Title :
An Adaptation Analysis of Drought Index in Shanxi Province of China
Author :
Mu, Lingli ; Wu, Bingfang ; Yan, Nana ; Dong, Lixin
Author_Institution :
CAS, Inst. of Remote Sensing Applic., Beijing
fDate :
July 31 2006-Aug. 4 2006
Abstract :
This paper describes the characteristics of vegetation condition index (VCI), temperature condition index (TCI), normalized differential water index (NDWI) and vegetation health index (VHI), and uses the relationship between above indices and relative soil moisture to evaluate the index adaptation. The analysis means that different indices have different adaptation. NDWI is not sensitive to the drought. VCI is sensitive to the drought only in the growing time, but has a lag of 10 days. TCI is more sensitive (the max R2=0.52) to drought and can reflect drought without lag, but not stable. However, in the growing time, VHI is the most sensitive to drought (the max R2=0.56) and stable. Finally, this paper analysis such uncertain factors as measurement condition, data quality and index calculation, which affects the adaptation of index. The result shows that VHI has a good adaptation in the growing time and has a nice prospect in drought monitoring.
Keywords :
evaporation; hydrology; land surface temperature; moisture; remote sensing; soil; transpiration; vegetation; China; Normalized Differential Water Index; Shanxi Province; Temperature Condition Index; Vegetation Condition Index; Vegetation Health Index; atmospheric precipitation; drought monitoring; evaportranspiration; leaf water; remote sensing index adaptation; soil moisture; Land surface; Land surface temperature; Meteorology; Remote monitoring; Remote sensing; Soil moisture; Springs; Temperature sensors; Vegetation; Water;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
DOI :
10.1109/IGARSS.2006.79