[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"topic-MODIS":3},{"name":4,"kind":5,"tokens":6,"total":7,"page":8,"page_size":9,"items":10},"MODIS","tag",[4],2,1,100,[11,76],{"id":12,"title":13,"url":14,"summary":15,"summary_zh":16,"content":17,"source_name":18,"source_url":14,"published_at":19,"category":20,"cover_url":17,"hotness":21,"is_selected":22,"score":23,"score_detail":24,"sources":26,"tags":28,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":53,"slug":56,"view_count":23,"doi":57,"paper":58,"created_at":75},5244,"Diurnal and Seasonal Surface Urban Heat Island Dynamics and Thermal Field Variance in Faridabad District, India: A MODIS-Based Assessment (2001–2025)","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fajgr\u002F2026\u002Fv9i4489","Aims: To examine the spatial and temporal dynamics of land surface temperature (LST), urban–rural biophysical indices (BUI and NDVI), daily Surface Urban Heat Island Intensity (SUHII), and the Urban Thermal Field Variance Index (UTFVI) on a diurnal and seasonal basis in Faridabad District of northern India. Study Design: Multi-temporal geospatial remote sensing and statistical modelling study. Place and Duration of Study: Faridabad District (Urban Core and Rural Hinterland), Haryana, India; Summer and Winter Seasons Analysed through Six Benchmark Periods (2001, 2005, 2010, 2015, 2020, and 2025). Methodology: MODIS optical (MOD09A1) and thermal infrared (MOD11A2) composite data were analysed using Google Earth Engine at the daytime (10:30 am) and night-time (10:30 pm) overpasses. LST values were grouped into UTFVI (Urban Thermal Field Variance Index) classes. Multivariable OLS regressions and empirical biophysical sensitivities such as Vegetation Cooling Efficiency (VCE) and Impervious Heating Effect (IHE) were evaluated in Python using a stratified random grid (N = 2,500 sampling locations; 235 n 872 pixels). Results: Over the 25-year study period, the built-up gradient for winter (BUI) increased from +0.096 to +0.233 in association with agricultural changes and urban development in the region, while the vegetative deficit for winter (NDVI) increased from -0.061 to -0.136. In terms of temperature, Faridabad showed a SUHI regime during summer (ranging from to ), where the urban core nocturnal LST increased from in 2001 to in 2025, together with regional warming and compression of the urban DTR. The pre-monsoon diurnal regimes showed the SUCI phenomenon (as low as in 2005) owing to the effects of sensible heating in the desiccated fallow rural lands after harvest season. Urban Core thermal field variance showed that moderate thermal stress (UTFVI Class 3) expanded from to , while severe stress tiers (Classes 4–6) concentrated within industrial estates. Daytime vegetation provided consistent cooling (VCE up to per ), whereas nocturnal VCE exhibited temporal variability and diminished transpirational cooling following stomatal closure. Conclusion: Urban greening offers a strong mechanism for daytime heat mitigation but is insufficient to address independently nocturnal heat trapping resulting from the high thermal inertia of construction materials. The sustainable heat-mitigation strategy in industrial nodes entails a combination of urban greening and reflective cool coatings on industrial sheds and impervious surfaces.","目的：考察印度北部法里达巴德县地表温度（LST）、城乡生物物理指数（BUI和NDVI）、日间地表城市热岛强度（SUHII）以及城市热场方差指数（UTFVI）在昼夜和季节尺度上的时空动态。