[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5246":3,"related-5246":85},{"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":24,"tags":26,"primary_topic":9,"secondary_topics":32,"classification":33,"search_phrases":51,"slug":54,"view_count":22,"doi":55,"paper":56,"created_at":84},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。",null,"Environmental Research Communications","2026-10-16T00:00:00Z","论文",10,false,70,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,22,18,13,9,1,"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。",[25],{"name":10,"url":6},[27,28,29,30,31],"气候变化","遥感","NDVI","植被监测","佛罗里达",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"needs_review","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":14,"reason":50},[39,45],{"code":40,"score":41,"supported":14,"title":42,"abstract":43,"tags":44},"I3",3,[],[],[29,30,28],{"code":46,"score":22,"supported":14,"title":47,"abstract":48,"tags":49},"H7",[],[],[27],"农业相关性需要复核",[52,53],"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":55,"openalex_id":57,"authors":58,"venue":10,"cited_by_count":75,"oa_url":76,"card":77,"direction":81,"ingested_from":83},"W7222444517",[59,62,65,68,71,73],{"name":60,"orcid":61},"A. Mandal","https:\u002F\u002Forcid.org\u002F0009-0004-0192-7497",{"name":63,"orcid":64},"Aman Kumar Thapa","https:\u002F\u002Forcid.org\u002F0009-0003-8956-6632",{"name":66,"orcid":67},"Madan Thapa Chhetri","https:\u002F\u002Forcid.org\u002F0009-0002-3567-7591",{"name":69,"orcid":70},"Hongbo Su","https:\u002F\u002Forcid.org\u002F0000-0002-2147-3646",{"name":72,"orcid":9},"Yan Yong",{"name":74,"orcid":9},"Fred Bloetscher",0,"https:\u002F\u002Fiopscience.iop.org\u002Farticle\u002F10.1088\u002F2515-7620\u002Faeb5af\u002Fpdf",{"tldr":78,"method":79,"finding":80,"direction":81,"opportunity":82},"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。","农业遥感与作物表型","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。","openalex","2026-10-18T23:30:31.356484Z",{"total":86,"page":22,"page_size":86,"items":87},6,[88,135,212,274,324,370],{"id":89,"title":90,"url":91,"summary":92,"summary_zh":93,"content":9,"source_name":94,"source_url":91,"published_at":95,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":96,"score_detail":97,"sources":100,"tags":102,"primary_topic":9,"secondary_topics":105,"classification":106,"search_phrases":118,"slug":121,"view_count":75,"doi":122,"paper":123,"created_at":134},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":86,"substance":19,"depth":98,"authority":86,"freshness":17,"relevant":22,"comment":99},14,"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。",[101],{"name":94,"url":91},[28,29,103,30,104],"土地利用","城郊农业",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":107},{"candidates":108,"agricultural_evidence":14,"reason":50},[109,113],{"code":40,"score":41,"supported":14,"title":110,"abstract":111,"tags":112},[],[],[29,30,28],{"code":114,"score":22,"supported":14,"title":115,"abstract":116,"tags":117},"H6",[],[],[103],[119,120],"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":122,"openalex_id":124,"authors":125,"venue":94,"cited_by_count":75,"oa_url":128,"card":129,"direction":81,"ingested_from":83},"W7221946991",[126],{"name":127,"orcid":9},"Baba