[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2794":3,"related-2794":64},{"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,"primary_topic":9,"secondary_topics":24,"classification":25,"search_phrases":41,"slug":44,"view_count":45,"doi":46,"paper":47,"created_at":63},2794,"Dual-Use Nation: Tracing Sweden’s Technological Neutrality Through Sociotechnical Imaginaries of Satellite Remote Sensing, 1973–1986","https:\u002F\u002Fdoi.org\u002F10.1080\u002F01916599.2026.2722008","This article traces the development of Sweden’s role as a dual-use nation, as seen through the implications of Sweden's engagement with a satellite remote sensing project – SPOT – within the broader context of technological neutrality. Through an examination of verbs used in annual fiscal proposals (petita) of the Swedish Board for Space Activities (SBSA), one can trace which verbs associated with Swedish satellite remote sensing activities evolve into specific projects and terms. It suggests that outer space provided Sweden with an arena to assert proactive technopolitics and challenge traditional notions of neutrality, in particular through the promotion of Sweden as a dual-use nation.","本文通过考察瑞典参与卫星遥感项目SPOT（地球观测卫星系统）所蕴含的意义，在技术中立这一更广阔背景下，追溯了瑞典作为军民两用国家角色的发展历程。通过分析瑞典航天局（SBSA）年度财政提案（petita）中所使用的动词，可以追踪哪些与瑞典卫星遥感活动相关的动词逐步演变为具体项目和术语。研究表明，外层空间为瑞典提供了一个彰显积极技术政治、挑战传统中立观念的舞台，尤其是通过推动瑞典作为军民两用国家的定位来实现这一目标。",null,"History of European Ideas","2026-09-16T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"该文属科技史与政治学研究，主题为瑞典卫星遥感与技术中立，与三农、农业信息化、智慧农业无直接关联，不宜进入每日精选。",[19],{"name":10,"url":6},[21,22,23],"卫星遥感","科技政策","技术中立",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":29},"needs_review","2026-10-22.2","rules",{"candidates":30,"agricultural_evidence":14,"reason":40},[31],{"code":32,"score":33,"supported":34,"title":35,"abstract":37,"tags":39},"I3",15,true,[36],"remote sensing",[38,36],"遥感",[21],"农业相关性需要复核",[42,43],"卫星遥感 技术中立 科技政策","卫星遥感 技术中立","卫星遥感技术中立科技政策-2794",2,"10.1080\u002F01916599.2026.2722008",{"doi":46,"openalex_id":48,"authors":49,"venue":10,"cited_by_count":15,"oa_url":54,"card":55,"direction":61,"ingested_from":62},"W7213332317",[50,52],{"name":51,"orcid":9},"Kasper Schiølin",{"name":53,"orcid":9},"Johan Gärdebo","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Fpdf\u002F10.1080\u002F01916599.2026.2722008?needAccess=true",{"tldr":56,"method":57,"finding":58,"direction":59,"opportunity":60},"通过瑞典航天局年度预算提案中的动词分析，追溯1973-1986年瑞典利用SPOT卫星遥感项目构建双重","分析瑞典航天局年度财政提案中的动词演变，结合SPOT卫星遥感项目的社会技术想象。","外层空间成为瑞典推行积极技术政治、挑战传统中立观念并塑造双重用途国家身份的舞台。","其他","可借鉴动词分析方法，研究中国农业遥感政策话语演变，揭示技术中立与农业应用间的张力。","农业遥感与作物表型","openalex","2026-09-17T23:30:36.275841Z",{"total":65,"page":66,"page_size":65,"items":67},6,1,[68,148,245,311,368,417],{"id":69,"title":70,"url":71,"summary":72,"summary_zh":73,"content":9,"source_name":74,"source_url":71,"published_at":75,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":76,"score_detail":77,"sources":83,"tags":85,"primary_topic":90,"secondary_topics":95,"classification":96,"search_phrases":110,"slug":113,"view_count":15,"doi":114,"paper":115,"created_at":147},5318,"Lagged Effects and Mechanisms of Central Environmental Inspection Policies on Agricultural Straw Burning: Evidence from Remote Sensing Data in China","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10668-026-08214-3","Lagged Effects and Mechanisms of Central Environmental Inspection Policies on Agricultural Straw Burning: Evidence from Remote Sensing Data in China。