Volume XLII-5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 671-674, 2018
https://doi.org/10.5194/isprs-archives-XLII-5-671-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 671-674, 2018
https://doi.org/10.5194/isprs-archives-XLII-5-671-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  19 Nov 2018

19 Nov 2018

DEVELOPMENT OF SCHEME FOR THE ATMOSPHERIC CORRECTION OF LANDSAT-8 OLI DATA

V. N. Pathak1, M. R. Pandya2, D. B. Shah3, and H. J. Trivedi1 V. N. Pathak et al.
  • 1N.V. Patel College of Pure & Applied Sciences, Vallabh Vidyanagar-388120, India
  • 2Space Applications Centre (SAC), ISRO, Ahmedabad-380015, India
  • 3Sir P.T. Sarvajanik College of Science, Surat, Gujarat 395007, India

Keywords: Atmospheric Correction, Landsat-8, Surface reflectance, Aerosol, Water vapor, Ozone

Abstract. In the present study, a physics based method called Scheme for Atmospheric Correction of Landsat-8 (SACLS8) is developed for the Operational Land Imager (OLI) sensor of Landsat-8. The Second Simulation of the Satellite Signal in the Solar Spectrum Vector (6SV) radiative transfer model is used in the simulations to obtain the surface reflectance. The surface reflectance derived using the SACL8 scheme is validated with the in-situ measurements of surface reflectance carried out at the homogeneous desert site located in the Little Rann of Kutch, Gujarat, India. The results are also compared with Landsat-8 surface reflectance standard data product over the same site. The good agreement of results with high coefficient of determination (R2 > 0.94) and low root mean square error (of the order of 0.03) with in-situ measurement values as well as those obtained from the Landsat-8 surface reflectance data establishes a good performance of the SACLS8 scheme for the atmospheric correction of Landsat-8 dataset.