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

Abstract

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.

The Assessment of Sedimentation Problems in Kenyir Hydropower Reservoir, Malaysia

“…Using the Fundamental Georeferencing of ArcGIS analysis, the annual Sediment Load (SL) production is calculated based on a few other key parameters, including measurements of Total Suspended Solid (TSS), river discharge (Q), and sub-catchment areas. In addition, in identifying the level of sedimentation problems along the Kenyir (from [32,42]). (c) The illustration of stimulated land use on the land cover map of Kenyir Lake Basin in 2030 (from [32,42]).…”

“…In addition, in identifying the level of sedimentation problems along the Kenyir (from [32,42]). (c) The illustration of stimulated land use on the land cover map of Kenyir Lake Basin in 2030 (from [32,42]).…”

“…A total of 220 km 2 , or 8.42% of the Kenyir Lake River Basin's total area, will be occupied by built-up regions, according to data on land use and vegetation change detection. With the use of the data, we may more effectively create and implement land use and environmental management strategies that more effectively integrate urban growth with environmental preservation (Refer to Figure 6b,c) [32,42]. [32,42]).…”

“…With the use of the data, we may more effectively create and implement land use and environmental management strategies that more effectively integrate urban growth with environmental preservation (Refer to Figure 6b,c) [32,42]. [32,42]). (c) The illustration of stimulated land use on the land cover map of Kenyir Lake Basin in 2030 (from [32,42]).…”

“…[32,42]). (c) The illustration of stimulated land use on the land cover map of Kenyir Lake Basin in 2030 (from [32,42]).…”