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

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 als...

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Main Authors: Mat Zin, Mohd. Hayyi, Ahmad, Baharin
Format: Article
Language:English
Published: Institute of Physics Publishing 2014
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Online Access:http://eprints.utm.my/id/eprint/53364/1/Mohd.HayyiMat2014_Mappingofgovernmentland.pdf
http://eprints.utm.my/id/eprint/53364/
http://dx.doi.org/10.1088/1755-1315/18/1/012037
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spelling my.utm.533642018-07-25T07:57:15Z http://eprints.utm.my/id/eprint/53364/ Mapping of government land encroachment in Cameron Highlands using multiple remote sensing datasets Mat Zin, Mohd. Hayyi Ahmad, Baharin HD Industries. Land use. Labor 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 Institute of Physics Publishing 2014 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/53364/1/Mohd.HayyiMat2014_Mappingofgovernmentland.pdf 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 http://dx.doi.org/10.1088/1755-1315/18/1/012037 DOI: 10.1088/1755-1315/18/1/012037
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic HD Industries. Land use. Labor
spellingShingle HD Industries. Land use. Labor
Mat Zin, Mohd. Hayyi
Ahmad, Baharin
Mapping of government land encroachment in Cameron Highlands using multiple remote sensing datasets
description 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
format Article
author Mat Zin, Mohd. Hayyi
Ahmad, Baharin
author_facet Mat Zin, Mohd. Hayyi
Ahmad, Baharin
author_sort Mat Zin, Mohd. Hayyi
title Mapping of government land encroachment in Cameron Highlands using multiple remote sensing datasets
title_short Mapping of government land encroachment in Cameron Highlands using multiple remote sensing datasets
title_full Mapping of government land encroachment in Cameron Highlands using multiple remote sensing datasets
title_fullStr Mapping of government land encroachment in Cameron Highlands using multiple remote sensing datasets
title_full_unstemmed Mapping of government land encroachment in Cameron Highlands using multiple remote sensing datasets
title_sort mapping of government land encroachment in cameron highlands using multiple remote sensing datasets
publisher Institute of Physics Publishing
publishDate 2014
url http://eprints.utm.my/id/eprint/53364/1/Mohd.HayyiMat2014_Mappingofgovernmentland.pdf
http://eprints.utm.my/id/eprint/53364/
http://dx.doi.org/10.1088/1755-1315/18/1/012037
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score 13.209306