Drought Risk Area Assessment Using Remotely Sensed Data and Meteorological Data in Chern Sub-watershed
Keywords:
Drought, Remotely sensed data, Meteorological dataAbstract
The objectives of this study were to find out the drought parameter index and assess drought risk in Chern Sub-watershed using remotely sensed data which are Normalized Difference Water Index (NDWI), Land Surface Temperature (LST) and Vegetation Health Index (VHI) from level 3 of Aqua/MODIS and meteorological data as Standardized Precipitation Index (SPI). Spatial analysis techniques in GIS and pairwise comparison were used for identified weighting score of each parameter. Drought risk map was verified by redundant drought data from Land Development Department (LDD) using overall accuracy index. The results found that NDWI ranged was 0.25 - 0.46, LST ranged was 28.02 - 39.79 °C, VHI ranged was 49.32 - 55.67 and SPI ranged was (-1.96) - 0.003. Drought risk area assessment showed that about 1,169.06 km2 or 39.90% of the watershed area was under extreme drought risk. Drought risk area comparison through overall accuracy showed high accuracy was 96.17% in extreme drought risk area which was Chum Phae district, Khon Kaen province with 277.38 km2 or 9.47% of watershed area and 370 villages of 9 districts were drought risk area.
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