[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3182":3,"related-3182":59},{"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":23,"tags":25,"search_phrases":31,"slug":34,"view_count":35,"doi":36,"paper":37,"created_at":58},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",null,"Discover Applied Sciences","2026-09-20T00:00:00Z","论文",10,false,62,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":22},8,18,16,12,1,"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。",[24],{"name":10,"url":6},[26,27,28,29,30],"乡村振兴","可持续农业","遥感监测","土地利用变化","景观治理",[32,33],"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",0,"10.1007\u002Fs42452-026-09445-9",{"doi":36,"openalex_id":38,"authors":39,"venue":10,"cited_by_count":35,"oa_url":6,"card":50,"direction":56,"ingested_from":57},"W7213761184",[40,42,45,47],{"name":41,"orcid":9},"Manoj Yadav",{"name":43,"orcid":44},"Vipasha Sharma","https:\u002F\u002Forcid.org\u002F0000-0002-7450-8443",{"name":46,"orcid":9},"Somendra Kumar",{"name":48,"orcid":49},"Arti Choudhary","https:\u002F\u002Forcid.org\u002F0000-0002-1330-4658",{"tldr":51,"method":52,"finding":53,"direction":54,"opportunity":55},"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。","农业遥感与作物表型","openalex","2026-09-22T23:30:25.164574Z",{"total":60,"page":21,"page_size":60,"items":61},6,[62,105,152,189,228,259],{"id":63,"title":64,"url":65,"summary":66,"summary_zh":67,"content":9,"source_name":68,"source_url":65,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":69,"score_detail":70,"sources":75,"tags":77,"search_phrases":81,"slug":84,"view_count":35,"doi":85,"paper":86,"created_at":104},3056,"Agricultural geographical indication certification and county cropland area in China: evidence from a multi-period difference-in-differences analysis","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1954068","Agricultural geographical indication (AGI) certification is promoted as a market-based instrument for place-based food systems, yet whether it protects the agricultural land base remains contested. Because county cropland area is the quantity on which grain production capacity is calculated, whether certification changes that quantity is a first-order policy question. This study estimates the effect of a county’s first AGI certification on cropland area using a panel of Chinese counties, remotely sensed land-cover data, and a multi-period difference-in-differences design. The outcome measures current cropland area relative to a county-specific historical average and therefore captures land-cover quantity rather than land quality. Because certification is granted in different years across counties, a heterogeneity-robust group-time estimator serves as the primary specification and conventional two-way fixed effects provide the benchmark. The benchmark model returns a positive and significant association, whereas the group-time estimator returns a positive but statistically imprecise average effect. A decomposition shows that most of the benchmark coefficient rests on comparisons between counties certified in different years. Excluding the earliest certified cohort leaves the average effect unchanged and reveals a positive dynamic response that emerges only after several years. Agricultural labor productivity transmits a small share of the association, whereas agricultural service output intensity is not robust once the sample is held constant. The choice of estimand therefore determines whether certification appears to protect cropland.","农业地理标志（AGI）认证被推广为一种面向地方食物体系的基于市场的工具，但其能否保护农业用地基础仍存争议。