2018
DOI: 10.1016/j.rsase.2018.01.002
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Mapping of Krau Wildlife Reserve (KWR) protected area using Landsat 8 and supervised classification algorithms

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Cited by 33 publications
(28 citation statements)
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“…Land use change data is an imperative source for environmental monitoring, forecast of natural disaster, global environmental change, and facilitate planning and utilization of land and other natural resources (Hassan, 2017;Shaharum et al, 2018). Land use maps of the protected areas can serve as a useful input to the Department of Wildlife and National Park of Peninsular Malaysia (DWNP) in conservation planning and managing the sites.…”
Section: Discussionmentioning
confidence: 99%
“…Land use change data is an imperative source for environmental monitoring, forecast of natural disaster, global environmental change, and facilitate planning and utilization of land and other natural resources (Hassan, 2017;Shaharum et al, 2018). Land use maps of the protected areas can serve as a useful input to the Department of Wildlife and National Park of Peninsular Malaysia (DWNP) in conservation planning and managing the sites.…”
Section: Discussionmentioning
confidence: 99%
“…Many researchers around the world have carried out LU/LC change analysis research over many years. Some of the study areas for LU/LC analysis have been North-eastern Latvia, 1 forests, 7 Northern Ethiopia, 9 Mexico, 14 Germany, 18 China, 23 Iran, 25 Egypt, 27 United Arab Emirates, 31 India, 32 Iraq, 37 Malaysia, 41 south-western Australia, 44 Eastern Region of Ghana, 50 Dubai, 52 south-western Nigeria, 54 Indonesia, 55 Pakistan 56 and Sri Lanka. 57 The main objective of researchers in choosing their study area depends on the causes of LU/LC change ( Figure 2), and their work assists government, forest departments, land resource and urban planners in taking the necessary actions to protect the Earth's environment.…”
Section: Lu/lc Applications and Study Area Selectionmentioning
confidence: 99%
“…9,19,25,29,30,34,46,47,51,53,54,56,[61][62][63]67,80,82 Frequently used atmospheric correction methods are Dark Object Subtraction (DOS), Quick Atmospheric Correction (QUAC), FLAASH, Apparent Reflectance Model (ARM) and the F mask method. [7][8][9]12,15,[18][19][20]23,28,29,33,35,37,40,41,45,49,[61][62][63]66,67,70,74,75,79 Geometric corrections include Orthorectification, Geo-referencing, Image Registration, ASCII Coordinate Conversion and Resampling. 1,7,13,16,[22]…”
Section: Pre-processing Techniquesmentioning
confidence: 99%
“…The equalization allowed for reducing the hue difference between the joined scenes significantly, leading to homogenization and standardization of the colors [39]. Furthermore, the mosaics generated for each year were submitted to (iii) trimming the perimeter of the study area, obtained by IBGE [40] and ICMBio [25], and (iv) a composition of spectral bands: RGB 5 (Mid IR), 4 (Near IR), 3 (Red); RGB 4 (Near IR), 3 (Red), 2 (Green); RGB 3 (Red), 2 (Green), 1 (Blue), corresponding to false color, infrared, and natural color, respectively, using the LANDSAT 5 satellite images, and RGB 6 (SWIR1), 5 (NIR), 4 (Red); RGB 5 (NIR), 4 (Red), 3 (Green); and RGB 4 (Red), 3 (Green), 2 (Blue), corresponding to false color, infrared, and natural color, respectively, using LANDSAT 8 [38,41,42].…”
Section: Classification Of Land Covermentioning
confidence: 99%