jaue2019-030: A Study on the Calculation of Green Area in the Urban Area Using Unsupervised Classification

Abstract

According to the National Institute of Meteorological Sciences in Korea, as the global warming phenomenon 
has recently intensified in Korea, the average annual temperature has risen 1.4 ଇ to 14.0 ଇ for 30 years. 
The rise in temperature in cities not only increases energy consumption but also adversely affects the health of 
citizens. In particular, in the urban areas where the amount of greenhouse gas is generated, the importance of 
green space is emerging as a method for reducing greenhouse gas. Green area creation and management are 
very important to improve urban environmental problems. However, the number of local governments that 
have reduced or repealed landscaping standards is increasing. Various studies using satellites have been 
conducted to monitor the characteristics of green space and vegetation distribution. However, remote sensing 
using satellites has limitations that can only be judged due to limitations in the spectral and spatial resolution 
of image data. This study utilizes an unmanned aerial vehicle that is easy to acquire data and has the advantages 
of repeated shooting. Based on aerial images acquired through digital cameras, build spatial information on 
the site and calculate the green area of the site through unsupervised classification. Green space in the site was 
classified based on the constructed spatial information. The resulting Green area in the Raster format was 
converted to the Vector format for correction and area calculation. The total area of the site was 34,348 ້ and 
the green area was 3277.28 ້. Ground green area was 1659.94 ້ (50.65%), LoadSide Tree area was 
1081.58 ້ (33.0%) and Rooftop Garden area was 535.76 ້ (16.35%).