Title :
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
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;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5965047