Off-campus UNL users: To download campus access dissertations, please use the following link to log into our proxy server with your NU ID and password. When you are done browsing please remember to return to this page and log out.

Non-UNL users: Please talk to your librarian about requesting this dissertation through interlibrary loan.

Calibration of AVHRR data using a geographic information system

LLoyd Paul Queen, University of Nebraska - Lincoln

Abstract

Output from remote sensing systems should be corrected and calibrated prior to use for scientific investigation. This research focuses on calculation of three fundamental biophysical variables, radiance, reflectance, and temperature, for both NOAA-AVHRR and LANDSAT-TM data. In addition, radiometric transformations such as emissivity, Apparent Thermal Inertia, and Normalized Difference are also examined. Each biophysical transformation is calculated using both standard and non-standard algorithms, and output from the permutations is then applied to an assessment of topographic and soils variability in the Sandhills of Nebraska. Results from the analysis, which was conducted within the context of a Geographic Information System, show a more linear relationship between calibrated image files and landscape themes than between raw, uncorrected image files and the same landscape themes. Finally, the conclusion is drawn that the generation of biophysical variables does, in fact, increase the information content of AVHRR data.

Subject Area

Geography|Remote sensing

Recommended Citation

Queen, LLoyd Paul, "Calibration of AVHRR data using a geographic information system" (1988). ETD collection for University of Nebraska-Lincoln. AAI8904507.
https://digitalcommons.unl.edu/dissertations/AAI8904507

Share

COinS