Geometric accuracy analysis of the Geostationary Ocean Color Imager (GOCI) Level 1B (L1B) product SCIE SCOPUS

Cited 8 time in WEB OF SCIENCE Cited 8 time in Scopus
Title
Geometric accuracy analysis of the Geostationary Ocean Color Imager (GOCI) Level 1B (L1B) product
Author(s)
Jeong, Jaehoon; Han, Heejeong; Park, Youngje
KIOST Author(s)
Han, Hee Jeong(한희정)
Alternative Author(s)
한희정; 박영제
Publication Year
2020-03
Abstract
The Geostationary Ocean Color Imager (GOCI) has been used for many remote sensing applications to observe and monitor the ocean color of East Asia around the Korean Peninsula. However, to date, its geometric accuracy has not been thoroughly investigated; the only studies conducted so far have focused on verifying its radiometric quality. This study investigates the geometric accuracy of the Level 1B (L1B) product created from the GOCI geometric correction. The paper contains a brief description of the geometric correction process and an analysis of the positioning accuracy of GOCI L1B. Independent check points to assess accuracy were extracted from L1B and compared to their corresponding features in Google Maps, whose positioning accuracy has been thoroughly verified. Our analysis showed that, on average, the positioning accuracy of the GOCI L1B is similar to 500-600 m, although there are differences in accuracy throughout the coverage area. It was confirmed that the GOCI L1B's overall accuracy fully meets geometrical image quality requirements (about 1 km). No specific bias pattern was identified, and there was little difference in accuracy throughout the acquisition time. The accuracy of the GOCI when landmark determination failed, e.g. due to a cloud, was further analyzed, and analysis showed that geometric quality was maintained even in the case of failure, although a slightly higher number of errors was observed. The experimental results support the hypothesis that the GOCI's geometric correction works well and provides sufficiently accurate positional information on ocean properties to be used for remote sensing applications. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
ISSN
1094-4087
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/38711
DOI
10.1364/OE.370717
Bibliographic Citation
OPTICS EXPRESS, v.28, no.5, pp.7634 - 7653, 2020
Publisher
OPTICAL SOC AMER
Type
Article
Language
English
Document Type
Article
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