Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review

The land-use and land-cover (LULC) pattern of an area is an outcome of natural and socio-economic factors and their use spatially by man; this LULC varies from the forest, water body, agricultural land and so on. Remote Sensing (RS) and Geographical Information System (GIS) studies have predominan...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohd Khairul Amri, Kamarudin, Nik Ahmad Firdaus, Nik Wan
Format: Article
Language:English
Published: 2018
Subjects:
Online Access:http://eprints.unisza.edu.my/5880/1/FH02-FSSG-19-23605-1.pdf
http://eprints.unisza.edu.my/5880/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-unisza-ir.5880
record_format eprints
spelling my-unisza-ir.58802022-02-28T04:21:09Z http://eprints.unisza.edu.my/5880/ Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review Mohd Khairul Amri, Kamarudin Nik Ahmad Firdaus, Nik Wan HD Industries. Land use. Labor The land-use and land-cover (LULC) pattern of an area is an outcome of natural and socio-economic factors and their use spatially by man; this LULC varies from the forest, water body, agricultural land and so on. Remote Sensing (RS) and Geographical Information System (GIS) studies have predominantly focused on providing the technical knowledge of, where, and the type of LULC change that has occurred and its impacts on man and the environment. Knowledge about LULC changes is essential for understanding the relationships and interfaces between humans and the natural environment. The purpose of this article is to review the previous studies of the spatiotemporal LULC changes. However, thirty (30) articles were reviewed from 2011 to 2017. However, these articles studied the LULC, classification, changes and change detection analysis, using different methods and software of RS and G.I.S. The finding shows that these articles have overall accuracy assessment ranges from 75% to 95% validations. Also, supervised classification in Maximum Likelihood Algorithm method was mostly employed for the LULC classification. Moreover, these reviewed articles confirmed that LULC changes are imminent as a result of both natural and human factors which lead to increase and decrease of one LULC cover to another. Therefore proper monitoring of LULC changes when applied help the relevant government bodies, agencies and environmental managers utilise the environment to the fullest. 2018-12 Article PeerReviewed text en http://eprints.unisza.edu.my/5880/1/FH02-FSSG-19-23605-1.pdf Mohd Khairul Amri, Kamarudin and Nik Ahmad Firdaus, Nik Wan (2018) Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review. International Journal of Engineering & Technology, 7 (4). pp. 159-162. ISSN 2227-524X
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic HD Industries. Land use. Labor
spellingShingle HD Industries. Land use. Labor
Mohd Khairul Amri, Kamarudin
Nik Ahmad Firdaus, Nik Wan
Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review
description The land-use and land-cover (LULC) pattern of an area is an outcome of natural and socio-economic factors and their use spatially by man; this LULC varies from the forest, water body, agricultural land and so on. Remote Sensing (RS) and Geographical Information System (GIS) studies have predominantly focused on providing the technical knowledge of, where, and the type of LULC change that has occurred and its impacts on man and the environment. Knowledge about LULC changes is essential for understanding the relationships and interfaces between humans and the natural environment. The purpose of this article is to review the previous studies of the spatiotemporal LULC changes. However, thirty (30) articles were reviewed from 2011 to 2017. However, these articles studied the LULC, classification, changes and change detection analysis, using different methods and software of RS and G.I.S. The finding shows that these articles have overall accuracy assessment ranges from 75% to 95% validations. Also, supervised classification in Maximum Likelihood Algorithm method was mostly employed for the LULC classification. Moreover, these reviewed articles confirmed that LULC changes are imminent as a result of both natural and human factors which lead to increase and decrease of one LULC cover to another. Therefore proper monitoring of LULC changes when applied help the relevant government bodies, agencies and environmental managers utilise the environment to the fullest.
format Article
author Mohd Khairul Amri, Kamarudin
Nik Ahmad Firdaus, Nik Wan
author_facet Mohd Khairul Amri, Kamarudin
Nik Ahmad Firdaus, Nik Wan
author_sort Mohd Khairul Amri, Kamarudin
title Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review
title_short Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review
title_full Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review
title_fullStr Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review
title_full_unstemmed Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review
title_sort analysis of spatiotemporal land use and land cover changes using remote sensing and gis: a review
publishDate 2018
url http://eprints.unisza.edu.my/5880/1/FH02-FSSG-19-23605-1.pdf
http://eprints.unisza.edu.my/5880/
_version_ 1726796966949552128
score 13.154949