关，但相关性在各省份、生态质量等级和土地利用类型间差异显著。在复合因子中，RSEI对碳储量空间变异的解释力最强（q = 0.420–0.467），NDVI是RSEI中最强的组分。地理探测器识别出双因子和非线性增强，表明成对因子解释的空间变异多于单因子。中度协调和初级协调合计占有效像元的99%以上，而严重失调从0.88%降至0.44%。研究结果表明，三个指标在空间上相互关联但不可互换。综合而言，研究结果支持保护山地森林区域、限制平原和城市边缘的建设用地扩张与耕地流失，并利用多指标识别需开展局部评估的区域。","Land",78,{"impact":150,"substance":151,"depth":152,"authority":153,"freshness":154,"relevant":49,"comment":155},16,22,18,14,8,"基于RSEI、CASA与InVEST模型对中部三大农业省生态质量与碳储量的长时序空间关联分析，方法规范、数据扎实，对农业生态保护与国土空间管控有参考价值。",[157],{"name":147,"url":144},[159,21,22,160,161],"农业生态","生态质量","碳储量",[163,164],"湖北 河南 安徽 农业生态","RSEI 碳储量 遥感","湖北河南安徽农业生态-3361","10.3390\u002Fland15101781",{"doi":166,"openalex_id":168,"authors":169,"venue":147,"cited_by_count":15,"oa_url":144,"card":178,"direction":43,"ingested_from":45},"W7214114544",[170,172,175],{"name":171,"orcid":9},"Xiaohan Liu",{"name":173,"orcid":174},"Lei Wang","https:\u002F\u002Forcid.org\u002F0000-0002-7163-3644",{"name":176,"orcid":177},"Hui Min Zhao","https:\u002F\u002Forcid.org\u002F0000-0001-7587-1116",{"tldr":179,"method":180,"finding":181,"direction":138,"opportunity":182},"评估中部三大农业省生态质量、植被生产力与碳储量的时空格局及空间关联。","用RSEI、CASA模型、InVEST模型结合Spearman相关、GeoDet","生态质量先降后微升，建设用地增112%，碳储减3459万吨；三指标空间关联但不可互换。","可探究不同农业省土地利用变化下生态质量与碳储量的非线性驱动机制及分区管控策略。","2026-09-24T23:30:20.927597Z",{"id":185,"title":186,"url":187,"summary":188,"summary_zh":189,"content":9,"source_name":190,"source_url":187,"published_at":191,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":192,"score_detail":193,"sources":196,"tags":198,"search_phrases":202,"slug":205,"view_count":15,"doi":206,"paper":207,"created_at":226},3182,"Linking socioeconomic drivers to land use and land cover change for sustainable landscape governance a systematic review","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs42452-026-09445-9","Land use and land cover (LULC) change is one of the most environmental issues that impact the ecosystems, biodiversity and sustainable resource management in the world. The pressures have increased on land systems especially in the developing countries because of the rapid socioeconomic development, increase in population and demand of food and natural resources. Despite the large number of literature examining the drivers and effects of LULC change, the contributions of socio-economic drivers and local governance projects to sustainable landscape management is still disjointed in the current literature. This paper seeks to summarize existing literature regarding the socio-economic factors determining LULC change and assess the role of local projects and governance systems that can contribute to the attainment of sustainable landscape results. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework was followed in the implementation of a systematic review approach. In the search, peer-reviewed literature on sustainable land management, socioeconomic causes, and land use change was identified using predefined combinations of keywords, which included land use change, socioeconomic reasons, and sustainable land management in major academic databases, including Scopus. Having implemented the inclusion and exclusion criteria, 43 research articles were selected to be analyzed in detail. The information in the sampled studies was analyzed to determine significant socio-economic forces, governance processes, methodology, and sustainability results of LULC change. The findings indicate that agricultural development, population increase, market demand, and urbanization have been one of the most common reported socio-economic forces affecting land transformation. It is also found that local governance structure, community involvement and decentralized resource management initiatives are significant to enhance sustainable landscape management and reduce environmental degradation. In addition, the technology has increased the ability to control and study the land use dynamics through remote sensing and spatial modeling. All in all, this review shows the relevance of considering socio-economic aspects alongside governance models in order to tackle the issues of LULC change. The study provides important policy insights for sustainable land management and identifies future research priorities for developing integrated approaches to landscape governance and environmental sustainability.","土地利用与土地覆盖（LULC）变化是影响全球生态系统、生物多样性和可持续资源管理的最重要环境问题之一。