由于县域耕地面积是计算粮食生产能力所依据的数量，认证是否改变这一数量是一个首要的政策问题。本研究利用中国县域面板数据、遥感土地覆盖数据和多期双重差分设计，估计一个县首次获得AGI认证对耕地面积的影响。结果变量衡量的是当前耕地面积相对于该县特定历史平均水平的比值，因此捕捉的是土地覆盖数量而非土地质量。由于各县获得认证的年份不同，异质性稳健的组别—时期估计量作为主要设定，传统双向固定效应作为基准。基准模型返回正向且显著的关联，而组别—时期估计量返回正向但统计上不精确的平均效应。分解表明，基准系数主要依赖于不同年份获得认证的县之间的比较。排除最早获得认证的队列后，平均效应保持不变，并揭示出一种仅在数年后才出现的正向动态响应。农业劳动生产率传递了该关联的一小部分，而一旦样本保持不变，农业服务产出强度便不再稳健。因此，估计量的选择决定了认证是否看起来保护了耕地。","Frontiers in Sustainable Food Systems",80,{"impact":18,"substance":71,"depth":18,"authority":72,"freshness":73,"relevant":21,"comment":74},22,13,9,"基于遥感与多期双重差分的县域实证研究，方法规范、结论对地理标志与耕地保护政策有参考价值，但属学术论文、影响面偏细分领域。",[76],{"name":68,"url":65},[26,78,79,28,80],"地理标志","耕地保护","粮食产能",[82,83],"农业地理标志 耕地面积","多期双重差分 耕地","农业地理标志耕地面积-3056","10.3389\u002Ffsufs.2026.1954068",{"doi":85,"openalex_id":87,"authors":88,"venue":68,"cited_by_count":35,"oa_url":65,"card":99,"direction":54,"ingested_from":57},"W7213780571",[89,92,94,96],{"name":90,"orcid":91},"Ruofan Liao","https:\u002F\u002Forcid.org\u002F0009-0009-5058-7368",{"name":93,"orcid":9},"Qingqing Fan",{"name":95,"orcid":9},"Mi Tan",{"name":97,"orcid":98},"Jianxu Liu","https:\u002F\u002Forcid.org\u002F0000-0002-2128-6015",{"tldr":100,"method":101,"finding":102,"direction":54,"opportunity":103},"用多期双重差分法估计中国县域首次获农产品地理标志认证对耕地面积的影响。","中国县域面板、遥感土地覆盖数据、多期DID与异质性稳健组时估计量。","基准模型显示正向显著关联，但组时估计量不精确，效应主要来自不同认证年份县间比较。","可结合遥感与因果推断，检验地理标志认证对耕地保护、农业服务与劳动力生产率的长期动态机制。","2026-09-21T23:30:07.723086Z",{"id":106,"title":107,"url":108,"summary":109,"summary_zh":110,"content":9,"source_name":111,"source_url":108,"published_at":112,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":113,"score_detail":114,"sources":118,"tags":120,"search_phrases":124,"slug":127,"view_count":35,"doi":128,"paper":129,"created_at":151},2785,"Remote Sensing-Based Assessment of Interannual Change of the Ecological Sustainability of Agricultural Landscapes in Northern Benin","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu18189542","Assessing ecological sustainability in agricultural landscapes requires approaches that integrate land-cover change, its ecological effects, and their spatial determinants. This study analysed changes between 2023 and 2024 across six agricultural landscapes in northern Benin using the Landscape Ecological Sustainability Index (LESI), calculated for 1 km2 landscape cells from Human Disturbance Coefficients (HDCs) assigned to satellite-derived land-cover classes. Interannual changes were assessed using ΔLESI, the Wilcoxon signed-rank test, Global Moran’s I, and the Local Indicators of Spatial Association (LISA). The contribution of land-cover transitions to HDC change was quantified and a Monte Carlo sensitivity