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Proceedings Paper

Image sharpening method to recover stream temperatures from ASTER images
Author(s): William T. Gustafson; Rebecca N. Handcock; Alan R. Gillespie; Hideyuki Tonooka
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Paper Abstract

Linear unmixing of spectra from daytime Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images can be used to improve the spatial resolution of temperatures calculated for streams that are not fully resolved in the 90-m thermal infrared (TIR) data. We first examine ASTER 15-m Visible-Near Infrared (VNIR) data to select three endmembers using a simple automated technique. These endmembers correspond to vegetation, shade/water, and other scene components (e.g. urban/soil/non-photosynthetic vegetation). Then the 15-m VNIR data are unmixed into the three corresponding fraction images. Threshold and adjacency tests are used to separate the shade and water fractions creating a total of four fraction images that together are used to specify the amount of the scene components in each 90-m TIR pixel. The emitted thermal radiance (ETR) from each of the scene components can be estimated if we assume that it is the same as for a

Paper Details

Date Published: 14 March 2003
PDF: 12 pages
Proc. SPIE 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, (14 March 2003); doi: 10.1117/12.462325
Show Author Affiliations
William T. Gustafson, Univ. of Washington (United States)
Rebecca N. Handcock, Univ. of Washington (United States)
Alan R. Gillespie, Univ. of Washington (United States)
Hideyuki Tonooka, Ibaraki Univ. (Japan)

Published in SPIE Proceedings Vol. 4886:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II
Manfred Ehlers, Editor(s)

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