The application of residential distribution monitoring based on GF-1 images

Yan Cui; Suju Li; Wei Wu; He Huang; Ming Liu

doi:10.1117/12.2205705

Translator Disclaimer

17 December 2015 The application of residential distribution monitoring based on GF-1 images

Yan Cui, Suju Li, Wei Wu, He Huang, Ming Liu

Author Affiliations +

Proceedings Volume 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis; 981114 (2015) https://doi.org/10.1117/12.2205705
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

Earthquake is one of the major natural disasters in the world. Since the twentieth century, it caused a large number of casualties and lots of direct economic losses. With the advantage of wide-coverage, high spatial-temporal resolution, remote sensing technology has been used for residential distribution monitoring of different earthquake intensity. In this paper, based on interpretation of GF-1 remote sensing data, Digital Elevation Model (DEM), reference image, earthquake intensity, resident population statistics data, residential distribution analyzing model has been formed which including: GF-1 remote sensing data processing sub-model, residential distribution monitoring sub-model and residential distribution analyzing sub-model. Case analysis in Nie lamu, Ji long, Ding ri in Tebet during Nepal's 8.1 magnitude earthquake shows that: the proposal model has a high precision and could be used in residential distribution monitoring, combined with resident population statistics data, affected population in earthquake intensity influence region can be acquired, quickly assessment the possibly influence degree of earthquake can be qualitative analyzed.

Citation Download Citation

Yan Cui, Suju Li, Wei Wu, He Huang, and Ming Liu "The application of residential distribution monitoring based on GF-1 images", Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 981114 (17 December 2015); https://doi.org/10.1117/12.2205705

ACCESS THE FULL ARTICLE