CALIBRATION OF THE SSOT MISSION USING A VICARIOUS APPROACH BASED ON OBSERVATIONS OVER THE ATACAMA DESERT AND THE GOBABEB RADCALNET STATION

C. Barrientos, J. Estay, E. Barra, and D. Muñoz

Keywords: SSOT, Absolute Radiometric Calibration, RadCalNet, Gobabeb, Atacama Desert, Reflectance

Abstract

This work presents the results of the absolute radiometric calibration of the sensor on-board the “Sistema Satelital de Observación de la Tierra” (SSOT) using the vicarious approach based on in-situ measurements of surface reflectance and atmospheric retrievals. The SSOT mission, also known as FASat-Charlie, has been successfully operating for almost nine years ‒at the time of writing‒, exceeding its five-year nominal design life and providing multispectral and panchromatic imagery for different applications. The data acquired by SSOT has been used for emergency and disaster management and monitoring, cadastral mapping, urban planning, defense purposes, among other uses. In this paper, some results of the efforts conducting to the exploitation of the SSOT imagery for remote sensing quantitative applications are detailed. The results of the assessment of the radiometric calibration of the satellite sensor, performed in the Atacama Desert, Chile, using the data acquired and made available by the Gobabeb Station of Radiometric Calibration Network (RadCalNet), Namibia, are presented. Additionally, we describe the process for obtaining the absolute gains for the multispectral and panchromatic bands of the SSOT sensor by adapting the reflectance−based approach (Thome et al., 2001). The outputs achieved from the Atacama data collection have generated consistent results and average differences in the order of 3% with respect to the RadCalNet TOA reflectances. The presented results are an example of the benefits of having access to the RadCalNet data and how it increases the opportunity of conducting Cal/Val activities using endorsed calibration sites.

Más información

Título de la Revista: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volumen: V-1-2020
Fecha de publicación: 2020
Página de inicio: 133
Página final: 140
Idioma: Ingles
URL: https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-1-2020/133/2020/
DOI:

doi.org/10.5194/isprs-annals-V-1-2020-133-2020