[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3056":3,"related-3056":58},{"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":57},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。",null,"Frontiers in Sustainable Food Systems","2026-09-20T00:00:00Z","论文",10,false,80,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,13,9,1,"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。",[24],{"name":10,"url":6},[26,27,28,29,30],"乡村振兴","地理标志","耕地保护","遥感监测","粮食产能",[32,33],"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",0,"10.3389\u002Ffsufs.2026.1954068",{"doi":36,"openalex_id":38,"authors":39,"venue":10,"cited_by_count":35,"oa_url":6,"card":50,"direction":54,"ingested_from":56},"W7213780571",[40,43,45,47],{"name":41,"orcid":42},"Ruofan Liao","https:\u002F\u002Forcid.org\u002F0009-0009-5058-7368",{"name":44,"orcid":9},"Qingqing Fan",{"name":46,"orcid":9},"Mi Tan",{"name":48,"orcid":49},"Jianxu Liu","https:\u002F\u002Forcid.org\u002F0000-0002-2128-6015",{"tldr":51,"method":52,"finding":53,"direction":54,"opportunity":55},"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。","数字乡村与农业信息化","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。","openalex","2026-09-21T23:30:07.723086Z",{"total":59,"page":21,"page_size":59,"items":60},6,[61,99,126,167,217,246],{"id":62,"title":63,"url":64,"summary":65,"summary_zh":66,"content":9,"source_name":67,"source_url":64,"published_at":68,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":35,"score_detail":69,"sources":71,"tags":73,"search_phrases":76,"slug":79,"view_count":35,"doi":80,"paper":81,"created_at":98},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":35,"substance":35,"depth":35,"authority":35,"freshness":35,"relevant":35,"comment":70},"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。",[72],{"name":67,"url":64},[28,29,74,75],"土地利用","城市扩张",[77,78],"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":80,"openalex_id":82,"authors":83,"venue":67,"cited_by_count":35,"oa_url":91,"card":92,"direction":96,"ingested_from":56},"W7213652939",[84,86,88],{"name":85,"orcid":9},"Amina Kalbaza",{"name":87,"orcid":9},"Belkacem Marir",{"name":89,"orcid":90},"Farida Naceur","https:\u002F\u002Forcid.org\u002F0009-0004-1962-4937","https:\u002F\u002Freference-global.com\u002Fdownload\u002Farticle\u002F10.2478\u002Fjlecol-2026-0038.pdf",{"tldr":93,"method":94,"finding":95,"direction":96,"opportunity":97},"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。","农业遥感与作物表型","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":100,"title":101,"url":102,"summary":103,"summary_zh":9,"content":104,"source_name":105,"source_url":9,"published_at":106,"category":107,"cover_url":9,"hotness":13,"is_selected":14,"score":108,"score_detail":109,"sources":115,"tags":117,"search_phrases":121,"slug":124,"view_count":35,"doi":9,"paper":9,"created_at":125},2878,"河南就乡村建设项目用地要素保障公开征求意见:5%新增计划指标倾斜乡村,1万亩省级统筹","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7685932251674051135\u002F","9月15日,河南省自然资源厅发布关于加大乡村建设项目用地要素保障的通知征求意见稿。