In-flight validation of remotely sensed thermal infrared data using an automated validation site - Lake Tahoe, CA
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thermal infrared multispectral hyperspectral image↗
Engineering topics
Alley, R.
Publications and source records attributed to Alley, R..
EOS ASTER thermal infrared band vicarious calibration
Calibration of the 5 EOS ASTER instrument emission bands (90 m pixels at surface) is being checked during the operational life of the mission using field measurements simultaneous with the image acquisition.
EOS ASTER thermal infrared calibration↗
Algorithm Theoretical Basis Document for: Decorrelation Stretch
The decorrelation stretch is a process that is used to enhance (stretch) the color differences found in a color image.
ASTER inter-channel decorrelation techniques D-139↗
Advanced Spaceborne Thermal Emission & Reflection Radiometer Algorithm Theoretical Basic Document for: An Atmospheric Correction Method for ASTER Thermal Radiometry Over Land
The objectives of the ASTER investigation in the thermal infrared include, among other things, providing estimates of the radiance leaving the land surface.
ASTER thermal infrared atmospheric correction radi↗
Algorithm Theoretical Basis Document for: Brightness Temperature
The Advanced Spaceborne Thermal Emission and Reflectance Radiometer (ASTER) is a high-spatial-resolution multispectral imaging device scheduled to fly in Earth orbit starting in mid-1999, on the first platform of NASA's Earth Observing System (EOS-AM 1.
ASTER thermal infrared temperature algorithm D-139↗
ASTER Validation Plan
This document is the validation plan for the ASTER standard data products.
ASTER validator calibration algorithm↗
In-Scene Atmospheric Characterization and Compensation in Hyperspectral Thermal Infrared Images
Compensation of thermal infrared radiometric measurements for atmospheric absorption and emission is one of the main factors limiting the accurate estimation of land surface temperatures and emissivities today.
Compensation thermal infrared radiometric measurem↗
What are the best radar wavelengths, incidence angles and polarizations for geologic applications? A statistical approach
Linear discriminant analysis of multifrequency and multipolarization radar scatterometer data of lava flows and sedimentary rocks indicates that the lava flows can be separated by age and the sedimentary rocks can be discriminated from one another. The optimum wavelengths, polarizations and incidence angles among those available for these problems was determined by the discriminant analysis program. For separation of the lava flows, shorter wavelengths, smaller incidence angles and horizontal polarization are best. A SIR-C radar configuration could provide nearly complete discrimination of these lava flows. Conversely, the longer wavelengths, larger incidence angles and vertical polarization was preferred for sedimentary rocks, perhaps due to the slight vegetation cover. Satisfactory classification of sedimentary rocks requires more radar data than for the lavas. These results are potentially useful both for radar system configuration and for geological applications. The method developed here may provide a rationale for user specification of imaging system parameters.
Blom, R.↗