Pyregence Webinar Series

Pyregence Webinar Series

Please join us as Dr. Chris Lautenberger presents the latest features and functions of the PyreCast near-term fire forecasting platform developed as part of the California Energy Commission EPIC program funded Pyregence Project (#EPC-18-026).

Approved: SIG’s Methodology For Estimating Reduced Emissions From Megaffires

Reduced Emissions From Megaffires

In March, the Climate Action Reserve’s Climate Forward program approved SIG’s Reduced Emissions from Megafires (REM) forecasting methodology. This methodology provides a novel mechanism for funding essential forest health projects by generating Forecasted Mitigation Units (FMUs) for greenhouse gas (GHG) emissions avoided by reducing the risk of catastrophic wildfires. Such funding will pave the way for reducing fuels and increasing forest resilience.

SIG Presents LiDAR Based Projects In Tahoe

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.

For Indonesia’s Wildfires, There Are No Easy Solutions

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.

Pyregence Launches New Forecasting Tool For Tracking Active Fire Spread

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.

Predicting The Future Of Wildfires? It’s Complicated

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.

Assessing Extreme Fire Risk In California

Assessing Extreme Fire Risk In California

Some California fires were ignited by power lines and communication facilities downed by Santa Ana winds. In response, the California Public Utilities Commission needed accurate fire threat maps to address ignition dangers from electrical infrastructure.