DOI: 10.1002/2013JD020417
论文题名: Direct estimation of land surface albedo from VIIRS data: Algorithm improvement and preliminary validation
作者: Wang D. ; Liang S. ; He T. ; Yu Y.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 22 起始页码: 12577
结束页码: 12586
语种: 英语
英文关键词: albedo
; direct estimation
; MODIS
; VIIRS
Scopus关键词: Algorithms
; Distribution functions
; Estimation
; Infrared imaging
; Mean square error
; Pixels
; Radiative transfer
; Reflection
; Satellite imagery
; Solar radiation
; Table lookup
; albedo
; Atmospheric radiative transfer
; Atmospheric radiative transfer models
; Bidirectional reflectance distribution functions
; Moderate resolution imaging spectroradiometer
; MODIS
; VIIRS
; Visible infrared imaging radiometer suites
; Radiometers
; albedo
; algorithm
; bidirectional reflectance
; data set
; energy flux
; error analysis
; estimation method
; MODIS
; pixel
; satellite data
; shortwave radiation
; top of atmosphere
英文摘要: Land surface albedo (LSA), part of the Visible Infrared Imaging Radiometer Suite (VIIRS) surface albedo environmental data record (EDR), is an essential variable regulating shortwave energy exchange between the land surface and the atmosphere. Two sub-algorithms, the dark pixel sub-algorithm (DPSA) and the bright pixel sub-algorithm (BPSA), were proposed for retrieving LSA from VIIRS data. The BPSA estimates LSA directly from VIIRS top-of-atmosphere (TOA) reflectance through simulation of atmospheric radiative transfer. Several changes have been made to improve the BPSA since the deployment of VIIRS. A database of the Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF) is collected and converted to bidirectional reflectance at VIIRS bands. The converted reflectance is then used as input to the atmospheric radiative transfer model to generate a look-up table (LUT) of regression coefficients with consideration of surface BRDF. Before its implementation in the operational system, the new BPSA is tested on the local infrastructure. The incorporation of the surface BRDF improves the accuracy of LSA estimation and reduces the temporal variation of LSA over stable surfaces. VIIRS LSA retrievals agree well with the MODIS albedo products. Comparison with field measurements at seven Surface Radiation (SURFRAD) Network sites shows that VIIRS LSA retrieved from the LUT with surface BRDF has an R2 value of 0.80 and root mean square error of 0.049, better than MODIS albedo products. The VIIRS results have a slight negative bias of 0.004, whereas the MODIS albedo is underestimated with a larger negative bias of 0.026. Key Points It presents recent progress on refining VIIRS Bright Pixel Sub-Algorithm It is the first study to evaluate VIIRS land surface albedo data Results from the improved BPSA are better than previous satellite products ©2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63142
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Department of Geographical Sciences, University of Maryland, 2181 LeFrak Hall, College Park, MD 20742, United States; NOAA/NESDIS/STAR, Camp Springs, MD, United States
Recommended Citation:
Wang D.,Liang S.,He T.,et al. Direct estimation of land surface albedo from VIIRS data: Algorithm improvement and preliminary validation[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(22)