Forest management on public and private land is under intense public scrutiny. Public concern for the aesthetic qualities of forests has yielded a growing demand for conserving natural forest environments. Legislation to maintain the scenic beauty of the forests is even part of United States Department of Agriculture, Forest Service (USFS) land management planning. Traditional research methods to determine scenic quality involve time-consuming judgments by a large group of people. Our goal is to develop intelligent algorithms to automate these processes. We are using digitized images of a range of forest stand treatments from color slide photographs. Ongoing research extracts digital metrics such as color, line edge detection, image segmentation, and object recognition. Modeling involves calibration of these measures with estimates of scenic beauty and other psychological judgments.