A New Drought Index for Soil Moisture Monitoring Based on MPDI-NDVI Trapezoid Space Using MODIS Data
Liangliang Tao, Dongryeol Ryu, Andrew Western, Dale Boyd
REMOTE SENSING | MDPI | Published : 2021
The temperature vegetation dryness index (TVDI) has been commonly implemented to estimate regional soil moisture in arid and semi-arid regions. However, the parameterization of the dry edge in the TVDI model is performed with a constraint to define the maximum water stress conditions. Mismatch of the spatial scale between visible and thermal bands retrieved from remotely sensed data and terrain variations also affect the effectiveness of the TVDI. Therefore, this study proposed a new drought index named the condition vegetation drought index (CVDI) to monitor the temporal and spatial variations of soil moisture status by substituting the land surface temperature (LST) with the modified perpe..View full abstract
Awarded by Chinese Natural Science Foundation
Awarded by University of Melbourne Research - Korea Aerospace Research Institute
This work has been supported by Chinese Natural Science Foundation Project (41901278) and supported in part by the University of Melbourne Research Contract #300405 sponsored by the Korea Aerospace Research Institute, and by the State Scholarship Fund of China.