Baba","https:\u002F\u002Fboldscholar.com\u002Fimages\u002FJournal\u002FArticles\u002FI4_MS4_Baba_PeriUrban_Vegetation_NDVI_JIPR.pdf",{"tldr":130,"method":131,"finding":132,"direction":81,"opportunity":133},"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":136,"title":137,"url":138,"summary":139,"summary_zh":140,"content":9,"source_name":141,"source_url":138,"published_at":142,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":143,"score_detail":144,"sources":147,"tags":149,"primary_topic":151,"secondary_topics":156,"classification":157,"search_phrases":190,"slug":193,"view_count":22,"doi":194,"paper":195,"created_at":211},2514,"Spatiotemporal Assessment of Land Use and Land Cover Change Effects on Eco- Hydroclimatic Conditions in Kiambu County, Kenya","https:\u002F\u002Fdoi.org\u002F10.54536\u002Fajgt.v5i1.8320","Increasing land-use transitions are major drivers of eco-hydroclimatic changes, particularly in rapidly growing urban areas. This study therefore sought to assess the spatiotemporal effects of land use changes on eco-hydroclimatic conditions in Kiambu County, utilizing remote sensing and Geographic Information Systems technologies. Landsat satellite imagery from 2004 and 2024 was used. Rainfall data, Land Surface Temperature (LST), and Normalized Difference Vegetation Index (NDVI) were used to assess variations in vegetation cover, thermal patterns, and precipitation trends. Land use and land cover maps were generated using supervised classification, and accuracy assessments were performed to validate the classified maps. Statistical analyses were conducted to examine the relationships between LULC dynamics and eco-hydroclimatic parameters. The findings showed a significant expansion of built-up areas, accompanied by declines in cultivated land, vegetation cover, and water bodies. These changes were associated with increased LST, reduced vegetation health, and alterations in rainfall patterns. The study further demonstrated that increased urbanization and substantial landscape changes have significantly affected the county’s eco-hydroclimatic conditions. These changes have significant implications for environmental sustainability, water resources, climate change adaptation and resilience, and land use planning at the county level. The findings are expected to provide evidence to support informed policy formulation and sustainable spatial planning aimed at enhancing ecological resilience in Kiambu County.","土地利用转变日益加剧是生态-水文气候发生变化的主要驱动因素，在快速扩张的城市地区尤为显著。因此，本研究旨在利用遥感与地理信息系统技术，评估基安布县土地利用变化对生态-水文气候条件的时空影响。研究使用了2004年和2024年的Landsat卫星影像，并采用降雨数据、地表温度（LST）和归一化植被指数（NDVI）来评估植被覆盖、热力格局和降水趋势的变化。通过监督分类生成土地利用与土地覆盖图，并进行精度评估以验证分类结果。研究还开展了统计分析，以检验土地利用与土地覆盖动态与生态-水文气候参数之间的关系。研究结果表明，建设用地显著扩张，同时耕地、植被覆盖和水体减少。这些变化与地表温度升高、植被健康状况下降以及降雨格局改变相关。研究进一步表明，城市化加剧和景观的显著变化已对该县的生态-水文气候条件产生了重大影响。这些变化对县域层面的环境可持续性、水资源、气候变化适应与韧性以及土地利用规划具有重要意义。研究结果有望为制定知情政策和可持续空间规划提供证据支持，以增强基安布县的生态韧性。","American Journal of Geospatial Technology","2026-09-14T00:00:00Z",62,{"impact":17,"substance":19,"depth":145,"authority":20,"freshness":17,"relevant":22,"comment":146},15,"基于Landsat遥感与GIS的县域土地利用变化对生态水文气候影响研究，方法规范、数据扎实，但属肯尼亚地方案例，对国内三农信息化参考价值有限。",[148],{"name":141,"url":138},[27,28,29,103,150],"水资源",{"code":40,"slug":152,"name":153,"path":154,"parent_code":155},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":158,"locked":14,"version":35,"method":36,"evidence":159},"classified",{"candidates":160,"agricultural_evidence":162},[161,167,173,180,186],{"code":40,"score":17,"supported":162,"title":163,"abstract":164,"tags":166},true,[],[28,165],"remote