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Proceedings Paper

Retrieval of surface reflectance from Resourcesat-2 AWiFS, LISS-3, and LISS-4 data using SACRS2 scheme
Author(s): Vishal N. Pathak; M. R. Pandya; D. B. Shah; H. J. Trivedi; K. D. Patel; Raghavendra P. Singh
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Paper Abstract

Satellite based multispectral imagery contains various quantitative information related to surface and atmosphere. To extract the accurate information about surface, we need to correct atmospheric influence which is introduced by the atmosphere. Atmospheric correction of multispectral satellite imagery is an important prerequisite to derive geophysical parameters from satellite data. In this study surface reflectance is retrieved using the Scheme for Atmospheric Correction of Resourcesat-2 (SACRS2). The SACRS2 is physics based atmospheric correction scheme developed at Space Applications Centre (SAC), ISRO based on radiative transfer model 6SV (The Second Simulation of the Satellite Signal in the Solar Spectrum vector version). SACRS2 method is easily applicable for atmospheric correction of multispectral data. A detail analysis has been carried out to retrieve surface reflectance from Resourcesat-2 AWiFS, LISS-3 and LISS-4 data using SACRS2 method. The retrieved surface reflectance from SACRS2 for AWiFS, LISS-3 and LISS-4 have been compared with in-situ measurements. The comparison showed a good match of reflectance derived by SACRS2 scheme with the in-situ measurements.

Paper Details

Date Published: 30 April 2016
PDF: 7 pages
Proc. SPIE 9880, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI, 988020 (30 April 2016); doi: 10.1117/12.2223649
Show Author Affiliations
Vishal N. Pathak, Sardar Patel Univ. (India)
M. R. Pandya, Space Applications Ctr. (India)
D. B. Shah, Sir P. T. Sarvajanik College of Science (India)
H. J. Trivedi, Natubhai V. Patel College of Pure and Applied Sciences (India)
K. D. Patel, Sardar Patel Univ. (India)
Raghavendra P. Singh, Space Applications Ctr. (India)
Indian Space Research Organization (India)


Published in SPIE Proceedings Vol. 9880:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI
Allen M. Larar; Prakash Chauhan; Makoto Suzuki; Jianyu Wang, Editor(s)

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