analysis based on classification accuracy was additionally used to assess the robustness of the observed interannual changes to classification uncertainty, and complementary univariate and bivariate regression models examined the relationships between LESI variations and 11 biophysical and geographical variables, including their pairwise interactions. The interannual comparison between 2023 and 2024 showed a decrease in ecological sustainability in four sites, a slight increase in one, and relative stability in another. Significant spatial autocorrelation was detected in all sites (Moran’s I = 0.44–0.65; p \u003C 0.001). Some spatially limited transitions exerted important effects on HDC change. Sensitivity analysis confirmed that the direction of ΔHDC was robust to classification uncertainty in five of the six landscapes. The low explanatory power of the univariate models (R2 ≤ 0.081) indicates that no single variable independently explains the observed changes. The bivariate interaction analyses further showed that some associations were context-dependent, although their explanatory power remained limited, with the best-performing model accounting for only 10.9% of the variation in ΔLESI. This integrated framework provides a reproducible approach for assessing, mapping, and prioritising interannual change of ecological sustainability from remote sensing data to support evidence-based agricultural landscape planning and sustainable land management.","评估农业景观的生态可持续性，需要整合土地覆盖变化、其生态效应及其空间决定因素的方法。本研究利用景观生态可持续性指数（Landscape Ecological Sustainability Index, LESI），分析了贝宁北部六个农业景观在2023年至2024年间的变化。该指数基于分配给卫星衍生土地覆盖类别的人类干扰系数（Human Disturbance Coefficients, HDCs），以1 km²景观单元为尺度进行计算。年际变化通过ΔLESI、Wilcoxon符号秩检验、全局Moran's I和局部空间关联指标（Local Indicators of Spatial Association, LISA）进行评估。研究量化了土地覆盖转变对HDC变化的贡献，并额外采用基于分类精度的蒙特卡洛敏感性分析，以评估观测到的年际变化对分类不确定性的稳健性；同时，通过互补的单变量和双变量回归模型，检验了LESI变化与11个生物物理和地理变量之间的关系，包括其两两交互作用。2023年至2024年的年际比较显示，四个样点的生态可持续性下降，一个样点略有上升，另一个样点则相对稳定。所有样点均检测到显著的空间自相关（Moran's I = 0.44–0.65；p \u003C 0.001）。一些空间范围有限的转变对HDC变化产生了重要影响。敏感性分析证实，在六个景观中的五个，ΔHDC的方向对分类不确定性具有稳健性。单变量模型的解释力较低（R² ≤ 0.081），表明没有单一变量能独立解释观测到的变化。双变量交互分析进一步表明，一些关联具有情境依赖性，尽管其解释力仍然有限，表现最佳的模型仅解释了ΔLESI变异的10.9%。这一整合框架提供了一种可重复的方法，用于从遥感数据评估、制图和优先排序生态可持续性的年际变化，以支持基于证据的农业景观规划和可持续土地管理。","Sustainability","2026-09-17T00:00:00Z",67,{"impact":17,"substance":115,"depth":116,"authority":72,"freshness":73,"relevant":21,"comment":117},20,17,"方法体系完整、结论稳健的遥感评估研究，但聚焦西非贝宁地方尺度，对国内三农实践的直接参考价值有限。",[119],{"name":111,"url":108},[27,121,28,122,123],"农业生态","土地利用","贝宁",[125,126],"可持续农业 农业生态 土地利用 遥感监测","可持续农业 农业生态","可持续农业农业生态土地利用遥感监测-2785","10.3390\u002Fsu18189542",{"doi":128,"openalex_id":130,"authors":131,"venue":111,"cited_by_count":35,"oa_url":108,"card":146,"direction":56,"ingested_from":57},"W7213443483",[132,135,138,140,143],{"name":133,"orcid":134},"Mikhaïl Jean De Dieu Dotou Padonou","https:\u002F\u002Forcid.org\u002F0009-0006-8295-4984",{"name":136,"orcid":137},"Antoine Denis","https:\u002F\u002Forcid.org\u002F0000-0002-3245-7131",{"name":139,"orcid":9},"Yvon-Carmen Hountondji",{"name":141,"orcid":142},"Bernard