FOREST DEGRADATION DETECTION USING MODIS AND LANDSAT DATA IN UNDERSTANDING THE IMPLEMENTATION OF REDD SCENARIO IN EAST KALIMANTAN PROVINCE, INDONESIA

摘要

An important role of Kalimantan Tropical Rain forests in a global ecosystem play as the lungs of the world and a natural laboratory to support of human life. In the context of climate change, forests play an important role in carbon cycle sequence, mainly to reduce greenhouse gas emissions. REDD is a climate change mitigation strategy that involves a lot of players that are designed to take advantage of the market or using intensive financing to reduce emissions of greenhouse gases from deforestation and degradation in developing countries. In this study to understand the implementattion of REDD scenario in East Kalimantan, multi temporal Landsat data with spatial resolution of 30 meters period of 2003, 2006 and 2009 and MODIS Data of 2003-2008 were initially used to detect forest degradation. A fragmentation and change detection methods were then applied to recognize level of Degradation of the study area. A baseline factor analysis was performed for understanding the implementation of REDD as a response to the forest degradation. Results showed that the fragmentation of forests into patch, perforated, edge and core forest facilitate the understanding of level of degradation. Core forest represents a primary forest, while pacth, perforated and edge represent degraded forest. MODIS data analysis showed largely change in forest area due to changes in forest function from primary forest into degraded forest. Analysis of Landsat Data also showed similar result, degraded forest area increased since the year 2003-2009 at about to 498.368 ha. REDD Adaptation in east Kalimantan communities scattered in the degraded forest than in primary forest.