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isprs-annals-V-3-2021-227-2021.pdf | 1.32 MB | Adobe PDF | 見る/開く |
タイトル: | Estimation of Land Surface Albedo from GCOM-C/SGLI Surface Reflectance |
著者: | Susaki, Junichi https://orcid.org/0000-0003-2648-1298 (unconfirmed) Sato, Hiroaki Kuriki, Amane Kajiwara, Koji Honda, Yoshiaki |
著者名の別形: | 須崎, 純一 佐藤, 啓明 栗木, 周 梶原, 康司 本多, 嘉明 |
キーワード: | Land surface albedo GCOM-C/SGLI BRDF model Multi-regression model |
発行日: | 2021 |
出版者: | Copernicus GmbH |
誌名: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
巻: | V-3-2021 |
開始ページ: | 227 |
終了ページ: | 234 |
抄録: | This paper examines algorithms for estimating terrestrial albedo from the products of the Global Change Observation Mission – Climate (GCOM-C)/Second-generation Global Imager (SGLI), which was launched in December 2017 by the Japan Aerospace Exploration Agency. We selected two algorithms: one based on a bidirectional reflectance distribution function (BRDF) model and one based on multi-regression models. The former determines kernel-driven BRDF model parameters from multiple sets of reflectance and estimates the land surface albedo from those parameters. The latter estimates the land surface albedo from a single set of reflectance with multi-regression models. The multi-regression models are derived for an arbitrary geometry from datasets of simulated albedo and multi-angular reflectance. In experiments using in situ multi-temporal data for barren land, deciduous broadleaf forests, and paddy fields, the albedos estimated by the BRDF-based and multi-regression-based algorithms achieve reasonable root-mean-square errors. However, the latter algorithm requires information about the land cover of the pixel of interest, and the variance of its estimated albedo is sensitive to the observation geometry. We therefore conclude that the BRDF-based algorithm is more robust and can be applied to SGLI operational albedo products for various applications, including climate-change research. |
記述: | XXIV ISPRS Congress “Imaging today, foreseeing tomorrow, ” Commission III 2021 edition, 5–9 July 2021 |
著作権等: | © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. |
URI: | http://hdl.handle.net/2433/277790 |
DOI(出版社版): | 10.5194/isprs-annals-v-3-2021-227-2021 |
出現コレクション: | 学術雑誌掲載論文等 |
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