DocumentCode :
576609
Title :
An improved method for the retrieval of surface reflectance from EOS/MODIS data
Author :
Guang, Jie ; Xue, Yong ; Yang, Leiku ; Li, Yingjie
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
5053
Lastpage :
5056
Abstract :
Surface reflectance retrieval is an important step in the data processing chain for the extraction of quantitative information in many applications areas. The aim of this paper is to develop a new method for retrieving surface reflectance and aerosol optical depth simultaneously over both dark vegetated surfaces and bright land surfaces. After applying this new model to the Moderate Resolution Imaging Spectroradiometer (MODIS) data in the Heihe River Basin of China, aerosol optical depth and surface reflectance values of these regions are calculated. The retrieved surface reflectance from MODIS is consistent with measured reflectance from Analytical Spectral Device (ASD) Field Spec spectral radiometer, and the root mean square error (RMSE) are; Band 1 (0.66μm): 0.027; Band 3 (0.47μm): 0.015; Band 4 (0.55μm): 0.017. The R-squared (R2) value reveals a good agreement between MOD09 and retrieved surface reflectance at band 1. The RMSE of the reflectance value differences are quite small; Band 1: 0.031; Band 3: 0.026; Band 4: 0.029.
Keywords :
aerosols; atmospheric optics; atmospheric techniques; radiative transfer; radiometry; remote sensing; vegetation; ASD field spec spectral radiometer; China; EOS-MODIS data; Heihe river basin; Moderate Resolution Imaging Spectroradiometer; R-squared value; aerosol optical depth; analytical spectral device; bright land surfaces; dark vegetated surfaces; quantitative information extraction; radiative transfer; root mean square error; surface reflectance retrieval; surface reflectance values; Adaptive optics; Aerosols; Land surface; MODIS; Mathematical model; Reflectivity; Remote sensing; BRDF; MODIS; land; simultaneous; surface reflectance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352475
Filename :
6352475
Link To Document :
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