Paper
21 February 2024 Monitoring construction expansion of urban towns based on GF1 images with different resolutions
Zhongwu Wang, Xinglin Mu, Shucheng You, Lei Du, Hai Wei, Shunxi Liu
Author Affiliations +
Proceedings Volume 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023); 1298811 (2024) https://doi.org/10.1117/12.3024382
Event: Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 2023, Xi’an, China
Abstract
Many existing studies focused on monitoring the construction scale of prefecture-level or metropolitan cities using optical remote sensing images with a medium resolution of 15-80m. However, in many urban towns of cities especially in the eastern coastal areas, the rapid and speeding up developments of construction are happening. Therefore, it is necessary to examine the adaptability on construction scale monitoring using remote sensing images with different resolutions, and to monitor construction scale expansion in order to analyze the driving force of urban development and to support decision making in the management of county-level cities. Taking Fenghua District, Ningbo City, Zhejiang Province as the study area, the construction scale expansion monitoring of urban towns is carried out. GF1 remote sensing images with different spatial resolutions (i.e., 2m, 8m and 16m) are used to compare their capacity in monitoring the construction scale expansion of those areas. Results show that images of 8m resolution is more suitable for monitoring the construction scale of urban towns considering both data size and processing cost. With these imageries, the construction scale of the central urban area of Fenghua and Xikou town in 2009 and 2013 are monitored, and the expansion area and expansion rate from 2009 to 2013 are calculated. The results indicate that the construction expansion scale of Fenghua from 2009 to 2013 is small, and the expansion area is mainly from small block of land construction without any large-area and contiguous block.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhongwu Wang, Xinglin Mu, Shucheng You, Lei Du, Hai Wei, and Shunxi Liu "Monitoring construction expansion of urban towns based on GF1 images with different resolutions", Proc. SPIE 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 1298811 (21 February 2024); https://doi.org/10.1117/12.3024382
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KEYWORDS
Image resolution

Remote sensing

Satellites

Image fusion

Satellite imaging

Data fusion

Data modeling

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