SIG Participates In The 6th International Wildland Fire Conference, Pyeongchang, Korea

Machine Learning in CoMiMo

SIG co-developed software to remotely monitor gold mining activity in Colombia. Illegal mining is a driver of deforestation and this project aims to empower authorities to respond quickly and appropriately. CoMiMo, which is available for desktop in both English and Spanish, uses satellite imagery and artificial intelligence to identify threatened areas.

Community Wildfire Risk Mitigation Assessment

Community Wildfire Risk Mitigation Assessment

Forests in California are increasingly vulnerable to wildfires. Not only have climate change and past forest management practices created very favorable conditions for fires, but increasing human settlement of the wildland-urban interface and intermix (WUI) has dramatically increased the stakes.

Modeling Fire Resiliency from Landscape-scale Fuel Treatments

Modeling Fire Resiliency

Wood pellets have been hailed as a carbon neutral form of energy, especially in Europe, where pellets are being used to satisfy Paris Agreement requirements to reduce carbon emissions. However, pellet production can result in additional biomass harvests that reduce the amount of carbon stored in forests.