明确乡村建设项目选址坚持先存量后增量原则;乡村建设项目用地原则上安排不低于5%的新增计划指标,省级统筹安排1万亩计划指标专项用于保障乡村振兴发展用地;对零散分布的农村村民住宅和点状项目可打捆办理农用地转用审批,简化流程;对国家乡村振兴示范县加大支持力度。","## 实行指标倾斜、压缩审批时限！河南就乡村建设项目用地公开征求意见\n\n2026-09-16 09:02·[大河网](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAWg_9yQwMz4S3FCVaBPvCYI2OK1lg3kLnMx6ijEJaTP0\u002F?source=tuwen_detail)\n\n大河网讯（记者 何山）乡村振兴，土地要素是关键。9月15日，省自然资源厅发布《关于加大乡村建设项目用地要素保障的通知（征求意见稿）》，从计划指标、耕地保护、用地监管等方面出台系列举措，精准保障乡村发展合理用地需求，现面向社会公开征求意见。\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002Ff267a1a660374eee9c8601488e444667~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1790381211&x-signature=J7wvdreNVJp43OKQEwTZPmzmzMI%3D)\n过去，不少乡村产业项目苦于用地指标紧张、审批链条长，闲置宅基地、老旧村部等资源却长期沉睡。征求意见稿明确，乡村建设项目选址坚持“先存量、后增量”原则，优先盘活利用闲置宅基地和农房、废弃厂房、老旧村部以及村内低效空地等存量土地，最大限度减少新增建设用地。\n\n在用地计划保障上，实行指标倾斜。明确乡村建设项目用地应在年度土地利用计划中予以倾斜，原则上安排不低于5%的新增计划指标，保障乡村重点产业项目。省级统筹安排1万亩计划指标，专项用于保障乡村振兴发展用地；对纳入省级重大建设项目清单的，直接全额保障，即报即配；对国家乡村振兴示范县、省级乡村振兴重点帮扶县和乡村振兴重点监测县，加大土地利用计划支持力度，持续巩固拓展脱贫攻坚成果。\n\n压缩审批时限，简化审批流程。征求意见提出，对零散分布的农村村民住宅和点状分布的零星建设项目，可以乡镇为单位打捆办理农用地转用审批手续；对简易项目，简化审批流程核发规划许可。文件鼓励各地将用地报批和规划许可同步审查、并联开展，并加强与林业部门协调，实行一次到场、联合踏勘。\n\n耕地保护方面，要求乡村建设项目应严格避让永久基本农田和优质耕地，确需占用一般耕地的，应落实“先补后占、占优补优、占水田补水田”要求，守住耕地保护红线。\n\n为避免土地批而不用、低效闲置，征求意见强化用地批后监管，农用地转用批复后应在半年内依法办理集体建设用地使用手续，土地使用率低于90%的，暂停配置该地区市批农用地转用新增建设用地计划指标。\n\n编辑：王晓颖 审核：刘杨","大河网\u002F河南日报","2026-09-16T00:00:00Z","政策",77,{"impact":110,"substance":111,"depth":112,"authority":13,"freshness":113,"relevant":21,"comment":114},20,23,17,7,"省级乡村用地保障新政，含5%指标倾斜、1万亩省级统筹等具体条款，政策信息增量足，值得进入每日精选。",[116],{"name":105,"url":102},[26,28,118,119,120],"用地保障","土地指标","审批改革",[122,123],"河南 乡村建设项目用地 征求意见","河南 5%新增计划指标 乡村","河南乡村建设项目用地征求意见-2878","2026-09-19T00:06:04.657791Z",{"id":127,"title":128,"url":129,"summary":130,"summary_zh":131,"content":9,"source_name":132,"source_url":129,"published_at":133,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":134,"score_detail":135,"sources":139,"tags":141,"search_phrases":143,"slug":146,"view_count":35,"doi":147,"paper":148,"created_at":166},2784,"Monitoring & Evaluating of Urban Expansion and Its Impact on Land use Land Cover Change of Sargodha, Pakistan (2000-2025)","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fjgst.2.9(s).2026.624","Urban growth is a significant land-use transition that is taking place in many rapidly growing cities, especially where the expansion is taking place on productive agricultural land. The purpose of this research was to explore the Spatio-temporal pattern of urban expansion and changes in land use\u002Fland cover (LULC) in Sargodha Tehsil, Pakistan, for the period 2000-2025. This study used the remote sensing and GIS techniques to analyze the satellite imageries of 6 years. These years include 2000, 2005, 2010, 2015, 2020 and 2025. The study area covered an expanse of 1536 km² and comprised four land use\u002Fland cover (LULC) classes, including agricultural land, built-up area, barren land, and water bodies. The study