sensing",[29,28],{"code":46,"score":168,"supported":162,"title":169,"abstract":170,"tags":172},7,[],[27,171],"climate change",[27],{"code":174,"score":86,"supported":162,"title":175,"abstract":176,"tags":179},"I4",[],[177,178],"地理信息","geographic information",[],{"code":181,"score":182,"supported":162,"title":183,"abstract":184,"tags":185},"H3",4,[],[150],[150],{"code":114,"score":22,"supported":14,"title":187,"abstract":188,"tags":189},[],[],[103],[191,192],"土地利用 气候变化 水资源 遥感","土地利用 气候变化","土地利用气候变化水资源遥感-2514","10.54536\u002Fajgt.v5i1.8320",{"doi":194,"openalex_id":196,"authors":197,"venue":141,"cited_by_count":75,"oa_url":204,"card":205,"direction":210,"ingested_from":83},"W7212965144",[198,200,202],{"name":199,"orcid":9},"Pauline Angerlyline Wamalwa",{"name":201,"orcid":9},"Samson Mabwoga",{"name":203,"orcid":9},"Charity Konana","https:\u002F\u002Fjournals.e-palli.com\u002Fhome\u002Findex.php\u002Fajgt\u002Farticle\u002Fdownload\u002F8320\u002F4014",{"tldr":206,"method":207,"finding":208,"direction":81,"opportunity":209},"基于Landsat影像评估肯尼亚Kiambu县2004-2024年土地利用变化对生态水文气候的影响。","Landsat影像监督分类、NDVI、地表温度与降雨数据统计分析。","建设用地扩张导致耕地、植被和水体减少，地表温度升高、降雨格局改变。","可结合多源遥感与水文模型，量化城市化对农业区水热平衡的长期影响机制。","智慧农业 \u002F 农业物联网","2026-09-15T23:30:08.755171Z",{"id":213,"title":214,"url":215,"summary":216,"summary_zh":217,"content":9,"source_name":218,"source_url":215,"published_at":219,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":220,"score_detail":221,"sources":224,"tags":226,"primary_topic":228,"secondary_topics":233,"classification":234,"search_phrases":252,"slug":255,"view_count":256,"doi":257,"paper":258,"created_at":273},1740,"Spatio-Temporal Dynamics of Vegetation Response to Climatic Variability in Akinyele Local Government Area, Oyo State, Nigeria","https:\u002F\u002Fdoi.org\u002F10.33003\u002Ffjs-2026-1016-5660","Although vegetation is very sensitive to climatic variability, there is limited evidence on a local scale in many tropical areas. This study has evaluated the spatio-temporal variability of vegetation response to climatic variability in Akinyele Local Government Area, Oyo State, Nigeria using NDVI, Rainfall, LST data of multi-temporal satellite image for the years 2015, 2020 and 2025. Google Earth Engine was used to process the sentinel-2 imagery, CHIRPS rainfall data, and MODIS LST products. NDVI was categorized into 3 classes (sparse, moderate and dense vegetation). The data set consisted of 5,991 sample points with which statistical analyses (Pearson correlation, multiple linear regression, ANOVA) were carried out. Results indicated that from 2015 to 2020 the density of vegetation decreased by 126.45 km² but increased by 158.55 km² until 2025, in accordance with the climatic changes. Mean NDVI decreased from 0.629 in 2015 to 0.611 in 2020, then increased to 0.654 in 2025. LST had a consistently high negative correlation (r = -0.650 to -0.669, p \u003C 0.001) with NDVI, whereas there was a relatively weak positive correlation with rainfall (r = 0.291–0.336). Regression models accounted for 43%–45% of the variability in NDVI, with LST being the most significant predictor (p \u003C 0.001). The results provide a basis for understanding how temperature is the dominant climatic factor controlling vegetation in the study area, and its implications for land use planning, climate change adaptation, sustainable agriculture, and urban green infrastructure in the urbanising landscapes of Nigeria.","尽管植被对气候变率非常敏感，但在许多热带地区，关于局部尺度的证据仍然有限。