Mr. Lei Du Profile

Lei Du

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Proceedings Article | 21 February 2024 Paper

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

Proceedings Volume 12988, 1298811 (2024) https://doi.org/10.1117/12.3024382

KEYWORDS: Image resolution, Remote sensing, Satellites, Satellite imaging, Image fusion, Data modeling, Data fusion, Spatial resolution, Roads, Optical sensing

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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.

Proceedings Article | 19 January 2024 Paper

Ping river morphology and land cover change detection based on ZY-3 images

Lina Dong, Yun He, Sakda Homhuan, Chanida Suwanprasite, Lei Du, Yizhe Wang

Proceedings Volume 12980, 129802E (2024) https://doi.org/10.1117/12.3020982

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The land cover type and river morphology changes are closely related and will have a profound impact on human life and ecosystems. This article is based on the 2-meter resolution ZY-3 satellite images to carry out land cover and river geomorphology monitoring in the typical demonstration area of the Ping River in Thailand. The results showed that the classification accuracy of land cover in 2013 and 2019 was 95.78% and 92.71%, respectively. The surface type with the greatest change was bare land, which decreased from 1352.33 km2 to 593.08 km2. The curve shape of the Ping River in the demonstration area has undergone significant changes, posing a high risk of erosion and sedimentation, especially in cultivated and bare land areas.

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