TY - JOUR
T1 - Estimation of built-up and green volume using geospatial techniques
T2 - A case study of Surabaya, Indonesia
AU - Handayani, Hepi H.
AU - Estoque, Ronald C.
AU - Murayama, Yuji
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2018/2
Y1 - 2018/2
N2 - Urban indicators are important for communicating relevant information to land planners. Traditionally, the intensity and spatial pattern of urban land use are analyzed laterally using the two-dimensional approach. The availability of geospatial data such as those from remote sensing satellite imageries and digital surface models introduces a third dimension in urban analysis, namely urban volume. Thus, an urban volume indicator is applied to quantify built-up volume and green volume of a big Indonesian city using geospatial techniques, including remote sensing and Geographic Information System (GIS). Surabaya is selected as a case study since the city has grown significantly in terms of both population and capital investment in this decade. We examined the clustering pattern of low and high green volume by performing hot and cold spot analysis. The results indicate that the average built-up volume reaches 173.05 m3/pixel, represented by a residential single house of less than 7 m in height. The average green volume is 14.74 m3/pixel, characterized by vegetation of 0.6–1 m in height, mostly found in the backyards of houses. The ratio of green volume to built-up volume is small (8.52%, or 0.085 m3 green volume per 1 m3 built-up volume). The Kebun Binatang Surabaya Park has been classified as a hot spot area for green volume (highly clustered pixels with high green volume). The areas classified as cold spots are mostly with low green volume and a scattered/low-clustering pattern. There is a huge imbalance between built-up volume and green volume, the latter being much lower, indicating that there is a need for more green spaces and higher green volume. Overall, this study can be used as a reference for future development initiatives that could help improve living conditions in the city through greening programs in the context of sustainable urban development.
AB - Urban indicators are important for communicating relevant information to land planners. Traditionally, the intensity and spatial pattern of urban land use are analyzed laterally using the two-dimensional approach. The availability of geospatial data such as those from remote sensing satellite imageries and digital surface models introduces a third dimension in urban analysis, namely urban volume. Thus, an urban volume indicator is applied to quantify built-up volume and green volume of a big Indonesian city using geospatial techniques, including remote sensing and Geographic Information System (GIS). Surabaya is selected as a case study since the city has grown significantly in terms of both population and capital investment in this decade. We examined the clustering pattern of low and high green volume by performing hot and cold spot analysis. The results indicate that the average built-up volume reaches 173.05 m3/pixel, represented by a residential single house of less than 7 m in height. The average green volume is 14.74 m3/pixel, characterized by vegetation of 0.6–1 m in height, mostly found in the backyards of houses. The ratio of green volume to built-up volume is small (8.52%, or 0.085 m3 green volume per 1 m3 built-up volume). The Kebun Binatang Surabaya Park has been classified as a hot spot area for green volume (highly clustered pixels with high green volume). The areas classified as cold spots are mostly with low green volume and a scattered/low-clustering pattern. There is a huge imbalance between built-up volume and green volume, the latter being much lower, indicating that there is a need for more green spaces and higher green volume. Overall, this study can be used as a reference for future development initiatives that could help improve living conditions in the city through greening programs in the context of sustainable urban development.
KW - Built-up volume
KW - Green volume
KW - Hot and cold spots
KW - Medium resolution satellite imagery
KW - Surabaya
KW - Urban volume
UR - http://www.scopus.com/inward/record.url?scp=85044006768&partnerID=8YFLogxK
U2 - 10.1016/j.scs.2017.10.017
DO - 10.1016/j.scs.2017.10.017
M3 - Article
AN - SCOPUS:85044006768
SN - 2210-6707
VL - 37
SP - 581
EP - 593
JO - Sustainable Cities and Society
JF - Sustainable Cities and Society
ER -