Retrieval and Uncertainty Analysis of Land Surface Reflectance Using a Geostationary Ocean Color Imager

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 2; p. 360
• Main Authors: Lee, Kyeong-Sang, Lee, Eunkyung, Jin, Donghyun, Seong, Noh-Hun, Jung, Daeseong, Sim, Suyoung, Han, Kyung-Soo
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2022
• Subjects: Accuracy; Aerosols; Algorithms; Atmosphere; Atmospheric correction; Color; Correlation coefficient; Correlation coefficients; Feasibility studies; geostationary ocean color imager; Image processing; land surface reflectance; Landsat satellites; Meteorological satellites; MODIS; Ocean color; Radiation; Reflectance; Remote sensing; Seasonal variations; Spatial discrimination; Spatial distribution; Spatial resolution; Spectroradiometers; Surface properties; Uncertainty analysis; Vegetation; Vegetation cover; Zenith; Northeast Asia; Korean Peninsula
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs14020360

Land surface reflectance (LSR) is well known as an essential variable to understand land surface properties. The Geostationary Ocean Color Imager (GOCI) be able to observe not only the ocean but also the land with the high temporal and spatial resolution thanks to its channel specification. In this study, we describe the land atmospheric correction algorithm and present the quality of results through comparison with Moderate Resolution Imaging Spectroradiometer (MODIS) and in-situ data for GOCI-II. The GOCI LSR shows similar spatial distribution and quantity with MODIS LSR for both healthy and unhealthy vegetation cover. Our results agreed well with in-situ-based reference LSR with a high correlation coefficient (>0.9) and low root mean square error (<0.02) in all 8 GOCI channels. In addition, seasonal variation according to the solar zenith angle and phenological dynamics in time-series was well presented in both reference and GOCI LSR. As the results of uncertainty analysis, the estimated uncertainty in GOCI LSR shows a reasonable range (<0.04) even under a high solar zenith angle over 70°. The proposed method in this study can be applied to GOCI-II and can provide continuous satellite-based LSR products having a high temporal and spatial resolution for analyzing land surface properties.