由于社会经济快速发展、人口增长以及对粮食和自然资源需求的增加，土地系统面临的压力不断加大，尤其是在发展中国家。尽管已有大量文献考察了LULC变化的驱动因素和影响，但当前文献中关于社会经济驱动因素和地方治理项目对可持续景观管理贡献的研究仍较为分散。本文旨在总结现有文献中关于决定LULC变化的社会经济因素，并评估地方项目和治理体系在促进实现可持续景观成果方面的作用。本研究采用系统综述方法，并遵循PRISMA（系统综述和荟萃分析首选报告条目）框架。在检索过程中，通过预定义的关键词组合，在Scopus等主要学术数据库中识别了关于可持续土地管理、社会经济成因和土地利用变化的同行评审文献，关键词包括土地利用变化、社会经济原因和可持续土地管理。在实施纳入和排除标准后，共选取43篇研究论文进行详细分析。对样本研究中的信息进行分析，以确定影响LULC变化的重要社会经济力量、治理过程、方法学和可持续性结果。研究结果表明，农业发展、人口增长、市场需求和城市化是影响土地转型的最常见社会经济力量。研究还发现，地方治理结构、社区参与和分散化资源管理举措对于加强可持续景观管理和减少环境退化具有重要意义。此外，技术通过遥感和空间建模提高了控制和研究土地利用动态的能力。总而言之，本综述表明，在应对LULC变化问题时，将社会经济因素与治理模式一并考虑具有重要相关性。该研究为可持续土地管理提供了重要的政策启示，并指出了未来研究优先方向，以开发综合方法来推进景观","Discover Applied Sciences","2026-09-20T00:00:00Z",62,{"impact":154,"substance":152,"depth":150,"authority":194,"freshness":154,"relevant":49,"comment":195},12,"系统综述梳理社会经济驱动与地方治理对土地利用变化的影响，方法规范但结论偏综述性，对农业信息化与乡村治理有参考价值。",[197],{"name":190,"url":187},[199,200,21,22,201],"乡村振兴","可持续农业","景观治理",[203,204],"LULC 社会经济驱动 系统综述","土地利用变化 景观治理 PRISMA","LULC社会经济驱动系统综述-3182","10.1007\u002Fs42452-026-09445-9",{"doi":206,"openalex_id":208,"authors":209,"venue":190,"cited_by_count":15,"oa_url":187,"card":220,"direction":43,"ingested_from":45},"W7213761184",[210,212,215,217],{"name":211,"orcid":9},"Manoj Yadav",{"name":213,"orcid":214},"Vipasha Sharma","https:\u002F\u002Forcid.org\u002F0000-0002-7450-8443",{"name":216,"orcid":9},"Somendra Kumar",{"name":218,"orcid":219},"Arti Choudhary","https:\u002F\u002Forcid.org\u002F0000-0002-1330-4658",{"tldr":221,"method":222,"finding":223,"direction":224,"opportunity":225},"系统综述43篇文献，梳理社会经济驱动因素与地方治理对土地利用变化的影响。","采用PRISMA框架，在Scopus等数据库检索并筛选43篇文献进行系统分析。","农业开发、人口增长、市场需求和城市化是主要驱动力；地方治理与社区参与对可持续景观管理至关重要。","数字乡村与农业信息化","可结合遥感与空间建模，量化社会经济与治理因素对土地利用变化的交互作用，支撑乡村景观治理决策。","2026-09-22T23:30:25.164574Z",{"id":228,"title":229,"url":230,"summary":231,"summary_zh":232,"content":9,"source_name":233,"source_url":230,"published_at":234,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":235,"sources":237,"tags":239,"search_phrases":241,"slug":244,"view_count":15,"doi":245,"paper":246,"created_at":262},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":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":236},"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。",[238],{"name":233,"url":230},[240,21,64,23],"耕地保护",[242,243],"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":245,"openalex_id":247,"authors":248,"venue":233,"cited_by_count":15,"oa_url":256,"card":257,"direction":43,"ingested_from":45},"W7213652939",[249,251,253],{"name":250,"orcid":9},"Amina Kalbaza",{"name":252,"orcid":9},"Belkacem Marir",{"name":254,"orcid":255},"Farida Naceur","https:\u002F\u002Forcid.org\u002F0009-0004-1962-4937","https:\u002F\u002Freference-global.com\u002Fdownload\u002Farticle\u002F10.2478\u002Fjlecol-2026-0038.pdf",{"tldr":258,"method":259,"finding":260,"direction":43,"opportunity":261},"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":264,"title":265,"url":266,"summary":267,"summary_zh":268,"content":9,"source_name":233,"source_url":266,"published_at":234,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":269,"sources":271,"tags":273,"search_phrases":275,"slug":278,"view_count":15,"doi":279,"paper":280,"created_at":291},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":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":270},"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。",[272],{"name":233,"url":266},[274,21,64,23],"深度学习",[276,277],"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":279,"openalex_id":281,"authors":282,"venue":233,"cited_by_count":15,"oa_url":266,"card":286,"direction":43,"ingested_from":45},"W7213670913",[283],{"name":284,"orcid":285},"Gizem Dinç","https:\u002F\u002Forcid.org\u002F0000-0003-2406-604X",{"tldr":287,"method":288,"finding":289,"direction":43,"opportunity":290},"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"]