OREGON STATE UNIVERSITY

Laser scan of a mature Douglas Fir stand in Oregon used for forest inventory

Management, Algorithms, and Remote Sensing

Using airborne and spaceborne platforms for modeling and decision

Forest inventory from colored lidar

Stem measurements using photogrammetric point clouds

Tree segmentation from lidar

Forest inventory using terrestrial laser scans.

Point cloud classification and individual tree dimensional measurements.

Home Page

Welcome to the Forest Geomatics Lab, the Management, Algorithms, and Remote Sensing research group, MARS. We are a group of people interested in active sustainable management of forest, by using various modeling and remote sensing techniques to acquire relevant information for the decision making process. Once raw data is collected, we develop, improve, or test existing algorithms to supply the needed data to develop management plans or to forecast forest dynamics. Our focus is in forest modeling, understood in a broad sense, using modern techniques, such as computer vision, fractals, or abstract algebra. The main instruments used for data acquisition are handheld lidar units and unnamed aerial systems equipped with lidar, RGB, and multispectral sensors.