A satellite-based Standardized Antecedent Precipitation Index (SAPI) for mapping extreme rainfall risk in Myanmar

被引：6
|
作者：
Thong Nguyen-Huy [1 ,2 ,3 ]
Kath, Jarrod [2 ,4 ]
Nagler, Thomas [5 ]
Khaung, Ye [6 ]
Aung, Thee Su Su [6 ,7 ]
Mushtaq, Shahbaz [2 ]
Marcussen, Torben [2 ]
Stone, Roger [2 ]
机构：
[1] Univ Southern Queensland, SQNNSW Drought Resilience Adopt & Innovat Hub, Toowoomba, Qld, Australia
[2] Univ Southern Queensland, Ctr Appl Climate Sci, Toowoomba, Qld, Australia
[3] Vietnam Natl Space Ctr, Ho Chi Minh City Space Technol Applicat Ctr, VAST, Ho Chi Minh, Vietnam
[4] Univ Southern Queensland, Sch Agr & Environm Sci, Fac Hlth Engn & Sci, Toowoomba, Qld, Australia
[5] Delft Univ Technol, Delft Inst Appl Math, Delft, Netherlands
[6] Int Inst Rural Reconstruct, Yangon, Myanmar
[7] Italian Agcy Dev Cooperat AICS, Yangon, Myanmar
来源：
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT | 2022年 / 26卷
关键词：
Flood monitoring; Risk management; Multivariate modelling; Vine copulas; Climate characteristics; Joint distribution; Tail dependences; Satellite-based precipitation; FLOOD FREQUENCY-ANALYSIS; RETURN PERIOD; RIVER-BASIN; CHIRPS; DESIGN; MODEL;
D O I：
10.1016/j.rsase.2022.100733
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
https://clarivate.hrberry.com/ regions, continents and globally) and in different hydrological design events and for risk assessments (e.g., insurance).
引用
收藏
页数：19
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