Monitoring Droughts in the Vu Gia-Thu Bon River Basin Using the Cloud-Based Google Earth Engine

被引：2
|
作者：
Van An, Nguyen [1 ]
Tuong, Nguyen Thanh [1 ]
Hanh, Le Ngoc [1 ]
An, Tran Thi [2 ]
机构：
[1] Univ Da Nang, Univ Sci & Educ, Fac Geog, Da Nang, Vietnam
[2] Thu Dau Mot Univ, Fac Management Sci, Thu Dau Mot, Binh Duong, Vietnam
来源：
NATIONAL CONFERENCE ON GIS APPLICATION 2022: GIS AND REMOTE SENSING APPLICATIONS FOR ENVIRONMENT AND RESOURCE MANAGEMENT | 2023年 / 1170卷
关键词：
INDEX;
D O I：
10.1088/1755-1315/1170/1/012005
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
This study implemented an index-based approach to monitor drought in the Vu Gia - Thu Bon river basin using remote sensing data and Google Earth Engine (GEE) cloud computing services. Landsat's time-series remote sensing data are effectively used to calculate various drought indices. In this investigation, we evaluated the performance of various remote sensing-based drought indices (RSDI) utilizing the cloud-based Google Earth Engine (GEE) computing platform. Results indicated that there was a significant correlation between RSDI and the in-situ Potential Evapotranspiration (PET) and the soil temperature. The empirical results of this study demonstrated the possible utility of remote sensing data in drought monitoring for data-scarce regions.
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页数：9
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