
Proceedings Paper
Monitoring southwest drought of China using HJ-1A/B and Landsat remote sensing dataFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
Drought is one major nature disaster in the world. The affected population and agriculture loss caused by drought are the
largest in all natural disasters. Drought has the characteristics of wide affected areas, long duration and periodic strong
feature. Remote sensing has the advantages of large coverage, frequent observation, repeatable observation, reliable
information source and low cost. These advantages make remote sensing a vital contributor for drought disaster
monitoring and forecasting. So, remote sensing data have been widely used and delivered significant benefits in drought
prevention and reduction in China. Three drought monitor models including Vegetation Condition Index (VCI),
Temperature Condition Index (TCI) and Temperature Vegetation Dryness Index (TVDI) had been used to monitor
southwest drought occurred in China from 2009 to 2011 based on the small satellite constellation for environment and
disaster monitoring and forecasting A/B satellites (HJ-1AB) and Landsat remote sensing data. The results shown that
five regions including Sichuan province, Chongqing, Guizhou province, Yunnan province, Guangxi province in
southwest of China had suffered different degrees agricultural drought disaster in 2010 and 2011. The comprehensive
agricultural disaster situation of five affected areas in 2010 was more serious than drought events occurred in 2011. The
many regions in Guizhou province were hardest-hit areas cased by the two consecutive year drought events in southwest
China.
Paper Details
Date Published: 21 November 2012
PDF: 8 pages
Proc. SPIE 8524, Land Surface Remote Sensing, 852410 (21 November 2012); doi: 10.1117/12.977224
Published in SPIE Proceedings Vol. 8524:
Land Surface Remote Sensing
Dara Entekhabi; Yoshiaki Honda; Haruo Sawada; Jiancheng Shi; Taikan Oki, Editor(s)
PDF: 8 pages
Proc. SPIE 8524, Land Surface Remote Sensing, 852410 (21 November 2012); doi: 10.1117/12.977224
Show Author Affiliations
He Huang, National Disaster Reduction Ctr. of China (China)
Hongjian Zhou, National Disaster Reduction Ctr. of China (China)
Regional Centre of Advanced Technologies and Materials (China)
Ping Wang, National Disaster Reduction Ctr. of China (China)
Regional Centre of Advanced Technologies and Materials (China)
Hongjian Zhou, National Disaster Reduction Ctr. of China (China)
Regional Centre of Advanced Technologies and Materials (China)
Ping Wang, National Disaster Reduction Ctr. of China (China)
Regional Centre of Advanced Technologies and Materials (China)
Wei Wu, National Disaster Reduction Ctr. of China (China)
Regional Centre of Advanced Technologies and Materials (China)
Siquan Yang, National Disaster Reduction Ctr. of China (China)
Regional Centre of Advanced Technologies and Materials (China)
Regional Centre of Advanced Technologies and Materials (China)
Siquan Yang, National Disaster Reduction Ctr. of China (China)
Regional Centre of Advanced Technologies and Materials (China)
Published in SPIE Proceedings Vol. 8524:
Land Surface Remote Sensing
Dara Entekhabi; Yoshiaki Honda; Haruo Sawada; Jiancheng Shi; Taikan Oki, Editor(s)
© SPIE. Terms of Use
