Abstract
Abstract. Recently the sensing data for urban mapping used is in high demand together with the accessible of very high resolution (VHR) satellite data such as Worldview and Pleiades. This article presents the use of very high resolution (VHR) remote sensing data for urban vegetation mapping. The research objectives were to assess the use of Pleiades imagery to extricate the data of urban vegetation in urban area of Kuala Lumpur. Normalized Difference Vegetation Index (NDVI) were employs with VHR data to find Vegetation Index for classification process of vegetation and non-vegetation classes. Land use classes are easily determined by computing their Normalized Difference Vegetation Index for Land use land cover classification. Maximum likelihood was conducted for the classification phase. NDVI were extracted from the imagery to assist the process of classification. NDVI method is use by referring to its features such as vegetation at different NDVI threshold values. The result showed three classes of land cover that consist of low vegetation, high vegetation and non-vegetation area. The accuracy assessment gained was then being implemented using the visual interpretation and overall accuracy achieved was 70.740% with kappa coefficient of 0.5. This study gained the proposed threshold method using NDVI value able to identify and classify urban vegetation with the use of VHR Pleiades imagery and need further improvement when apply to different area of interest and different land use land cover characteristics. The information achieved from the result able to help planners for future planning for conservation of vegetation in urban area.
Highlights
In observing the changes in vegetation and urban organization, the measurement and mapping of the green vegetation in urban area play a vital part to achieve the goal (Chikr El-Mezour et al, 2010)
The findings from this study indicate that high resolution Pleiades imagery are able to extract and classify urban vegetation with satisfactorily result
We assessed the utility of high resolution data for vegetation mapping in urban area
Summary
In observing the changes in vegetation and urban organization, the measurement and mapping of the green vegetation in urban area play a vital part to achieve the goal (Chikr El-Mezour et al, 2010). Vegetation gives an important component that affect the urban environment. Vegetation is important because it shows an adaptable resource for effective controlling and moderating a variety of problems associated with urbanization (Li et al, 2016). As the understanding of ecosystem services is getting concerned, researchers are becoming more aware of the importance of urban vegetation towards sustainable of urban ecosystem and environment. Remote sensing technology gives a deal of benefits for urban vegetation details acquisition and mapping (Tooke et al, 2009; Tigges et al, 2013; Abd Latif et al, 2011; Pu and Landry, 2012; Immitzer et al, 2012)
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