[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4444":3,"related-4444":83},{"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,"primary_topic":9,"secondary_topics":31,"classification":32,"search_phrases":50,"slug":53,"view_count":21,"doi":54,"paper":55,"created_at":82},4444,"Geostatistical modelling of the effect of vegetation on canine visceral leishmaniasis in Camaçari, Bahia State, Northeastern Brazil using remote-sensed data","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-73205-3","Abstract Visceral leishmaniasis (VL) is a vector-borne disease that can cause fever, hepatosplenomegaly, weight loss and pancytopenia. In Brazil, VL occurs when a female phlebotomine sand fly ( Lutzomyia longipalpis ) takes a blood meal from an infected reservoir. Domestic canines are likely the main source of the infectious agent since they live in close proximity to humans and can remain asymptomatic for several years. Consequently, sole treatment of human cases likely cannot prevent transmission. Current methods of control have been unsuccessful, and thus, a better understanding of canine transmission and the effect of the environment is required. Phlebotomine sand flies feed on plant sap and nectar, and lay eggs around tree roots, hence, we hypothesise that dogs are more likely to contract VL near vegetation. In this retrospective study, we investigate the effect of vegetation on canine visceral leishmaniasis (CVL) in the community of Camaçari, Bahia, Northeastern Brazil using geostatistical modelling. The normalised vegetation index (NDVI) is used to quantify vegetation. We find that, on average, an increase in NDVI of 0.1 led to a 1.21-fold increase in the odds of CVL. The odds of CVL were highest along the coast where plant species known to attract Lutzomyia longipalpis have been identified.","摘要 内脏利什曼病（VL）是一种媒介传播疾病，可引起发热、肝脾肿大、体重减轻和全血细胞减少。在巴西，当雌性白蛉（长须罗蛉）从受感染的储存宿主吸血时，便会传播VL。家犬很可能是传染源的主要来源，因为它们与人类居住地距离很近，并且可以多年保持无症状。因此，仅治疗人类病例可能无法阻止传播。目前的控制方法并不成功，因此需要更好地了解犬类传播以及环境的影响。白蛉以植物汁液和花蜜为食，并在树根周围产卵，因此我们假设犬类在植被附近更容易感染VL。在这项回顾性研究中，我们使用地统计模型研究了植被对巴西东北部巴伊亚州卡马萨里社区犬内脏利什曼病（CVL）的影响。采用归一化植被指数（NDVI）量化植被。我们发现，平均而言，NDVI每增加0.1，CVL的比值比增加1.21倍。CVL的比值比在沿海地区最高，那里已鉴定出已知会吸引长须罗蛉的植物物种。",null,"Scientific Reports","2026-10-06T00:00:00Z","论文",10,false,68,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":22},8,21,17,14,1,"基于遥感NDVI的地理统计建模揭示植被与犬内脏利什曼病传播关联，方法新颖、结论具体，对动物疫病遥感监测有参考价值，但属区域流行病学研究，与农业信息化关联偏弱。",[24],{"name":10,"url":6},[26,27,28,29,30],"动物疫病防控","遥感","NDVI","人兽共患病","公共卫生",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"needs_review","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":14,"reason":49},[38,44],{"code":39,"score":40,"supported":14,"title":41,"abstract":42,"tags":43},"C5",2,[],[],[29,26],{"code":45,"score":40,"supported":14,"title":46,"abstract":47,"tags":48},"I3",[],[],[28,27],"农业相关性需要复核",[51,52],"Camaçari 犬内脏利什曼病 NDVI","巴西 植被 犬利什曼病 遥感","Camaçari犬内脏利什曼病NDVI-4444","10.1038\u002Fs41598-026-73205-3",{"doi":54,"openalex_id":56,"authors":57,"venue":10,"cited_by_count":73,"oa_url":74,"card":75,"direction":79,"ingested_from":81},"W7220723172",[58,61,64,67,70],{"name":59,"orcid":60},"F. Clark","https:\u002F\u002Forcid.org\u002F0000-0003-1083-0887",{"name":62,"orcid":63},"Manuela da Silva Solcà","https:\u002F\u002Forcid.org\u002F0000-0001-9014-8903",{"name":65,"orcid":66},"Deborah Bittencourt Mothé Fraga","https:\u002F\u002Forcid.org\u002F0000-0003-4788-0319",{"name":68,"orcid":69},"Cláudia