Environment Development and Sustainability","中央环保督察政策对农业秸秆焚烧的滞后效应与作用机制：来自中国遥感数据的证据。《环境、发展与可持续性》","Environment Development and Sustainability","2026-10-19T00:00:00Z",84,{"impact":78,"substance":79,"depth":80,"authority":81,"freshness":13,"relevant":66,"comment":82},22,20,18,14,"基于全国遥感数据评估中央环保督察对秸秆焚烧的滞后效应，数据规模大、方法新颖，对农业环境政策有参考价值，值得进入每日精选。",[84],{"name":74,"url":71},[86,87,21,88,89],"农业政策","遥感监测","秸秆焚烧","环保督察",{"code":32,"slug":91,"name":92,"path":93,"parent_code":94},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":97,"locked":14,"version":27,"method":28,"evidence":98},"classified",{"candidates":99,"agricultural_evidence":34},[100,105],{"code":32,"score":101,"supported":34,"title":102,"abstract":103,"tags":104},16,[36],[38,36],[21,87],{"code":106,"score":66,"supported":14,"title":107,"abstract":108,"tags":109},"H5",[],[],[88],[111,112],"中央环保督察 秸秆焚烧","遥感数据 秸秆焚烧","中央环保督察秸秆焚烧-5318","10.1007\u002Fs10668-026-08214-3",{"doi":114,"openalex_id":116,"authors":117,"venue":74,"cited_by_count":15,"oa_url":9,"card":141,"direction":61,"ingested_from":62},"W7222877438",[118,120,122,124,126,128,130,133,135,137,139],{"name":119,"orcid":9},"Lu Dong",{"name":121,"orcid":9},"Linru Zhang",{"name":123,"orcid":9},"Na Liu",{"name":125,"orcid":9},"Xin Long",{"name":127,"orcid":9},"Ziyi Wang",{"name":129,"orcid":9},"Siyue Yang",{"name":131,"orcid":132},"Jie Tian","https:\u002F\u002Forcid.org\u002F0000-0001-6585-3643",{"name":134,"orcid":9},"Qiyuan Wang",{"name":136,"orcid":9},"Zhanfeng Dong",{"name":138,"orcid":9},"Long Wu",{"name":140,"orcid":9},"Yichen Wang",{"tldr":142,"method":143,"finding":144,"direction":145,"opportunity":146},"利用遥感数据评估中央环保督察政策对秸秆焚烧的滞后效应与作用机制。","基于中国遥感火点数据构建面板，采用滞后效应模型识别政策影响机制。","中央环保督察对秸秆焚烧具有显著但滞后的抑制效应，并存在区域异质性。","农业绿色发展与碳","可结合地块级遥感与农户调查，量化督察滞后期内秸秆离田利用与替代处置的路径。","2026-10-19T23:30:22.693590Z",{"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":15,"score_detail":156,"sources":158,"tags":160,"primary_topic":9,"secondary_topics":164,"classification":165,"search_phrases":172,"slug":175,"view_count":15,"doi":176,"paper":177,"created_at":244},5181,"Satellite Remote Sensing of Methane Point Sources: A Review of Capabilities and Applications","https:\u002F\u002Fdoi.org\u002F10.5194\u002Fegusphere-2026-6060","Abstract. The ability to remotely sense methane point sources continues to grow, driven by new satellite launches, newly discovered detection capabilities in satellites not originally intended for methane observation, and increasingly mature data processing and delivery pipelines. We review current and anticipated satellite remote sensing capabilities, including a description of instrument specifications, sampling strategies, and data availability. We detail algorithms that drive general methane plume processing pipelines and associated validation experiments across multiple product levels. We describe categories