Direct estimation of land-surface diurnal temperature cycle model parameters from MSG-SEVIRI brightness temperatures under clear sky conditions
Wu H.
2014
关键词Land surface temperature (LST) Diurnal temperature cycle (DTC) MSG-SEVIRI Diurnal temperature range (DTR) morning noaa satellites split-window algorithm southern great-plains thermal inertia soil-moisture regional evapotranspiration emissivity retrieval evaporative fraction combining afternoon temporal evolution
英文摘要The land-surface diurnal temperature cycle (DTC) and its model parameters characterize the thermal properties of the land surface. In this study, we propose a method to estimate the diurnal cycle of land surface temperature difference (Delta T-s) from the top-of-the-atmosphere brightness temperatures of MSG-SEVIRI channels 9 (10.8 mu m) and 10 (12.0 mu m). Fitting a DTC model to the diurnal cycle of AT, can directly determine the land-surface DTC model parameters without resorting to land surface temperature and emissivity. The performance of the DTC model was evaluated using MSG-SEVIRI pixels over different land cover types. The results show that the fitting accuracy (root mean square error) of the DTC model is better than 1 K for most pixels. The spatial patterns of diurnal temperature range, time of maximum temperature, and attenuation constant were analyzed, and the potential applications of these parameters are presented. These parameters are shown to be related to the physical properties of the land surface and may bring new insight into the estimation of thermal inertia and soil moisture. (C) 2014 Elsevier Inc All rights reserved.
出处Remote Sensing of Environment
150
34-43
收录类别SCI
语种英语
ISSN号0034-4257
内容类型SCI/SSCI论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/29913]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Wu H.. Direct estimation of land-surface diurnal temperature cycle model parameters from MSG-SEVIRI brightness temperatures under clear sky conditions. 2014.
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