Brodskyn","https:\u002F\u002Forcid.org\u002F0000-0003-3367-5365",{"name":71,"orcid":72},"Emanuele Giorgi","https:\u002F\u002Forcid.org\u002F0000-0003-0640-181X",0,"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-73205-3_reference.pdf",{"tldr":76,"method":77,"finding":78,"direction":79,"opportunity":80},"用遥感NDVI和地统计模型分析巴西犬内脏利什曼病与植被的关系。","地统计建模，结合遥感NDVI数据与犬利什曼病病例。","NDVI每增加0.1，犬内脏利什曼病风险增加1.21倍，沿海植被区风险最高。","农业遥感与作物表型","可拓展遥感植被指数至其他虫媒病或人畜共患病风险制图，结合多时相数据优化预警。","openalex","2026-10-08T23:30:32.248339Z",{"total":84,"page":21,"page_size":84,"items":85},6,[86,152,204,250,334,395],{"id":87,"title":88,"url":89,"summary":90,"summary_zh":91,"content":9,"source_name":92,"source_url":89,"published_at":93,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":94,"score_detail":95,"sources":101,"tags":103,"primary_topic":9,"secondary_topics":107,"classification":108,"search_phrases":121,"slug":124,"view_count":21,"doi":125,"paper":126,"created_at":151},5246,"Spatial divergence of climate–vegetation relationships in Florida: A 43-year multi-method analysis (1982–2024)","https:\u002F\u002Fdoi.org\u002F10.1088\u002F2515-7620\u002Faeb5af","Abstract Attributing long-term vegetation change to climate is difficult in subtropical ecosystems, where temperature and precipitation act simultaneously, are confounded by abrupt disturbances, and where statewide averages can conceal offsetting associations. Here we apply a multi-method convergence-of-evidence framework to a sensor-harmonized 43-year record (1982–2024) of NOAA CDR NDVI, temperature, and precipitation across Florida, which spans cool temperate forests to warm subtropical wetlands. Modified Mann–Kendall tests with false-discovery-rate correction detected monotonic trends; pixel-level correlation, spatial-error regression, and lagged cross-correlation evaluated association strength, direction, and timing; Empirical Orthogonal Function decomposition of deseasonalized anomalies separated persistent climatic signals from episodic disturbance, with the leading mode (58.4% of variance) tracking latitudinal warming and a lower-order mode (PC3) tracking hurricane impacts. Florida warmed by +0.033 °C yr⁻¹, significant in 99.6% of land pixels, while precipitation showed no field-significant trend. The temperature–greenness association was positive across essentially the entire state, marginally stronger in the south; localized negative responses were confined to specific southern wetland and urban-fringe pixels rather than forming a systematic north–south reversal. The state-mean precipitation–NDVI correlation was negative at zero lag and reversed from r = −0.263 to r = +0.102 when incoming shortwave radiation was partialed out, consistent with cloud-associated light suppression rather than water limitation—a phenomenon we term the Water Paradox. SPI\u002FSPEI–NDVI correlations were near zero, and Everglades water levels were largely decoupled from wetland greenness (r = 0.08, n.s.), indicating that inundation acts as a localized threshold modifier rather than a dominant suppressor. Climate–vegetation models for comparable high-rainfall subtropical systems may therefore need to account for spatially divergent temperature sensitivities and treat precipitation as an energy constraint rather than a uniform benefit.","摘要 在亚热带生态系统中，将长期植被变化归因于气候十分困难，因为温度和降水同时起作用，又受到突发干扰的混杂影响，而且全州尺度的平均值可能掩盖相互抵消的关联。本文采用多方法证据汇聚框架，对佛罗里达州1982—2024年共43年经传感器协调的NOAA CDR NDVI、温度和降水记录进行分析，该区域涵盖从冷温带森林到暖亚热带湿地。