Integrated Drought Monitoring and Evaluation through Multi-Sensor Satellite-Based Statistical Simulation

Remote Sensing

Seo-Yeon Park¹  Joo-Heon Lee¹  Tae-Woong Kim²  Si Chen³  Jie Chen⁴  Jong-Suk Kim⁴ 

[1] Department of Civil Engineering, Joongbu University, Gyeonggi-do 10279, Korea;Department of Civil and Environmental Engineering, Hanyang University (ERICA), Gyeonggi-do 15588, Korea;School of Resources and Environment, Hubei University, Wuhan 430062, China;State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China;

关键词: remote sensing;    integrated drought monitoring;    meteorological drought;    hydrological drought;    agricultural drought;    Bayesian principal component analysis (BPCA);   

DOI  :  10.3390/rs13020272

来源: DOAJ

【 摘 要 】

To proactively respond to changes in droughts, technologies are needed to properly diagnose and predict the magnitude of droughts. Drought monitoring using satellite data is essential when local hydrogeological information is not available. The characteristics of meteorological, agricultural, and hydrological droughts can be monitored with an accurate spatial resolution. In this study, a remote sensing-based integrated drought index was extracted from 849 sub-basins in Korea’s five major river basins using multi-sensor collaborative approaches and multivariate dimensional reduction models that were calculated using monthly satellite data from 2001 to 2019. Droughts that occurred in 2001 and 2014, which are representative years of severe drought since the 2000s, were evaluated using the integrated drought index. The Bayesian principal component analysis (BPCA)-based integrated drought index proposed in this study was analyzed to reflect the timing, severity, and evolutionary pattern of meteorological, agricultural, and hydrological droughts, thereby enabling a comprehensive delivery of drought information.

【 授权许可】

Unknown