Presentation Information
[U06-P05]Explotation of the Surface Biology and Geology (SBG) mission to improve wildfire characterization with focus on Fire Radiative Power (FRP) retrievals.
Explotation of the Surface Biology and Geology (SBG) mission to improve wildfire characterization with focus on Fire Radiative Power (FRP) retrievals
*Stefania Amici1, Bernardo Mota2 (1.Istituto Nazionale di Geofisica e Vulcanologia (INGV), 2.National Physical Laboratory (NPL))
Keywords:
Fire Radiative Power,Wildfires,SBG,MASTER
Wildfires have significant environmental effects at both local and large scales, influencing both the Earth's surface and atmosphere (e.g., through the release of greenhouse gases and aerosols). Because they occur unpredictably and globally, remote sensing from space is a key measurement technique that can provide valuable information to characterize active wildfires.
The use of multispectral satellite sensors has been employed since 1980 (AVHRR) to detect active fires and characterize features such as fire temperature, fireline, effective fire area, and Fire Radiative Power (FRP). Among these spectral bands, the Middle-Infrared (MIR) is the spectral range where the fire signal is significantly higher than the background and provides a direct method to retrieve FRP without requiring knowledge of the fire temperature. FRP is defined as the rate of radiant heat energy emitted by burning fires within a pixel at the time of observation, and is expressed in units of power (MW). FRP has been used as a proxy for fire intensity to characterize fire severity and, as it is related to the combustion rate and biomass consumed, it has also been used to estimate GHG emissions from biomass burning.
However, current agency operated polar and geostationary satellites and their processing systems can only provide L2 products with average minimum spatial resolution of 4 km2 and 1 km2, respectively.
In this work we developed an FRP retrieval algorithm fitted for the Surface Biology and Geology (SBG) mission. SBG is a MIR and TIR (60 m) sensor with a VIS camera that allows for FRP retrievals with greater spatial detail and facilitates scaling with more frequently available products from coarser resolution sensors.
Specifically, the proposed FRP retrieval algorithm (FRPSBG) is based on the MIR method providing estimates less prone to errors and reduced uncertainty effects, making it suitable for wildfires monitoring and cal/val activities.spatial detail and facilitates scaling with more frequently available products from coarser resolution sensors.
In this study, data acquired by MODIS/ASTER (MASTER) airborne simulator are used to simulate spatially and spectrally data according to the Orbiting Terrestrial Thermal Emission Radiometer (OTTER) sensor specifics. The MASTER imagery is a daytime acquisition of a small fire burning on 26 October 2923 near the Shaver Lake in California, USA. acquired as part of the FireSense23 Campaign The plane was flying at an altitude of 6243m (MSL) with a MASTER spatial resolution of about 15m. The scene contains the fire with its smoke plume, few clouds are limited to the south part of the imagery (Figure1).
Subsequently, this data is used to identify ACTIVE FIRES pixels and retrieve the FRP estimates that will be compared with FRP retrievals from Geostationary and polar satellites in the near simultaneous conditions.
The use of multispectral satellite sensors has been employed since 1980 (AVHRR) to detect active fires and characterize features such as fire temperature, fireline, effective fire area, and Fire Radiative Power (FRP). Among these spectral bands, the Middle-Infrared (MIR) is the spectral range where the fire signal is significantly higher than the background and provides a direct method to retrieve FRP without requiring knowledge of the fire temperature. FRP is defined as the rate of radiant heat energy emitted by burning fires within a pixel at the time of observation, and is expressed in units of power (MW). FRP has been used as a proxy for fire intensity to characterize fire severity and, as it is related to the combustion rate and biomass consumed, it has also been used to estimate GHG emissions from biomass burning.
However, current agency operated polar and geostationary satellites and their processing systems can only provide L2 products with average minimum spatial resolution of 4 km2 and 1 km2, respectively.
In this work we developed an FRP retrieval algorithm fitted for the Surface Biology and Geology (SBG) mission. SBG is a MIR and TIR (60 m) sensor with a VIS camera that allows for FRP retrievals with greater spatial detail and facilitates scaling with more frequently available products from coarser resolution sensors.
Specifically, the proposed FRP retrieval algorithm (FRPSBG) is based on the MIR method providing estimates less prone to errors and reduced uncertainty effects, making it suitable for wildfires monitoring and cal/val activities.spatial detail and facilitates scaling with more frequently available products from coarser resolution sensors.
In this study, data acquired by MODIS/ASTER (MASTER) airborne simulator are used to simulate spatially and spectrally data according to the Orbiting Terrestrial Thermal Emission Radiometer (OTTER) sensor specifics. The MASTER imagery is a daytime acquisition of a small fire burning on 26 October 2923 near the Shaver Lake in California, USA. acquired as part of the FireSense23 Campaign The plane was flying at an altitude of 6243m (MSL) with a MASTER spatial resolution of about 15m. The scene contains the fire with its smoke plume, few clouds are limited to the south part of the imagery (Figure1).
Subsequently, this data is used to identify ACTIVE FIRES pixels and retrieve the FRP estimates that will be compared with FRP retrievals from Geostationary and polar satellites in the near simultaneous conditions.