采用经错误发现率校正的改进Mann–Kendall检验检测单调趋势；通过像元级相关、空间误差回归和滞后互相关评估关联强度、方向和时间；对去季节化异常进行经验正交函数分解，以区分持续性气候信号与偶发干扰，其中主导模态（占总方差58.4%）追踪纬度变暖，低阶模态（PC3）追踪飓风影响。佛罗里达州以+0.033 °C yr⁻¹的速率变暖，在99.6%的陆地像元上显著，而降水未显示出区域显著趋势。温度—绿度关联在全州几乎均为正，南部略强；局地负响应仅限于特定的南部湿地和城市边缘像元，而非形成系统的南北反转。州平均降水—NDVI相关在零滞后时为负，当偏除入射短波辐射后由r = −0.263反转为r = +0.102，这与云相关的光抑制而非水分限制相一致——我们将这一现象称为“水悖论”。SPI\u002FSPEI—NDVI相关接近零，大沼泽地水位与湿地绿度基本解耦（r = 0.08，不显著），表明淹水作为局地阈值调节因子而非主导抑制因子起作用。因此，针对可比的高降雨亚热带系统的气候—植被模型可能需要考虑空间分异的温度敏感性，并将降水视为能量约束而非均一益处。","Environmental Research Communications","2026-10-16T00:00:00Z",70,{"impact":17,"substance":96,"depth":97,"authority":98,"freshness":99,"relevant":21,"comment":100},22,18,13,9,"基于43年NDVI遥感记录的多方法气候-植被关系研究，方法扎实、结论新颖，但属区域基础研究，对国内三农信息化仅有方法借鉴价值。",[102],{"name":92,"url":89},[104,27,28,105,106],"气候变化","植被监测","佛罗里达",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":109},{"candidates":110,"agricultural_evidence":14,"reason":49},[111,116],{"code":45,"score":112,"supported":14,"title":113,"abstract":114,"tags":115},3,[],[],[28,105,27],{"code":117,"score":21,"supported":14,"title":118,"abstract":119,"tags":120},"H7",[],[],[104],[122,123],"Florida NDVI 气候变化","佛罗里达 植被 遥感","FloridaNDVI气候变化-5246","10.1088\u002F2515-7620\u002Faeb5af",{"doi":125,"openalex_id":127,"authors":128,"venue":92,"cited_by_count":73,"oa_url":145,"card":146,"direction":79,"ingested_from":81},"W7222444517",[129,132,135,138,141,143],{"name":130,"orcid":131},"A. Mandal","https:\u002F\u002Forcid.org\u002F0009-0004-0192-7497",{"name":133,"orcid":134},"Aman Kumar Thapa","https:\u002F\u002Forcid.org\u002F0009-0003-8956-6632",{"name":136,"orcid":137},"Madan Thapa Chhetri","https:\u002F\u002Forcid.org\u002F0009-0002-3567-7591",{"name":139,"orcid":140},"Hongbo Su","https:\u002F\u002Forcid.org\u002F0000-0002-2147-3646",{"name":142,"orcid":9},"Yan Yong",{"name":144,"orcid":9},"Fred Bloetscher","https:\u002F\u002Fiopscience.iop.org\u002Farticle\u002F10.1088\u002F2515-7620\u002Faeb5af\u002Fpdf",{"tldr":147,"method":148,"finding":149,"direction":79,"opportunity":150},"用多方法分析佛罗里达43年气候与植被关系，揭示空间分异。","NOAA CDR NDVI与气候数据，结合趋势检验、回归、EOF分解。","全州变暖显著，温度与绿度正相关；降水因云量抑制光照呈负相关。","高降雨亚热带区需将降水视为能量约束，并关注温度敏感性的空间分异。","2026-10-18T23:30:31.356484Z",{"id":153,"title":154,"url":155,"summary":156,"summary_zh":9,"content":9,"source_name":157,"source_url":155,"published_at":93,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":158,"score_detail":159,"sources":163,"tags":165,"primary_topic":9,"secondary_topics":169,"classification":170,"search_phrases":184,"slug":187,"view_count":73,"doi":188,"paper":189,"created_at":203},5241,"Assessing Nutritional Status in Super-High-Density Olive Orchards: Integrating Diagnostic Models and NDVI-Based Remote Sensing","https:\u002F\u002Fdoi.org\u002F10.21203\u002Frs.3.rs-11156833\u002Fv1","Assessing Nutritional Status in Super-High-Density Olive Orchards: Integrating Diagnostic Models and NDVI-Based Remote Sensing。Research Square","Research Square",72,{"impact":160,"substance":97,"depth":19,"authority":161,"freshness":99,"relevant":21,"comment":162},16,12,"该研究将诊断模型与NDVI遥感结合用于超密植油橄榄园营养评估，方法有创新、对智慧果园管理有参考价值，但属预印本且应用面偏窄，可入精选但非头条。",[164],{"name":157,"url":155},[166,27,28,167,168],"智慧农业","果园管理","油橄榄",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":171},{"candidates":172,"agricultural_evidence":14,"reason":49},[173,179],{"code":45,"score":98,"supported":174,"title":175,"abstract":177,"tags":178},true,[176],"remote sensing",[176],[28,27],{"code":180,"score":21,"supported":14,"title":181,"abstract":182,"tags":183},"I1",[],[],[166],[185,186],"超密植 