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Characterization of Remote Sensing Albedo Over Sloped Surfaces Based on DART Simulations and In Situ Observations.

Authors :
Wu, Shengbiao
Wen, Jianguang
You, Dongqin
Hao, Dalei
Lin, Xingwen
Xiao, Qing
Liu, Qinhuo
Gastellu‐Etchegorry, Jean‐Philippe
Source :
Journal of Geophysical Research. Atmospheres; 8/27/2018, Vol. 123 Issue 16, p8599-8622, 24p
Publication Year :
2018

Abstract

Abstract: In situ albedo measurement over sloped surfaces is pivotal to a wide range of remote sensing applications, such as the estimation and evaluation of surface energy budget at regional and global scales. However, existing albedo measurements over rugged terrain are limited and controversial and remain a major challenge. In this paper, two commonly measured broadband albedos, which depend on incoming/outgoing geometric conditions, were characterized over sloped surfaces and illustrated. These albedos are the horizontal/horizontal sloped surface albedo (HHSA) and inclined/inclined sloped surface albedo (IISA). The 3‐D Discrete Anisotropic Radiative Transfer (DART) model simulations over varying slopes were utilized to quantify differences in the albedos. In particular, the effects of the slope, aspect, the solar zenith angle, and the proportion of diffuse skylight were investigated. The results show that absolute (relative) biases between HHSA and IISA are significant, reaching up to 0.026 (61.8%), 0.134 (62.4%), and 0.114 (62.3%) in the visible, near‐infrared, and shortwave broadbands, respectively. In addition, the diurnal cycle differences between HHSA and IISA were also compared using DART simulations and in situ observations over four typical slopes. Comparisons reveal that topographic parameters (e.g., slope and aspect) and atmospheric conditions (e.g., diffuse skylight and atmospheric visibility) are the primary factors, while the optical and structural parameters have a smaller effect. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2169897X
Volume :
123
Issue :
16
Database :
Complementary Index
Journal :
Journal of Geophysical Research. Atmospheres
Publication Type :
Academic Journal
Accession number :
131882111
Full Text :
https://doi.org/10.1029/2018JD028283