of stakeholder and science driven use cases that use satellite point source datasets. In particular, we detail several mitigation programs that use satellite point source detections to inform leak detection and verification (e.g., IMEO Methane Alert and Response System; California Satellite Methane Project). We also summarize research to date that incorporates point source datasets to inform practices to reduce emissions and aid aggregate accounting of emissions from facilities to regional scales. Continued work to establish common validation standards and reference sites to make detection and quantification performance comparable across instruments is recommended for building increased confidence in plume datasets. However, the successful integration of satellite point source imager observations into stakeholder workstreams demonstrates that these datasets are equipped today to support climate policy, operator response, and emissions accounting.","摘要：遥感甲烷点源的能力持续增强，这得益于新卫星的发射、原本并非用于甲烷观测的卫星上新发现的探测能力，以及日益成熟的数据处理与分发流程。本文综述了当前及预期的卫星遥感能力，包括仪器规格、采样策略和数据可获取性的描述。我们详细介绍了驱动通用甲烷羽流处理流程的算法，以及跨多个产品层级的相关验证实验。我们描述了利用卫星点源数据集的相关方和科学驱动用例的类别。特别是，我们详述了几个利用卫星点源探测为泄漏检测与核证提供信息的减排项目（例如，IMEO甲烷警报与响应系统；加州卫星甲烷项目）。我们还总结了迄今为止将点源数据集纳入研究以指导减排实践、并辅助从设施到区域尺度的排放总量核算的工作。建议继续努力建立统一的验证标准和参考站点，使不同仪器间的探测与量化性能具有可比性，从而增强对羽流数据集的信心。然而，卫星点源成像仪观测成功融入相关方工作流程表明，这些数据集目前已具备支持气候政策、运营者响应和排放核算的能力。","OpenAlex","2026-10-15T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":157},"该文为卫星遥感甲烷点源综述，属环境与气候监测领域，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。",[159],{"name":154,"url":151},[161,21,162,163],"温室气体","甲烷监测","排放核算",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":166},{"candidates":167,"agricultural_evidence":14,"reason":40},[168],{"code":32,"score":33,"supported":34,"title":169,"abstract":170,"tags":171},[36],[38,36],[21],[173,174],"卫星遥感 甲烷点源","甲烷泄漏 检测 卫星","卫星遥感甲烷点源-5181","10.5194\u002Fegusphere-2026-6060",{"doi":176,"openalex_id":178,"authors":179,"venue":9,"cited_by_count":15,"oa_url":238,"card":239,"direction":61,"ingested_from":62},"W7222319315",[180,183,186,189,191,194,197,200,203,206,209,212,215,218,221,224,227,230,232,235],{"name":181,"orcid":182},"Daniel Cusworth","https:\u002F\u002Forcid.org\u002F0000-0003-0158-977X",{"name":184,"orcid":185},"Daniel J. Varon","https:\u002F\u002Forcid.org\u002F0000-0002-3207-5731",{"name":187,"orcid":188},"Dylan Jervis","https:\u002F\u002Forcid.org\u002F0009-0009-5387-635X",{"name":190,"orcid":9},"Jason McKeever",{"name":192,"orcid":193},"Alexander J. Turner","https:\u002F\u002Forcid.org\u002F0000-0003-1406-7372",{"name":195,"orcid":196},"Christian Frankenberg","https:\u002F\u002Forcid.org\u002F0000-0002-0546-5857",{"name":198,"orcid":199},"John R. Worden","https:\u002F\u002Forcid.org\u002F0000-0003-0257-9549",{"name":201,"orcid":202},"Andrew K. Thorpe","https:\u002F\u002Forcid.org\u002F0000-0001-7968-5433",{"name":204,"orcid":205},"Jay E. Fahlen","https:\u002F\u002Forcid.org\u002F0000-0002-1660-8104",{"name":207,"orcid":208},"Sudhanshu Pandey","https:\u002F\u002Forcid.org\u002F0000-0001-5938-385X",{"name":210,"orcid":211},"Joannes D. Maasakkers","https:\u002F\u002Forcid.org\u002F0000-0001-8118-0311",{"name":213,"orcid":214},"Ilse