Analyses of Landsat TM and SPOT multispectral data were performed with a very detailed
description of the vegetation cover in the field to get a relevancy and consistency of digital image
classification in a semi-automatic approach. Three main vegetation types, i.e. primary forest, logged-over
forest and secondary forest after clear cut were analyzed and the microclimatic parameters were also
measured to describe the ecological condition of the vegetation. Spectral and textural analysis of data
obtained from field measurements and spectral reflectance values of the remote sensing data are the main
topic of this report as one aspect of study on the Digital Method of Detection and Monitoring on Forest
Ecosystem Change Using High Resolution Satellite Data funded by the Indonesian National Research
Council. This study shows that spectral reflectance values alone cannot differentiate the logged-over
forest from the primary forest, but it is very sharply distinguished from the secondary forest. As for the
texture analysis, it is possible to distinguish the logged-over forest from the primary forest, as shown by
different values of degree of Entropy, although spatially, it is still doubtful.