Smoke emissions have long been quantified after-the-fact by simple multiplication of burned area, biomass density, fraction of above-ground biomass, and burn efficiency. A new algorithm has been suggested, as described in Ichoku & Kaufman (2005), for use in calculating smoke emissions directly from fire radiative power (FRP) measurements such that the latency and uncertainty associated with the previously listed variables are avoided. Application of this new, simpler and more direct algorithm is automatic, based only on a fire's FRP measurement and a predetermined coefficient of smoke emission for a given location. Attaining accurate coefficients of smoke emission is therefore critical to the success of this algorithm. In the aforementioned...
Studies of emission factors from biomass burning using aircraft data complement the results of lab s...
For over two decades, satellite sensors have provided the locations of global fire activity with eve...
Previous studies of emission factors from biomass burning are prone to large errors since they ignor...
A new emissions inventory of particulate matter (PM) is being derived mainly from remote sensing dat...
Satellite remote sensing is providing us tremendous opportunities to measure the fire radiative ener...
Fire emissions estimates have long been based on bottom-up approaches that are not only complex, but...
Satellite remote sensing is providing us tremendous opportunities to measure the fire radiative ener...
The Global Fire Assimilation System (GFASv1.0) calculates biomass burning emissions by assimilating ...
For over two decades, satellite sensors have provided the locations of global fire activity with eve...
Developed as a quantitative measurement of fire intensity, fire radiative power (FRP) and the potent...
Estimates of wildfire aerosol and trace gas emissions are most commonly derived from assessments of ...
Instantaneous estimates of the power released by a fire (Fire Radiative Power, FRP) are available wi...
NOAA/NESDIS developed a new algorithm to derive biomass burning emissions of PM2.5 from remotely sen...
Largely used in several independent estimates of fire emissions, fire products based on MODIS sensor...
Biomass burning is an important global phenomenon affecting atmospheric composition with significant...
Studies of emission factors from biomass burning using aircraft data complement the results of lab s...
For over two decades, satellite sensors have provided the locations of global fire activity with eve...
Previous studies of emission factors from biomass burning are prone to large errors since they ignor...
A new emissions inventory of particulate matter (PM) is being derived mainly from remote sensing dat...
Satellite remote sensing is providing us tremendous opportunities to measure the fire radiative ener...
Fire emissions estimates have long been based on bottom-up approaches that are not only complex, but...
Satellite remote sensing is providing us tremendous opportunities to measure the fire radiative ener...
The Global Fire Assimilation System (GFASv1.0) calculates biomass burning emissions by assimilating ...
For over two decades, satellite sensors have provided the locations of global fire activity with eve...
Developed as a quantitative measurement of fire intensity, fire radiative power (FRP) and the potent...
Estimates of wildfire aerosol and trace gas emissions are most commonly derived from assessments of ...
Instantaneous estimates of the power released by a fire (Fire Radiative Power, FRP) are available wi...
NOAA/NESDIS developed a new algorithm to derive biomass burning emissions of PM2.5 from remotely sen...
Largely used in several independent estimates of fire emissions, fire products based on MODIS sensor...
Biomass burning is an important global phenomenon affecting atmospheric composition with significant...
Studies of emission factors from biomass burning using aircraft data complement the results of lab s...
For over two decades, satellite sensors have provided the locations of global fire activity with eve...
Previous studies of emission factors from biomass burning are prone to large errors since they ignor...