Tychon","https:\u002F\u002Forcid.org\u002F0000-0002-9367-7306",{"name":144,"orcid":145},"Gérard Nounagnon Gouwakinnou","https:\u002F\u002Forcid.org\u002F0000-0002-3595-9831",{"tldr":147,"method":148,"finding":149,"direction":56,"opportunity":150},"基于遥感与景观生态可持续性指数评估贝宁北部农业景观2023-2024年际生态可持续性变化。","用LISI指数、ΔLESI、空间自相关、蒙特卡洛敏感性分析及回归模型分析土地覆盖","四个景观生态可持续性下降，空间自相关显著，但单变量与双变量模型解释力均很低。","可引入时序遥感与机器学习，探究多尺度驱动因子交互对农业景观可持续性年际变化的非线性影响。","2026-09-17T23:30:34.344705Z",{"id":153,"title":154,"url":155,"summary":156,"summary_zh":157,"content":9,"source_name":158,"source_url":155,"published_at":159,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":160,"score_detail":161,"sources":164,"tags":166,"search_phrases":170,"slug":173,"view_count":35,"doi":174,"paper":175,"created_at":188},2677,"Spatial Analysis of Deforestation Prone Zones Resulting from the Expansion of Patchouli Plantations and the Exploitation of Fuelwood for Distillation","https:\u002F\u002Fdoi.org\u002F10.18343\u002Fjipi.31.4.679","Deforestation in the inland regions of West Sulawesi has been increasing alongside the expansion of patchouli plantations and the high dependence of the patchouli oil distillation industry on fuelwood. This study aims to analyze changes in vegetation cover, identify the spatial distribution and hotspots of deforestation, and delineate deforestation-prone zones associated with patchouli plantation and distillation activities in Mamasa Regency. The analysis employed a spatial approach based on Geographic Information Systems (GIS), utilizing the Normalized Difference Vegetation Index (NDVI) derived from Sentinel-2 imagery for 2018 and 2025, vegetation change analysis (ΔNDVI), and Kernel Density Estimation (KDE) to identify deforestation hotspots. The results indicate that dense vegetation cover has experienced a significant reduction and spatial fragmentation, particularly in areas with high accessibility. Deforestation is concentrated in the central and eastern parts of Mamasa Regency and shows a strong spatial association with patchouli plantation and distillation locations. The highest deforestation intensity occurred during the 2021–2022 period, coinciding with increased patchouli oil prices that stimulated large-scale land clearing. High to very high deforestation-prone zones are generally located around patchouli distillation sites and areas subjected to intensive land use pressure. Based on IFAS and EFAS analyses, deforestation mitigation strategies should focus on transitioning to renewable energy, agroforestry-based commodity diversification, strengthening forest governance, and rehabilitating degraded areas to support sustainable forest management. Keywords: deforestation, fuelwood, patchouli, SWOT analysis, West Sulawesi","西苏拉威西内陆地区的森林砍伐日益加剧，其背景是广藿香种植园的扩张以及广藿香油蒸馏产业对薪材的高度依赖。本研究旨在分析马马萨县植被覆盖的变化，识别森林砍伐的空间分布与热点区域，并划定与广藿香种植及蒸馏活动相关的森林砍伐易发区。分析采用基于地理信息系统（GIS）的空间方法，利用2018年和2025年Sentinel-2影像衍生的归一化植被指数（NDVI）、植被变化分析（ΔNDVI）以及核密度估计（KDE）来识别森林砍伐热点。结果表明，茂密植被覆盖经历了显著减少和空间破碎化，在可达性较高的区域尤为明显。森林砍伐集中于马马萨县中部和东部，并与广藿香种植园及蒸馏地点表现出强烈的空间关联。森林砍伐强度最高的时期为2021—2022年，恰逢广藿香油价格上涨刺激了大规模土地开垦。高至极高森林砍伐易发区通常位于广藿香蒸馏点周围及承受密集土地利用压力的区域。