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.

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.

SIG Works With Google And Other Partners On New Tools That Democratize Offline Mapping

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.

Eastern Sierra Climate & Community Resilience Project

Eastern Sierra Climate & Community Resilience Project

the USDA Forest Service, specifically the Inyo National Forest, along with numerous state and local governments and NGOs. SIG was hired to assist with ESCCRP because of our scientific and operational experience and expertise in fire modeling, land restoration, and maintenance.

Monitoring Severely Burned Redwood Forest

Monitoring Severely Burned Redwood Forest

Save the Redwoods turned to Spatial Informatics Group (SIG) for their expertise in data collection, wildfire modeling, and remote sensing. SIG created a post-fire monitoring plan to quantify the fire’s effects and track recovery after the CZU Lightning Complex fires.

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.