Evaluation of Three Parametric Models for Estimating Directional Thermal Radiation from Simulation, Airborne, and Satellite Data

doi:10.3390/rs10030420

	Evaluation of Three Parametric Models for Estimating Directional Thermal Radiation from Simulation, Airborne, and Satellite Data
	Liu, Xiangyang 1,2; Tang, Bo-Hui 1,2; Li, Zhao-Liang 1,2,3
刊名	REMOTE SENSING
	2018-03-01
卷号	10 期号:3 页码:18
关键词	land surface temperature (LST) directional thermal radiation parametric model MODIS AATSR
ISSN号	2072-4292
DOI	10.3390/rs10030420
通讯作者	Tang, Bo-Hui(tangbh@igsnrr.ac.cn)
英文摘要	An appropriate model to correct thermal radiation anisotropy is important for the wide applications of land surface temperature (LST). This paper evaluated the performance of three published directional thermal radiationmodels-the Roujean-Lagouarde (RL) model, the Bidirectional Reflectance Distribution Function (BRDF) model, and the Vinnikov model-at canopy and pixel scale using simulation, airborne, and satellite data. The results at canopy scale showed that (1) the three models could describe directional anisotropy well and the Vinnikov model performed the best, especially for erectophile canopy or low leaf area index (LAI); (2) the three models reached the highest fitting accuracy when the LAI varied from 1 to 2; and (3) the capabilities of the three models were all restricted by the hotspot effect, plant height, plant spacing, and three-dimensional structure. The analysis at pixel scale indicated a consistent result that the three models presented a stable effect both on verification and validation, but the Vinnikov model had the best ability in the erectophile canopy (savannas and grassland) and low LAI (barren or sparsely vegetated) areas. Therefore, the Vinnikov model was calibrated for different land cover types to instruct the angular correction of LST. Validation with the Surface Radiation Budget Network (SURFRAD)-measured LST demonstrated that the root mean square (RMSE) of the Moderate Resolution Imaging Spectroradiometer (MODIS) LST product could be decreased by 0.89 K after angular correction. In addition, the corrected LST showed better spatial uniformity and higher angular correlation.
资助项目	National Natural Science Foundation of China[41571353] ; National Natural Science Foundation of China[41231170] ; Innovation Project of LREIS[O88RA801YA]
WOS关键词	LAND-SURFACE TEMPERATURE ; SPLIT-WINDOW ALGORITHM ; REMOTE-SENSING APPLICATIONS ; ANGULAR NORMALIZATION ; VEGETATION CANOPIES ; EMISSIVITY ; ANISOTROPY ; PRODUCTS ; VALIDATION ; SPACE
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000428280100066
资助机构	National Natural Science Foundation of China ; Innovation Project of LREIS
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/54744]
专题	中国科学院地理科学与资源研究所
通讯作者	Tang, Bo-Hui
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agr Remote Sensing, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Liu, Xiangyang,Tang, Bo-Hui,Li, Zhao-Liang. Evaluation of Three Parametric Models for Estimating Directional Thermal Radiation from Simulation, Airborne, and Satellite Data[J]. REMOTE SENSING,2018,10(3):18.
APA	Liu, Xiangyang,Tang, Bo-Hui,&Li, Zhao-Liang.(2018).Evaluation of Three Parametric Models for Estimating Directional Thermal Radiation from Simulation, Airborne, and Satellite Data.REMOTE SENSING,10(3),18.
MLA	Liu, Xiangyang,et al."Evaluation of Three Parametric Models for Estimating Directional Thermal Radiation from Simulation, Airborne, and Satellite Data".REMOTE SENSING 10.3(2018):18.