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

• 主要な著者: Mohd Khairul Amri, Kamarudin, Nik Ahmad Firdaus, Nik Wan
• フォーマット: 論文
• 言語: English
• 出版事項: 2018
• 主題: HD Industries. Land use. Labor
• オンライン･アクセス: http://eprints.unisza.edu.my/5880/1/FH02-FSSG-19-23605-1.pdf; http://eprints.unisza.edu.my/5880/

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.