Abstract
Drought and flood are the most frequent and severe natural disaster. With the development of remote sensing and GIS technology, early detection and monitoring of drought and flood using remote sensing and GIS has become a reality in China. The paper summaries the status of the field including the methods and data used. It especially presents the methods and products for early detection and monitoring of drought and flood developed by National Satellite Meteorological Center (NSMC), and gives an example of Flood monitoring.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Li K, Yin S and Sha W (1996) Characters of time-space of recent drought in China. Geographical Research. 15(3):6–14.
Li K (2000) Y. Proceedings of an Expert Group Meeting held September 5–7, in Lisbon, Portugal.
NSMC, Report of satellite monitoring drought and flood of China in 2003.
Tian G (1993) Estimation of evapotranspiration and soil moisture and drought monitoring using remote sensing in North China Plain. Pages 23–31 in Space and Environment, Special Plenary Session, 44th lnternational Astronautical Federation, IAF Congress, Graz, Austria.
Tian G, Jupp DLB, Qin Y, McVicar TR and Li F (1998) Monitoring Soil Moisture and Drought Using AVHRR Satellite Data II: Applications. CSIRO Earth Observation Centre, Canberra, ACT.
Xiao Qianguang, Chen Weiying, et al. (1994) Soil moisture monitoring by meteorology satellite, Quarterly Journal of Applied Meteorology, Vol. 5, No. 3, (8).
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Zhao, Y., Li, S., Zhang, Y. (2005). Early Detection and Monitoring of Drought and Flood in China Using Remote Sensing and GIS. In: Sivakumar, M.V., Motha, R.P., Das, H.P. (eds) Natural Disasters and Extreme Events in Agriculture. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28307-2_17
Download citation
DOI: https://doi.org/10.1007/3-540-28307-2_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22490-7
Online ISBN: 978-3-540-28307-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)