基于IFAS和EFAS分析，森林砍伐减缓策略应侧重于向可再生能源转型、基于农林业的商品多样化、加强森林治理以及恢复退化区域，以支持可持续森林管理。关键词：森林砍伐，薪材，广藿香，SWOT分析，西苏拉威西","Jurnal Ilmu Pertanian Indonesia","2026-09-14T00:00:00Z",76,{"impact":19,"substance":162,"depth":116,"authority":72,"freshness":73,"relevant":21,"comment":163},21,"基于Sentinel-2与NDVI的毁林热点空间分析，方法扎实、数据新，对热带经济作物扩张与薪柴依赖的生态治理有参考价值。",[165],{"name":158,"url":155},[27,28,167,168,169],"生物质能源","毁林治理","广藿香",[171,172],"可持续农业 生物质能源 毁林治理 遥感监测","可持续农业 生物质能源","可持续农业生物质能源毁林治理遥感监测-2677","10.18343\u002Fjipi.31.4.679",{"doi":174,"openalex_id":176,"authors":177,"venue":158,"cited_by_count":35,"oa_url":182,"card":183,"direction":56,"ingested_from":57},"W7212772624",[178,180],{"name":179,"orcid":9},"Sadly Ashari Said",{"name":181,"orcid":9},"Haryanto Asri","https:\u002F\u002Fjournal.ipb.ac.id\u002FJIPI\u002Farticle\u002Fdownload\u002F70869\u002F34175",{"tldr":184,"method":185,"finding":186,"direction":56,"opportunity":187},"基于GIS分析西苏拉威西广藿香种植与蒸馏燃料需求导致的森林砍伐易发区。","Sentinel-2 NDVI与ΔNDVI、核密度估计及IFAS\u002FEFAS分析。","2018-2025年密植被显著减少，砍伐热点集中于中东部，2021-2022年因广藿香油涨价加剧。","可结合时序遥感与价格数据，构建经济驱动型毁林预警模型，拓展农业遥感在政策评估中的应用。","2026-09-16T23:30:32.215138Z",{"id":190,"title":191,"url":192,"summary":193,"summary_zh":194,"content":9,"source_name":195,"source_url":192,"published_at":196,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":35,"score_detail":197,"sources":199,"tags":201,"search_phrases":204,"slug":207,"view_count":35,"doi":208,"paper":209,"created_at":227},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":35,"substance":35,"depth":35,"authority":35,"freshness":35,"relevant":35,"comment":198},"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。",[200],{"name":195,"url":192},[28,29,202,203],"流域生态","人居环境压力",[205,206],"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":208,"openalex_id":210,"authors":211,"venue":195,"cited_by_count":35,"oa_url":221,"card":222,"direction":56,"ingested_from":57},"W7211972914",[212,215,218],{"name":213,"orcid":214},"Minércia Job Macamo","https:\u002F\u002Forcid.org\u002F0009-0002-8955-0705",{"name":216,"orcid":217},"Braian de Oliveira Salvador","https:\u002F\u002Forcid.org\u002F0009-0006-0514-3694",{"name":219,"orcid":220},"Fábio Ferreira Dias","https:\u002F\u002Forcid.org\u002F0000-0003-2078-7405","https:\u002F\u002Fseer.ufu.br\u002Findex.php\u002Fsociedadenatureza\u002Farticle\u002Fdownload\u002F81975\u002F44391",{"tldr":223,"method":224,"finding":225,"direction":56,"opportunity":226},"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":229,"title":230,"url":231,"summary":232,"summary_zh":9,"content":9,"source_name":233,"source_url":9,"published_at":234,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":235,"score_detail":236,"sources":238,"tags":240,"search_phrases":245,"slug":248,"view_count":35,"doi":9,"paper":249,"created_at":258},3248,"Crop recommendation in precision agriculture: a systematic literature review of methods, trends, and challenges（精准农业中的作物推荐：方法、趋势与挑战系统综述）","https:\u002F\u002Fm2.mtmt.hu\u002Fapi\u002Fpublication\u002F37471110","MDPI 发表精准农业作物推荐方法系统综述：从183项研究中严格筛选129篇发表于2020-2026年的文章，使用PRISMA协议进行综合分析。