The Use of Hotspot Spatial Clustering and Multitemporal Satellite Imagery to Facilitate Peat Land Degradation in West Kalimantan, Indonesia (Case Study in Mensiku Miniwatershed of Kapuas River)

2nd International Conference of Indonesian Society for Remote Sensing 2016

地球科学;计算机科学

Yanuarsyah, I.^1 ; Suwarno, Y.^2 ; Hudjimartsu, S.^3

Geoinformatic of Informatics Engineering Department, Faculty of Engineering, Ibn Khaldun University, Jalan KH Soleh Iskandar KM 2, Tanah Sereal, West Jawa, Bogor, Indonesia^1

Geospatial Information Agency (BIG), Jalan Raya Jakarta - Bogor KM 46, Cibinong West Jawa, Indonesia^2

Computer Science Department, Bogor Agricultural University (IPB), Jalan Meranti Wing 20 Level V Kampus Dramaga IPB Bogor, West Jawa, Indonesia^3

关键词: clustering;    Economic activities;    Hot spot;    LUC change;    Multitemporal satellite imagery;    Peat land;    Research objectives;    Statistical process;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/47/1/012046/pdf
DOI  :  10.1088/1755-1315/47/1/012046

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Peat land in Indonesia is currently a matter of interest to economic activity. In addition to having the uniqueness of the ecosystem which is reserve a huge of biodiversity and carbon storage, peat land is grow an alternative expansion of agriculture and plantation. Mensiku miniwatershed is a subset of Kapuas Watershed with the domination of the peat soil type. It located in the upstream from the Kapuas River and supporting for the continuation of the river ecosystem. The research objective is to facilitate peat land degradation by using hotspot spatial clustering and multitemporal satellite imagery. There have three main processes which are image processing, geoprocessing and statistical process using DBSCAN to determine hotspot clustering. The trend of LUC changes for 14 years (2002 to 2016) shows that the downward occurred in secondary peat forest (0.9% per year) and swampy shrub (0.6% per year). The upward occurred in mixed farms (0.6% per year) and plantations (0.8% per year). degradation rate of peat land over 14 years about 4.6 km2per year. Hotspot predominantly occurrence in secondary peat forest with 200-250 centimeter depth and Saprists type. DBSCAN clustering obtain 2 clusters in 2002, obtain 4 clusters in 2009 and obtain 1 clusters in 2016. Regarding LUC platform, average density value over 14 years about 0.063 hotspot per km2. DBSCAN is common used to examine the cluster and perform the distribution and density with spatial analysis.