Vegetation Extraction With Pixel Based Classification Approach in Urban Park Area

Hashim, Haslina; Latif, Zulkiflee Abd; Adnan, Nor Aizam; Hashim, Izrahayu Che; Zahari, Nurul Fadzila

doi:10.21837/pm.v19i16.956

Cited by 2 publications

(2 citation statements)

References 29 publications

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“…Urban vegetation plays an important role in human life and environmental regulation in cities [1][2][3][4]. As an important part of the urban ecosystem, urban vegetation is the main producer of the city, participating in regulation of climate change, altering energy and matter exchange between the surface and atmosphere, and promoting complex biogeochemical cycles [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Quantitatively Assessing the Impact of Driving Factors on Vegetation Cover Change in China’s 32 Major Cities

Zhao

et al. 2022

Remote Sensing

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After 2000, China’s vegetation underwent great changes associated with climate change and urbanization. Although many studies have been conducted to quantify the contributions of climate and human activities to vegetation, few studies have quantitatively examined the comprehensive contributions of climate, urbanization, and CO2 to vegetation in China’s 32 major cities. In this study, using Global Land Surface Satellite (GLASS) fractional vegetation cover (FVC) between 2001 and 2018, we investigated the trend of FVC in China’s 32 major cities and quantified the effects of CO2, urbanization, and climate by using generalized linear models (GLMs). We found the following: (1) From 2001 to 2018, the FVC in China generally illustrated an increasing trend, although it decreased in 23 and 21 cities in the core area and expansion area, respectively. (2) Night light data showed that the urban expansion increased to varying degrees, with an average increasing ratio of approximately 168%. The artificial surface area increased significantly, mainly from cropland, forest, grassland, and tundra. (3) Climate factors and CO2 were the major factors that affected FVC change. The average contributions of climate factors, CO2, and urbanization were 40.6%, 39.2%, and 10.6%, respectively. This study enriched the understanding of vegetation cover change and its influencing factors, helped to explain the complex biophysical mechanism between vegetation and environment, and guided sustainable urban development.

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Section: Introductionmentioning

confidence: 99%

Quantitatively Assessing the Impact of Driving Factors on Vegetation Cover Change in China’s 32 Major Cities

Zhao

et al. 2022

Remote Sensing

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“…Least-Cost Path Analysis is based on a raster and has a narrower focus. It discovers the path between cells with the lowest aggregated cost by using a cost raster that defines the cost of traveling through each cell (Hashim H, 2021). A source raster, a cost raster, cost distance measures, and an algorithm for determining the least accumulative cost path are all required for a least-cost path analysis.…”

Section: Least Cost Path Analysismentioning

confidence: 99%

Transmission Suitability Route Map Using the Least Cost Path Analysis (Lcpa)

Lin

Mathew

Rasam³

2023

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This study uses a Least Cost Path Analysis (LCPA) to create a transmission suitability route map. Environmental issues including electromagnetic pollution, habitat fragmentation, forest clearing, and the sight of pylons and power lines, and electromagnetic pollution are just a few that may come up during the planning and construction phases. The study's objectives are to define the criteria for a suitable transmission route, map the current transmission from Kidurong to Kemena in Bintulu, Sarawak, and suggest a new, LCPA-based transmission route that meets these criteria. It is necessary to determine the criteria that influence the construction of the route. There are three main categories for the proposed routes. There are technical, human health, and natural environments. The road layer and slope layer are combined for the technical group. The residential layer is part of the human health group, and land use is associated with the natural environment. During the planning of a potential power line route, weight was assigned to the criterion maps. The outcome demonstrates that the suggested route was built based on most flat sections, with only a little portion passing through the sharpest sector because there is no other way to depart from the path to avoid it. The output route is nearly straight from the source location to the destination point. The route also curves in a couple of places to go around the step area. The proposed transmission line is inside the buffer zone, and there are no other routes in the area that are more than 1 km from the road. Class 1 has a low dwelling density; therefore, the route passes through it for the residential evaluation. Additionally, there are a few places where the route passes through class 2 because only class 2 has a lower housing density.

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Vegetation Extraction With Pixel Based Classification Approach in Urban Park Area

Cited by 2 publications

References 29 publications

Quantitatively Assessing the Impact of Driving Factors on Vegetation Cover Change in China’s 32 Major Cities

Quantitatively Assessing the Impact of Driving Factors on Vegetation Cover Change in China’s 32 Major Cities

Transmission Suitability Route Map Using the Least Cost Path Analysis (Lcpa)

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