Aben","https:\u002F\u002Forcid.org\u002F0000-0003-2198-0768",{"name":216,"orcid":217},"A. Eldering","https:\u002F\u002Forcid.org\u002F0000-0003-1080-9922",{"name":219,"orcid":220},"Riley Duren","https:\u002F\u002Forcid.org\u002F0000-0003-4723-5280",{"name":222,"orcid":223},"Bradley Conrad","https:\u002F\u002Forcid.org\u002F0000-0003-3678-7434",{"name":225,"orcid":226},"Tia R. Scarpelli","https:\u002F\u002Forcid.org\u002F0000-0001-5544-8732",{"name":228,"orcid":229},"Daniel M. Bon","https:\u002F\u002Forcid.org\u002F0000-0002-0186-5087",{"name":231,"orcid":9},"Mackenzie Huffman",{"name":233,"orcid":234},"Itziar Irakulis‐Loitxate","https:\u002F\u002Forcid.org\u002F0000-0003-3646-4950",{"name":236,"orcid":237},"Luis Guanter","https:\u002F\u002Forcid.org\u002F0000-0002-8389-5764","https:\u002F\u002Fegusphere.copernicus.org\u002Fpreprints\u002F2026\u002Fegusphere-2026-6060\u002Fegusphere-2026-6060.pdf",{"tldr":240,"method":241,"finding":242,"direction":145,"opportunity":243},"综述卫星甲烷点源遥感能力、算法与利益相关方应用案例。","综述多卫星仪器规格、羽流处理算法、验证实验及泄漏检测项目。","卫星点源数据已可支撑气候政策、运营商响应与排放核算。","农业甲烷（如稻田、畜禽）点源卫星监测与验证标准尚属空白，可切入。","2026-10-17T23:30:31.714319Z",{"id":246,"title":247,"url":248,"summary":249,"summary_zh":250,"content":9,"source_name":251,"source_url":248,"published_at":155,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":252,"score_detail":253,"sources":260,"tags":262,"primary_topic":9,"secondary_topics":266,"classification":267,"search_phrases":276,"slug":279,"view_count":15,"doi":280,"paper":281,"created_at":310},5171,"Fuel load and potential fire behavior vary seasonally and across grassland plant communities","https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs42408-026-00593-2","Abstract Grassland fuels can be patchy across space and time, especially on landscapes where multiple grassland plant communities co-occur. However, the standard fuel models inadequately capture the spatiotemporal variability in grassland fuels for local, strategic planning of fuel treatments. We aimed to better understand the seasonal variation in grassland fuels and fire behavior across grassland types. Here, we developed remote sensing-based grassland fuel maps using multispectral satellite data (10-m resolution) from Sentinel-2, compared seasonal fire behavior across grassland types, and performed a sensitivity analysis of fire behavior models to changes in litter, dead 1 h, and live herbaceous loads, and fuelbed depth estimates. We were able to best predict live herbaceous load (R2 = 0.85), followed by fuelbed depth (R2 = 0.81), dead 1 h fuel load (R2 = 0.76), and litter load (R2 = 0.67) based on remotely sensed predictors. Our spatially predicted grassland fuel maps showed seasonal variability in fuel loads in different places, reflecting the varying timing of curing by grassland types. In particular, we observed more accumulation of dead 1 h load between August and October in early senescing mixedgrass prairies than later senescing tallgrass prairies. We found an overall faster modeled rate of spread in smooth brome-dominated, invasive grasslands and native tallgrass prairies compared to mixedgrass and prairie dog-dominated