日本地球惑星科学連合2023年大会

講演情報

[E] 口頭発表

セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG37] 衛星による地球環境観測

2023年5月26日(金) 15:30 〜 16:30 104 (幕張メッセ国際会議場)

コンビーナ:沖 理子(宇宙航空研究開発機構)、本多 嘉明(千葉大学環境リモートセンシング研究センター)、高薮 縁(東京大学 大気海洋研究所)、松永 恒雄(国立環境研究所地球環境研究センター/衛星観測センター)、座長:村上 浩(宇宙航空研究開発機構地球観測研究センター)、本多 嘉明(千葉大学環境リモートセンシング研究センター)

15:30 〜 15:45

[ACG37-18] Monitoring the Tropical Vegetation Using TRMM and GPM

*笹川 大河1奈佐原 顕郎2 (1.筑波大学 理工情報生命学術院、2.筑波大学 生命環境系)


キーワード:植生、降水レーダー、TRMM、GPM

The Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement (GPM) are the precipitation measurement missions primarily led by the Japan Aerospace Exploration Agency (JAXA) and the National Aeronautics and Space Administration (NASA). The core satellites of these two missions are equipped with active precipitation radar. These satellites have successfully provided extensive and detailed information on precipitation, such as the Global Satellite Mapping of Precipitation (GSMAP), in cooperation with other satellites. As such, TRMM and GPM must be recognized as successful precipitation monitoring missions. However, there is a large amount of TRMM and GPM data that do not observe precipitation, but only the land surface, and these data are not often used for land surface monitoring. Therefore, in this study, we aimed to evaluate the availability of radar data observed by TRMM and GPM for monitoring global land ecosystems, especially vegetation. We used TRMM data from 1997 to 2014 and GPM data from 2015 to 2022. We generated the vegetation cover map for each year, focusing on the deflections of the normalized radar cross section at different angles of incidence. Our results showed different tendency of vegetation change in comparion with optical sensor data. In the future, we will continue to study vegetation monitoring with TRMM and GPM radar data and compare it with the analysis results of optical sensor data. This research suggests the capabilities of TRMM and GPM data for vegetation monitoring, especially over tropical regions where satellite remote sensing with the optical sensor is difficult due to cloud cover.