Emergency monitoring and post-disaster reconstruction monitoring in the tornado disaster in Yancheng, Jiangsu

Yan Cui; Ming Liu; Suju Li

doi:10.1117/12.2538181

14 February 2020 Emergency monitoring and post-disaster reconstruction monitoring in the tornado disaster in Yancheng, Jiangsu

Yan Cui, Ming Liu, Suju Li

Author Affiliations +

Proceedings Volume 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 1143212 (2020) https://doi.org/10.1117/12.2538181
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

Tornado disaster is not the main natural disasters in China, but it could cause serious casualties and economic losses. As a means of large-scale and dynamic monitoring, remote sensing could monitor the loss of housing and facility agriculture in tornado disaster, and could dynamic monitor the reconstruction of infrastructure such as post-disaster houses. Based on high-resolution optical remote sensing pre-disaster images, basic geographic data, GF-1, GF-2, and TripleSat Constellation satellite images, damaged house and temporary resettlement site and damaged facility agriculture have been monitored during disaster, transitional settlement site and centralized settlement site have been dynamic monitored after disaster. Through the dynamic monitoring of the tornado disaster in Yancheng City of Jiangsu Province in June 2016, the monitoring result shows that satellite remote sensing technology could help to monitor the degree of disasters and resettlement, as well as the dynamic monitor the resettlement and production recovery of residents after the disaster, which can be used as an objective way to judge the process of post-disaster recovery and reconstruction.

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Yan Cui, Ming Liu, and Suju Li "Emergency monitoring and post-disaster reconstruction monitoring in the tornado disaster in Yancheng, Jiangsu", Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 1143212 (14 February 2020); https://doi.org/10.1117/12.2538181

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KEYWORDS

Satellites

Remote sensing

Image fusion

Agriculture

Satellite imaging

Earth observing sensors

Image processing

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