grasslands. From the sensitivity analysis, we found that modeled fire behavior model is most sensitive to dead 1 h fuel load and least sensitive to litter load in this grassland system. At a time when grassland fires are increasing and resources for fuel management are limited, remote sensing approach to grassland fuel modeling may help land managers make decisions about where and when to prioritize fuel treatments to mitigate the risk of catastrophic wildfires.","摘要 草地可燃物在空间和时间上往往呈斑块状分布，在多种草地植物群落共存的景观中尤为如此。然而，标准可燃物模型难以充分刻画草地可燃物的时空变异性，无法满足局部可燃物处理策略性规划的需求。本研究旨在更好地理解不同草地类型间可燃物和火行为的季节性变化。为此，我们利用Sentinel-2多光谱卫星数据（10 m分辨率）构建了基于遥感的草地可燃物图，比较了不同草地类型间的季节性火行为，并对火行为模型进行了敏感性分析，考察凋落物、1小时时滞死可燃物、活草本可燃物载量及可燃物床深度估算值变化的影响。基于遥感预测因子，我们对活草本可燃物载量的预测效果最佳（R² = 0.85），其次为可燃物床深度（R² = 0.81）、1小时时滞死可燃物载量（R² = 0.76）和凋落物载量（R² = 0.67）。空间预测的草地可燃物图显示，不同地点的可燃物载量存在季节性变异，反映了不同草地类型枯萎时序的差异。特别是，我们观察到早枯的混合草草原在8月至10月间1小时时滞死可燃物载量的累积多于晚枯的高草草原。我们发现，与混合草草原和草原犬鼠主导的草地相比，无芒雀麦主导的入侵草地和原生高草草原的模拟蔓延速率总体更快。敏感性分析表明，在该草地系统中，火行为模型对1小时时滞死可燃物载量最为敏感，对凋落物载量最不敏感。在草地火灾日益增多且可燃物管理资源有限的背景下，基于遥感的草地可燃物建模方法可帮助土地管理者决策在何处、何时优先开展可燃物处理，以降低灾难性野火风险。","Fire Ecology",72,{"impact":254,"substance":255,"depth":256,"authority":257,"freshness":258,"relevant":66,"comment":259},12,21,17,13,9,"基于 Sentinel-2 的草地可燃物遥感制图与火行为敏感性分析，方法新颖、结论可靠，对草原火险管理有实用价值，但属细分领域研究，公共影响有限。",[261],{"name":251,"url":248},[87,21,263,264,265],"草原火险","可燃物模型","草地管理",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":268},{"candidates":269,"agricultural_evidence":14,"reason":40},[270],{"code":32,"score":271,"supported":34,"title":272,"abstract":273,"tags":275},11,[],[38,36,274],"multispectral",[21,87],[277,278],"Sentinel-2 草地可燃物","草原火行为 遥感制图","Sentinel-2草地可燃物-5171","10.1186\u002Fs42408-026-00593-2",{"doi":280,"openalex_id":282,"authors":283,"venue":251,"cited_by_count":15,"oa_url":304,"card":305,"direction":61,"ingested_from":62},"W7221860401",[284,287,290,293,296,298,301],{"name":285,"orcid":286},"Lina Aoyama","https:\u002F\u002Forcid.org\u002F0000-0001-9677-7268",{"name":288,"orcid":289},"Katharine N. Suding","https:\u002F\u002Forcid.org\u002F0000-0002-5357-0176",{"name":291,"orcid":292},"Advyth Ramachandran","https:\u002F\u002Forcid.org\u002F0009-0005-1440-2726",{"name":294,"orcid":295},"Jordan T. Lee","https:\u002F\u002Forcid.org\u002F0000-0002-3188-9792",{"name":297,"orcid":9},"Paul Dennison",{"name":299,"orcid":300},"Thomas K. Merchant","https:\u002F\u002Forcid.org\u002F0000-0002-6905-0255",{"name":302,"orcid":303},"Jonathan J. Henn","https:\u002F\u002Forcid.org\u002F0000-0003-1551-9238","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1186\u002Fs42408-026-00593-2.pdf",{"tldr":306,"method":307,"finding":308,"direction":61,"opportunity":309},"用Sentinel-2遥感构建草地可燃物载量季节图谱并模拟火行为差异。","Sentinel-2多光谱数据回归预测可燃物载量，结合火行为模型敏感性分析。","早枯混草草原死1小时载量积累更多，入侵与高草草原蔓延速率更快。","可将遥感可燃物制图与火险预警、放牧管理结合，拓展到多草地类型时空动态监测。","2026-10-17T23:30:28.706068Z",{"id":312,"title":313,"url":314,"summary":315,"summary_zh":9,"content":316,"source_name":317,"source_url":9,"published_at":318,"category":319,"cover_url":9,"hotness":13,"is_selected":14,"score":252,"score_detail":320,"sources":323,"tags":325,"primary_topic":330,"secondary_topics":335,"classification":336,"search_phrases":362,"slug":365,"view_count":366,"doi":9,"paper":9,"created_at":367},3417,"卫星技术赋能黑土良田——佳木斯打造'卫星+农业'特色样板，沿江镇'中国智慧农业第一镇'项目启动","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7687111511378117146\u002F","第四届佳木斯卫星产业发展大会暨商业航天产业技术创新联盟会议将于9月21—23日召开。