Developing an accounting methodology for greenhouse gas emissions reductions resulting from forest fuel treatments that is suitable for review and… Learn More
This study compared fire behavior and emissions predictions made from out-of-the-box LANDFIRE data to those made with field-based on-the-ground data.… Learn More
Spatial Informatics Group worked with the Manomet Center for Conservation Sciences to evaluate the forest carbon storage implications of several… Learn More
SIG developed a method for measuring greenhouse gas (GHG) emissions reductions resulting from implementing California Forest Practice Laws and Regulations.… Learn More
Developed a methodology that that uses scientifically based models for predicting changes in fire behavior and related emissions, both with… Learn More
SIG is working with an Interdisciplinary Science Team to assess wildfire and carbon consequences of forest silvicultural treatments associated with… Learn More