Abstract
This study has implemented an index-based approach for monitoring the droughts in the Vu Gia – Thu Bon river basin using remote sensing data and the Google Earth Engine cloud computing service. Landsat series remotely sensed data had been used effectively for the time-series calculation of the indices related to the drought hazard. In this study, we examined the performance of several remote sensing-based drought indices (RSDI) for monitoring droughts in the VuGia - ThuBon river basin (VGTB) from January 2010 to December 2020 using the cloud-based Google Earth Engine (GEE) computational platform. When tested again in-situ Potential Evapotranspiration (PET) and Soil temperature, a high agreement exists between our RSDI and PET. These results prove that remote sensing data can be an alternative solution for monitoring drought when remote sensing is the only available source.
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