作为全国首批北斗规模应用试点城市，佳木斯大力发展'卫星+农业'应用场景。今年5月由佳木斯市工信局、郊区人民政府、黑龙江省农科院佳木斯分院等单位联合发起的中国智慧农业第一镇暨'卫星+农业'项目正式启动，以郊区沿江镇为先行示范区，按照'单品示范破题—农户规模参与—镇域全链产业化'三步走路径梯次推进。","## 卫星技术赋能黑土良田佳木斯打造“卫星＋农业”特色样板\n\n2026-09-19 13:19·[金台资讯](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAL8m7IqT5eR3-VgZjzlMhg66-z57FyRmydYIImMLAsQ4\u002F?source=tuwen_detail)\n\n人民网哈尔滨9月19日电 (记者尚城)第四届佳木斯卫星产业发展大会暨商业航天产业技术创新联盟会议将于9月21日—23日正式拉开帷幕。这是“华夏东极”连续举办的第四届卫星产业大会，也是佳木斯再一次向全国公众展示佳木斯商业航天发展成果的舞台。\n\n作为全国首批北斗规模应用试点城市，佳木斯充分发挥黑土、水系、农林等地理优势及全国重要商品粮基地的产业优势，大力发展“卫星+农业”应用场景。今年5月，由佳木斯市工信局、郊区人民政府、黑龙江省农科院佳木斯分院等单位联合发起的中国智慧农业第一镇暨“卫星+农业”项目正式启动，并以郊区沿江镇为先行示范区，依托其独特区位禀赋、优质黑土农业资源、完备基础设施及卫星产业配套优势，着力打造国家级智慧农业技术集成高地和现代农业示范观摩窗口，积极探索可复制、可推广的智慧农业发展佳木斯样板。\n\n据了解，该项目按照“单品示范破题—农户规模参与—镇域全链产业化”三步走路径梯次推进。搭建集遥感苗情监测、AI病虫害诊断、墒情灾情预警、线上农技服务、农产品溯源等于一体的智慧农业管理平台，构建全链条数字化闭环管理体系，有效减少了化肥、农药施用量，提升主要粮油作物平均单产。通过卫星数据与农业生产的深度融合，把卫星数据转化为田间生产力，探索可复制、可推广的“卫星+农业”佳木斯模式，为保障国家粮食安全注入航天科技力量。\n\n依托本届卫星产业发展大会，佳木斯将持续做强卫星测控优势，拓展空天信息应用场景，以卫星技术赋能黑土粮仓，全力打造国内知名的卫星测控与空天应用产业高地。","金台资讯\u002F人民网哈尔滨 2026-09-19","2026-09-19T00:00:00Z","报道",{"impact":78,"substance":80,"depth":33,"authority":254,"freshness":321,"relevant":66,"comment":322},5,"央媒报道的卫星遥感赋能黑土农业示范项目，路径清晰、应用场景具体，具备行业参考价值。",[324],{"name":317,"url":314},[326,327,328,21,329],"数字乡村","智慧农业","黑土地保护","北斗应用",{"code":331,"slug":332,"name":333,"path":334,"parent_code":94},"I1","smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture",[],{"status":97,"locked":14,"version":27,"method":28,"evidence":337},{"candidates":338,"agricultural_evidence":34},[339,343,348,353,357],{"code":331,"score":254,"supported":34,"title":340,"abstract":341,"tags":342},[327],[327],[327],{"code":344,"score":66,"supported":14,"title":345,"abstract":346,"tags":347},"F5",[],[],[329],{"code":349,"score":66,"supported":14,"title":350,"abstract":351,"tags":352},"H1",[],[],[328],{"code":32,"score":66,"supported":14,"title":354,"abstract":355,"tags":356},[],[],[21],{"code":358,"score":66,"supported":14,"title":359,"abstract":360,"tags":361},"I6",[],[],[326],[363,364],"佳木斯 卫星 沿江镇","北斗 智慧农业 黑土","佳木斯卫星沿江镇-3417",3,"2026-09-25T00:09:31.179492Z",{"id":369,"title":370,"url":371,"summary":372,"summary_zh":9,"content":9,"source_name":373,"source_url":9,"published_at":374,"category":319,"cover_url":9,"hotness":13,"is_selected":14,"score":375,"score_detail":376,"sources":379,"tags":381,"primary_topic":382,"secondary_topics":383,"classification":384,"search_phrases":414,"slug":415,"view_count":366,"doi":9,"paper":9,"created_at":416},3228,"卫星技术赋能黑土良田 佳木斯打造\"卫星+农业\"特色样板——\"中国智慧农业第一镇\"郊区沿江镇先行示范区项目正式启动","https:\u002F\u002Fwww.hubpd.com\u002Fdetail\u002Findex.html?contentId=5188146770736475190&appKey=5fdaacc0c3f0c80001d1c5b3&key=5fdaacc0c3f0c80001d1c5b4","9-19 人民网报道：第四届佳木斯卫星产业发展大会暨商业航天产业技术创新联盟会议将于9-21~23召开。作为全国首批北斗规模应用试点城市，佳木斯充分发挥黑土、水系、农林等地理优势及全国重要商品粮基地的产业优势，大力发展\"卫星+农业\"应用场景。