CruiseBoost yields the most improvement at large scales, of about 5,000 acres or more. Please contact us for a quote or to discuss how our team can best support your inventory work.

Because different sizes and species of trees are differentiated better by certain types of remotely sensed imagery, we use a variety of satellite imagery in the CruiseBoost model building and prediction process. Some of the data sources we use regularly are Landsat-8, Sentinel 1 & 2, NAIP, and SRTM. In cases where other types of useful imagery are available (e.g. LiDAR, hyperspectral, etc.), we're able to incorporate those images to achieve even greater efficiencies.

CruiseBoost has been rigorously tested in forests all across the United States. The quality of estimates is readily assessed through a "bootstrapping" approach where plot measurements are iteratively dropped from the process, predictive models are rebuilt, estimates are then made for and compared to the excluded plots.