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タイトル: Review: Monitoring of land cover changes and plant phenology by remote‐sensing in East Asia
著者: Shin, Nagai
Saitoh, M., Taku
Takeuchi, Yayoi
Miura, Tomoaki
Aiba, Masahiro
Kurokawa, Hiroko  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-8778-8045 (unconfirmed)
Onoda, Yusuke  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-6245-2342 (unconfirmed)
Ichii, Kazuhito
Nasahara, Nishida, Kenlo
Suzuki, Rikie
Nakashizuka, Tohru
Muraoka, Hiroyuki
著者名の別形: 小野田, 雄介
キーワード: Asia
case studies
mapping
satellite images
uncertainty
発行日: Jan-2023
出版者: Wiley
誌名: Ecological Research
巻: 38
号: 1
開始ページ: 111
終了ページ: 133
抄録: To achieve a sustainable society and solve the problems caused by climate change and socioeconomic activities, it is necessary to monitor the spatial and temporal variability of ecosystem functions, services, and biodiversity at both regional and global scales. During the last decade, we have seen rapid and significant improvement in satellite and near-surface remote-sensing technologies. In this review, we describe how remote-sensing observations are being used to effectively evaluate the spatial and temporal variability of land use and cover types and of plant phenology in East Asia. We discuss the current status, uncertainties, problems, and future perspectives for terrestrial ecosystem and biodiversity monitoring, and we address the multidisciplinary research by incorporating in situ and satellite observations for East Asia. Recent satellites with advanced optical sensors, such as MultiSpectral Instrument/Sentinel-2A/2B, Advanced Himawari Imager/Himawari-8, and PlanetScope, and satellites with synthetic aperture radar, such as Advanced Land Observing Satellite-2, allow detailed monitoring of land use and cover type changes and plant phenology. These satellite sensors can provide images with high spatial (3–10 m) and high temporal (10 min to 5 days) resolution, at both large (≥1 km²) and small (<1 km²) scales. In particular, researchers are expected to develop discrimination techniques that will enable these advanced satellite technologies to detect evergreen broadleaf trees and ways to estimate the geographic distribution of leaf traits. We encourage more collaborations among ecologists, engineers, and remote-sensing scientists to share their abundant knowledge and experience and thereby improve the monitoring capabilities.
著作権等: © 2022 The Authors. Ecological Research published by John Wiley & Sons Australia, Ltd on behalf of The Ecological Society of Japan.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
URI: http://hdl.handle.net/2433/292990
DOI(出版社版): 10.1111/1440-1703.12371
関連リンク: https://onlinelibrary.wiley.com/doi/pdf/10.1111/1440-1703.12371
https://onlinelibrary.wiley.com/doi/full-xml/10.1111/1440-1703.12371
出現コレクション:学術雑誌掲載論文等

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