[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3491":3,"related-3491":65},{"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":64},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。",null,"Regional Environmental Change","2026-09-25T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"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。",[19],{"name":10,"url":6},[21,22,23,24],"可再生能源","遥感监测","土地利用变化","巴西能源转型",[26,27],"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":29,"openalex_id":31,"authors":32,"venue":10,"cited_by_count":15,"oa_url":6,"card":56,"direction":62,"ingested_from":63},"W7214182759",[33,36,39,41,43,45,48,51,53],{"name":34,"orcid":35},"Felipe Husadel Poyer","https:\u002F\u002Forcid.org\u002F0000-0001-5951-272X",{"name":37,"orcid":38},"Polyanna da Conceição Bispo","https:\u002F\u002Forcid.org\u002F0000-0003-0247-8449",{"name":40,"orcid":9},"Paula Conde Santos Borba",{"name":42,"orcid":9},"Meiriele Alvarenga Cumplido",{"name":44,"orcid":9},"Argemiro Teixeira Leite-Filho",{"name":46,"orcid":47},"Murilo da Costa Ruv Lemes","https:\u002F\u002Forcid.org\u002F0000-0003-2991-7755",{"name":49,"orcid":50},"Christhian Santana Cunha","https:\u002F\u002Forcid.org\u002F0000-0002-0755-6760",{"name":52,"orcid":9},"André F. P. Lucena",{"name":54,"orcid":55},"Ênio Bueno Pereira","https:\u002F\u002Forcid.org\u002F0000-0002-5095-0085",{"tldr":57,"method":58,"finding":59,"direction":60,"opportunity":61},"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。","农业遥感与作物表型","openalex","2026-09-25T23:30:30.315316Z",{"total":66,"page":67,"page_size":66,"items":68},6,1,[69,104,148,191,230,263],{"id":70,"title":71,"url":72,"summary":73,"summary_zh":74,"content":9,"source_name":75,"source_url":72,"published_at":76,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":77,"sources":79,"tags":81,"search_phrases":84,"slug":87,"view_count":15,"doi":88,"paper":89,"created_at":103},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。","American Journal of Remote Sensing","2026-09-24T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":78},"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。",[80],{"name":75,"url":72},[22,23,82,83],"城市扩张","印度西孟加拉邦",[85,86],"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":88,"openalex_id":90,"authors":91,"venue":75,"cited_by_count":15,"oa_url":72,"card":98,"direction":62,"ingested_from":63},"W7214169212",[92,95],{"name":93,"orcid":94},"Madhusudan Pramanick","https:\u002F\u002Forcid.org\u002F0009-0006-6499-5635",{"name":96,"orcid":97},"Lakshminarayan Satpati","https:\u002F\u002Forcid.org\u002F0000-0002-6920-9588",{"tldr":99,"method":100,"finding":101,"direction":62,"opportunity":102},"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%。","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。","2026-09-25T23:30:30.714101Z",{"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":13,"is_selected":14,"score":112,"score_detail":113,"sources":120,"tags":122,"search_phrases":126,"slug":129,"view_count":15,"doi":130,"paper":131,"created_at":147},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","2026-09-23T00:00:00Z",78,{"impact":114,"substance":115,"depth":116,"authority":117,"freshness":118,"relevant":67,"comment":119},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。",[121],{"name":110,"url":107},[123,22,23,124,125],"农业生态","生态质量","碳储量",[127,128],"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":130,"openalex_id":132,"authors":133,"venue":110,"cited_by_count":15,"oa_url":107,"card":142,"direction":62,"ingested_from":63},"W7214114544",[134,136,139],{"name":135,"orcid":9},"Xiaohan Liu",{"name":137,"orcid":138},"Lei