本研究利用2015年、2020年和2025年的多时相卫星影像数据，包括归一化植被指数（NDVI）、降雨量和地表温度（LST），评估了尼日利亚奥约州阿基涅尔地方政府区域植被对气候变率的时空响应。研究采用谷歌地球引擎（Google Earth Engine）处理哨兵二号（Sentinel-2）影像、CHIRPS降雨数据和MODIS地表温度产品。NDVI被划分为三个等级（稀疏植被、中等植被和茂密植被）。数据集包含5，991个样本点，并据此进行了统计分析（皮尔逊相关分析、多元线性回归、方差分析）。结果表明，从2015年到2020年，植被密度减少了126.45平方公里，但到2025年又增加了158.55平方公里，这与气候变化相一致。平均NDVI从2015年的0.629降至2020年的0.611，随后在2025年上升至0.654。地表温度与NDVI始终呈高度负相关（r = -0.650至-0.669，p \u003C 0.001），而降雨量与NDVI呈相对较弱的正相关（r = 0.291–0.336）。回归模型解释了NDVI变异的43%–45%，其中地表温度是最显著的预测因子（p \u003C 0.001）。研究结果为理解温度作为控制研究区植被的主导气候因子提供了基础，并揭示了其对尼日利亚城市化景观中土地利用规划、气候变化适应、可持续农业和城市绿色基础设施建设的启示意义。","FUDMA Journal of Sciences","2026-09-03T00:00:00Z",57,{"impact":17,"substance":222,"depth":19,"authority":17,"freshness":41,"relevant":22,"comment":223},20,"地方尺度植被对气候响应的遥感研究，数据详实，但影响范围有限，时效性较低。",[225],{"name":218,"url":215},[227,27,29,30],"农业遥感",{"code":46,"slug":229,"name":230,"path":231,"parent_code":232},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":158,"locked":14,"version":35,"method":36,"evidence":235},{"candidates":236,"agricultural_evidence":162},[237,241,248],{"code":46,"score":168,"supported":162,"title":238,"abstract":239,"tags":240},[],[27,171],[27],{"code":242,"score":86,"supported":162,"title":243,"abstract":244,"tags":247},"H8",[],[245,246],"可持续农业","sustainable agriculture",[],{"code":40,"score":41,"supported":14,"title":249,"abstract":250,"tags":251},[],[],[29,227,30],[253,254],"农业遥感 植被监测 气候变化 NDVI","农业遥感 植被监测","农业遥感植被监测气候变化NDVI-1740",2,"10.33003\u002Ffjs-2026-1016-5660",{"doi":257,"openalex_id":259,"authors":260,"venue":218,"cited_by_count":75,"oa_url":267,"card":268,"direction":81,"ingested_from":83},"W7207552979",[261,263,265],{"name":262,"orcid":9},"Monday Ghandi Daniel",{"name":264,"orcid":9},"Ojodugbowa Shedrach Omachoko",{"name":266,"orcid":9},"Iyam Ubi Effiom","https:\u002F\u002Ffjs.fudutsinma.edu.ng\u002Findex.php\u002Ffjs\u002Farticle\u002Fdownload\u002F5660\u002F3848",{"tldr":269,"method":270,"finding":271,"direction":81,"opportunity":272},"利用遥感数据评估尼日利亚某地植被对气候变化的时空响应。","GEE处理Sentinel-2、CHIRPS、MODIS数据，统计相关与回归分析","温度是主导因子，与NDVI强负相关，降雨弱正相关。","可延伸至热带城市化区域植被-气候耦合模型及适应性管理策略研究。","2026-09-05T23:30:27.920627Z",{"id":275,"title":276,"url":277,"summary":278,"summary_zh":9,"content":9,"source_name":279,"source_url":277,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":280,"score_detail":281,"sources":286,"tags":288,"primary_topic":9,"secondary_topics":292,"classification":293,"search_phrases":305,"slug":308,"view_count":75,"doi":309,"paper":310,"created_at":323},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":282,"substance":19,"depth":283,"authority":284,"freshness":21,"relevant":22,"comment":285},16,17,12,"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。",[287],{"name":279,"url":277},[289,28,29,290,291],"智慧农业","果园管理","油橄榄",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":294},{"candidates":295,"agricultural_evidence":14,"reason":50},[296,300],{"code":40,"score":20,"supported":162,"title":297,"abstract":298,"tags":299},[165],[165],[29,28],{"code":301,"score":22,"supported":14,"title":302,"abstract":303,"tags":304},"I1",[],[],[289],[306,307],"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":309,"openalex_id":311,"authors":312,"venue":279,"cited_by_count":75,"oa_url":322,"card":9,"direction":210,"ingested_from":83},"W7222710807",[313,316,319],{"name":314,"orcid":315},"Mahrokh