Analyzing land use land cover and deforestation in the Redd+ area, Central Kalimantan Province, Indonesia

Abstract

A mitigation named reducing emission from deforestation and forest degradation (REDD+) has been developed as one of the most cost-effective strategies to tackle climate change due to forest loss. Timely and accurate forest data are required for REDD+ programs to succeed. A series of multitemporal Landsat imageries obtained during the period from 1995 to 2015 were used to evaluate deforestation in Central Kalimantan REDD+ boundaries. By using support vector machine (SVM) classification method, the LULC types was mapped with a kappa coefficient greater than 0.8 facilitated a reliable interpretation of LULC changes. In 1995, the forest occupied the total area at around 72.6% while it decreased dramatically to a level of 59.5% and 53.8% in 2005 and 2015. The deforestation in the REDD+ project area in the two decades from 1995–2005 and 2005–2015 was 321.2 and 131.1 thousand hectares.

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