Planning And Implementing Fuel Treatments To Reduce Fire Hazard And Restore Healthy Wildlands And Forest Communities
California landowners, land managers, and planners are acutely aware of their region’s exposure to wildfire and its associated hazards. Local, state, and federal efforts to moderate fire behavior with fuel treatments have dramatically expanded as wildfires have increased in size, severity, and community impacts.
Cultivating Success: Cambodia’s Crop Mapping Powered By Tensorflow And Google Earth Engine
To ensure that the initiatives developed adequately addressed Cambodia’s needs, SIG teams worked closely with the Cambodian Department of Agriculture and Land Resource Management (DALRM), identifying gaps in the existing data and developing a remote sensing-based approach to improve existing methods of crop mapping.
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
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 And SIG-NALS Latest Newsletter Is Online
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.
Pinchot Institute Works With SIG
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 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.
Financing Energy Transformation At The Subnational Level In Latin America
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.
Wildfire Most Important Factor In Carbon-Payback Period For Forest Biomass Energy Projects
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.
Carbon Dioxide Emissions Calculations For Forest Biomass Energy Projects Are Dependent Upon Regionally-Specific Conditions
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.
