Identification of Mangrove Forest Damage by using Object Based Image Analysis Study Case: Taman Hutan Raya Ngurah Rai, Denpasar, Bali

Mangrove forests have several functions, namely preventing the intrusion of sea water, erosion, abrasion, and was instrumental in the formation of the island and stabilize the presence of coastal habitat. Mangrove forest area of Denpasar, Bali is the largest mangrove forest in Indonesia. Taman Hutan Raya Ngurah Rai in 1993 has an area of 1373.50 ha based on the Ministerial Decree No. 554 / Kpt-II / 1993. Remote sensing providing opportunities for identifying, monitoring, mapping and calculation of the extent of land cover and deforestation. This mapping is very effective and efficient, especially for areas experiencing the dynamics of land use changes very fast. By looking at the dynamics of forest area changes from year to year, this research needs to be done to see how big the impact of land use change on forest area. One of the technologies and methods in the identification of remote sensing image information that is object-based image analysis (OBIA). OBIA classification process is an approach that not only take consider the spatial aspects but also the spatial aspects of the object. The research objective is to knowing the damage to mangrove forests and extensive damage at Tahura, Ngurah Rai, Bali 2015 by using remote sensing data Sentinel-2. This research develops methods for the identification of mangrove deforestation and Providing advice in the planning of land use in the management of coastal mangrove forests.