干旱区生态环境知识资源中心(Arid): Radiometric Cross Calibration and Validation Using 4 Angle BRDF Model between Landsat 8 and Sentinel 2A

Arid

DOI	10.3390/rs12050806
	Radiometric Cross Calibration and Validation Using 4 Angle BRDF Model between Landsat 8 and Sentinel 2A
	Farhad, M. M.1; Kaewmanee, Morakot 2; Leigh, Larry 2; Helder, Dennis 3
通讯作者	Farhad, M. M.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:5
英文摘要	This work describes a proposed radiometric cross calibration between the Landsat 8 Operational Land Imager (OLI) and Sentinel 2A Multispectral Instrument (MSI) sensors. The cross-calibration procedure involves (i) correction of the MSI data to account for spectral band differences with OLI and (ii) normalization of Bidirectional Reflectance Distribution Function (BRDF) effects in the data from both sensors using a new model accounting for the view zenith/azimuth angles in addition to the solar zenith/view angles. Following application of the spectral and BRDF normalization, standard least-squares linear regression is used to determine the cross-calibration gain and offset in each band. Uncertainties related to each step in the proposed process are determined, as is the overall uncertainty associated with the complete processing sequence. Validation of the proposed cross-calibration gains and offsets is performed on image data acquired over the Algodones Dunes site. The results of this work indicate that the blue band has the most significant offset, requiring use of the estimated cross-calibration offset in addition to the estimated gain. The highest difference was observed in the blue and red bands, which are 2.6% and 1.4%, respectively, while other bands shows no significant difference. Overall, the net uncertainty in the proposed process was estimated to be on the order of 6.76%, with the largest uncertainty component due to each sensor's calibration uncertainty on the order of 5% and 3% for the MSI and OLI, respectively. Other significant contributions to the uncertainty include seasonal changes in solar zenith and azimuth angles, target site nonuniformity, variability in atmospheric water vapor, and/or aerosol concentration.
英文关键词	Landsat 8 Sentinel 2A BRDF cross calibration
类型	Article
语种	英语
国家	USA
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000531559300061
WOS关键词	DESERT SITES ; UNCERTAINTY ; SBAF
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; 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/2XILL650/318890
作者单位	1.Adv Remote Sensing, Sioux Falls, SD 57107 USA; 2.South Dakota State Univ SDSU, Engn Off Res, Image Proc Lab, Brookings, SD 57007 USA; 3.South Dakota State Univ SDSU, Dept Elect Engn & Comp Sci, Brookings, SD 57007 USA
推荐引用方式 GB/T 7714	Farhad, M. M.,Kaewmanee, Morakot,Leigh, Larry,et al. Radiometric Cross Calibration and Validation Using 4 Angle BRDF Model between Landsat 8 and Sentinel 2A[J],2020,12(5).
APA	Farhad, M. M.,Kaewmanee, Morakot,Leigh, Larry,&Helder, Dennis.(2020).Radiometric Cross Calibration and Validation Using 4 Angle BRDF Model between Landsat 8 and Sentinel 2A.REMOTE SENSING,12(5).
MLA	Farhad, M. M.,et al."Radiometric Cross Calibration and Validation Using 4 Angle BRDF Model between Landsat 8 and Sentinel 2A".REMOTE SENSING 12.5(2020).