研究设计：多时相地理空间遥感与统计建模研究。研究地点与时长：印度哈里亚纳邦法里达巴德县（城市核心区与乡村腹地）；通过六个基准时段（2001、2005、2010、2015、2020和2025年）分析夏季与冬季。方法：利用Google Earth Engine分析MODIS光学（MOD09A1）和热红外（MOD11A2）合成数据，分别对应白天（上午10：30）和夜间（晚上10：30）过境时刻。LST值按UTFVI（城市热场方差指数）类别分组。在Python中采用分层随机网格（N=2，500个采样点；235 n 872像素）评估多变量OLS回归及经验生物物理敏感性指标，如植被冷却效率（VCE）和不透水面增温效应（IHE）。结果：在25年研究期内，冬季建成区梯度（BUI）从+0.096增至+0.233，与该地区农业变化和城市发展相关；冬季植被亏缺（NDVI）从-0.061增至-0.136。温度方面，法里达巴德在夏季呈现SUHI态势（范围为至），城市核心区夜间LST从2001年的增至2025年的，同时伴随区域增暖和城市日较差（DTR）压缩。季风前昼夜态势因收获季后干燥休耕乡村土地的感热加热效应而呈现SUCI现象（2005年低至）。城市核心区热场方差显示，中度热胁迫（UTFVI第3类）从扩大至，而严重胁迫层级（第4—6类）集中于工业园区。白天植被提供持续冷却（VCE最高达每），而夜间VCE呈现时间变异性，且气孔关闭后蒸腾冷却减弱。结论：城市绿化是白天热缓解的有力机制，但不足以独立应对建筑材料高热惯性导致的夜间热量滞留。工业节点的可持续热缓解策略需要将城市绿化与反射性",null,"Asian Journal of Geographical Research","2026-10-17T00:00:00Z","论文",10,false,0,{"impact":23,"substance":23,"depth":23,"authority":23,"freshness":23,"relevant":23,"comment":25},"印度城市热岛遥感研究，属城市气候与环境领域，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。",[27],{"name":18,"url":14},[29,30,31,4],"遥感监测","地表温度","城市热岛",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":40,"locked":22,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45],{"code":33,"score":46,"supported":47,"title":48,"abstract":49,"tags":52},8,true,[],[50,51],"遥感","remote sensing",[30,29],[54,55],"Faridabad 城市热岛","MODIS 地表温度 遥感","Faridabad城市热岛-5244","10.9734\u002Fajgr\u002F2026\u002Fv9i4489",{"doi":57,"openalex_id":59,"authors":60,"venue":18,"cited_by_count":23,"oa_url":14,"card":68,"direction":72,"ingested_from":74},"W7222794736",[61,64,66],{"name":62,"orcid":63},"Abhishek Malik","https:\u002F\u002Forcid.org\u002F0009-0009-4878-0871",{"name":65,"orcid":17},"Shubham Mor",{"name":67,"orcid":17},"Gaurav Kalotra",{"tldr":69,"method":70,"finding":71,"direction":72,"opportunity":73},"基于MODIS分析印度Faridabad 2001–2025年昼夜与季节地表城市热岛及热场差异演变。","MODIS光学与热红外数据、Google Earth Engine、OLS回归及","白天绿化降温显著，但夜间建筑热惯性导致的热滞留难以单独缓解。","农业遥感与作物表型","可结合城乡梯度与作物休耕期感热效应，研究农业用地变化对昼夜热岛的非对称贡献。","openalex","2026-10-18T23:30:31.211684Z",{"id":77,"title":78,"url":79,"summary":80,"summary_zh":81,"content":17,"source_name":82,"source_url":79,"published_at":83,"category":20,"cover_url":17,"hotness":21,"is_selected":22,"score":84,"score_detail":85,"sources":92,"tags":94,"primary_topic":17,"secondary_topics":98,"classification":99,"search_phrases":116,"slug":119,"view_count":110,"doi":120,"paper":121,"created_at":133},3675,"Long-term (2000-2023) Monitoring and Hotspot Identification of Total Suspended Solids and Turbidity in Lake Tana, Ethiopia, Using High Temporal Resolution MODIS Satellite Imagery","https:\u002F\u002Fdoi.org\u002F10.1088\u002F2515-7620\u002Faeac9e","Abstract Monitoring water