Application of Mangrove Forest Coverage Detection in Ngurah Rai Grand Forest Park using NDVI Tranformation Method

This study aims to detect the area and the changes of Mangrove forest coverage in Ngurah Rai Grand Forest Park in Bali. This detection was managed automatically by using a particular application constructed by employing Matlab programming language. It is more rapid and effective rather than manual computation and direct field measurement. NDVI is the frequently used method in indentifying vegetation. The value of pixel of NDVI is obtained from a formula constituting two images of Landsat satellite. The pixel value of NDVI ranges between -1 to +1 in which the positive value indicates the vegetations and the negative value indicates non-vegetation objects. NDVI Threshold is a process of classifying objects based on the NDVI pixel value. NDVI Threshold is conducted by providing range of value towards NDVI pixel. Mangrove forest is included in the category of briny forest, the NDVI pixel value for this kind of forest ranges from 0.4 to 0.8. The result of NDVI Threshold is used to calculate the total pixel of NDVI which includes within that range. Then, the result will be multiplied to the spatial resolution of Landsat satellite to obtain the area of Mangrove forest coverage.