used supervised classification Maximum likelihood classifier (MLC) to identify the dominant land use and land cover types and determine the percentage of the region that was covered by each class. The results show that there is a growing trend in the built-up area throughout the years. It increased from 115 km² in 2000 to 180 km² in 2005, 233 km² in 2010, 297 km² in 2015, 361 km² in 2020, and 440 km² in 2025. Thus, it can be stated that there was an increase in the built-up area by 325 km² or 282.6% over the studied period. In contrast, the amount of farmland decreased from 1,014 km² to 815 km² or 199 km². The area of barren land decreased as well from 280 km² to 153 km². At the same time, there was no significant change in the amount of water bodies from 127 km² to 128 km². Findings reveal a significant change from a primarily agricultural region to a region with a considerable presence of developed areas and emphasize the increasing pressure on productive land. The research underlines the significance of planned urbanization, protection of productive agricultural lands, regular geospatial monitoring, and appropriate management of the periphery belt.","城市增长是许多快速发展的城市正在经历的重要土地利用转变，尤其是在生产力较高的农业用地上发生扩张的地区。本研究旨在探讨巴基斯坦萨戈达县（Sargodha Tehsil）2000—2025年期间城市扩张的时空格局及土地利用\u002F土地覆盖（LULC）变化。本研究采用遥感与GIS技术，对6个年份的卫星影像进行了分析，包括2000年、2005年、2010年、2015年、2020年和2025年。研究区面积为1536 km²，涵盖四种土地利用\u002F土地覆盖（LULC）类型，包括农业用地、建设用地、裸地和水体。研究采用监督分类中的最大似然分类器（MLC）识别主要土地利用与土地覆盖类型，并确定各类型所占区域百分比。结果表明，建设用地面积在各年份间呈持续增长趋势，从2000年的115 km²增至2005年的180 km²、2010年的233 km²、2015年的297 km²、2020年的361 km²，以及2025年的440 km²。因此可以认为，在研究期间建设用地面积增加了325 km²，增幅达282.6%。相比之下，农田面积从1014 km²减少至815 km²，减少了199 km²。裸地面积也从280 km²减少至153 km²。与此同时，水体面积从127 km²变化至128 km²，没有显著变化。研究结果揭示了该区域从以农业为主向建设用地显著增加的区域发生了重大转变，并凸显了生产性土地日益增大的压力。本研究强调了有计划城市化、保护生产性农业用地、定期地理空间监测以及对外围地带进行适当管理的重要性。","Journal of Global Social Transformation","2026-09-17T00:00:00Z",55,{"impact":136,"substance":17,"depth":137,"authority":59,"freshness":20,"relevant":21,"comment":138},8,14,"基于遥感与GIS的巴基斯坦城市扩张对农用地影响研究，数据翔实但属区域案例，对国内三农信息化参考价值有限。",[140],{"name":132,"url":129},[28,29,74,142,75],"GIS",[144,145],"土地利用 城市扩张 耕地保护 遥感监测","土地利用 城市扩张","土地利用城市扩张耕地保护遥感监测-2784","10.71317\u002Fjgst.2.9(s).2026.624",{"doi":147,"openalex_id":149,"authors":150,"venue":132,"cited_by_count":35,"oa_url":129,"card":161,"direction":96,"ingested_from":56},"W7213443079",[151,153,156,158],{"name":152,"orcid":9},"Muhammad Israr",{"name":154,"orcid":155},"Omar Riaz","https:\u002F\u002Forcid.org\u002F0000-0002-5391-109X",{"name":157,"orcid":9},"Muhammad Safeer Hussain",{"name":159,"orcid":160},"Muhammad Imran","https:\u002F\u002Forcid.org\u002F0000-0003-4072-4997",{"tldr":162,"method":163,"finding":164,"direction":96,"opportunity":165},"用遥感与GIS分析巴基斯坦萨戈达2000-2025年城市扩张及土地利用变化。","6期Landsat影像，最大似然监督分类，提取四类LULC并统计面积。","建设用地增325km²（282.6%），耕地减199km²，城市扩张大量侵占优质农田。","可结合耕地质量与作物生产力数据，量化城市扩张对农业产能的具体损失并构建预警模型。","2026-09-17T23:30:34.285631Z",{"id":168,"title":169,"url":170,"summary":171,"summary_zh":172,"content":9,"source_name":173,"source_url":170,"published_at":174,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":175,"score_detail":176,"sources":179,"tags":181,"search_phrases":185,"slug":188,"view_count":35,"doi":189,"paper":190,"created_at":216},2533,"Quantifying