Title :
An improvement of method for monitoring drought using remote sensing
Author :
Ji, Zhu ; Jiancheng, Shi ; Hanfang, Chu ; Qiang, Feng ; Angsheng, Wang
Author_Institution :
State Key Lab. of Remote Sensing Sci., Chinese Acad. of Sci., Beijing, China
Abstract :
In order to improve accuracy of monitoring drought using temperature condition index (TCI), TCI was calculated using the ground temperature which was inverted from the AVHRR data instead of the brightness temperature, and the TCI models for monitoring drought were established in the study. Based on the TCI models and the SHI criteria for classification of drought, the TCI criteria for monitoring drought can be obtained, and are used to monitor drought in China. The validation result of the research showed the TCI models are reliable, and TCI models of ground temperature are better than that of brightness temperature.
Keywords :
hydrological techniques; hydrology; land surface temperature; rain; remote sensing; AVHRR data; China; SHI criteria; drought classification; drought monitoring method; ground temperature; remote sensing; temperature condition index; Brightness temperature; Condition monitoring; Geoscience; Laboratories; Land surface temperature; Layout; Remote monitoring; Soil moisture; Temperature measurement; Temperature sensors; TCI; drought; ground temperature;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5418186
