Abstract
The prospects for obtaining new information on a global scale rest on suitable access to, and organization and processing of, immense volumes of remotely sensed and other data. This chapter addresses the issue of processing high-dimensional spectral data for extraction of information on surface conditions or processes. The second part of the chapter describes some statistical methods and developments relevant to the use of remotely sensed data for estimates of surface condition or classification.
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Wallace, J.F., Campbell, N. (1990). Analysis of Remotely Sensed Data. In: Hobbs, R.J., Mooney, H.A. (eds) Remote Sensing of Biosphere Functioning. Ecological Studies, vol 79. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3302-2_14
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DOI: https://doi.org/10.1007/978-1-4612-3302-2_14
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