研究表明集成学习方法（特别是随机森林和XGBoost）在各种农业数据集的预测性能上具有强大能力；支持向量机、决策树、k近邻等传统ML方法仍被广泛使用；同时CNN和LSTM被用于遥感和时间相关农业分析。最常用的数据集来源是Kaggle，典型输入包括土壤养分（NPK）、土壤pH、天气条件和NDVI、EVI等卫星指数。研究主要研究空白：有限的实时部署、低多数据源集成、低跨区域验证、低模型可解释性。研究表明可扩展、可解释的AI系统对农业实际应用具有重要意义。","MDPI","2026-09-22T00:00:00Z",81,{"impact":18,"substance":71,"depth":18,"authority":72,"freshness":13,"relevant":21,"comment":237},"基于PRISMA的129篇文献系统综述，梳理作物推荐主流方法与四大研究空白，对农业AI落地有参考价值。",[239],{"name":233,"url":231},[241,242,243,244,28],"智慧农业","农业人工智能","机器学习","作物推荐",[246,247],"精准农业 作物推荐 系统综述","XGBoost 随机森林 作物推荐","精准农业作物推荐系统综述-3248",{"doi":9,"openalex_id":9,"authors":250,"venue":9,"cited_by_count":35,"oa_url":9,"card":251,"direction":255,"ingested_from":257},[],{"tldr":252,"method":253,"finding":254,"direction":255,"opportunity":256},"系统综述129篇2020-2026年文献，梳理精准农业作物推荐的方法、趋势与挑战。","PRISMA协议系统综述，分析183项研究筛选出的129篇文献。","集成学习（随机森林、XGBoost）表现最强，主要空白为实时部署、多源集成、跨区域验证与可解释性。","农业人工智能与决策模型","可探索可解释、可跨区域泛化的实时作物推荐系统，并融合多源遥感与物联网数据。","agent","2026-09-23T00:04:33.331160Z",{"id":260,"title":261,"url":262,"summary":263,"summary_zh":9,"content":264,"source_name":265,"source_url":9,"published_at":266,"category":267,"cover_url":9,"hotness":13,"is_selected":14,"score":268,"score_detail":269,"sources":272,"tags":274,"search_phrases":278,"slug":281,"view_count":35,"doi":9,"paper":9,"created_at":282},3230,"农业科普进校园 科技种子润心田——黑龙江省农科院\"农业科普进校园\"活动走进萧红中学","https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1079072228_121106822","黑龙江省农科院\"农业科普进校园\"活动走进哈尔滨市萧红中学，七位专家把实验室里的科研成果\"翻译\"成生动有趣的科普课堂，围绕食品安全、现代种业、智慧农业、遥感监测、生物防治、健康养殖、未来食品等方向，用图文展示、实物观察、视频演示和互动问答，把硬核科研变成通俗易懂的知识。作为省农科院2026年全国科普月重点活动之一，本次活动紧扣\"科技改变生活 创新赢得未来\"主题，聚焦现代农业科普和青少年科学素养提升，是落实全国科普月\"科普讲堂话前沿\"\"科学文化进基层\"部署、推动农业科普资源进校园的具体实践。","## 农业科普进校园 科技种子润心田 ——省农科院“农业科普进校园”活动走进萧红中学\n\n2026-09-21 17:29 来源: [大东北生活资讯](https:\u002F\u002Fwww.sohu.com\u002F)\n\n发布于：北京市\n\n当“农药去哪了”“玉米的秘密”“未来餐桌”这些话题出现在中学课堂，农业就不再是课本里遥远的名词，而是一场可以看、可以问、可以触摸的科技之旅。\n\n近日，省农科院“农业科普进校园”活动走进哈尔滨市萧红中学。七位专家把实验室里的科研成果“翻译”成生动有趣的科普课堂，带着同学们零距离感受现代农业的魅力。\n\n活动现场，专家们围绕食品安全、现代种业、智慧农业、遥感监测、生物防治、健康养殖、未来食品等方向，用图文展示、实物观察、视频演示和互动问答，把硬核科研变成通俗易懂的知识。同学们在观察、提问、交流中，慢慢理解了“藏粮于技”的意义，也感受到科技给农业带来的改变。\n\n作为省农科院2026年全国科普月重点活动之一，本次活动紧扣“科技改变生活 创新赢得未来”主题，聚焦现代农业科普和青少年科学素养提升，是落实全国科普月“科普讲堂话前沿”“科学文化进基层”部署、推动农业科普资源进校园的具体实践。以青少年为纽带，科研机构与社会公众之间多了一座沟通的桥；通过“请进来”与“走出去”，省农科院在粮食安全、乡村振兴等领域的创新成果被更多年轻人看见。知农、爱农、兴农的种子，正在校园里悄悄发芽。\n\n接下来，省农科院还将继续深化与学校的合作，让更多青少年在沉浸式体验中走近农业、爱上科学，为龙江农业现代化和乡村振兴积蓄青春力量。\n\n![Image 1](https:\u002F\u002Fq0.itc.cn\u002Fq_70\u002Fimages03\u002F20260921\u002Fccb551427fec4af1a347d1e5b521017a.jpeg)\n\n![Image 2](https:\u002F\u002Fq6.itc.cn\u002Fq_70\u002Fimages03\u002F20260921\u002F9f478e5a65a44654acd668ed043bff16.jpeg)\n\n**黑 龙 江 省 农 业 科 学 院 党 宣**\n\n信 息 来 源：科技推广处张唯一\n\n审核：李佳峰\n\n编辑：王红蕾[返回搜狐，查看更多](https:\u002F\u002Fwww.sohu.com\u002F?strategyid=00001 \"点击进入搜狐首页\")","黑龙江省农业科学院","2026-09-19T00:00:00Z","报道",39,{"impact":17,"substance":17,"depth":60,"authority":13,"freshness":270,"relevant":21,"comment":271},7,"省级农科院面向中学的科普活动通稿，属全国科普月系列活动，有科普教育价值但信息增量有限，适合作为科普类资讯收录。",[273],{"name":265,"url":262},[241,275,28,276,277],"农业科普","全国科普月","青少年科学素养",[279,280],"黑龙江省农科院 农业科普进校园","萧红中学 农业科普","黑龙江省农科院农业科普进校园-3230","2026-09-23T00:04:30.535981Z"]