TY - GEN
T1 - Synergy of Satellite Image and Volunteered Geographic Information to Change Analysis of Impervious Surface
AU - Miao, Z.
AU - Xiao, Y.
AU - Shi, W.
AU - He, Y.
AU - Samat, A.
AU - Liu, S.
PY - 2019/8
Y1 - 2019/8
N2 - China is experiencing a rapid urbanization process and impervious surface is an important indicator to urban sprawl and its related economic and environmental issues. Multitemporal remote sensing, with the auxiliary of change detection methods, provides an efficient, consistent and economical means to monitor the impervious surface change. Traditional change detection methods require prior information to produce the change of impervious surface change, which is time consuming and labor cost. To tackle this issue, this paper presents an integrated approach to detect impervious surface change using satellite image (i.e., Landsat 8) and volunteered geographic information (i.e., Open Street Map). The presented approach was applied to map the impervious surface change in the city of Hefei, China. The results show that the presented approach was able to produce a satisfactory compared to supervised classification methods. The presented approach sheds new light to automatically map and estimate impervious surface change in a reliable and efficient way.
AB - China is experiencing a rapid urbanization process and impervious surface is an important indicator to urban sprawl and its related economic and environmental issues. Multitemporal remote sensing, with the auxiliary of change detection methods, provides an efficient, consistent and economical means to monitor the impervious surface change. Traditional change detection methods require prior information to produce the change of impervious surface change, which is time consuming and labor cost. To tackle this issue, this paper presents an integrated approach to detect impervious surface change using satellite image (i.e., Landsat 8) and volunteered geographic information (i.e., Open Street Map). The presented approach was applied to map the impervious surface change in the city of Hefei, China. The results show that the presented approach was able to produce a satisfactory compared to supervised classification methods. The presented approach sheds new light to automatically map and estimate impervious surface change in a reliable and efficient way.
KW - change detection
KW - impervious surface
KW - satellite image
KW - Volunteered geographic information
UR - http://www.scopus.com/inward/record.url?scp=85074296477&partnerID=8YFLogxK
U2 - 10.1109/Multi-Temp.2019.8866978
DO - 10.1109/Multi-Temp.2019.8866978
M3 - Conference article published in proceeding or book
T3 - 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2019
BT - 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2019
Y2 - 5 August 2019 through 7 August 2019
ER -
