Author(s)

M.T. Obaidat

Abstract

A Landsat Thematic Mapper image (TM) was used, in combination with ancillary topographic and topoclimatic data, to study the distribution of vegetation classes in the Niwot Ridge-Colorado, U.S.A. A logical channel approach; i.e. spectral and ancillary data, for digital classification of remote sensing data was used. The analysis was performed using the SPSS statistical package. The vegetation class was dependent on nine selected topoclimatic and topographic data variables. These variables include: topographic slope, aspect, albedo with and without slope/aspect consideration, Normalized Difference (ND) with and without slope/aspect consideration, convexity, Potential Solar Insolation (PSI), and Slope Aspect Index (SAI). Three random sampling techniques,

Keywords