2014
DOI: 10.1007/s10668-014-9585-y
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Impact assessment of rapid development on land use changes in coastal areas; case of Kuala Langat district, Malaysia

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Cited by 18 publications
(14 citation statements)
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“…Most studies used Maximum Likelihood Classifier (MLC) combined with post-classification change detection. With this method and moderateresolution data, Dewan and Yamaguchi (2009) studied the urban expansion of Dhaka, Bangladesh from 1975to 2003Jin-Song et al (2009) revealed newly added built-in area in Hangzhou, China, from 2001to 2003Faid and Abdulaziz (2012) explored land cover change pattern from 1998 to 2008 due to agricultural development and urban growth in Kom Ombo desert, Egypt; Hepcan et al (2013) studied the urban growth of Izmir, Turkey; Moghadam and Helbich (2013) established the relationship between the expansion of urban built-up area and the retreat of open land and cropland in Mumbai, India, from 1973Boori et al (2015) found the land cover change and corresponding population growth and decline in Samara, Russia, from 1972Russia, from to 2009Hassan et al (2016) showed that cropland, built-up areas and water bodies increased, and forest and bare land decreased in Islamabad from 1992 to 2012; Pourebrahim et al (2015) revealed land cover changes in Kuala Langat district, Malaysia, from 1988 to 2010 and predicted urban growth pattern in 2025; Morshed et al (2017) indicated that the sprawl of Dhaka City, Bangladesh, were relevant to the shrinking of natural vegetation, farmland and water body from 1989 to 2014; Fenta et al (2017) showed the relationship between the growth rate of built-up area and land cover type conversion in Mekelle, Ethiopia, from 1984 to 2014; Sandamali et al (2018) studied the urban land cover change in Kuala Langat district, Malaysia, from 1980 to 2010; Enoguanbhor et al (2019) found that the urban growth in Abuja, Nigeria, was at the cost of the reduction of vegetation area from 1987 to 2017. Besides, few studies tried new methods.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Most studies used Maximum Likelihood Classifier (MLC) combined with post-classification change detection. With this method and moderateresolution data, Dewan and Yamaguchi (2009) studied the urban expansion of Dhaka, Bangladesh from 1975to 2003Jin-Song et al (2009) revealed newly added built-in area in Hangzhou, China, from 2001to 2003Faid and Abdulaziz (2012) explored land cover change pattern from 1998 to 2008 due to agricultural development and urban growth in Kom Ombo desert, Egypt; Hepcan et al (2013) studied the urban growth of Izmir, Turkey; Moghadam and Helbich (2013) established the relationship between the expansion of urban built-up area and the retreat of open land and cropland in Mumbai, India, from 1973Boori et al (2015) found the land cover change and corresponding population growth and decline in Samara, Russia, from 1972Russia, from to 2009Hassan et al (2016) showed that cropland, built-up areas and water bodies increased, and forest and bare land decreased in Islamabad from 1992 to 2012; Pourebrahim et al (2015) revealed land cover changes in Kuala Langat district, Malaysia, from 1988 to 2010 and predicted urban growth pattern in 2025; Morshed et al (2017) indicated that the sprawl of Dhaka City, Bangladesh, were relevant to the shrinking of natural vegetation, farmland and water body from 1989 to 2014; Fenta et al (2017) showed the relationship between the growth rate of built-up area and land cover type conversion in Mekelle, Ethiopia, from 1984 to 2014; Sandamali et al (2018) studied the urban land cover change in Kuala Langat district, Malaysia, from 1980 to 2010; Enoguanbhor et al (2019) found that the urban growth in Abuja, Nigeria, was at the cost of the reduction of vegetation area from 1987 to 2017. Besides, few studies tried new methods.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Meanwhile, hyperspectral images are useful in discriminating various mangrove species [17]. In Malaysia mangrove ecosystems have been studied using various remote sensing data for mangrove detection/areal delineation [18][19][20][21], mangrove change detection [22][23][24][25][26][27][28][29], mangrove species classification [21,30,31], and biomass of mangrove forest [5]. Change detection of mangrove areas using satellite data has been conducted in Malaysia at a local scale.…”
Section: Introductionmentioning
confidence: 99%
“…Guna tanah merujuk kepada penggunaan, pengurusan serta transformasi manusia terhadap tanah berdasarkan ciri-ciri fizikal dan ekologi serta keperluan manusia termasuk keperluan asas, pembangunan sosioekonomi rekreasi dan sebagainya (Bajocco et al, 2012;Pijanowski & Robinson, 2011;Pourebrahim et al, 2015;Zhao et al, 2017). Sistem guna tanah merupakan sebuah sistem yang kompleks dan dinamik namun boleh dikawal (Pei & Pan, 2010) berpandukan pengurusan yang tertentu.…”
Section: Kajian Literaturunclassified