Toward More Integrated Utilizations of Geostationary Satellite Data for Disaster Management and Risk Mitigation

被引：21

作者：

Higuchi, Atsushi ^{[1
]}

机构：

[1] Chiba Univ, Ctr Environm Remote Sensing CEReS, Inage Ku, 1-33 Yayoi, Chiba 2638522, Japan

来源：

REMOTE SENSING | 2021年 / 13卷 / 08期

基金：

日本学术振兴会;

关键词：

third-generation geostationary meteorological satellites (GEOs); baseline dataset; disaster management; LAND-SURFACE-TEMPERATURE; ASSIMILATING ALL-SKY; AEROSOL RETRIEVAL ALGORITHM; ADVANCED HIMAWARI IMAGER; SPLIT-WINDOW ALGORITHM; INFRARED RADIANCES; CLOUD DETECTION; OPTICAL DEPTH; MICROPHYSICAL PROPERTIES; DROPLET GROWTH;

D O I：

10.3390/rs13081553

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Third-generation geostationary meteorological satellites (GEOs), such as Himawari-8/9 Advanced Himawari Imager (AHI), Geostationary Operational Environmental Satellites (GOES)-R Series Advanced Baseline Imager (ABI), and Meteosat Third Generation (MTG) Flexible Combined Imager (FCI), provide advanced imagery and atmospheric measurements of the Earth's weather, oceans, and terrestrial environments at high-frequency intervals. Third-generation GEOs also significantly improve capabilities by increasing the number of observation bands suitable for environmental change detection. This review focuses on the significantly enhanced contribution of third-generation GEOs for disaster monitoring and risk mitigation, focusing on atmospheric and terrestrial environment monitoring. In addition, to demonstrate the collaboration between GEOs and Low Earth orbit satellites (LEOs) as supporting information for fine-spatial-resolution observations required in the event of a disaster, the landfall of Typhoon No. 19 Hagibis in 2019, which caused tremendous damage to Japan, is used as a case study.

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