Detection of Deforestation Using Low Resolution Satellite Images in the Islands of Sumatra 2000-2012
NURDIN SULISTIYONO, I Nengah Surati Jaya, Lilik Budi Prasetyo, Tatang Tiryana
Abstract
NURDIN SULISTIYONO, I Nengah Surati Jaya, Lilik Budi Prasetyo, Tatang Tiryana
Abstract
In the last two decades, the international community has given great attention to the issues of deforestation and degradation. In Indonesia, these issues had been a very critical as they were related to the Indonesian government's commitment in reducing greenhouse gases by 2020 through the Reducing Emission from Deforestation and forest Degradation (REDD) mechanism. This paper describes the use of low resolution satellite imagery, i.e., MODIS (Moderate Resolution Imaging Spectroradiometer) for monitoring deforestation in Sumatra during the period of 2000-2012. The main objective of the study was to derive rapid forest and land cover change information from low resolution imageries in Sumatra between 2000 2012. -----------------------------------------------------------------------* Corresponding author. E-mail address: nurdinsty2013@gmail.com.
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In the last two decades, the international community has given great attention to the issues of deforestation and degradation. In Indonesia, these issues had been a very critical as they were related to the Indonesian government's commitment in reducing greenhouse gases by 2020 through the Reducing Emission from Deforestation and forest Degradation (REDD) mechanism. This paper describes the use of low resolution satellite imagery, i.e., MODIS (Moderate Resolution Imaging Spectroradiometer) for monitoring deforestation in Sumatra during the period of 2000-2012. The main objective of the study was to derive rapid forest and land cover change information from low resolution imageries in Sumatra between 2000 2012. -----------------------------------------------------------------------* Corresponding author. E-mail address: nurdinsty2013@gmail.com.
Key concepts: Deforestation (computer science), Moderate-resolution imaging spectroradiometer, Forest degradation, Reducing emissions from deforestation and forest degradation, Forest cover, Indonesian, Remote sensing, Satellite imagery