| Summary: | This study describes the use of WorldView - 2 imagery to determine the
distribution of green space , the degree of accuracy in the interpretation of the
image of green space as well as estimating the volume of oxygen produced by
urban green space . Urban green space is the face of the earth (urban area) that
cover by canopy vegetation (chlorophyll) when viewed from above, regardless of
the use of land (Sobirin, 2001). Green space in urban areas have an important role
to maintain the air quality in urban areas. The presence of green space is important
to the fulfillment of oxygen for urban communities . The use of remote sensing
data with high spatial resolution, spectral resolution is very diverse and
sophisticated in studying this topic. The WorldView - 2 imagery that used in this
study is recorded on October 1, 2012.
This study begins with the interpretation of WorldView - 2 imagery
composite 421 visually to get data of land-use and checking the field to obtain the
value of accuracy. Then measuring biomass of 42 sample points which spread in
each vegetation land-use and converts it into oxygen values using the equation of
photosynthesis. The value of biomass obtained from measurement in the field .
The results of this study is South Magelang District has 266 hectares of
green space that spread across the district. The accuracy of land-use interpretation
through image is 94,56% . During one year, the green space produces 19,231,254
kg oxygen. Government needs to preserve existing green space with planning area
of the city that balancing the green space and buildings.
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