고속의 구름 이동을 고려한 GOCI 해색영상에서의 구름영향 픽셀 인지

Title
고속의 구름 이동을 고려한 GOCI 해색영상에서의 구름영향 픽셀 인지
Alternative Title
CLOUD-AFFECTED PIXEL IDENTIFICATION ON COMS/GOCI OCEAN COLOR IMAGERY IN CONSIDERATION TO FAST-MOVING CLOUD FRAGMENTS
Author(s)
안재현; 김원국; 박영제
KIOST Author(s)
Ahn, Jae Hyun(안재현)Park, Young Je(박영제)
Publication Year
2015-04-23
Abstract
The study aims to establish a set of pixel-wise tests to identify those cloud-affected pixels in the GOCI Level-2 data generation process, in view of producing high-quality Level-2/Level-3 data. To this end, we propose a set of pixel-wise spectral consistency tests over satellite reflectances 1) in three visible bands, 2) in 660 and 680 nm bands, and 3) in 745 and 865 nm bands. The performance of the proposed test set is evaluated in terms of near-cloud statistical behavior on chlorophyll a (chl-a) imagery, by comparing statistics in “very near-cloud pixels” and “next near-cloud pixels”. The test set results in statistically more stable near-cloud field in the sense that the average (std. dev.) of very near-cloud chl-a records closer value, typically within 5% (10%) range, to the next near-cloud chl-a field.pixel-wise spectral consistency tests over satellite reflectances 1) in three visible bands, 2) in 660 and 680 nm bands, and 3) in 745 and 865 nm bands. The performance of the proposed test set is evaluated in terms of near-cloud statistical behavior on chlorophyll a (chl-a) imagery, by comparing statistics in “very near-cloud pixels” and “next near-cloud pixels”. The test set results in statistically more stable near-cloud field in the sense that the average (std. dev.) of very near-cloud chl-a records closer value, typically within 5% (10%) range, to the next near-cloud chl-a field.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/25614
Bibliographic Citation
International Symposium on Remote Sensing, pp.1, 2015
Publisher
ISRS
Type
Conference
Language
English
Publisher
ISRS
Related Researcher
Research Interests

Ocean Color Remote Sensing,Satellite Applications,Ocean color Algorithm,해양원격탐사,위성활용,해색 알고리즘

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