今年5月由佳木斯市工信局、郊区人民政府、黑龙江省农科院佳木斯分院等单位联合发起的中国智慧农业第一镇暨\"卫星+农业\"项目正式启动，并以郊区沿江镇为先行示范区，按照\"单品示范破题—农户规模参与—镇域全链产业化\"三步走路径梯次推进，搭建集遥感苗情监测、AI病虫害诊断、墒情灾情预警、线上农技服务、农产品溯源等于一体的智慧农业管理平台。","人民日报全国党媒信息公共平台","2026-09-19T04:28:00Z",75,{"impact":78,"substance":80,"depth":33,"authority":257,"freshness":377,"relevant":66,"comment":378},7,"全国首批北斗规模应用试点城市的卫星+农业先行示范项目，有明确路径与平台内容，具备行业参考价值。",[380],{"name":373,"url":371},[326,327,328,21,329],{"code":32,"slug":91,"name":92,"path":93,"parent_code":94},[],{"status":97,"locked":14,"version":27,"method":28,"evidence":385},{"candidates":386,"agricultural_evidence":34},[387,391,396,402,406,410],{"code":331,"score":254,"supported":34,"title":388,"abstract":389,"tags":390},[327],[327],[327],{"code":32,"score":392,"supported":34,"title":393,"abstract":394,"tags":395},4,[],[38],[21],{"code":397,"score":366,"supported":34,"title":398,"abstract":399,"tags":401},"E4",[],[400],"农产品溯源",[],{"code":344,"score":66,"supported":14,"title":403,"abstract":404,"tags":405},[],[],[329],{"code":349,"score":66,"supported":14,"title":407,"abstract":408,"tags":409},[],[],[328],{"code":358,"score":66,"supported":14,"title":411,"abstract":412,"tags":413},[],[],[326],[363,364],"佳木斯卫星沿江镇-3228","2026-09-23T00:04:30.375650Z",{"id":418,"title":419,"url":420,"summary":421,"summary_zh":422,"content":9,"source_name":423,"source_url":420,"published_at":424,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":425,"score_detail":426,"sources":429,"tags":431,"primary_topic":9,"secondary_topics":435,"classification":436,"search_phrases":448,"slug":451,"view_count":366,"doi":452,"paper":453,"created_at":468},2800,"Spatial Persistence and Interannual Variability of Floating Algae in Kainji Lake (Nigeria): Insights from Multi-Year Sentinel-2 Observations","https:\u002F\u002Fdoi.org\u002F10.62622\u002Fteiee.026.4.3.55-64","Background: Floating algae are increasingly recognized as indicators of ecological change in freshwater ecosystems. Although satellite remote sensing has been widely applied to monitor algal dynamics, little is known about the long-term spatial organization of floating algae in large tropical reservoirs in West Africa. Objectives: This study investigated the spatio-temporal dynamics of floating algae in Kainji Lake, Nigeria, from 2020 to 2025, with the aim of identifying recurrent hotspot zones, assessing interannual variability, and evaluating the long-term stability of floating algae distribution. Methods: Sentinel-2 Level-2A Surface Reflectance imagery was processed within the Google Earth Engine platform. Images with less than 10% cloud cover were selected and subjected to cloud masking and water extraction procedures. Floating algae were mapped using the Floating Algae Index (FAI), calculated from the red, near-infrared, and short-wave infrared spectral bands. Annual median FAI composites were generated for each year from 2020 to 2025. Descriptive statistics of positive FAI values were calculated to assess temporal variability. Multi-year persistence analysis was then performed to identify recurrent floating algae hotspot zones. Results: The results revealed pronounced spatial heterogeneity in floating algae occurrence across Kainji Lake. Floating algae were consistently concentrated within shoreline and embayment