HR: 0800h
AN: H41A-0394    [Abstracts]
TI: Comparison Of Land Surface Temperature Derived From MODIS And AVHRR Sensors
AU: * Atencio, J
EM: bobsand@taipan.nmsu.edu
AF: New Mexico State University, PO Box 30003, MSC 3BE, Las Cruces, NM 88003 United States
AU: Sanderson, R
EM: bobsand@taipan.nmsu.edu
AF: New Mexico State University, PO Box 30003, MSC 3BE, Las Cruces, NM 88003 United States
AU: Bleiweiss, M P
EM: mbleiwei@taipan.nmsu.edu
AF: New Mexico State University, PO Box 30003, MSC 3BE, Las Cruces, NM 88003 United States
AU: Steiner, R
EM: rsteiner@nmsu.edu
AF: New Mexico State University, PO Box 30003, MSC 3BE, Las Cruces, NM 88003 United States
AB: Sensors on board several satellites can measure the thermal infrared radiation emitted from the earth's surface. By applying specific algorithms, this data can be used to produce Land Surface Temperature (LST) maps. This data is very important in energy balance studies, climate modeling and global change studies. This paper compares LST data derived from the Advanced High Resolution Radiometer (AVHRR) aboard the NOAA polar orbiting satellites and LST derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the NASA Terra and Aqua satellites. The AVHRR datasets were obtained from the USGS and New Mexico State University (NMSU) and the MODIS datasets were obtained from the NASA Distributed Active Archive Center (DAAC). Data were compared for 42 sites in New Mexico. These sites represent the range of land cover and terrain typical to New Mexico. The datasets use different compositing techniques and composite periods to arrive at a cloud free dataset. The LST's were compared to each other and were also compared with air temperatures reported by meteorological stations at these locations. Air temperature from these weather stations is being used in many biological and physical studies such as estimating crop ET and for use in phenology models. However, weather stations only provide data at a single point and the accuracy of these models decrease as the distance from the station increases. By obtaining a simple relationship between LST and air temperature it may be possible to use the high spatial resolution of the LST data to estimate variation in air temperature measurements over a region.
DE: 0350 Pressure, density, and temperature
DE: 1814 Energy budgets
DE: 1818 Evapotranspiration
DE: 1847 Modeling
DE: 1855 Remote sensing (1640)
SC: Hydrology [H]
MN: Fall Meeting 2005