the Environmental Impact of Artisanal and Small‐Scale Mining: An Integrated Approach for Sustainable Development Insights","https:\u002F\u002Fdoi.org\u002F10.1002\u002Fsd.71693","ABSTRACT Artisanal and small‐scale mining (ASM) provides livelihoods for over 44.5 million people globally, yet its largely unregulated nature causes severe environmental degradation in host communities. In Nigeria, where ASM accounts for over 90% of solid mineral production, the sector increasingly encroaches on agricultural land. Despite growing recognition of ASM's environmental impacts across West Africa, no study has yet applied the novel SDGSAT‐1 satellite purpose‐built for SDG monitoring at 10 m resolution to quantify ASM land degradation in Nigeria, and few studies simultaneously integrate multi‐sensor remote sensing, in‐situ soil contamination assessment, and hydrological transport modelling within a single integrated framework. This study addresses that gap. This study integrates SDGSAT‐1 Multispectral Imager and Landsat 9 imagery (both acquired 12 January 2024) with field‐based soil sampling (November 2023, dry season) and GIS hydrological modelling for Igbojaiye community, Oyo State, Nigeria. Eight vegetation, water and soil indices (NDVI, EVI, SAVI, TSAVI, TVI, NDWI, BSI) and Land Surface Temperature were derived from satellite imagery. Soil samples from eight mining‐affected points and four undisturbed control points were analyzed for physicochemical properties and heavy metals (Fe, Pb, Zn) using Atomic Absorption Spectrometry. Contamination Factor, Geoaccumulation Index, Pollution Load Index, and a Potential Ecological Risk Index were computed. A Digital Elevation Model was used to delineate contaminant transport pathways. ASM‐affected areas exhibited severe vegetation loss (68% of land within 500 m of mining pits classified as Degraded; mean NDVI −0.08 vs. +0.18 in control areas) and elevated Land Surface Temperature (mean 35.2°C ± 1.3°C vs. 28.9°C ± 0.8°C in controls). Mining soils showed markedly degraded physicochemical properties (organic carbon 4× lower, moisture 5× lower, pH more acidic). Lead exhibited very high contamination (mean Contamination Factor 10.0; Geoaccumulation Index Class 3: moderately to heavily contaminated) with a statistically significant distance‐decay gradient ( r = −0.60, p = 0.04). No metal exceeded WHO\u002FFAO soil limits in absolute terms. Hydrological modelling identified direct flow pathways from mining pits to downstream farmland and waterbodies. ASM in Igbojaiye initiates a cascade of compounding degradation, soil toxicity, microclimatic disruption, and hydrological pollutant dispersal that collectively