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....
Published in: | Remote Sensing |
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Main Authors: | , , , , , , , , , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2020
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Online Access: | https://hal.inrae.fr/hal-02951991 https://hal.inrae.fr/hal-02951991/document https://hal.inrae.fr/hal-02951991/file/2020_lee_remote_sensing.pdf https://doi.org/10.3390/rs12152500 |
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Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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English |
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Himawai-8/AHI BRDF modeling narrow-to-broadband conversion land surface albedo [SDV]Life Sciences [q-bio] |
spellingShingle |
Himawai-8/AHI BRDF modeling narrow-to-broadband conversion land surface albedo [SDV]Life Sciences [q-bio] Lee, Kyeong-Sang Chung, Sung-Rae Lee, Changsuk Seo, Minji Choi, Sungwon Seong, Noh-Hun Jin, Donghyun Kang, Minseok Yeom, Jong-Min Roujean, Jean-Louis Jung, Daeseong Sim, Suyoung Han, Kyung-Soo 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 [SDV]Life Sciences [q-bio] |
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 ... |
author2 |
Pukyong National University National Meteorological Satellite Center National Institute of Environmental Research South Korea (NIER) National Center for Agro-Meteorology Korea Aerospace Research Institute Daejeon (KARI) Centre d'études spatiales de la biosphère (CESBIO) Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Météo France-Centre National d'Études Spatiales Toulouse (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS) Korea Meteorological Administration Research and Development Program : KMI2018-05210 |
format |
Article in Journal/Newspaper |
author |
Lee, Kyeong-Sang Chung, Sung-Rae Lee, Changsuk Seo, Minji Choi, Sungwon Seong, Noh-Hun Jin, Donghyun Kang, Minseok Yeom, Jong-Min Roujean, Jean-Louis Jung, Daeseong Sim, Suyoung Han, Kyung-Soo |
author_facet |
Lee, Kyeong-Sang Chung, Sung-Rae Lee, Changsuk Seo, Minji Choi, Sungwon Seong, Noh-Hun Jin, Donghyun Kang, Minseok Yeom, Jong-Min Roujean, Jean-Louis Jung, Daeseong Sim, Suyoung Han, Kyung-Soo |
author_sort |
Lee, Kyeong-Sang |
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 |
HAL CCSD |
publishDate |
2020 |
url |
https://hal.inrae.fr/hal-02951991 https://hal.inrae.fr/hal-02951991/document https://hal.inrae.fr/hal-02951991/file/2020_lee_remote_sensing.pdf https://doi.org/10.3390/rs12152500 |
geographic |
New Zealand |
geographic_facet |
New Zealand |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
ISSN: 2072-4292 Remote Sensing https://hal.inrae.fr/hal-02951991 Remote Sensing, MDPI, 2020, 12 (15), pp.2500. ⟨10.3390/rs12152500⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs12152500 hal-02951991 https://hal.inrae.fr/hal-02951991 https://hal.inrae.fr/hal-02951991/document https://hal.inrae.fr/hal-02951991/file/2020_lee_remote_sensing.pdf doi:10.3390/rs12152500 WOS: 000567346200001 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3390/rs12152500 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
15 |
container_start_page |
2500 |
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1766019479205052416 |
spelling |
ftccsdartic:oai:HAL:hal-02951991v1 2023-05-15T13:06:45+02:00 Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument Lee, Kyeong-Sang Chung, Sung-Rae Lee, Changsuk Seo, Minji Choi, Sungwon Seong, Noh-Hun Jin, Donghyun Kang, Minseok Yeom, Jong-Min Roujean, Jean-Louis Jung, Daeseong Sim, Suyoung Han, Kyung-Soo Pukyong National University National Meteorological Satellite Center National Institute of Environmental Research South Korea (NIER) National Center for Agro-Meteorology Korea Aerospace Research Institute Daejeon (KARI) Centre d'études spatiales de la biosphère (CESBIO) Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Météo France-Centre National d'Études Spatiales Toulouse (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS) Korea Meteorological Administration Research and Development Program : KMI2018-05210 2020-08 https://hal.inrae.fr/hal-02951991 https://hal.inrae.fr/hal-02951991/document https://hal.inrae.fr/hal-02951991/file/2020_lee_remote_sensing.pdf https://doi.org/10.3390/rs12152500 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/rs12152500 hal-02951991 https://hal.inrae.fr/hal-02951991 https://hal.inrae.fr/hal-02951991/document https://hal.inrae.fr/hal-02951991/file/2020_lee_remote_sensing.pdf doi:10.3390/rs12152500 WOS: 000567346200001 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2072-4292 Remote Sensing https://hal.inrae.fr/hal-02951991 Remote Sensing, MDPI, 2020, 12 (15), pp.2500. ⟨10.3390/rs12152500⟩ Himawai-8/AHI BRDF modeling narrow-to-broadband conversion land surface albedo [SDV]Life Sciences [q-bio] info:eu-repo/semantics/article Journal articles 2020 ftccsdartic https://doi.org/10.3390/rs12152500 2021-11-07T00:43:57Z 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 ... Article in Journal/Newspaper Aerosol Robotic Network Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) New Zealand Remote Sensing 12 15 2500 |