油橄榄 营养诊断","NDVI 遥感 果园","超密植油橄榄营养诊断-5241","10.21203\u002Frs.3.rs-11156833\u002Fv1",{"doi":188,"openalex_id":190,"authors":191,"venue":157,"cited_by_count":73,"oa_url":201,"card":9,"direction":202,"ingested_from":81},"W7222710807",[192,195,198],{"name":193,"orcid":194},"Mahrokh Sharifmand","https:\u002F\u002Forcid.org\u002F0009-0006-8010-5348",{"name":196,"orcid":197},"Mehdi Taheri","https:\u002F\u002Forcid.org\u002F0000-0002-9228-763X",{"name":199,"orcid":200},"Ebrahim Sepehr","https:\u002F\u002Forcid.org\u002F0000-0001-5843-0669","https:\u002F\u002Fwww.researchsquare.com\u002Farticle\u002Frs-11156833\u002Flatest.pdf","智慧农业 \u002F 农业物联网","2026-10-18T23:30:11.167282Z",{"id":205,"title":206,"url":207,"summary":208,"summary_zh":209,"content":9,"source_name":210,"source_url":207,"published_at":211,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":212,"score_detail":213,"sources":215,"tags":217,"primary_topic":9,"secondary_topics":220,"classification":221,"search_phrases":233,"slug":236,"view_count":73,"doi":237,"paper":238,"created_at":249},5173,"Land-use patterns and plant community structure in the peri-urban environs of Lokoja, Kogi state, Nigeria: an integrated field and NDVI assessment, 2015 to 2025","https:\u002F\u002Fdoi.org\u002F10.61955\u002Fbplheb","Rapid urbanisation is transforming natural vegetation on the fringes of medium sized Nigerian cities, yet the flora of these zones is rarely documented. This study assessed plant community structure in relation to land use in the peri-urban fringe of Lokoja, Kogi State, by combining field surveys at three sites, namely Zango, Ganaja and Banda, with a dry season Landsat 8 NDVI record spanning 2015 to 2025. Along one transect of 2 km at each site, trees and shrubs were counted in twenty plots o","快速城市化正在改变尼日利亚中等城市边缘的自然植被，但这些区域的植物区系却鲜有记录。本研究通过将赞戈（Zango）、加纳贾（Ganaja）和班达（Banda）三个样地的野外调查与2015年至2025年旱季Landsat 8 NDVI记录相结合，评估了科吉州洛科贾城郊边缘植物群落结构与土地利用的关系。在每个样地沿一条2 km的样带，于二十个样方中对乔木和灌木进行了计数，","Journal of Interdisciplinary Postgraduate Research","2026-10-15T00:00:00Z",52,{"impact":84,"substance":97,"depth":20,"authority":84,"freshness":17,"relevant":21,"comment":214},"该研究结合实地样方与十年NDVI遥感数据，方法有一定参考价值，但属尼日利亚地方性案例，对国内三农与农业信息化的公共价值有限，不宜进入每日精选。",[216],{"name":210,"url":207},[27,28,218,105,219],"土地利用","城郊农业",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":222},{"candidates":223,"agricultural_evidence":14,"reason":49},[224,228],{"code":45,"score":112,"supported":14,"title":225,"abstract":226,"tags":227},[],[],[28,105,27],{"code":229,"score":21,"supported":14,"title":230,"abstract":231,"tags":232},"H6",[],[],[218],[234,235],"Lokoja 城郊 NDVI 植被","尼日利亚 土地利用 植物群落","Lokoja城郊NDVI植被-5173","10.61955\u002Fbplheb",{"doi":237,"openalex_id":239,"authors":240,"venue":210,"cited_by_count":73,"oa_url":243,"card":244,"direction":79,"ingested_from":81},"W7221946991",[241],{"name":242,"orcid":9},"Baba Baba","https:\u002F\u002Fboldscholar.com\u002Fimages\u002FJournal\u002FArticles\u002FI4_MS4_Baba_PeriUrban_Vegetation_NDVI_JIPR.pdf",{"tldr":245,"method":246,"finding":247,"direction":79,"opportunity":248},"结合野外样方与2015-2025年Landsat 8 NDVI，评估尼日利亚洛科贾城郊土地利用与植物","三站点各设2km样带20个样方调查乔灌木，结合旱季Landsat 8 NDVI时","城郊快速城市化改变自然植被，但该区域植物区系长期缺乏记录。","可延伸至城郊植被NDVI时序与地面样方耦合的长期监测，填补非洲中小城市城郊生态数据空白。","2026-10-17T23:30:29.810692Z",{"id":251,"title":252,"url":253,"summary":254,"summary_zh":255,"content":9,"source_name":256,"source_url":253,"published_at":257,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":158,"score_detail":258,"sources":260,"tags":262,"primary_topic":9,"secondary_topics":265,"classification":266,"search_phrases":312,"slug":315,"view_count":73,"doi":316,"paper":317,"created_at":333},4824,"Robust