Indonesia National Board for Disaster Management (BNPB) said that in 2002-2009 the drought was the second most frequent intensity after the flood disaster. Drought is a condition where a region experiences a lack of water. If this drought occurs in the agricultural area, it will certainly affect the plants that grow. One of the potential detection methods for drought can be using remote sensing. Temperature Vegetation Dryness Index (TVDI) is one method to detect drought potential with two parameters, vegetation index, and temperature. Through the triangle method, there is a relationship between the vegetation index and temperature represented by linear equations. These linear equations are used to calculate TVDI values. This study uses data Landsat 8 image and paddy fields. The objective of this research is how the distribution and the area of drought based on the TVDI algorithm. The TVDI with dry classes diffuse in the central and western parts, it is also the TVDI with the largest area about 155.82 km2 or 44% of the total. TVDI with wet classes can be seen in the western part of the region and the smallest area about 32.94 km2 or 9% of the total.
|Journal||E3S Web of Conferences|
|Publication status||Published - 28 Oct 2019|
|Event||4th International Conference on Energy, Environment, Epidemiology and Information System, ICENIS 2019 - Semarang, Indonesia|
Duration: 7 Aug 2019 → 8 Aug 2019
- Landsat 8
- Remote Sensing