HR: 0800h
AN: H21A-1321    [Abstracts]
TI: Assessment of Watershed Drought Using Remote Sensing
AU: * Chataut, S
EM: chatauts@unlv.nevada.edu
AF: University of Nevada at Las Vegas, Department of Civil & Environmental Engineering, Las Vegas, NV 89154 United States
AU: Piechota, T
EM: piechota@ce.unlv.edu
AF: University of Nevada at Las Vegas, Department of Civil & Environmental Engineering, Las Vegas, NV 89154 United States
AB: This paper focuses on drought assessment of the Upper Colorado River Basin (UCRB) using remote sensing. Lee's Ferry discharge data for Colorado river in the UCRB and the various Palmer Drought Indices (PDI) such as Palmer Hydrological Drought Indices (PHDI), Palmer Drought Severity Index (PDSI), and Palmer Z Index (ZINDX) for the five climatic divisions of the UCRB for last 100 years will be analyzed to find out the best climatic division in the UCRB for carrying out the further analysis between the Normalized Difference Vegetation Index (NDVI) obtained from 5 km resolution Advanced Very High Radiometric Radar (AVHRR) data and the various PDI. The multivariate statistical technique called rotated principal component analysis will be carried out in the time series of the NDVI data in order to avoid multicollinearity and to extract the component that significantly explains the variance in the dataset. The corresponding significant principal scores will be correlated with the PDI to derive relationship between the NDVI and PDI. Preliminary analysis has shown that there is significant correlation between the NDVI and the various PDI, which implies that NDVI could be used as an important data source to detect and monitor the drought condition in the UCRB.
DE: 1800 HYDROLOGY
DE: 1812 Drought
SC: Hydrology [H]
MN: Fall Meeting 2005