Approved: SIG’s Methodology For Estimating 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
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
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.
Fire Factor
As part of the Pyregence Consortium, Spatial Informatics Group partnered with the risk analysis firm First Street Foundation to create a property-level wildfire risk model for every property in the conterminous United States. The First Street Foundation Wildfire Model (FSF-WFM) is the first national, climate-adjusted, property-specific wildfire risk assessment in America. FSF-WFM informs Fire Factor, First Street Foundation’s fire risk data product.
