Research on the remote sensing monitoring method for large-area spring drought in Liaoning Province

Author

Feng, Rui ; Ji, Ruipeng ; Wang, Hongbo ; Wu, Jinwen ; Zhang, Yushu ; Yu, Wenying ; Cai, Fu ; Zhao, Xianli ; Chen, Pengshi ; Sun, Longyu ; Li, Li

Author_Institution

Dept. of Agric. Meteorol., CMA, Shenyang, China

fYear

2011

fDate

24-26 June 2011

Firstpage

3421

Lastpage

3424

Abstract

By utilizing EOS/MODIS satellite remote sensing data and surface soil moisture observation data, and on the basis of topography of Liaoning Province, rainfall distribution, and the frequency of occurrence of droughts in the east and west part, it is possible to rezone the drought monitoring area, and respectively set up the drought monitoring models for different areas. As a result, the dynamic monitoring of drought is realized, and the drought monitoring accuracy is enhanced.

Keywords

hydrology; rain; remote sensing; soil; topography (Earth); China; EOS-MODIS satellite; Liaoning province; drought monitoring area; drought monitoring models; large-area spring drought; rainfall distribution; remote sensing data; remote sensing monitoring method; surface soil moisture; Humidity; MODIS; Monitoring; Remote sensing; Soil moisture; Drought; Remote Sensing Monitoring; Spring;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9172-8

Type

conf

DOI

10.1109/RSETE.2011.5965047

Filename

5965047