quality is challenging in data-scarce regions. This study examines the use of remote sensing to assess key water quality parameters in Lake Tana, Northwestern Ethiopia, to support the sustainable management of Lake water resources. The Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery was applied for long-term spatiotemporal assessment of total suspended solids (TSS) and turbidity. The results show that annual mean TSS increased from 350 mg\u002Fl in 2000 to 640 mg\u002Fl in 2020, while turbidity increased from 120 to about 500 NTU before both parameters declined during 2020-2023. Seasonal analysis indicates that the highest TSS and turbidity occurred during the peak rainy month of July. The spatial variation revealed that elevated TSS and turbidity levels were concentrated primarily at the inlets of the major feeder rivers to Lake Tana. This reflects a substantial influx of sediment into the Lake during rainy seasons. During post-rainy months, TSS is redistributed across different sections of the Lake by wind. The findings of this work demonstrate the ability of remote sensing to provide long-term monitoring of water quality parameters, offering valuable insights for the sustainable management of Lake water resources.","摘要 在数据稀缺地区，水质监测面临挑战。本研究探讨了利用遥感技术评估埃塞俄比亚西北部塔纳湖（Lake Tana）关键水质参数，以支持湖泊水资源的可持续管理。研究采用中分辨率成像光谱仪（MODIS）卫星影像，对总悬浮固体（TSS）和浊度进行了长期时空评估。结果表明，年均TSS从2000年的350 mg\u002Fl增至2020年的640 mg\u002Fl，浊度从120 NTU增至约500 NTU，随后两者在2020—2023年间均有所下降。季节性分析表明，TSS和浊度最高值出现在降雨高峰的7月。空间变化显示，较高的TSS和浊度水平主要集中在塔纳湖主要补给河流的入湖口处，反映了雨季大量泥沙流入湖泊。在雨后月份，TSS受风力作用在湖泊不同区域重新分布。本研究结果证明了遥感技术在水质参数长期监测方面的能力，为湖泊水资源的可持续管理提供了有价值的见解。","Environmental Research Communications","2026-09-25T00:00:00Z",74,{"impact":86,"substance":87,"depth":88,"authority":89,"freshness":90,"relevant":8,"comment":91},12,22,18,13,9,"利用MODIS长时序遥感监测塔纳湖水质，方法成熟、数据跨度长，对数据稀缺地区水质管理有参考价值，但属区域案例研究，公共影响有限。",[93],{"name":82,"url":79},[29,95,96,97,4],"水质监测","埃塞俄比亚","湖泊生态",[],{"status":100,"locked":22,"version":41,"method":42,"evidence":101},"needs_review",{"candidates":102,"agricultural_evidence":22,"reason":115},[103,108],{"code":33,"score":104,"supported":47,"title":105,"abstract":106,"tags":107},7,[],[50,51],[29],{"code":109,"score":110,"supported":47,"title":111,"abstract":112,"tags":114},"H3",3,[],[113],"水资源",[],"农业相关性需要复核",[117,118],"Lake Tana MODIS 水质监测","埃塞俄比亚 塔纳湖 悬浮物","LakeTanaMODIS水质监测-3675","10.1088\u002F2515-7620\u002Faeac9e",{"doi":120,"openalex_id":122,"authors":123,"venue":82,"cited_by_count":23,"oa_url":127,"card":128,"direction":72,"ingested_from":74},"W7214348540",[124],{"name":125,"orcid":126},"Maru Fentaw Getie","https:\u002F\u002Forcid.org\u002F0009-0003-9743-4365","https:\u002F\u002Fiopscience.iop.org\u002Farticle\u002F10.1088\u002F2515-7620\u002Faeac9e\u002Fpdf",{"tldr":129,"method":130,"finding":131,"direction":72,"opportunity":132},"利用MODIS影像长时序监测埃塞俄比亚塔纳湖悬浮物与浊度并识别热点区域。","MODIS高时间分辨率遥感影像，2000-2023年TSS与浊度反演及时空分析。","TSS与浊度2000-2020年显著上升，2020-2023年回落，高值集中于主要入湖河流口。","可结合降水与土地利用数据，量化流域农业侵蚀对湖泊水质贡献并构建预警模型。","2026-09-28T23:30:30.946130Z"]