site-specific radiometric calibration of PlanetScope NDVI using UAS-based reference data for precision agriculture","https:\u002F\u002Fdoi.org\u002F10.3897\u002Fjbgs.e185817","Index images provide opportunities for monitoring phenotypic characteristics such as plant height and disease symptoms, as well as the detection of pest presence. This allows for targeted application of agrochemicals and the implementation of preventive measures, leading to increased yields and reduced environmental impact. The study focuses on the radiometric inconsistencies between satellite-based imagery and high-resolution unmanned aerial system (UAS) imagery. While PlanetScope provides high temporal resolution, its spectral response often deviates from ground-truth UAS flight missions due to varying atmospheric conditions and sensor specifications. A robust site-specific calibration workflow using Quantile-Based Piecewise Linear Normalization and residual-based outlier mitigation was used. The method was tested across three different crop types: barley, sunflower and maize. Initial results showed significant systematic offset. Following the application of the proposed robust normalization model, the root mean square error (RMSE) was reduced by up to 39%, while maintaining high coefficients of determination. The study demonstrates that site-specific non-linear calibration is essential for reliable crop health monitoring, particularly in heterogeneous fields where soil background and canopy shadows significantly affect the spectral signature satellite data, enabling accurate multi-temporal analysis and better-informed decisions for variable-rate fertilization and yield prediction.","指数影像为监测株高、病害症状等表型特征以及检测害虫存在提供了机会。这使得农药的精准施用和预防措施的实施成为可能，从而提高产量并减少环境影响。本研究聚焦于卫星影像与高分辨率无人机系统（UAS）影像之间的辐射不一致性问题。尽管PlanetScope具有高时间分辨率，但由于大气条件和传感器规格的差异，其光谱响应往往偏离地面实测的UAS飞行任务数据。本研究采用了一种稳健的站点特异性校准工作流程，使用基于分位数的分段线性归一化与基于残差的异常值抑制方法。该方法在三种不同作物类型上进行了测试：大麦、向日葵和玉米。初步结果显示出显著的系统性偏移。在应用所提出的稳健归一化模型后，均方根误差（RMSE）最多降低了39%，同时保持了较高的决定系数。研究表明，站点特异性非线性校准对于可靠的作物健康监测至关重要，尤其是在土壤背景和冠层阴影显著影响卫星数据光谱特征的异质田块中，该方法能够实现准确的多时相分析，并为变量施肥和产量预测提供更明智的决策依据。","Journal of the Bulgarian Geographical Society","2026-10-12T00:00:00Z",{"impact":161,"substance":18,"depth":19,"authority":98,"freshness":99,"relevant":21,"comment":259},"该论文提出基于UAS参考数据的PlanetScope NDVI站点特异性辐射定标方法，RMSE降低39%，对精准农业多时相监测有实用价值，但属细分方法研究，影响范围有限。",[261],{"name":256,"url":253},[166,263,27,28,264],"精准农业","作物监测",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":267},{"candidates":268,"agricultural_evidence":174,"reason":311},[269,274,281,288,295,301,307],{"code":180,"score":13,"supported":174,"title":270,"abstract":272,"tags":273},[271],"precision agriculture",[],[166,263],{"code":275,"score":84,"supported":174,"title":276,"abstract":277,"tags":280},"A3",[],[278,279],"玉米","maize",[],{"code":282,"score":84,"supported":174,"title":283,"abstract":284,"tags":287},"F3",[],[285,286],"施肥","fertilization",[],{"code":289,"score":84,"supported":174,"title":290,"abstract":291,"tags":294},"H2",[],[292,293],"土壤","soil",[],{"code":296,"score":112,"supported":174,"title":297,"abstract":298,"tags":300},"A4",[],[299],"向日葵",[],{"code":302,"score":112,"supported":174,"title":303,"abstract":304,"tags":306},"F4",[],[305],"农药",[],{"code":45,"score":112,"supported":14,"title":308,"abstract":309,"tags":310},[],[],[28,264,27],"多个产业证据相当，需要确认主归属",[313,314],"PlanetScope