Temporal Changes of Mangrove Distribution in Mukim Kuala Selangor Using GIS Approach

Mangrove forests are commonly found along coastal line where they grow in saline soil and brackish water. With the advantage of new technology, mangrove distribution information can be studied by using Geographic Information System (GIS) technique. This study is to analyse the mangrove distribution...

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Published in:IOP Conference Series: Earth and Environmental Science
Main Author: Hashim N.I.; Zaharin N.F.; Hashim N.H.; Abdul Halim M.
Format: Conference paper
Language:English
Published: Institute of Physics Publishing 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077726861&doi=10.1088%2f1755-1315%2f385%2f1%2f012027&partnerID=40&md5=0aeb903024bd88ca8809681a7d07277f
id 2-s2.0-85077726861
spelling 2-s2.0-85077726861
Hashim N.I.; Zaharin N.F.; Hashim N.H.; Abdul Halim M.
Temporal Changes of Mangrove Distribution in Mukim Kuala Selangor Using GIS Approach
2019
IOP Conference Series: Earth and Environmental Science
385
1
10.1088/1755-1315/385/1/012027
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077726861&doi=10.1088%2f1755-1315%2f385%2f1%2f012027&partnerID=40&md5=0aeb903024bd88ca8809681a7d07277f
Mangrove forests are commonly found along coastal line where they grow in saline soil and brackish water. With the advantage of new technology, mangrove distribution information can be studied by using Geographic Information System (GIS) technique. This study is to analyse the mangrove distribution changes using GIS over Mukim Kuala Selangor, Malaysia of years 2014, 2016 and 2018. Through this study, area selection technique from Landsat-8 OLI/TIRS data was used in image processing. Supervised and unsupervised classification were applied in image processing along with the maximum likelihood classification. The findings of this study show that there were changes occured essentially on mangrove area at the study area. Therefore, it is hoped that this study can help stakeholders for the management of mangrove distribution as well as the other land cover which is vital to provide ecological balance and essential services for the community. © Published under licence by IOP Publishing Ltd.
Institute of Physics Publishing
17551307
English
Conference paper
All Open Access; Gold Open Access
author Hashim N.I.; Zaharin N.F.; Hashim N.H.; Abdul Halim M.
spellingShingle Hashim N.I.; Zaharin N.F.; Hashim N.H.; Abdul Halim M.
Temporal Changes of Mangrove Distribution in Mukim Kuala Selangor Using GIS Approach
author_facet Hashim N.I.; Zaharin N.F.; Hashim N.H.; Abdul Halim M.
author_sort Hashim N.I.; Zaharin N.F.; Hashim N.H.; Abdul Halim M.
title Temporal Changes of Mangrove Distribution in Mukim Kuala Selangor Using GIS Approach
title_short Temporal Changes of Mangrove Distribution in Mukim Kuala Selangor Using GIS Approach
title_full Temporal Changes of Mangrove Distribution in Mukim Kuala Selangor Using GIS Approach
title_fullStr Temporal Changes of Mangrove Distribution in Mukim Kuala Selangor Using GIS Approach
title_full_unstemmed Temporal Changes of Mangrove Distribution in Mukim Kuala Selangor Using GIS Approach
title_sort Temporal Changes of Mangrove Distribution in Mukim Kuala Selangor Using GIS Approach
publishDate 2019
container_title IOP Conference Series: Earth and Environmental Science
container_volume 385
container_issue 1
doi_str_mv 10.1088/1755-1315/385/1/012027
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077726861&doi=10.1088%2f1755-1315%2f385%2f1%2f012027&partnerID=40&md5=0aeb903024bd88ca8809681a7d07277f
description Mangrove forests are commonly found along coastal line where they grow in saline soil and brackish water. With the advantage of new technology, mangrove distribution information can be studied by using Geographic Information System (GIS) technique. This study is to analyse the mangrove distribution changes using GIS over Mukim Kuala Selangor, Malaysia of years 2014, 2016 and 2018. Through this study, area selection technique from Landsat-8 OLI/TIRS data was used in image processing. Supervised and unsupervised classification were applied in image processing along with the maximum likelihood classification. The findings of this study show that there were changes occured essentially on mangrove area at the study area. Therefore, it is hoped that this study can help stakeholders for the management of mangrove distribution as well as the other land cover which is vital to provide ecological balance and essential services for the community. © Published under licence by IOP Publishing Ltd.
publisher Institute of Physics Publishing
issn 17551307
language English
format Conference paper
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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