2:30 PM - 2:45 PM
[HTT20-04] Urban and Green Volume Estimation Using Remote Sensing-GIS Techniques: A Case Study of Surabaya, Indonesia
Keywords:Urban Volume, Green Ratio, Remote Sensing, Geographic Information Systems
This study uses ALOS AVNIR-2 and WorldView-2 as remote sensing data for determining land use/cover (LU/LC). The maximum likelihood classification technique is applied for the first satellite image, then object based classification is applied for the second one. DSM from ALOS-PRISM is employed to calculate the surface feature height. While for filtering the green area, I perform in two different methods, based on NDVI and LU/LC.
The results show that the total urban (built-up) volume of the study area is 395.670.112 m3. The total green volume based on NDVI filtering is 37.083.997 m3. It yields the green ratio around 9.37%. While the total green volume based on LULC filtering is 35,589,309 m3 then it yields the green ratio about 9%. The difference of the green volume from the two methods is about 4.03%, not significant in comparing with the urban volume. However, for the both green ratio, it indicates that the green portion still does not meet the ideal condition.