HR: 14:55h
AN: B23F-06    [Abstracts]
TI: Retrieving Moderate Resolution Biophysical Parameters by Fusing Landsat-like Data and MODIS Land Products
AU: * Gao, F
EM: fgao@ltpmail.gsfc.nasa.gov
AF: Earth Resources Technology Inc., 10810 Guilford Road, Suite 105, Annapolis Junction, MD 20701,
AU: * Gao, F
EM: fgao@ltpmail.gsfc.nasa.gov
AF: Biospheric Science Branch, NASA Goddard Space Flight Center, Greenbelt Road, Greenbelt, MD 20771,
AU: Masek, J
EM: Jeffrey.G.Masek@nasa.gov
AF: Biospheric Science Branch, NASA Goddard Space Flight Center, Greenbelt Road, Greenbelt, MD 20771,
AB: Landsat data have been successfully used for retrieving biophysical parameters and serve as an important validation source for coarser-resolution satellite instruments such as MODIS. A continuous Landsat data record is critical for many applications. However, the scan-line corrector problem on Landsat 7 and the age of Landsat 5 are threatening the continuity of Landsat data record before a new Landsat mission starts operation. Landsat- like data sources such as the Advanced Wide Field Sensor (AWiFS) aboard the Indian Remote Sensing Satellite (IRS), the Charge Coupled Device (CCD) camera aboard the China-Brazil Earth Resources Satellite (CBERS), and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) aboard EOS/TERRA have spatial resolutions and bandwidths similar to Landsat TM/ETM+. They are good candidates for mitigating a possible gap in Landsat operations and thus reducing Landsat program risk. However, different acquisition times and the lack of blue or thermal band limit their abilities in retrieving surface reflectance and biophysical properties. Two approaches have been developed to retrieve biophysical parameters for these Landsat-like data sources. First, a relative atmosphere correction approach was developed to correct AWiFS data to surface reflectance using MODIS surface reflectance as reference. The corrected surface reflectance is consistent with MODIS surface reflectance through one step processing and thus biophysical parameters such as leaf area index (LAI) can be retrieved based on the corrected surface reflectance using MODIS algorithms. The same approach can be extended to other Landsat-like data sources (CBERS, ASTER) for retrieving biophysical products. Second, a general empirical relation model (GERM) was developed to relate satellite digital number (DN) with MODIS LAI directly through MODIS homogeneous pixels. This approach will be demonstrated using Landsat/Landsat-like data and the MODIS LAI product. These results show the power of combining multi-resolution data sources for land parameter retrievals, using MODIS as a reference data set.
DE: 0434 Data sets
DE: 0480 Remote sensing
DE: 1632 Land cover change
DE: 1640 Remote sensing (1855)
SC: Biogeosciences [B]
MN: 2007 Fall Meeting