HR: 0800h
AN: B11A-0129    [Abstracts]
TI: Monitoring Ecosystem Carbon and Water Variations During a Severe Drought in the Southwest With AVIRIS and MODIS Sensor Data.
AU: * Kim, Y
EM: ywkim@email.arizona.edu
AF: University of Arizona, TBRS Lab. SWES Dept. 429 Shantz, #38 P.O. Box 210038 University of Arizona, Tucson, AZ 85721 United States
AU: Huete, A R
EM: ahuete@ag.arizona.edu
AF: University of Arizona, TBRS Lab. SWES Dept. 429 Shantz, #38 P.O. Box 210038 University of Arizona, Tucson, AZ 85721 United States
AU: Didan, K
EM: kamel@ag.arizona.edu
AF: University of Arizona, TBRS Lab. SWES Dept. 429 Shantz, #38 P.O. Box 210038 University of Arizona, Tucson, AZ 85721 United States
AU: Cobb, N
EM: Neil.Cobb@nau.edu
AF: Northern Arizona University, Department of Biological Sciences Northern Arizona University PO Box 5640, Flagstaff, AZ 86011 United States
AU: Koch, G
EM: George.Koch@nau.edu
AF: Northern Arizona University, Department of Biological Sciences Northern Arizona University PO Box 5640, Flagstaff, AZ 86011 United States
AB: We investigated the spatial and temporal variations in vegetation biologic activity across a wide range of ecosystems (desert shrub to conifer forest) in northern Arizona with carbon and water indices derived from fine resolution AVIRIS data and moderate resolution MODIS observations. Leaf level and canopy level surface moisture indices were computed over the range of ecosystems and drought-induced mortality sites with hyperspectral AVIRIS data in the 1240nm and 2100nm water absorption regions. The land surface moisture indices were combined with the vegetation index, carbon measures to map spatial and temporal patterns of above-ground net productivity and analyze ecosystem sensitivity to water availability and precipitation. The coupled water and carbon indices were scaled up to MODIS data for spatial extension and time series analysis over the past 5 years. Land surface moisture and carbon patterns behaved differently across the range of ecosystems and within drought impact sites. Drought impacts were observed in all ecosystems, particularly in tree mortality areas and the grassland and desert areas. Our results show that combined water and carbon indices offer improved sensitivity to ecosystem health assessment and drought detection and analysis. Remotely-sensed land surface water indices combined with the carbon products yielded important information useful in the prediction of vegetation health response to climate change and human land cover modifications.
DE: 1812 Drought
DE: 1600 GLOBAL CHANGE (New category)
DE: 1640 Remote sensing
DE: 0400 Biogeosciences
DE: 0933 Remote sensing
SC: Biogeosciences [B]
MN: 2004 AGU Fall Meeting