NDVI 辐射定标","UAS 无人机 遥感 精准农业","PlanetScopeNDVI辐射定标-4824","10.3897\u002Fjbgs.e185817",{"doi":316,"openalex_id":318,"authors":319,"venue":256,"cited_by_count":73,"oa_url":327,"card":328,"direction":79,"ingested_from":81},"W7221533152",[320,322,325],{"name":321,"orcid":9},"Yana Lipiyska",{"name":323,"orcid":324},"Tsvetelina Atansova-Evdenova","https:\u002F\u002Forcid.org\u002F0009-0000-5669-6439",{"name":326,"orcid":9},"A. S. Yordanov","https:\u002F\u002Fjbgs.arphahub.com\u002Farticle\u002F185817\u002Fdownload\u002Fpdf\u002F",{"tldr":329,"method":330,"finding":331,"direction":79,"opportunity":332},"提出基于无人机参考数据的站点特异性辐射校准方法，提升PlanetScope NDVI精度。","分位数分段线性归一化与残差异常值抑制，测试大麦、向日葵和玉米。","校准后RMSE降低达39%，保持高决定系数，证明站点非线性校准必要性。","可探索多时相、多作物通用校准模型，结合土壤背景与冠层阴影动态校正。","2026-10-13T23:30:23.916508Z",{"id":335,"title":336,"url":337,"summary":338,"summary_zh":339,"content":9,"source_name":340,"source_url":337,"published_at":341,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":342,"score_detail":343,"sources":347,"tags":349,"primary_topic":353,"secondary_topics":358,"classification":359,"search_phrases":374,"slug":377,"view_count":21,"doi":378,"paper":379,"created_at":394},4749,"Beyond site-specific archaeological prospection: Spectral-geometry reveals cross-site cropmark signals in satellite data","https:\u002F\u002Fdoi.org\u002F10.1093\u002Fpnasnexus\u002Fpgag336","Abstract Remote sensing has long supported archaeological prospection, mainly through the detection of cropmarks, a key archaeological proxy expressed as spectral vegetation anomalies over subsurface features. Yet, cropmark detection is still assumed in the literature to be highly site-specific, governed by local agronomic and environmental conditions. Using multispectral Sentinel-2 data from three European archaeological sites, we show that models trained in one landscape can recover meaningful archaeological proxy signals in other locations. By relying strictly on satellite spectral signatures for training, our models achieve measurable cross-location transferability without incorporating ancillary environmental data. We find that cross-site performance arises not from geographic proximity but from the spectral-geometric similarity of vegetation responses, and that transferability is strongly directional. We quantify this relationship through a Directional Strength Score (DSS), derived from monthly subcluster distances under multiple norms, which captures directional geometric similarity and correlates strongly with machine-learning performance. To keep the analysis grounded in the underlying spectral signal, we relied on architecturally restrained nonlinear classifiers (SVM and constrained XGBoost) and used NDVI-identified phenophases to align training and evaluation with comparable seasonal windows. Taken together, these results demonstrate that partial, spectrally mediated cross-location cropmark detection is feasible and that the underlying vegetation responses exhibit stable spectral structure, with spectral geometry offering a clear interpretive lens on why these signals can transfer across sites. Leveraging globally harmonized satellite data, this approach offers a scalable complement to uneven historical aerial archives and supports systematic regional archaeological prioritization to be deployed within integrated archaeological workflows.","摘要 遥感长期支持考古勘探，主要通过检测作物痕迹（cropmarks）——一种关键的考古代用指标，表现为地下特征上方植被的光谱异常。