Sharifmand","https:\u002F\u002Forcid.org\u002F0009-0006-8010-5348",{"name":317,"orcid":318},"Mehdi Taheri","https:\u002F\u002Forcid.org\u002F0000-0002-9228-763X",{"name":320,"orcid":321},"Ebrahim Sepehr","https:\u002F\u002Forcid.org\u002F0000-0001-5843-0669","https:\u002F\u002Fwww.researchsquare.com\u002Farticle\u002Frs-11156833\u002Flatest.pdf","2026-10-18T23:30:11.167282Z",{"id":325,"title":326,"url":327,"summary":328,"summary_zh":329,"content":9,"source_name":330,"source_url":327,"published_at":331,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":143,"score_detail":332,"sources":334,"tags":336,"primary_topic":9,"secondary_topics":340,"classification":341,"search_phrases":353,"slug":356,"view_count":22,"doi":357,"paper":358,"created_at":369},4827,"تحليل العلاقة بين الجفاف الموسمي وتناقص الغطاء النباتي واثره في تكرار الظواهر الغبارية في محافظة المثنى للمدة (1980-2025)","https:\u002F\u002Fdoi.org\u002F10.66026\u002Fksfnen31","تعتبر الظواهر الغبارية من الظواهر المناخية التي لها العديد من التأثيرات السلبية على البيئة والاقتصاد والصحة. والغرض من هذه الدراسة التحقق من العلاقة بين تكرار العواصف الرملية والغبار المتطاير والغبار العالق والعوامل المناخية خاصة في المواسم الجافة والرطبة ، وتحليل ودراسة إمكانية حدوث الظواهر الغبارية في منطقة الدراسة وتأثير العوامل المناخية على تكرار حدوثها. اتبعت الدراسة المنهج الوصفي التحليلي، وذلك من خلال الاعتماد على بيانات محطة السماوة المناخية خلال مدة الدراسة من ( 1980- 2025 ) والمحطات الضابطة النجف والديوانية وايضا على بيانات الاستشعار عن بعد الخاصة بالغطاء النباتي الـ NDVI . حيث بينت نتائج الدراسة ان الظروف المناخية تؤثر على التوزيع المكاني للظواهر الغبارية وتكرارها، كما واستخدمت الدراسة معاملات الارتباط لمعالجة البيانات وبيان اتجاه وقوة العلاقة بين الظاهرة المدروسة وأيهما اكثر تأثير من خلال المتغيرات المستقلة والعوامل المناخية المؤثرة فيها. وتوصلت الدراسة إلى ان مصفوفة الارتباط ذات علاقة موجبة قوية بين سرعة الرياح و العاصفة الغبارية أكثر من ارتباطها بأي متغير آخر إذ بلغ معامل الارتباط ( r= 0.79 )، كما ارتبطت إيجابياً بالغبار المتصاعد (r=0.72) والغبار العالق( (r=0.61اما العلاقة الارتباطية بين الرطوبة النسبية والامطار علاقة عك تمثلت منطقة الدراسة بمحافظة المثنى التي تقع في الجزء الجنوبي من العراق يحدها من الشمال محافظة القادسية ومن الشرق محافظتي البصرة وذي قار ومن الغرب محافظة النجف ومن الجنوب المملكة العربية السعودية ، تقع فلكياً بين دائرتي عرض(¢5 29°) ( ¢42 31°) شمالاً وخطي طول (¢50- 43°) و (¢32 -46°)[i] شرقاً كما في الخريطة (1) ، في حين تمثلت المدة الزمنية للظواهر الغبارية من (1980-2025) بالاعتماد على البيانات المناخية لمحطة السماوة و محطة النجف والديوانية كمحطات ضابطة . سية قوية . [i] - اشواق حسن حميد ، الاتجاه الحديث في عناصر المناخ وظواهره لمحافظة المثنى واثره في الجفاف للمدة ( 1987- 2020) ، مجلة الجامعة العراقية ، المجلد 46 ، العدد 2 ، 2023 ، ص 313.","沙尘现象是一种气候现象，对环境、经济和健康具有诸多负面影响。本研究旨在探讨沙尘暴、扬尘和悬浮尘埃发生频率与气候因素之间的关系，尤其是在干旱季和湿润季，并分析和研究研究区域内沙尘现象发生的可能性以及气候因素对其发生频率的影响。本研究采用描述性分析方法，依据萨马沃气候站在研究期（1980—2025年）的数据以及纳杰夫和迪瓦尼耶对照站的数据，同时依据植被归一化植被指数（NDVI）的遥感数据。研究结果表明，气候条件影响沙尘现象的空间分布及其发生频率。本研究还使用相关系数处理数据，说明所研究现象与各独立变量及影响气候因素之间关系的方向和强度，并判断哪个因素影响更大。研究发现，相关矩阵显示风速与沙尘暴之间存在强正相关关系，其相关性高于与其他任何变量的相关性，相关系数达到（r=0.79）；风速与扬尘（r=0.72）和悬浮尘埃（r=0.61）也呈正相关。至于相对湿度与降雨之间的相关关系则呈强负相关。研究区域为穆萨纳省，位于伊拉克南部，北邻卡迪西亚省，东接巴士拉省和济加尔省，西连纳杰夫省，南与沙特阿拉伯王国接壤。该省在天文位置上位于北纬（29°5′）至（31°42′）之间，东经（43°50′）至（46°32′）之间，如图1所示。