Paper
26 October 2013 Natural disaster reduction applications of the Chinese small satellite constellation for environment and disaster monitoring and forecasting
Sanchao Liu, Yida Fan, Maofang Gao
Author Affiliations +
Proceedings Volume 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 89211H (2013) https://doi.org/10.1117/12.2032221
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
Abstract
The Small Satellite Constellation for Environment and Disaster Monitoring and Forecasting (SSCEDMF) is an important component of Chinese satellites earth observation system. The first stage of SSCEDMF is composed by “2+1” satellites. The 2 optical satellites (HJ-1-A and HJ-1-B) and 1 S band microwave satellite (HJ-1-C) were successful launched on September 6, 2008 and November 19, 2012 respectively. This article introduced SSCEDMF characteristic and the disaster reduction application system and satellites on-orbit test works, and also analyzed the application capacity in natural disasters included flood, ice flooding, wild fire, severely drought, snow disasters, large area landslide and debris flow, sea ice, earthquake recovering, desertification and plant diseases and insect pests. Furthermore, we show some cases of China’s and other countries’ new natural disasters forecasting, monitoring, assessment and recovery construction.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sanchao Liu, Yida Fan, and Maofang Gao "Natural disaster reduction applications of the Chinese small satellite constellation for environment and disaster monitoring and forecasting", Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 89211H (26 October 2013); https://doi.org/10.1117/12.2032221
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KEYWORDS
Satellites

Natural disasters

Earthquakes

Charge-coupled devices

CCD image sensors

Synthetic aperture radar

Floods

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