然而，文献中仍普遍认为作物痕迹检测高度依赖于具体遗址，受当地农艺和环境条件制约。利用来自三个欧洲考古遗址的多光谱Sentinel-2数据，我们表明在一个景观中训练的模型可以在其他地点恢复有意义的考古代用信号。通过严格依赖卫星光谱特征进行训练，我们的模型在不纳入辅助环境数据的情况下实现了可测量的跨地点迁移能力。我们发现，跨遗址性能并非源于地理邻近性，而是源于植被响应的光谱-几何相似性，并且迁移能力具有强烈的方向性。我们通过方向强度评分（Directional Strength Score, DSS）量化这一关系，该评分基于多种范数下的逐月子簇距离推导而来，捕捉方向性几何相似性并与机器学习性能强烈相关。为使分析立足于底层光谱信号，我们采用架构受限的非线性分类器（SVM和约束XGBoost），并使用NDVI识别的物候期来对齐训练和评估，使其处于可比较的季节窗口内。综合来看，这些结果表明，部分、以光谱为中介的跨地点作物痕迹检测是可行的，且底层植被响应表现出稳定的光谱结构，光谱几何为理解这些信号为何能够跨遗址迁移提供了清晰的解释视角。利用全球协调的卫星数据，该方法为不均衡的历史航空档案提供了可扩展的补充，并支持在综合考古工作流程中部署系统性的区域考古优先级排序。","PNAS Nexus","2026-10-10T00:00:00Z",82,{"impact":97,"substance":96,"depth":344,"authority":345,"freshness":17,"relevant":21,"comment":346},19,15,"PNAS Nexus 论文，用 Sentinel-2 多光谱数据证明作物标记信号可跨遗址迁移，方法新颖、结论可靠，对农业遥感与考古信息化有参考价值，但属细分领域突破，未达全国性产业事件层级。",[348],{"name":340,"url":337},[350,27,28,351,352],"Sentinel-2","考古遥感","作物标记",{"code":45,"slug":354,"name":355,"path":356,"parent_code":357},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":360,"locked":14,"version":34,"method":35,"evidence":361},"classified",{"candidates":362,"agricultural_evidence":174},[363,368],{"code":45,"score":161,"supported":174,"title":364,"abstract":365,"tags":367},[],[27,176,366],"multispectral",[28,350,27],{"code":369,"score":112,"supported":174,"title":370,"abstract":371,"tags":373},"I2",[],[372],"机器学习",[],[375,376],"Sentinel-2 作物标记 考古","遥感 光谱几何 跨遗址","Sentinel-2作物标记考古-4749","10.1093\u002Fpnasnexus\u002Fpgag336",{"doi":378,"openalex_id":380,"authors":381,"venue":340,"cited_by_count":73,"oa_url":388,"card":389,"direction":79,"ingested_from":81},"W7221319130",[382,385],{"name":383,"orcid":384},"Elias Gravanis","https:\u002F\u002Forcid.org\u002F0000-0002-5331-6661",{"name":386,"orcid":387},"Άθως Αγαπίου","https:\u002F\u002Forcid.org\u002F0000-0001-9106-6766","https:\u002F\u002Facademic.oup.com\u002Fpnasnexus\u002Fadvance-article-pdf\u002Fdoi\u002F10.1093\u002Fpnasnexus\u002Fpgag336\u002F71838194\u002Fpgag336.pdf",{"tldr":390,"method":391,"finding":392,"direction":79,"opportunity":393},"用Sentinel-2多光谱数据证明作物标记模型可跨遗址迁移，且迁移性由光谱几何相似性决定。","Sentinel-2多光谱、SVM与约束XGBoost、NDVI物候对齐、方向强","跨遗址作物标记检测可行，迁移性源于植被光谱几何相似而非地理邻近，且具方向性。","可将光谱几何迁移性指标引入作物表型与病害遥感，构建跨区域可迁移的植被异常检测模型。","2026-10-12T23:30:24.489835Z",{"id":396,"title":397,"url":398,"summary":399,"summary_zh":400,"content":9,"source_name":401,"source_url":398,"published_at":402,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":403,"score_detail":404,"sources":407,"tags":409,"primary_topic":413,"secondary_topics":418,"classification":419,"search_phrases":438,"slug":441,"view_count":73,"doi":442,"paper":443,"created_at":458},4508,"Analyzing Bunyaviruses from a One Health Perspective","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fv18101110","Zoonotic viral diseases continue to pose major challenges to global health, particularly as environmental, social and economic changes increasingly influence interactions among humans, animals, vectors, and ecosystems. This review explores Rift Valley fever virus (RVFV), Crimean-Congo hemorrhagic fever virus (CCHFV), and hantaviruses (HTVs) within the framework of One Health, emphasizing the ecological and epidemiological factors that govern their emergence and transmission. Despite their distinct transmission cycles, these viruses share important determinants of zoonotic risk. RVFV is primarily maintained through interactions between