undermine agricultural productivity and water security, directly impeding SDGs 2, 6, 13, and 15. This study represents one of the first applications of SDGSAT‐1 for ASM monitoring in Nigeria, establishing a replicable multi‐sensor framework for evidence‐based environmental governance of ASM in data‐scarce sub‐Saharan African contexts. Remediation priorities include sediment traps at mining pit outflows, phytoremediation with native metal‐tolerant species, and satellite‐based biannual monitoring protocols.","手工和小规模采矿（ASM）为全球超过4450万人提供了生计，但其基本上不受监管的性质对所在社区造成了严重的环境退化。在尼日利亚，手工和小规模采矿占固体矿产产量的90%以上，该行业日益侵占农业用地。尽管西非地区对ASM环境影响的认知不断增加，但尚无研究应用专为可持续发展目标监测而设计的10米分辨率SDGSAT-1卫星来量化尼日利亚的ASM土地退化，且很少有研究将多传感器遥感、原位土壤污染评估和水文输移建模同时整合于单一综合框架中。本研究填补了这一空白。本研究将SDGSAT-1多光谱成像仪和Landsat 9影像（均于2024年1月12日获取）与实地土壤采样（2023年11月，旱季）及GIS水文建模相结合，以尼日利亚奥约州Igbojaiye社区为研究区。从卫星影像中提取了八个植被、水体和土壤指数（NDVI、EVI、SAVI、TSAVI、TVI、NDWI、BSI）及地表温度。采用原子吸收光谱法对来自八个受采矿影响点和四个未受干扰对照点的土壤样品进行了理化性质和重金属（Fe、Pb、Zn）分析。计算了污染因子、地累积指数、污染负荷指数和潜在生态风险指数。利用数字高程模型划定了污染物输移路径。受ASM影响的区域表现出严重的植被丧失（采矿坑500米范围内68%的土地被归类为退化；NDVI均值为−0.08，对照区为+0.18）和升高的地表温度（均值35.2°C ± 1.3°C，对照区为28.9°C ± 0.8°C）。矿区土壤理化性质显著退化（有机碳低4倍，含水量低5倍，pH更偏酸性）。铅表现出极高的污染水平（污染因子均值10.0；地累积指数3级：中度至重度污染），并具有统计学显著的距离衰减梯度（r = −0.60，p = 0.04）。就绝对值而言，无金属超过WHO\u002FFAO土壤限值。水文建模识别出从采矿坑到下游农田和水体的直接径流路径。Igbojaiye的ASM引发了一系列叠加退化、土壤毒性、微气候扰动和水文污染物扩散的级联效应，共同导致","Sustainable Development","2026-09-14T00:00:00Z",82,{"impact":17,"substance":111,"depth":177,"authority":137,"freshness":136,"relevant":21,"comment":178},19,"首次将SDGSAT-1遥感与土壤、水文模型整合量化尼日利亚小规模采矿对农地的复合退化，方法可复用于数据稀缺地区农业环境治理，对农业遥感与耕地保护主题有聚合价值。",[180],{"name":173,"url":170},[182,183,28,29,184],"数字乡村","可持续发展","农业环境",[186,187],"可持续发展 农业环境 数字乡村 耕地保护","可持续发展 农业环境","可持续发展农业环境数字乡村耕地保护-2533","10.1002\u002Fsd.71693",{"doi":189,"openalex_id":191,"authors":192,"venue":173,"cited_by_count":35,"oa_url":9,"card":211,"direction":96,"ingested_from":56},"W7213179964",[193,196,198,201,203,205,208],{"name":194,"orcid":195},"Sehinde Akinbiola","https:\u002F\u002Forcid.org\u002F0000-0001-9602-2420",{"name":197,"orcid":9},"Julia Blumensaat",{"name":199,"orcid":200},"Ayobami Salami","https:\u002F\u002Forcid.org\u002F0000-0002-7567-9762",{"name":202,"orcid":9},"Jürgen Runge",{"name":204,"orcid":9},"Tella Iyiola",{"name":206,"orcid":207},"Olamide Omolafe Ogunremi","https:\u002F\u002Forcid.org\u002F0000-0002-6776-4983",{"name":209,"orcid":210},"Ayomide Emmanuel Olubaju","https:\u002F\u002Forcid.org\u002F0000-0003-2118-6759",{"tldr":212,"method":213,"finding":214,"direction":96,"opportunity":215},"用SDGSAT-1等多源遥感与实地采样量化尼日利亚手工采矿对土地与农田的环境退化。","SDGSAT-1与Landsat 9影像、8种植被水体土壤指数、土壤重金属AAS","矿区植被严重退化、地表温度升高、铅污染极重，并存在向农田与水体扩散的水文通道。","可将SDGSAT-1 10米影像与土壤、水文模型耦合，构建矿区农田退化与重金属风险的早期预警框架。","2026-09-15T23:30:20.829150Z",{"id":218,"title":219,"url":220,"summary":221,"summary_zh":9,"content":9,"source_name":222,"source_url":9,"published_at":68,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":108,"score_detail":223,"sources":227,"tags":229,"search_phrases":233,"slug":236,"view_count":35,"doi":9,"paper":237,"created_at":245},3124,"Divide or Bridge? The Heterogeneous Effects of Digital Village Participation on Rural Residents' Happiness（鸿沟抑或桥梁？