Title :
Comparison of EO-1 Hyperion and airborne hyperspectral remote sensing data for geologic applications
Author :
Kruse, F.A. ; Boardman, J.W. ; Huntington, J.F.
Author_Institution :
Anal. Imaging & Geophys. LLC, Boulder, CO, USA
Abstract :
Airborne hyperspectral data have been available to researchers since the early 1980s and their use for geologic applications is well established. The launch of NASA´s EO-1 Hyperion sensor in November 2000 marked the establishment of spaceborne hyperspectral capabilities. Hyperion is a satellite hyperspectral sensor covering the 0.4 to 2.5 micrometer spectral range with 242 spectral bands at approximately 10 nm spectral resolution and 30 m spatial resolution from a 705 km orbit. AIG and CSIRO, as members of the NASA EO-1 science validation team, have been involved in efforts to evaluate, validate, and demonstrate Hyperion´s utility for geologic applications. Comparison of airborne hyperspectral data to the Hyperion data establishes that Hyperion provides the ability to remotely map surface mineralogy, with the principal limitations being reduced spatial distinctions caused by the Hyperion 30 m spatial resolution (versus 2-20 m spatial resolution for the airborne sensors) and limited mapping of fine spectral detail based on lower signal-to-noise ratios (approximately 50:1 in the SWIR for Hyperion versus >500:1 for the airborne sensors). Initial results at selected Hyperion validation sites in the USA and Argentina establish that Hyperion is performing to specifications and that data from the SWIR spectrometer can be used to produce useful geologic (mineralogic) information.
Keywords :
geology; image resolution; infrared imaging; infrared spectroscopy; minerals; terrain mapping; visible spectroscopy; 0.4 to 2.5 micron; 2 to 20 m; 30 m; 705 km; EO-1 satellite Hyperion sensor; airborne hyperspectral data; airborne sensors; geologic applications; geologic/mineralogic information; hyperspectral imagery; hyperspectral remote sensing data; imaging spectrometry; satellite orbit distance; short-wave infrared spectrometers; signal-to-noise ratios; spaceborne hyperspectral capabilities; spatial distinctions; spatial resolution; spectral bands; spectral detail limitations; spectral range; spectral resolution; surface mineralogy remote mapping; visible/near IR spectrometers; Geology; Hyperspectral imaging; Hyperspectral sensors; NASA; Remote sensing; Satellites; Signal mapping; Signal to noise ratio; Spatial resolution; Spectroscopy;
Conference_Titel :
Aerospace Conference Proceedings, 2002. IEEE
Print_ISBN :
0-7803-7231-X
DOI :
10.1109/AERO.2002.1035288