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Mapping of government land encroachment in Cameron Highlands using multiple remote sensing datasets

Mat Zin, Mohd. Hayyi and Ahmad, Baharin (2014) Mapping of government land encroachment in Cameron Highlands using multiple remote sensing datasets. 8th International Symposium of the Digital Earth (ISDE8), 18 (1). ISSN 1755-1315

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Official URL: http://dx.doi.org/10.1088/1755-1315/18/1/012037

Abstract

The cold and refreshing highland weather is one of the factors that give impact to socio-economic growth in Cameron Highlands. This unique weather of the highland surrounded by tropical rain forest can only be found in a few places in Malaysia. It makes this place a famous tourism attraction and also provides a very suitable temperature for agriculture activities. Thus it makes agriculture such as tea plantation, vegetable, fruits and flowers one of the biggest economic activities in Cameron Highlands. However unauthorized agriculture activities are rampant. The government land, mostly forest area have been encroached by farmers, in many cases indiscriminately cutting down trees and hill slopes. This study is meant to detect and assess this encroachment using multiple remote sensing datasets. The datasets were used together with cadastral parcel data where survey lines describe property boundary, pieces of land are subdivided into lots of government and private. The general maximum likelihood classification method was used on remote sensing image to classify the land-cover in the study area. Ground truth data from field observation were used to assess the accuracy of the classification. Cadastral parcel data was overlaid on the classification map in order to detect the encroachment area. The result of this study shows that there is a land cover change of 93.535 ha in the government land of the study area between years 2001 to 2010, nevertheless almost no encroachment took place in the studied forest reserve area. The result of this study will be useful for the authority in monitoring and managing the forest

Item Type:Article
Uncontrolled Keywords:forestry, image reconstruction, remote sensing
Subjects:H Social Sciences > HD Industries. Land use. Labor
Divisions:Geoinformation and Real Estate
ID Code:53364
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:01 Feb 2016 11:52
Last Modified:25 Jul 2018 15:57

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