数字乡村参与对农村居民幸福感的异质性影响）","https:\u002F\u002Fwww.ebiotrade.com\u002Fnewsf\u002F2026-9\u002F20260919000408204.htm","Frontiers in Psychology 发表利用中国乡村振兴调查（CRRS）数据实证检验数字乡村参与对农村居民幸福感影响的研究。提升农村居民幸福感是中国乡村振兴战略的关键目标。研究方法采用 CRRS 调查数据进行实证检验；结果表明数字乡村参与与农村居民幸福感呈正相关；分维度分析揭示数字基础设施、数字治理和日常生活数字化对农村居民幸福感具有显著正向效应，而农村经济数字化的影响在统计上不显著；机制分析表明数字乡村参与通过缓解信贷约束和增加社会互动来提升农村居民幸福感；异质性分析显示数字素养较高的农村居民更能将数字参与转化为幸福感提升，而数字素养较低群体这一效应不显著。研究为缩小农村数字鸿沟提供经验证据，并为推动精准化、差异化的数字乡村发展提供政策启示。","Frontiers in Psychology",{"impact":224,"substance":225,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":226},16,21,"基于CRRS数据的实证研究，揭示数字乡村参与对农村居民幸福感的异质性影响，结论扎实且具政策参考价值，值得进入每日精选。",[228],{"name":222,"url":220},[182,230,26,231,232],"数字素养","数字鸿沟","农村居民幸福感",[234,235],"CRRS 数字乡村 幸福感","数字素养 农村居民 幸福感","CRRS数字乡村幸福感-3124",{"doi":9,"openalex_id":9,"authors":238,"venue":9,"cited_by_count":35,"oa_url":9,"card":239,"direction":54,"ingested_from":244},[],{"tldr":240,"method":241,"finding":242,"direction":54,"opportunity":243},"基于CRRS数据实证检验数字乡村参与对农村居民幸福感的异质性影响。","中国乡村振兴调查（CRRS）数据，实证回归与机制、异质性分析。","数字参与提升幸福感，但经济数字化不显著，低数字素养群体获益有限。","可探究数字素养培育干预如何放大数字乡村的幸福感效应，缩小群体鸿沟。","agent","2026-09-22T00:05:38.499296Z",{"id":247,"title":248,"url":249,"summary":250,"summary_zh":9,"content":9,"source_name":251,"source_url":9,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":252,"score_detail":253,"sources":255,"tags":257,"search_phrases":262,"slug":265,"view_count":35,"doi":9,"paper":266,"created_at":273},3122,"Advances in Information Sensing and Intelligent Monitoring of Field Crops Throughout the Full Growth Cycle（大田作物全生育期信息感知与智能监测研究进展）","https:\u002F\u002Fwww.mdpi.com\u002F2073-4395\u002F16\u002F18\u002F1852","江苏大学农业工程学院 Tang Ruifan 等在《Agronomy》16(18): 1852 发表综述（2026-09-20 发表）：大田作物在不同生育阶段持续变化、呈现显著空间异质性、需在短作业窗口内进行管理。研究以生育阶段为主线组织文献，通过\"农业需求—可观测变量—感知平台—数据处理方法—验证设计—状态解释—管理或装备输出\"通用链条分析。从卫星遥感、无人机感知、地面与近端感知、田间物联网、机载传感器、多源融合、作物模型与机器学习方法按空间支撑、时间连续性、尺度匹配、田间稳健性、迁移条件、不确定性与操作适用性比较。综述报告作物表型反演、田间环境表征、生物胁迫识别在特定条件下已建立；跨阶段状态继承、一致参考测量、独立验证、监测结果向可执行任务转化仍不充分。提出生命周期导向的信息处理视角，未来应加强跨作物跨区域验证、机理性与数据驱动模型协同、不确定性报告、互操作性和田间反馈。","MDPI Agronomy",76,{"impact":224,"substance":110,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":254},"江苏大学团队在核心期刊发表的综述，系统梳理大田作物全生育期感知与监测技术链条，专业深度与信息增量较高，但属学术综述、产业影响有限，适合进入主题聚合而非头条精选。",[256],{"name":251,"url":249},[258,259,260,29,261],"智慧农业","农业物联网","作物表型","大田作物",[263,264],"江苏大学 大田作物 智能监测","Agronomy 作物全生育期 信息感知","江苏大学大田作物智能监测-3122",{"doi":9,"openalex_id":9,"authors":267,"venue":9,"cited_by_count":35,"oa_url":9,"card":268,"direction":96,"ingested_from":244},[],{"tldr":269,"method":270,"finding":271,"direction":96,"opportunity":272},"综述大田作物全生育期信息感知与智能监测，按生育阶段梳理技术并指出转化不足。","以生育阶段为主线，比较卫星、无人机、地面物联网、模型与机器学习等方法。","表型反演与胁迫识别已有条件建立，但跨阶段继承、独立验证与可执行转化不足。","可研究跨生育阶段状态继承建模、一致参考测量与监测结果向田间作业指令的转化。","2026-09-22T00:05:38.276747Z"]