Wang","https:\u002F\u002Forcid.org\u002F0000-0002-7163-3644",{"name":140,"orcid":141},"Hui Min Zhao","https:\u002F\u002Forcid.org\u002F0000-0001-7587-1116",{"tldr":143,"method":144,"finding":145,"direction":60,"opportunity":146},"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":149,"title":150,"url":151,"summary":152,"summary_zh":153,"content":9,"source_name":154,"source_url":151,"published_at":155,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":156,"score_detail":157,"sources":160,"tags":162,"search_phrases":166,"slug":169,"view_count":15,"doi":170,"paper":171,"created_at":190},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":118,"substance":116,"depth":114,"authority":158,"freshness":118,"relevant":67,"comment":159},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。",[161],{"name":154,"url":151},[163,164,22,23,165],"乡村振兴","可持续农业","景观治理",[167,168],"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":170,"openalex_id":172,"authors":173,"venue":154,"cited_by_count":15,"oa_url":151,"card":184,"direction":62,"ingested_from":63},"W7213761184",[174,176,179,181],{"name":175,"orcid":9},"Manoj Yadav",{"name":177,"orcid":178},"Vipasha Sharma","https:\u002F\u002Forcid.org\u002F0000-0002-7450-8443",{"name":180,"orcid":9},"Somendra Kumar",{"name":182,"orcid":183},"Arti Choudhary","https:\u002F\u002Forcid.org\u002F0000-0002-1330-4658",{"tldr":185,"method":186,"finding":187,"direction":188,"opportunity":189},"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":192,"title":193,"url":194,"summary":195,"summary_zh":196,"content":9,"source_name":197,"source_url":194,"published_at":198,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":199,"sources":201,"tags":203,"search_phrases":206,"slug":209,"view_count":15,"doi":210,"paper":211,"created_at":229},2065,"Multitemporal Assessment of Anthropogenic Pressure Through Land Use Change and the Anthropic Transformation Index (ATI) in the Piratininga Lagoon System Watershed, Brazil","https:\u002F\u002Fdoi.org\u002F10.14393\u002Fsn-v38-2026-81975","This study used remote sensing and geographic information systems to perform a multitemporal analysis of land-use changes and assess anthropogenic pressure using the Anthropic Transformation Index (ATI) in the Piratininga lagoon system watershed in the municipality of Niterói, Rio de Janeiro, Brazil. We used a multitemporal approach with aerial photographs from 1976 (FAB-DRM) and high-resolution satellite images from 2003, 2013, and 2022 obtained from Google Earth Pro. The data were processed through georeferencing, manual vectorization, and classification into nine (9) land use classes based on the MapBiomas Collection 8 classification legend. The results show a continuous expansion of urban areas throughout the period analyzed, particularly in environmentally sensitive areas near the margins of the lagoon system, leading to the suppression of riparian vegetation and increased pressure on the aquatic system. Although forest cover has increased in recent years, this change is mainly associated with the regeneration of secondary vegetation rather than effective ecological restoration. The ITA value of 5.292 classifies the watershed as degraded, reflecting high anthropogenic alteration. These findings highlight the need to combine spatial indicators with environmental management strategies to support urban planning and ecosystem conservation. The proposed approach provides a robust framework for monitoring anthropogenic impacts on coastal lagoon systems and supports decision-making for sustainable watershed management.","本研究利用遥感与地理信息系统，对巴西里约热内卢州尼泰罗伊市皮拉蒂宁加泻湖系统流域的土地利用变化进行了多时相分析，并采用人类改造指数（Anthropic Transformation Index, ATI）评估了人为压力。