TITLE

Characterization of vegetation in the south of México by means of a canonical expansion

AUTHOR(S)
Lira, J.; García, E.
PUB. DATE
March 2003
SOURCE
International Journal of Remote Sensing;3/10/2003, Vol. 24 Issue 5, p1083
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
In this work, a method to characterize vegetation cover types is presented. The state of vegetation is represented by means of canonical variables derived from the bands of a multi-spectral image. The canonical variables handled in this work are the following: albedo of vegetation, strength of the greenness of vegetation, and humidity content of vegetation. These variables are uncorrelated, as is demonstrated in this research. The ensemble of these variables establishes a canonical expansion of the multi-spectral image. This is a canonical representation of vegetation. The canonical variables mentioned above form a multi-band image. This image is input into an unsupervised spectral classifier to generate a thematic map of vegetation cover types. Based on ground data, these vegetation classes are identified. In addition to this map, the following information layers are incorporated into the characterization process: lithological units, digital terrain model, hydrography, geomorphological units and climate. The whole of this information is integrated into a geospatial database to provide a description of the vegetation classes.
ACCESSION #
9303733

 

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