Skip to main content

Displaying 1 - 2 of 2

Biomass burning constitutes a major contribution to global emissions of carbon dioxide, carbon monoxide, methane, greenhouse gases and aerosols. Furthermore, biomass burning has an impact on health, transport, the environment and land use. Vegetation fires are certainly not…
Person:
Year: 2004
Type: Document
Source: TTRS
Topic(s): Climate, Communications, Emissions and Smoke, Fire Behavior, Fire Ecology, Fire Effects, Fire Occurrence, Intelligence, Mapping, Monitoring and Inventory
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: aerosols, Africa, air quality, Asia, biomass, Canada, carbon dioxide, CO - carbon monoxide, Central America, ecosystem dynamics, Europe, fire frequency, fire management, human caused fires, Italy, land use, CH4 - methane, natural areas management, nutrient cycling, Portugal, remote sensing, Russia, season of fire, statistical analysis, United Kingdom, vegetation surveys, wildfires

The Fire Monitoring, Mapping and Modelling System (Fire M3) is an initiative of the Canada Centre for Remote Sensing (CCRS) and the Canadian Forest Service (CFS), both agencies of Natural Resources Canada. The goals of Fire M3 are to use low-resolution satellite imagery to…
Person:
Year: 2004
Type: Document
Source: TTRS
Topic(s): Administration, Communications, Emissions and Smoke, Fire Behavior, Fire Ecology, Fire History, Hazard and Risk, Intelligence, Mapping, Models, Monitoring and Inventory, Planning, Weather
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: biomass, boreal forests, Canada, C - carbon, catastrophic fires, computer programs, distribution, fire control, fire danger rating, fire size, GIS - geographic information system, habitat types, Ontario, Quebec, remote sensing, Saskatchewan, season of fire, smoke behavior, smoke management, statistical analysis, boreal forest, fire monitoring, hotspots