研究采用多时相方法，使用了1976年的航空照片（FAB-DRM）以及2003年、2013年和2022年从Google Earth Pro获取的高分辨率卫星影像。数据经地理配准、人工矢量化，并依据MapBiomas第8版分类图例划分为九（9）类土地利用类型。结果表明，在整个分析时期内，城市区域持续扩张，尤其是在泻湖系统边缘附近的环境敏感区域，导致河岸植被遭到破坏，水生系统承受的压力加剧。尽管近年来森林覆盖有所增加，但这一变化主要与次生植被的再生有关，而非有效的生态恢复。ATI值为5.292，将该流域归类为退化状态，反映出较高的人为改造程度。这些发现凸显了将空间指标与环境管理策略相结合以支持城市规划和生态系统保护的必要性。所提出的方法为监测沿海泻湖系统的人为影响提供了稳健框架，并为可持续流域管理决策提供了支持。","Sociedade & natureza","2026-09-08T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":200},"研究聚焦巴西沿海潟湖流域土地利用与人类活动压力评估，属城市生态与遥感领域，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。",[202],{"name":197,"url":194},[22,23,204,205],"流域生态","人居环境压力",[207,208],"人居环境压力 土地利用变化 流域生态 遥感监测","人居环境压力 土地利用变化","人居环境压力土地利用变化流域生态遥感监测-2065","10.14393\u002Fsn-v38-2026-81975",{"doi":210,"openalex_id":212,"authors":213,"venue":197,"cited_by_count":15,"oa_url":223,"card":224,"direction":62,"ingested_from":63},"W7211972914",[214,217,220],{"name":215,"orcid":216},"Minércia Job Macamo","https:\u002F\u002Forcid.org\u002F0009-0002-8955-0705",{"name":218,"orcid":219},"Braian de Oliveira Salvador","https:\u002F\u002Forcid.org\u002F0009-0006-0514-3694",{"name":221,"orcid":222},"Fábio Ferreira Dias","https:\u002F\u002Forcid.org\u002F0000-0003-2078-7405","https:\u002F\u002Fseer.ufu.br\u002Findex.php\u002Fsociedadenatureza\u002Farticle\u002Fdownload\u002F81975\u002F44391",{"tldr":225,"method":226,"finding":227,"direction":62,"opportunity":228},"基于多时相遥感评估巴西Piratininga泻湖流域土地利用变化与人为压力。","1976年航拍与2003-2022年高分卫星影像，地理配准、矢量化并分9类计算A","城市持续扩张侵占敏感区，森林增加多为次生恢复，ATI=5.292属退化，人为扰动高。","可将ATI与流域生态服务、水质监测耦合，构建沿海流域人为压力预警与规划决策模型。","2026-09-10T23:30:30.399094Z",{"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":15,"score_detail":238,"sources":240,"tags":242,"search_phrases":246,"slug":249,"view_count":15,"doi":250,"paper":251,"created_at":262},3519,"Spatial Analysis of Pipeline Fire Incidents and their Effects on Vegetation Health Across Buffer Zones in Ogba\u002FEgbema\u002FNdoni, Rivers State, Nigeria","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijgem.vol.12.no8.2026.pg243.260","This research focused on analyzing the geographical distribution of pipeline fire occurrences and their impact on the health of vegetation in the buffer zones of the Ogba\u002FEgbema\u002FNdoni Local Government Area in Rivers State, Nigeria. A cross-sectional survey approach was utilized alongside a quasi-experimental design to evaluate the environmental differences between sites that were affected and those that served as control. Primary data was gathered through soil samples and structured surveys administered to 400 participants, while secondary sources included records of pipeline fire occurrences from 2010 to 2019, Landsat 8 satellite images, MODIS datasets, and organizational reports. The health of vegetation was measured with the Normalised Difference Vegetation Index (NDVI), and analyses of spatial data such as buffer zones, overlays, and hotspot mapping were executed using GIS methods. Soil and environmental factors were evaluated using established laboratory techniques, with inferential statistical methods such as ANOVA and regression analyses applied. Results illustrated a distinct spatial trend in vegetation health in relation to distance from the pipeline. Average values for vegetation health showed an increase from 0.5087 at a 50 m distance to 0.5619 at 1000 m, suggesting that ecological conditions improve with greater distance from pipeline fire incidents. The ANOVA outcomes indicated that the observed differences were statistically significant (F = 11.69, p = 