The Spread of Dry Area Based on TVDI Index (Temperature Vegetation Dryness Index)

This research explains the use of Remote Sensing to know which areas are dry that are connected by the morphological characteristics in the Sukaresmi district. The purpose of this research is to see the spread of the dry areas in Sukaresmi district which are vulnerable towards drought when the dry season comes using the Remote Sensing application. The Landsat image 8 OLI was used throughout July-September 2013 and between June-August 2017. One of the methods that used in Remote Sensing is triangulation. This method is known as TVDI (Temperature Vegetation Dryness Index) which consists of NDVI (Normalized Difference Vegetation Index), LST (Land Surface Temperature) with the algorithm formula of (LST-LSTmin)/(a+b∗NDVI-LSTmin) that used in determining the dry areas in Sukaresmi district. The relation between the spatial pattern of the dry areas and the morphological characteristics of an area analyzed statistically. This research concludes that the spatial pattern of the dry areas in Sukaresmi district based on the TVDI method reached the highest rate of drought in September 2013 with 163.26 ha, and the drought in June 2017 with a whopping 336.43 ha. The drought areas usually concentrated on the morphological characteristics of the soil of the inhabitants, rice fields, and inclination of the slopes.