Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument
The Korea Meteorological Administration successfully launched Korea’s next-generation meteorological satellite, Geo-KOMPSAT-2A (GK-2A), on 5 December 2018. It belongs to the new generation of GEO (Geostationary Elevation Orbit) satellite which offers capabilities to disseminate high spatial- (0.5–2...
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ftmdpi:oai:mdpi.com:/2072-4292/12/15/2500/ 2023-08-20T03:59:12+02:00 Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument Kyeong-Sang Lee Sung-Rae Chung Changsuk Lee Minji Seo Sungwon Choi Noh-Hun Seong Donghyun Jin Minseok Kang Jong-Min Yeom Jean-Louis Roujean Daeseong Jung Suyoung Sim Kyung-Soo Han agris 2020-08-04 application/pdf https://doi.org/10.3390/rs12152500 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs12152500 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 15; Pages: 2500 Himawai-8/AHI BRDF modeling narrow-to-broadband conversion land surface albedo Text 2020 ftmdpi https://doi.org/10.3390/rs12152500 2023-07-31T23:52:53Z The Korea Meteorological Administration successfully launched Korea’s next-generation meteorological satellite, Geo-KOMPSAT-2A (GK-2A), on 5 December 2018. It belongs to the new generation of GEO (Geostationary Elevation Orbit) satellite which offers capabilities to disseminate high spatial- (0.5–2 km) and high temporal-resolution (10 min) observations over a broad area, herein a geographic disk encompassing the Asia–Oceania region. The targeted objective is to enhance our understanding of climate change, owing to a bulk of coherent observations. For such, we developed an algorithm to map the land surface albedo (LSA), which is a major Essential Climate Variable (ECV). The retrieval algorithm devoted to GK-2A/Advanced Meteorological Imager (AMI) data considered Japan’s Himawari-8/Advanced Himawari Imager (AHI) data for prototyping, as this latter owns similar specifications to AMI. Our proposed algorithm is decomposed in three major steps: atmospheric correction, bidirectional reflectance distribution function (BRDF) modeling and angular integration, and narrow-to-broadband conversion. To perform BRDF modeling, the optimization method using normalized reflectance was applied, which improved the quality of BRDF modeling results, particularly when the number of observations was less than 15. A quality assessment was performed to compare our results to those of Moderate Resolution Imaging Spectroradiometer (MODIS) LSA products and ground measurement from Aerosol Robotic Network (AERONET) sites, Australian and New Zealand flux tower network (OzFlux) site and the Korea Flux Network (KoFlux) site from throughout 2017. Our results show dependable spatial and temporal consistency with MODIS broadband LSA data, and rapid changes in LSA due to snowfall and snow melting were well expressed in the temporal profile of our results. Our outcomes also show good agreement with the ground measurements from AERONET, OzFlux and KoFlux ground-based network with root mean square errors (RMSE) of 0.0223 and 0.0306, respectively, which ... Text Aerosol Robotic Network MDPI Open Access Publishing New Zealand Remote Sensing 12 15 2500 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
Himawai-8/AHI BRDF modeling narrow-to-broadband conversion land surface albedo |
spellingShingle |
Himawai-8/AHI BRDF modeling narrow-to-broadband conversion land surface albedo Kyeong-Sang Lee Sung-Rae Chung Changsuk Lee Minji Seo Sungwon Choi Noh-Hun Seong Donghyun Jin Minseok Kang Jong-Min Yeom Jean-Louis Roujean Daeseong Jung Suyoung Sim Kyung-Soo Han Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument |
topic_facet |
Himawai-8/AHI BRDF modeling narrow-to-broadband conversion land surface albedo |
description |
The Korea Meteorological Administration successfully launched Korea’s next-generation meteorological satellite, Geo-KOMPSAT-2A (GK-2A), on 5 December 2018. It belongs to the new generation of GEO (Geostationary Elevation Orbit) satellite which offers capabilities to disseminate high spatial- (0.5–2 km) and high temporal-resolution (10 min) observations over a broad area, herein a geographic disk encompassing the Asia–Oceania region. The targeted objective is to enhance our understanding of climate change, owing to a bulk of coherent observations. For such, we developed an algorithm to map the land surface albedo (LSA), which is a major Essential Climate Variable (ECV). The retrieval algorithm devoted to GK-2A/Advanced Meteorological Imager (AMI) data considered Japan’s Himawari-8/Advanced Himawari Imager (AHI) data for prototyping, as this latter owns similar specifications to AMI. Our proposed algorithm is decomposed in three major steps: atmospheric correction, bidirectional reflectance distribution function (BRDF) modeling and angular integration, and narrow-to-broadband conversion. To perform BRDF modeling, the optimization method using normalized reflectance was applied, which improved the quality of BRDF modeling results, particularly when the number of observations was less than 15. A quality assessment was performed to compare our results to those of Moderate Resolution Imaging Spectroradiometer (MODIS) LSA products and ground measurement from Aerosol Robotic Network (AERONET) sites, Australian and New Zealand flux tower network (OzFlux) site and the Korea Flux Network (KoFlux) site from throughout 2017. Our results show dependable spatial and temporal consistency with MODIS broadband LSA data, and rapid changes in LSA due to snowfall and snow melting were well expressed in the temporal profile of our results. Our outcomes also show good agreement with the ground measurements from AERONET, OzFlux and KoFlux ground-based network with root mean square errors (RMSE) of 0.0223 and 0.0306, respectively, which ... |
format |
Text |
author |
Kyeong-Sang Lee Sung-Rae Chung Changsuk Lee Minji Seo Sungwon Choi Noh-Hun Seong Donghyun Jin Minseok Kang Jong-Min Yeom Jean-Louis Roujean Daeseong Jung Suyoung Sim Kyung-Soo Han |
author_facet |
Kyeong-Sang Lee Sung-Rae Chung Changsuk Lee Minji Seo Sungwon Choi Noh-Hun Seong Donghyun Jin Minseok Kang Jong-Min Yeom Jean-Louis Roujean Daeseong Jung Suyoung Sim Kyung-Soo Han |
author_sort |
Kyeong-Sang Lee |
title |
Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument |
title_short |
Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument |
title_full |
Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument |
title_fullStr |
Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument |
title_full_unstemmed |
Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument |
title_sort |
development of land surface albedo algorithm for the gk-2a/ami instrument |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12152500 |
op_coverage |
agris |
geographic |
New Zealand |
geographic_facet |
New Zealand |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Remote Sensing; Volume 12; Issue 15; Pages: 2500 |
op_relation |
https://dx.doi.org/10.3390/rs12152500 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs12152500 |
container_title |
Remote Sensing |
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12 |
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15 |
container_start_page |
2500 |
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