Temperature vegetation dryness index (TVDI) for drought monitoring in the Guangdong Province from 2000 to 2019.

ABSTRACT: Drought monitoring is crucial for assessing and mitigating the impacts of water scarcity on various sectors and ecosystems. Although traditional drought monitoring relies on soil moisture data, remote sensing technology has have significantly augmented the capabilities for drought monitoring. This study aims to evaluate the accuracy and applicability of two temperature vegetation drought indices (TVDI), TVDI_NDVI and TVDI_EVI, constructed using the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) vegetation indices for drought monitoring. Using Guangdong Province as a case, enhanced versions of these indices, developed through Savitzky-Golay filtering and terrain correction were employed. Additionally, Pearson correlation analysis an

SUBMITTER: Chen A 

PROVIDER: S-EPMC10734433 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature