Hotspot Distribution Analyses Based on Peat Characteristics Using Density-based Spatial Clustering

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2015 English Publisher:Elsevier BVJournal:Procedia Environmental Sciences, volume 24, pages 132-140 (issn: 1878-0296,

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Authors: Usman, Muhammad; Sitanggang, Imas Sukaesih; Syaufina, Lailan;

doi: 10.1016/j.proenv.2015.03.018

Hotspot Distribution Analyses Based on Peat Characteristics Using Density-based Spatial Clustering

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Abstract

AbstractHotspot is one of forest and land fires indicator that is used for developing fire early warning system. This study aimed to determine the areas that have high density of hotspot in the peat land area of Sumatra. The method applied was Density-Based Spatial Clustering Algorithm with Noise (DBSCAN) to form hotspot clusters in Sumatra in the years of 2002 and 2013. This study found that there were changes in the pattern of distribution of hotspot in peat land from 2002 to 2013, where in 2002 were mostly found in moderate depth peat land, whereas in 2013, mostly found in very deep peat land area.

Related Organizations

Bogor Agricultural University
Indonesia

Keywords

peat land, BSCAN algorithm, hotspot, clustering

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