Development of a scheme for atmospheric correction of Resourcesat-2 AWiFS data |
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| Institution: | 1. Space Applications Centre, ISRO, Ahmedabad, India;2. Department of Physics, S. P. University, Vallabh Vidyanagar, India;3. N. V. Patel College of Pure and Applied Sciences, Vallabh Vidyanagar, India;1. Division of Virology, Indian Veterinary Research Institute, Mukteswar Campus, Uttarakhand 263 138, India;2. Division of Animal Health, ICAR Research Complex for N.E.H Region, Umiam, Meghalaya 193 103, India;3. Central Sheep and Wool Research Institute, Avikanagar, Rajasthan 304 501, India;1. Department of Analytical Chemistry, Faculty of Pharmaceutical Sciences, Toho University, 2-2-1 Miyama, Funabashi-shi, Chiba 274-8510, Japan;2. Optical Instrument Engineering Department, Hitachi High-Tech Science Corporation, 1040, Ichige, Hitachinaka-shi, Ibaraki-ken 312-0033, Japan;3. Medical Systems Development Center, Science & Medical System Design Division, Hitachi High-Technologies Corporation, 882, Ichige, Hitachinaka-shi, Ibaraki-ken 312-8504, Japan |
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| Abstract: | This paper presents a method called SACRS2, a scheme for atmospheric correction of RS2-AWiFS (Resourcesat2-Advanced Wide Field Sensor) data. The SACRS2 is a computationally fast scheme developed from a physics-based detailed radiative transfer model 6SV for correcting large amount of data from the high-repetivity AWiFS sensor. The method is based on deriving a set of equations with coefficients which depend on the spectral bands of the RS2-AWiFS sensor through forward signal simulations by 6SV. Semi-empirical formulations provided in the SMAC method with a few improvements have been used to describe various atmospheric interactions. A total of 112 coefficients for different equations are determined using the best fit equations against the computations of the 6SV. After the specific coefficients for the RS2-AWiFS spectral bands are determined, the major inputs of the scheme are raw digital numbers recorded by RS2-AWiFS sensor, atmospheric columnar water vapour content, ozone content, aerosol optical thickness at 550 nm and viewing-illumination conditions. Results showed a good performance of the SACRS2 with a maximum relative error in the SACRS2 simulations ranged between 1% for a reflectance of 0.5 and 8.6% for reflectance of 0.05 with respect to 6SV computations. Validation of retrieved surface reflectance using the SACRS2 scheme with respect to in-situ measurements at two sites indicated a capability of this scheme to determine the surface reflectance within 10%. This is a first of its kind scheme developed for the atmospheric correction of any Indian Remote Sensing satellite data. A package containing the SACRS2 software is available on the MOSDAC website for the researchers. |
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| Keywords: | Atmospheric correction AWiFS IRS Resourcesat SACRS2 Surface reflectance |
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