HR: 0800h
AN: B41A-0157    [Abstracts]
TI: Relationships among vegetation properties related to their interactions with atmosphere from the analysis of satellite derived data
AU: Hong, S
EM: shong@geol.sc.edu
AF: Department of Geological Sciences at University of South Carolina, 701 Sumter St. EWS 617, Columbia, SC 29208 United States
AU: * Lakshmi, V
EM: venkat-lakshmi@sc.edu
AF: Department of Geological Sciences at University of South Carolina, 701 Sumter St. EWS 617, Columbia, SC 29208 United States
AU: Small, E E
EM: eric.small@colorado.edu
AF: Department of Geological Sciences at University of Colorado, Campus Box 399 2200 Colorado Ave., Boulder, CO 80309-0399 United States
AU: Njoku, E G
EM: eni.g.njoku@jpl.nasa.gov
AF: Water and Carbon Cycles Group, Jet Propulsion Laboratory, 4800 Oak Grove Dr., Pasadena, CA 91109 United States
AU: Chen, F
EM: feichen@ncar.ucar.edu
AF: Research Application Laboratory, NCAR, P.O. Box 3000, Boulder, CO 80307-3000 United States
AB: Vegetation is an important element to understand the complex interrelationship between atmosphere and land surface. In this study, we analyze Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI), and Vegetation Water Content (VegWC). These variables selected in this study are closely related to vegetation water status with surface temperature (Ts) as a key factor of the interaction between vegetation and atmosphere. These satellite derived data sets are from Moderate Resolution Imaging Spectroradiometer (MODIS) data for NDVI, LAI, and Ts, and Advanced Microwave Scanning Radiometer (AMSR) for VegWC. Three different regions, each of which is climatically unique, are selected in North America for this study: North American Monsoon System region (NAMS), South Great Plain (SGP), and Tifton, Georgia. The relationship between NDVI and Ts (known as TvX relationship) which has been studied in many previous works is identified and validated from a weather forecasting model (WRF). The sensitivity of the TvX relationship to land surface roughness is analyzed to quantify the TvX relationship, and the limits of the relationship between NDVI, LAI, and VegWC are presented. A new variable, Normalized Vegetation Water Content (NVegWC) from the ratio of VegWC and LAI, and NDVI show significant relationship especially in relatively arid regions such as NAMS region. In order to investigate the local variation of the relationships between the variables in the three study regions, the land cover classification map is analyzed, and it is identified that different environments related to water status influence the physiological properties of vegetation.
DE: 0414 Biogeochemical cycles, processes, and modeling (0412, 0793, 1615, 4805, 4912)
DE: 0426 Biosphere/atmosphere interactions (0315)
SC: Biogeosciences [B]
MN: Fall Meeting 2005