# Analyzing land use land cover and deforestation in the Redd+ area, Central Kalimantan Province, Indonesia
> Maryantika N.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85064209556
Jurnal / Konferensi: International Geoscience and Remote Sensing Symposium IGARSS
Tahun terbit: 2018
DOI: https://doi.org/10.1109/IGARSS.2018.8519073
ISSN: 21536996
Citations: 0

## Authors
- Maryantika N.

## 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.

## Keywords
- Deforestation (computer science)
- Forest cover
- Land cover
- Forest degradation
- Land use
- Hectare
- Reducing emissions from deforestation and forest degradation
- Geography
- Environmental science
- Land use
- land-use change and forestry
- Forestry
- Climate change
- Remote sensing
- Land degradation
- Agroforestry
- Carbon stock
- Agriculture
- Computer science
- Geology
- Ecology
- Archaeology
- Biology
- Programming language
- Oceanography

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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