干旱区生态环境知识资源中心(Arid): Directional Land Surface Emissivity Retrieval From Combined MERSI/FY-3D/E and MODIS Data

Arid

DOI	10.1109/TGRS.2024.3385657
	Directional Land Surface Emissivity Retrieval From Combined MERSI/FY-3D/E and MODIS Data
	Wang, Yi-Cheng; Jiang, Geng-Ming
通讯作者	Jiang, GM
来源期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN	0196-2892
EISSN	1558-0644
出版年	2024
卷号	62
英文摘要	This article addresses the directional land surface emissivity (LSE) retrieval from the data acquired by the MEdium Resolution Spectral Imager (MERSI) on Fengyun 3D and 3E (FY-3D/E) satellites and the Moderate-resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua satellites. First, a method to retrieve directional LSEs from multisatellite data is developed based on the radiative transfer model. Then, the directional LSEs are retrieved from the combined MERSI/FY-3D/E, MODIS/Aqua, and MODIS/Terra data in January 1-16 and July 1-16 of 2022 over a study area with longitude from 100 degrees E to 130 degrees E and latitude from 20 degrees N to 50 degrees N. Finally, the retrieved LSEs are, respectively, cross-validated with the MODIS/Terra land surface temperature (LST) and emissivity 8-day level 3 global 0.05 degrees V61 (MOD11C2) product and the MODIS/Terra LST/3-band emissivity 8-day level 3 global 0.05 degrees V61 (MOD21C2) product over the entire study area, and validated against the in situ data at three true desert and semi-arid sites. The results show that the multisatellite data provide more information of view angles and solar angles, which makes the determination of bidirectional reflectance distribution function (BRDF) model and the LSE retrieval more robust. The LSEs retrieved in this work have strong dependence on time and land cover types. Over the vegetated areas, the LSEs retrieved in this work basically agree with the MOD11C2 and MOD21C2 products, while over the true desert and semi-arid areas, the LSEs in the MOD11C2 and MOD21C2 products are obviously overestimated, especially the MOD11C2 product, but the LSEs in this work are consistent with the in situ data. In general, the method developed in this work is valid and the retrieved LSEs are accurate.
英文关键词	Satellites Land surface Land surface temperature Instruments MODIS Terrestrial atmosphere Atmospheric modeling Directional land surface emissivity (LSE) multisatellite data retrieval method temperature-independent spectral indices (TISI) concept validation
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001225891900033
WOS关键词	BIDIRECTIONAL REFLECTANCE ; TEMPERATURE RETRIEVAL ; BRDF MODELS ; ALGORITHM ; VALIDATION ; CHANNEL ; ALBEDO ; MIDDLE
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404148
推荐引用方式 GB/T 7714	Wang, Yi-Cheng,Jiang, Geng-Ming. Directional Land Surface Emissivity Retrieval From Combined MERSI/FY-3D/E and MODIS Data[J],2024,62.
APA	Wang, Yi-Cheng,&Jiang, Geng-Ming.(2024).Directional Land Surface Emissivity Retrieval From Combined MERSI/FY-3D/E and MODIS Data.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,62.
MLA	Wang, Yi-Cheng,et al."Directional Land Surface Emissivity Retrieval From Combined MERSI/FY-3D/E and MODIS Data".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 62(2024).