0.024), validating that the proximity to pipeline fire events has a quantifiable impact on vegetation. Additional post-hoc analysis revealed that the most notable enhancement in vegetation health was found within the 1000 m buffer zone. Regression analysis indicated that distance was responsible for 35.2% of the variation in vegetation health (R² = 0.352); however, the separate effect of distance was not statistically significant, implying that recovery patterns may not follow a linear trajectory. A comparative assessment between areas that were affected and those that were not indicated slightly diminished vegetation health in the impacted regions (mean = 0.4585) versus the control regions (mean = 0.4652). The research concludes that incidences of pipeline fires considerably harm vegetation health nearby, with evidence of gradual ecological recovery as distance increases.These results highlight the necessity of conducting spatially informed environmental monitoring and the implementation of intervention strategies in regions involved in oil production","本研究聚焦于分析尼日利亚河流州奥格巴\u002F埃格贝马\u002F恩多尼地方政府区管道火灾发生的地理分布及其对缓冲区植被健康的影响。研究采用横断面调查方法与准实验设计相结合，以评估受影响地点与对照地点之间的环境差异。原始数据通过土壤样本和对400名参与者进行的结构化问卷调查收集，二手数据来源包括2010年至2019年管道火灾发生记录、Landsat 8卫星影像、MODIS数据集及组织机构报告。植被健康状况采用归一化植被指数（NDVI）进行测量，缓冲区分析、叠加分析和热点制图等空间数据分析通过GIS方法执行。土壤和环境因子采用既定实验室技术进行评估，并应用方差分析（ANOVA）和回归分析等推断统计方法。结果表明，植被健康与距管道距离之间呈现明显的空间趋势。植被健康平均值从50米距离处的0.5087增至1000米处的0.5619，表明距管道火灾事件越远，生态条件越好。方差分析结果表明，所观察到的差异具有统计学显著性（F = 11.69，p = 0.024），证实了距管道火灾事件的邻近程度对植被具有可量化的影响。进一步的事后分析显示，植被健康最显著的改善出现在1000米缓冲区内。回归分析表明，距离解释了植被健康35.2%的变异（R² = 0.352）；然而，距离的单独效应未达到统计学显著性，暗示恢复模式可能并非呈线性轨迹。受影响区域与未受影响区域的比较评估显示，受影响区域的植被健康（均值 = 0.4585）略低于对照区域（均值 = 0.4652）。研究结论认为，管道火灾事件对附近植被健康造成显著损害，并有证据表明随着距离增加，生态呈逐步恢复趋势。这些结果凸显了开展空间信息化环境监测的必要性以及实施相关","IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT","2026-09-22T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":239},"研究主题为尼日利亚油气管道火灾对植被的影响，属环境遥感领域，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。",[241],{"name":236,"url":233},[22,243,244,245],"植被健康","油气管道","生态环境",[247,248],"尼日利亚 管道火灾 植被","NDVI 缓冲区 植被健康","尼日利亚管道火灾植被-3519","10.56201\u002Fijgem.vol.12.no8.2026.pg243.260",{"doi":250,"openalex_id":252,"authors":253,"venue":236,"cited_by_count":15,"oa_url":256,"card":257,"direction":60,"ingested_from":63},"W7214036751",[254],{"name":255,"orcid":9},"Y. Y. Okatahi","https:\u002F\u002Fiiardjournals.org\u002Fget\u002FIJGEM\u002FVOL. 12 NO. 8 2026\u002FSpatial Analysis of Pipeline Fire Incidents 243-260.pdf",{"tldr":258,"method":259,"finding":260,"direction":62,"opportunity":261},"分析尼日利亚管道火灾空间分布及其对缓冲区植被健康的影响。","用NDVI、Landsat 8、MODIS与GIS缓冲区及热点分析，结合ANOV","距管道越远植被健康越好，1000米缓冲区恢复最明显，距离解释35.2%变异。","可结合时序遥感与机器学习，量化管道火灾后植被非线性恢复轨迹及驱动因子。","2026-09-25T23:31:11.991798Z",{"id":264,"title":265,"url":266,"summary":267,"summary_zh":268,"content":9,"source_name":269,"source_url":266,"published_at":237,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":270,"score_detail":271,"sources":276,"tags":278,"search_phrases":283,"slug":286,"view_count":15,"doi":287,"paper":288,"created_at":303},3514,"Artificial Intelligence for Climate Adaptation Decision Support in Data-Poor Developing Regions","https:\u002F\u002Fdoi.org\u002F10.22541\u002Fessoar.15009304\u002Fv1","Climate adaptation is a sequence of decisions taken under uncertainty, and the regions where climate risk is rising fastest are those with the least information to guide them. Only about 10 per cent of deaths are registered in the WHO African Region; nearly 90 per cent of required surface weather observations are missing across least developed countries and small