Abstract

The main goal was to develop a set of indicators of forest management sustainability based on remote sensing and image processing that can be used by national monitoring programs. The main specific goals were to review spatially explicit indicators proposed by the Montreal Process to select a sub-set that can be derived using freely available remote sensing data, and to develop the algorithms to obtain the selected indicators and to test them on selected Chilean forest areas. The recommended indicators must be effective in tracking forest ecosystem status and condition and they should be meaningful to managers and stakeholders.