environments, whereas most open-water areas exhibited comparatively low occurrence. Mean annual positive FAI values ranged from 0.0656 to 0.0841, indicating interannual variability in floating algae intensity. Annual bloom extent varied from 139.93 to 168.64 km², representing 12 –15% of the lake surface, with the largest coverage recorded in 2022 and the smallest in 2025. Despite these temporal fluctuations, recurrent hotspot zones remained spatially consistent throughout the study period. Conclusion: Floating algae in Kainji Lake exhibit persistent spatial organization rather than random distribution. This study provides the first multi-year evidence of recurrent floating algae hotspot zones in the reservoir, establishing an important baseline for understanding floating algae dynamics, thereby addressing a significant knowledge gap in West African reservoir ecosystems and providing a foundation for future ecological assessments and monitoring programmes.","背景：浮游藻类日益被视为淡水生态系统生态变化的指示物。尽管卫星遥感已被广泛应用于监测藻类动态，但关于西非大型热带水库中浮游藻类长期空间格局的认识仍然有限。目标：本研究调查了2020年至2025年尼日利亚凯恩吉湖浮游藻类的时空动态，旨在识别反复出现的热点区域、评估年际变异性，并评价浮游藻类分布的长期稳定性。方法：在Google Earth Engine平台上处理Sentinel-2 Level-2A地表反射率影像。选取云量低于10%的影像，并进行去云和水体提取处理。利用浮游藻类指数（Floating Algae Index, FAI）对浮游藻类进行制图，该指数由红光、近红外和短波红外光谱波段计算得出。生成2020年至2025年各年的FAI年中值合成影像。计算FAI正值的描述性统计量以评估时间变异性。随后进行多年持续性分析，以识别反复出现的浮游藻类热点区域。结果：结果揭示了凯恩吉湖浮游藻类 occurrence 的显著空间异质性。浮游藻类持续集中于湖岸和湖湾环境，而大部分开阔水域的出现相对较低。年均FAI正值范围为0.0656至0.0841，表明浮游藻类强度存在年际变异性。年度藻华范围在139.93至168.64 km²之间变化，占湖泊表面积的12%–15%，其中2022年记录到最大覆盖面积，2025年最小。尽管存在这些时间波动，反复出现的热点区域在整个研究期间保持空间一致性。结论：凯恩吉湖的浮游藻类表现出持续的空间组织格局，而非随机分布。本研究首次提供了该水库浮游藻类热点区域反复出现的多年证据，为理解浮游藻类动态建立了重要基线，从而填补了西非水库生态系统中的重大知识空白，并为未来的生态评估和监测计划奠定了基础。","Trends in Ecological and Indoor Environmental Engineering","2026-09-15T00:00:00Z",66,{"impact":427,"substance":79,"depth":256,"authority":254,"freshness":258,"relevant":66,"comment":428},8,"基于Sentinel-2多年观测揭示尼日利亚Kainji湖浮藻热点空间稳定性，方法规范、数据扎实，但属区域生态研究，与国内三农信息化关联间接，可作遥感应用参考而非每日必读。",[430],{"name":423,"url":420},[432,87,433,21,434],"非洲农业","水质监测","湖泊生态",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":437},{"candidates":438,"agricultural_evidence":14,"reason":40},[439,443],{"code":32,"score":427,"supported":34,"title":440,"abstract":441,"tags":442},[],[38,36],[21,87],{"code":444,"score":66,"supported":14,"title":445,"abstract":446,"tags":447},"J3",[],[],[432],[449,450],"卫星遥感 水质监测 湖泊生态 遥感监测","卫星遥感 水质监测","卫星遥感水质监测湖泊生态遥感监测-2800","10.62622\u002Fteiee.026.4.3.55-64",{"doi":452,"openalex_id":454,"authors":455,"venue":423,"cited_by_count":15,"oa_url":462,"card":463,"direction":61,"ingested_from":62},"W7213293788",[456,459],{"name":457,"orcid":458},"Osasere Abike Omoruyi","https:\u002F\u002Forcid.org\u002F0000-0003-4505-9551",{"name":460,"orcid":461},"Ruby Asunomeh","https:\u002F\u002Forcid.org\u002F0009-0009-7529-254X","https:\u002F\u002Fwww.teiee.net\u002Fpdf-226150-145194?filename=Spatial-Persistence-and-I.pdf",{"tldr":464,"method":465,"finding":466,"direction":61,"opportunity":467},"利用2020-2025年Sentinel-2影像分析尼日利亚凯恩吉湖浮藻时空动态与热点区。","Google Earth Engine处理Sentinel-2 L2A影像，用F","浮藻集中于湖岸与湾口，年际面积波动但热点区位置持续稳定。","可结合水质、气象与人类活动数据，探究热带水库浮藻热点持续性的驱动机制与预警模型。","2026-09-17T23:30:38.937817Z"]