Mapping and Estimating Batam Forest Area Moisture Based on Landsat Image Using TVDI Algorithm

Soil moisture is one of the most important parameters in estimating the amount of water stored in a forest. Information about forest moisture is important to determine the capacity of a forest to store water. The purpose of the study is to present information about Batam forest moisture using remote sensing technique. One of the methods to obtain information about forest moisture involves the use of Temperature-Vegetation Dryness Index (TVDI) algorithm. TVDI is a dryness index obtained from the Land Surface Temperature (LST) index. TVDI can be used as a basis to group soil moisture remote sensing data from satellite information. Based on the data from Landsat 8 on April 16, 2016, with Batam forest area as the object of the study, the resulted model used to index dryness (TVDI) using the LST parameter is as follows: TVDI = (LST + 125,482880) / (33.213623 + 125.482880) in bands of 10 and TVDI = (LST + 131.329376) / (25.236053 + 125.482880) in band 11. Based on the above formula and TVDI dryness index values, Batam forest area in 2016 can be classified into four groups: medium-wet (857.95737 Ha), normal (2919.7467 Ha), medium-dry (20,039,841 Ha), and dry (7317.3109 Ha). From this result it can be concluded that Batam forest area is classified as medium dry with a value range of 0.6-0.8.