Paper Info
Title
A Method for Retrieving Daily Land Surface Albedo from Space at 30-m Resolution
Abstract
Land surface albedo data with high spatio-temporal resolution are increasingly important for scientific studies addressing spatially and/or temporally small-scale phenomena, such as urban heat islands and urban land surface energy balance. Our previous study derived albedo data with 2-4-day and 30-m temporal and spatial resolution that have better spatio-temporal resolution than existing albedo data, but do not completely satisfy the requirements for monitoring high-frequency land surface changes at the small scale. Downscaling technology provides a chance to further improve the albedo data spatio-temporal resolution and accuracy. This paper introduces a method that combines downscaling technology for land surface reflectance with an empirical method of deriving land surface albedo. Firstly, downscaling daily MODIS land surface reflectance data (MOD09GA) from 500 m to 30 m on the basis of HJ-1A/B BRDF data with 2-4-day and 30-m temporal and spatial resolution is performed: this is the key step in the improved method. Subsequently, the daily 30-m land surface albedo data are derived by an empirical method combining prior knowledge of the MODIS BRDF product and the downscaled daily 30-m reflectance. Validation of albedo data obtained using the proposed method shows that the new method has both improved spatio-temporal resolution and good accuracy (a total absolute accuracy of 0.022 and a total root mean squared error at six sites of 0.028).
Year
DOI
Venue
2015
10.3390/rs70810951
REMOTE SENSING
Keywords
Field
DocType
downscaling,albedo
Meteorology,Urban heat island,Bidirectional reflectance distribution function,Downscaling,Absolute accuracy,Remote sensing,Albedo,Mean squared error,Geology,Reflectivity,Image resolution
Journal
Volume
Issue
ISSN
7
8
2072-4292
Citations 
PageRank 
References 
1
0.38
13
Authors
3
Name
Order
Citations
PageRank
Bo Gao182.24
Huili Gong28829.37
Tianxing Wang32014.16