沙尘现象的时间跨度则为（1980—2025年），依据萨马沃站以及作为对照站的纳杰夫站和迪瓦尼耶站的气候数据。","Journal Of Babylon Center for Humanities Studies","2026-10-11T00:00:00Z",{"impact":17,"substance":19,"depth":145,"authority":284,"freshness":21,"relevant":22,"comment":333},"基于1980-2025年气候与NDVI数据定量分析干旱、植被退化与沙尘频次关系，方法规范但属区域气候研究，与农业信息化关联偏弱。",[335],{"name":330,"url":327},[27,29,337,338,339],"遥感监测","干旱","沙尘天气",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":342},{"candidates":343,"agricultural_evidence":14,"reason":50},[344,349],{"code":40,"score":345,"supported":162,"title":346,"abstract":347,"tags":348},5,[],[28],[29,337],{"code":46,"score":182,"supported":162,"title":350,"abstract":351,"tags":352},[],[338],[27],[354,355],"穆萨纳省 沙尘 植被覆盖","NDVI 干旱 沙尘暴 伊拉克","穆萨纳省沙尘植被覆盖-4827","10.66026\u002Fksfnen31",{"doi":357,"openalex_id":359,"authors":360,"venue":330,"cited_by_count":75,"oa_url":363,"card":364,"direction":81,"ingested_from":83},"W7221436686",[361],{"name":362,"orcid":9},"حوراء راضي جاسم محمد","https:\u002F\u002Fbcchj.uobabylon.edu.iq\u002Findex.php\u002Fbcchj\u002Farticle\u002Fdownload\u002F4964\u002F5019",{"tldr":365,"method":366,"finding":367,"direction":81,"opportunity":368},"分析伊拉克穆萨纳省1980-2025年季节性干旱、植被减少与沙尘现象频率的关系。","利用气象站数据与NDVI遥感数据，采用描述性分析和相关系数法。","风速与沙尘暴相关性最强(r=0.79)，相对湿度和降雨与沙尘现象呈强负相关。","可结合多源遥感与机器学习，构建干旱-植被-沙尘耦合预警模型，并拓展到其他干旱区。","2026-10-13T23:30:25.135328Z",{"id":371,"title":372,"url":373,"summary":374,"summary_zh":375,"content":9,"source_name":376,"source_url":373,"published_at":377,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":280,"score_detail":378,"sources":381,"tags":383,"primary_topic":9,"secondary_topics":386,"classification":387,"search_phrases":433,"slug":436,"view_count":75,"doi":437,"paper":438,"created_at":454},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":284,"substance":379,"depth":283,"authority":20,"freshness":21,"relevant":22,"comment":380},21,"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。",[382],{"name":376,"url":373},[289,384,28,29,385],"精准农业","作物监测",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":388},{"candidates":389,"agricultural_evidence":162,"reason":432},[390,395,402,409,416,422,428],{"code":301,"score":13,"supported":162,"title":391,"abstract":393,"tags":394},[392],"precision agriculture",[],[289,384],{"code":396,"score":86,"supported":162,"title":397,"abstract":398,"tags":401},"A3",[],[399,400],"玉米","maize",[],{"code":403,"score":86,"supported":162,"title":404,"abstract":405,"tags":408},"F3",[],[406,407],"施肥","fertilization",[],{"code":410,"score":86,"supported":162,"title":411,"abstract":412,"tags":415},"H2",[],[413,414],"土壤","soil",[],{"code":417,"score":41,"supported":162,"title":418,"abstract":419,"tags":421},"A4",[],[420],"向日葵",[],{"code":423,"score":41,"supported":162,"title":424,"abstract":425,"tags":427},"F4",[],[426],"农药",[],{"code":40,"score":41,"supported":14,"title":429,"abstract":430,"tags":431},[],[],[29,385,28],"多个产业证据相当，需要确认主归属",[434,435],"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":437,"openalex_id":439,"authors":440,"venue":376,"cited_by_count":75,"oa_url":448,"card":449,"direction":81,"ingested_from":83},"W7221533152",[441,443,446],{"name":442,"orcid":9},"Yana Lipiyska",{"name":444,"orcid":445},"Tsvetelina Atansova-Evdenova","https:\u002F\u002Forcid.org\u002F0009-0000-5669-6439",{"name":447,"orcid":9},"A. S. Yordanov","https:\u002F\u002Fjbgs.arphahub.com\u002Farticle\u002F185817\u002Fdownload\u002Fpdf\u002F",{"tldr":450,"method":451,"finding":452,"direction":81,"opportunity":453},"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"]