Analysis of Vegetation Indices Using Metric Landsat-8 Data to Identify Tree Cover Change in Riau Province

Abstract

Landsat-8 has various channels that function to identify an object. The vegetation index algorithm which is based on remote sensing involves several bands and can describe the percentage of canopy and density of vegetation. More than 100 vegetation index algorithms and each can be used in accordance with the research objectives. In this paper we will discuss the utilization of Landsat-8 metric data with the parameters of Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) and several parameters in metric data with various features to produce indications of rapid land change, especially to detect changes in tree cover area to lose tree cover and vice versa. For this purpose, the annual Landsat-8 metrics data is located in Riau Province. To compare both NDVI and NBR parameters, the trial and error method is used and the results are compared visually to the two different images of the year. The result is that the NBR parameters with a maximum-70 feature and the threshold for tree cover loss and tree cover gain respectively more than -0.1 provide tangible results in looking at the tree cover changes in Riau Province. In the analysis, other information is needed, for example, a map of the Forest Area to see further whether the changes that occur are in the forest area or not, which will certainly provide different treatment.