mosquitoes, livestock, wildlife, and humans; CCHFV is sustained within complex tick–vertebrate systems involving Hyalomma ticks, domestic animals, and wildlife, while HTVs are predominantly maintained through persistent infections in mammalian reservoir hosts, particularly rodents. Climate variability, habitat alteration, agricultural expansion, livestock movement, urbanization, and other anthropogenic pressures can modify these transmission systems and create new opportunities for pathogen spillover. Effective prevention and control therefore require integrated surveillance that encompasses human disease, animal populations, vectors or wildlife reservoirs, and environmental conditions. Advances in molecular diagnostics, genomic epidemiology, ecological modeling, remote sensing, and climate-based forecasting provide valuable opportunities for improving early detection and outbreak preparedness. To reduce the burden of these zoonotic viral diseases, a sustained collaboration among human and veterinary health professionals, ecologists, entomologists, environmental scientists, and public health authorities is required. Therefore, a coordinated One Health approach is essential for anticipating emerging threats, strengthening preparedness, and protecting human, animal, and ecosystem health.","人兽共患病毒病持续对全球健康构成重大挑战，尤其是当环境、社会和经济变化日益影响人类、动物、媒介和生态系统之间的相互作用时。本综述在“同一健康”（One Health）框架下探讨了裂谷热病毒（RVFV）、克里米亚-刚果出血热病毒（CCHFV）和汉坦病毒（HTVs），重点关注决定其出现和传播的生态学与流行病学因素。尽管这些病毒的传播循环各具特点，但它们共享重要的人兽共患风险决定因素。RVFV主要通过蚊、家畜、野生动物和人类之间的相互作用维持传播；CCHFV在涉及璃眼蜱属蜱、家养动物和野生动物的复杂蜱-脊椎动物系统中持续循环；而HTVs主要通过哺乳动物储存宿主（尤其是啮齿动物）的持续性感染维持。气候变异性、栖息地改变、农业扩张、家畜流动、城市化及其他人为压力可改变这些传播系统，并为病原体外溢创造新的机会。因此，有效的预防和控制需要涵盖人类疾病、动物种群、媒介或野生动物储存宿主以及环境条件的综合监测。分子诊断、基因组流行病学、生态建模、遥感和基于气候的预测等方面的进步为改善早期发现和疫情准备提供了宝贵机遇。为减轻这些人兽共患病毒病的负担，需要人类与兽医卫生专业人员、生态学家、昆虫学家、环境科学家和公共卫生当局之间的持续合作。因此，协调的“同一健康”方法对于预判新发威胁、加强防范以及保护人类、动物和生态系统健康至关重要。","Viruses","2026-10-08T00:00:00Z",78,{"impact":97,"substance":405,"depth":97,"authority":20,"freshness":17,"relevant":21,"comment":406},20,"从One Health视角系统综述三种人兽共患病毒病的生态流行与一体化监测防控，对动物疫病预警和农业公共卫生信息化有参考价值。",[408],{"name":401,"url":398},[26,410,29,411,412],"One Health","气候与疫病","分子诊断",{"code":39,"slug":414,"name":415,"path":416,"parent_code":417},"animal-health","疫病防控与兽药","\u002Ftopic\u002Flivestock\u002Fanimal-health","C",[],{"status":360,"locked":14,"version":34,"method":35,"evidence":420},{"candidates":421,"agricultural_evidence":174},[422,429,433],{"code":39,"score":161,"supported":174,"title":423,"abstract":424,"tags":428},[],[425,426,427],"人兽共患","veterinary","zoonotic",[410,29,26],{"code":45,"score":84,"supported":174,"title":430,"abstract":431,"tags":432},[],[27,176],[],{"code":417,"score":112,"supported":174,"title":434,"abstract":435,"tags":437},[],[436],"livestock",[],[439,440],"裂谷热病毒 蜱传 汉坦病毒","One Health 人兽共患病 监测","裂谷热病毒蜱传汉坦病毒-4508","10.3390\u002Fv18101110",{"doi":442,"openalex_id":444,"authors":445,"venue":401,"cited_by_count":73,"oa_url":398,"card":452,"direction":79,"ingested_from":81},"W7221029769",[446,449],{"name":447,"orcid":448},"Daniel J.-M. Desmecht","https:\u002F\u002Forcid.org\u002F0000-0001-9440-0993",{"name":450,"orcid":451},"Hani Boshra","https:\u002F\u002Forcid.org\u002F0000-0001-9924-8126",{"tldr":453,"method":454,"finding":455,"direction":456,"opportunity":457},"从One Health视角综述裂谷热、克里米亚-刚果出血热和汉坦病毒的生态流行与防控。","文献综述，整合分子诊断、基因组流行病学、生态建模、遥感和气候预测。","气候变化、农业扩张和土地利用改变驱动这些人兽共患病溢出，需跨部门联合监测。","农业绿色发展与碳","可探索农业扩张与气候变化耦合下虫媒病毒溢出风险的遥感预警模型。","2026-10-09T23:30:26.152648Z"]