Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.


Science 7 June 1985:
Vol. 228. no. 4704, pp. 1147 - 1153
DOI: 10.1126/science.228.4704.1147

Articles

Imaging Spectrometry for Earth Remote Sensing

Alexander F.H. Goetz 1, Gregg Vane 2, Jerry E. Solomon 3, and Barrett N. Rock 4

1 Senior research scientist and imaging spectrometer program manager, Jet Propulsion Laboratory, California Institute of Technology, Pasadena 91109.
2 Member of the technical staff, Jet Propulsion Laboratory, California Institute of Technology, Pasadena 91109.
3 Supervisor of the imaging analysis systems group, Jet Propulsion Laboratory, California Institute of Technology, Pasadena 91109.
4 Supervisor of the geobotanical remote sensing group, Jet Propulsion Laboratory, California Institute of Technology, Pasadena 91109.

Imaging spectrometry, a new technique for the remote sensing of the earth, is now technically feasible from aircraft and spacecraft. The initial results show that remote, direct identification of surface materials on a picture-element basis can be accomplished by proper sampling of absorption features in the reflectance spectrum. The airborne and spaceborne sensors are capable of acquiring images simultaneously in 100 to 200 contiguous spectral bands. The ability to acquire laboratory-like spectra remotely is a major advance in remote sensing capability. Concomitant advances in computer technology for the reduction and storage of such potentially massive data sets are at hand, and new analytic techniques are being developed to extract the full information content of the data. The emphasis on the deterministic approach to multispectral data analysis as opposed to the statistical approaches used in the past should stimulate the development of new digital image-processing methodologies.


THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES:
Reflectance spectroscopic mapping of diagenetic heterogeneities and fluid-flow pathways in the Jurassic Navajo Sandstone.
B. B. Bowen, B. A. Martini, M. A. Chan, and W. T. Parry (2007)
AAPG Bulletin 91, 173-190
   Abstract »    Full Text »    PDF »
The Neolithic Quarries of Mont Viso, Piedmont, Italy: Initial Radiocarbon Dates.
P. Petrequin, M. Errera, A.-M. Petrequin, and P. Allard (2006)
European Journal of Archaeology 9, 7-30
   Abstract »    PDF »
A remote-sensing method of mapping soils and surficial lags from a deeply weathered arid region, near Cobar, NSW, Australia.
R. L. Dehaan, R.L. Dehaan, and G.R. Taylor (2004)
Geochemistry: Exploration, Environment, Analysis 4, 99-112
   Abstract »    Full Text »    PDF »
Mineral distribution in contact-metamorphosed siliceous dolomite at Ubehebe Peak, California, based on airborne imaging spectrometer data.
P. K. Kozak, P. K. Kozak, E. F. Duke, and G. T. Roselle (2004)
American Mineralogist 89, 701-713
   Abstract »    Full Text »    PDF »
Predictive soil mapping: a review.
P. Scull, J. Franklin, O. A. Chadwick, and D. McArthur (2003)
Progress in Physical Geography 27, 171-197
   Abstract »    PDF »
Imaging spectrometry.
P. J. Curran (1994)
Progress in Physical Geography 18, 247-266
   Abstract »    PDF »



To Advertise     Find Products


Science. ISSN 0036-8075 (print), 1095-9203 (online)