An assessment of thin cloud detection by applying bidirectional reflectance distribution function model-based background surface reflectance using Geostationary Ocean Color Imager (GOCI): A case study for South Korea-Reference-Cited by-同舟云学术

An assessment of thin cloud detection by applying bidirectional reflectance distribution function model-based background surface reflectance using Geostationary Ocean Color Imager (GOCI): A case study for South Korea

Published:2017-08-10 Issue:15 Volume:122 Page:8153-8172
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Kim Hye-Won¹^ORCID,Yeom Jong-Min¹^ORCID,Shin Daegeun²,Choi Sungwon³^ORCID,Han Kyung-Soo³^ORCID,Roujean Jean-Louis⁴

Affiliation:

1. Korea Aerospace Research Institute; Daejeon South Korea

2. Department of Atmospheric Science; Pusan National University; Busan South Korea

3. Department of Spatial Information Engineering; Pukyong National University; Busan South Korea

4. Meteo-France; Toulouse France

Funder

Ministry of Oceans and Fisheries

Electronics and Telecommunications Research Institute

Korea Aerospace Research Institute

National Meteorological Satellite Center (NMSC)

Ministry of Oceans and Fisheries, Korea

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2017JD026707/fullpdf

Reference50 articles.

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3. An automated, dynamic threshold cloud-masking algorithm for daytime AVHRR images over land;Di Vittorio;IEEE Trans. Geosci. Remote Sens.,2002

4. Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality;Engel-Cox;Atmos. Environ.,2004

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