island states; and only 40 per cent of African countries have multi-hazard early warning systems. This report examines whether artificial intelligence — machine learning, remote sensing and predictive analytics — can close these information gaps and improve adaptation decisions in data-poor developing regions. The report organises the problem as a decision chain with three information gaps — observation, prediction and decision — followed by an action gap that AI cannot close. It finds that AI has advanced fastest on prediction: AI weather models became operational at ECMWF in 2025, AI flood forecasts now cover 100 countries and about 700 million people, satellite nowcasts reach a continent with little radar, and AI monsoon-onset forecasts reached 38 million Indian farmers in 2025. On observation, satellite machine learning explains around 70 per cent of the variation in village wealth but only up to about half of the variation in changes over time. On decision, evidence from Togo, Bangladesh and Kenya shows that AI-assisted targeting, forecast-based triggers and satellite index insurance can deliver assistance faster and better, within clear limits. The report's central argument is the ground-truth paradox: AI stretches scarce observations further, but every AI product must be trained and verified against ground truth, so reliance on AI raises the value of each remaining station, survey and label. The 2025 interruption of FEWS NET and termination of the DHS Program show how fragile that foundation is. Because the value of information is the product of skill, lead time, reach, trust and the means to act, the highest returns usually lie not in more skilful models but in dissemination, institutions and prearranged finance. The report sets out a risk register, a six-principle policy framework, actions by actor and a roadmap to 2030.","气候适应是在不确定性下做出的一系列决策，而气候风险上升最快的地区恰恰是指导信息最匮乏的地区。世卫组织非洲区域仅登记了约10%的死亡病例；最不发达国家和小岛屿国家缺失了近90%所需的地面天气观测数据；仅有40%的非洲国家拥有多灾种早期预警系统。本报告考察人工智能——机器学习、遥感和预测分析——能否弥合这些信息缺口，改善数据匮乏的发展中地区的适应决策。报告将这一问题组织为一条决策链，包含三个信息缺口——观测、预测和决策——以及一个人工智能无法弥合的行动缺口。报告发现，人工智能在预测方面进展最快：人工智能天气模型于2025年在欧洲中期天气预报中心（ECMWF）投入业务运行，人工智能洪水预报现已覆盖100个国家和约7亿人口，卫星临近预报覆盖了一个几乎没有雷达的大陆，人工智能季风爆发预报于2025年惠及3800万印度农民。在观测方面，卫星机器学习可解释村庄财富约70%的变异，但对时间变化的解释力仅约一半。在决策方面，来自多哥、孟加拉国和肯尼亚的证据表明，人工智能辅助的目标定位、基于预报的触发机制和卫星指数保险能够在明确限度内更快、更好地提供援助。报告的核心论点是地面真值悖论：人工智能能够将稀缺的观测数据发挥更大效用，但每个人工智能产品都必须依据地面真值进行训练和验证，因此对人工智能的依赖提升了每一个剩余站点、调查和标注数据的价值。2025年FEWS NET的中断和DHS项目的终止表明这一基础何等脆弱。由于信息的价值是技能、提前期、覆盖面、信任和行动手段的乘积，最高回报通常不在于更精密的模型，而在于传播、制度和预先安排的融资。报告提出了风险登记册、六项原则的政策框架、各行为主体的行动以及到2030年的路线图。","OpenAlex",86,{"impact":115,"substance":272,"depth":273,"authority":274,"freshness":118,"relevant":67,"comment":275},24,19,13,"系统梳理AI在数据匮乏地区气候适应决策中的观测、预测与决策三类信息缺口，提出“地面真值悖论”，数据与结论扎实，对农业信息化与智慧农业有较强参考价值。",[277],{"name":269,"url":266},[279,280,281,22,282],"智慧农业","农业人工智能","气候适应","早期预警",[284,285],"AI 气候适应 决策支持","数据匮乏地区 农业预警","AI气候适应决策支持-3514","10.22541\u002Fessoar.15009304\u002Fv1",{"doi":287,"openalex_id":289,"authors":290,"venue":9,"cited_by_count":15,"oa_url":296,"card":297,"direction":188,"ingested_from":63},"W7214097088",[291,293],{"name":292,"orcid":9},"H Heuristics",{"name":294,"orcid":295},"Hunter Hughes","https:\u002F\u002Forcid.org\u002F0009-0002-6161-9387","https:\u002F\u002Fessopenarchive.org\u002Fdoi\u002Fpdf\u002F10.22541\u002Fessoar.15009304\u002Fv1",{"tldr":298,"method":299,"finding":300,"direction":301,"opportunity":302},"评估AI能否弥补数据匮乏地区气候适应决策的信息缺口，并提出地面真值悖论。","梳理观测、预测、决策三环节，结合AI天气模型、卫星ML与多国案例证据。","AI预测进展最快，但依赖地面真值；最高回报常在传播、制度与预置资金而非模型。","农业人工智能与决策模型","可研究AI辅助农业气候适应中地面真值稀缺下的验证与信任机制，及预置资金触发设计。","2026-09-25T23:30:46.008325Z"]