Sentinel-3 SLSTR active fire detection and FRP product: Pre-launch algorithm development and performance evaluation using MODIS and ASTER datasets

Wooster, Martin J.; Xu, Weidong; Nightingale, T.

doi:10.1016/j.rse.2011.09.033

Cited by 128 publications

(85 citation statements)

References 43 publications

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“…Ichoku et al (2012) provide a recent review of this topic. EO data also provide information on the characteristics of the causal fires themselves, including "active fire" (AF) products that detail the location, timing, and FRP of the landscapescale fires occurring within the EO satellite pixels (Giglio et al, 2003;Giglio and Schroeder, 2014;Peterson et al, 2014;Wooster et al, 2012a;Roberts and Wooster, 2008). FRP is a fire characteristic that has been shown to relate quite directly to the total heat produced by the combustion process (Freeborn et al, 2008) and also to the rate of fuel consumption (Wooster et al, 2005), trace gas (Freeborn et al, 2008), and aerosol (e.g.…”

Section: Earth Observation Data Used To Support Wildfire Injection Hementioning

confidence: 99%

“…Ichoku et al, 2012) emission. Such active fire products are usually derived from thermal wavelength Earth observations (Giglio et al, 2003;Roberts and Wooster, 2008;Wooster et al, 2012a). No satellite product is yet able to derive information on plume heights at a spatial and temporal resolution than matches those of sensors used for active fire detection and smoke emission estimation, such as e.g.…”

Section: Earth Observation Data Used To Support Wildfire Injection Hementioning

confidence: 99%

“…Unfortunately, AATSR also has a bias towards low injection heights since the overpass time is similar to MISR. A wider swath instrument following on from AATSR, the Sea and Land Surface Temperature Radiometer (SLSTR), will operate from 2015 (Wooster et al, 2012a). However, this will still not provide daily stereo-data worldwide, and with a limited number of stereo-observations the continuous, direct measurement of smoke plume heights at the global scale appears to be a difficult task.…”

Section: Stereo-imagersmentioning

confidence: 99%

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A review of approaches to estimate wildfire plume injection height within large-scale atmospheric chemical transport models

et al. 2016

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Abstract. Landscape fires produce smoke containing a very wide variety of chemical species, both gases and aerosols. For larger, more intense fires that produce the greatest amounts of emissions per unit time, the smoke tends initially to be transported vertically or semi-vertically close by the source region, driven by the intense heat and convective energy released by the burning vegetation. The column of hot smoke rapidly entrains cooler ambient air, forming a rising plume within which the fire emissions are transported. The characteristics of this plume, and in particular the height to which it rises before releasing the majority of the smoke burden into the wider atmosphere, are important in terms of how the fire emissions are ultimately transported, since for example winds at different altitudes may be quite different. This difference in atmospheric transport then may also affect the longevity, chemical conversion, and fate of the plumes chemical constituents, with for example very high plume injection heights being associated with extreme long-range atmospheric transport. Here we review how such landscape-scale fire smoke plume injection heights are represented in largerscale atmospheric transport models aiming to represent the impacts of wildfire emissions on component of the Earth system. In particular we detail (i) satellite Earth observation data sets capable of being used to remotely assess wildfire plume height distributions and (ii) the driving characteristics of the causal fires. We also discuss both the physical mechanisms and dynamics taking place in fire plumes and investigate the efficiency and limitations of currently available injection height parameterizations. Finally, we conclude by suggesting some future parameterization developments and ideas on Earth observation data selection that may be relevant to the instigation of enhanced methodologies aimed at injection height representation.

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Section: Earth Observation Data Used To Support Wildfire Injection Hementioning

confidence: 99%

Section: Earth Observation Data Used To Support Wildfire Injection Hementioning

confidence: 99%

Section: Stereo-imagersmentioning

confidence: 99%

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A review of approaches to estimate wildfire plume injection height within large-scale atmospheric chemical transport models

et al. 2016

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“…The FRP data were provided at nominal 1-km spatial and 5-min temporal resolutions as a part of the MYD14/MOD14 Collection 6 MODIS fire products (Giglio and Justice, 2015a;2015b;Giglio et al, 2016). The Collection 6 FRP retrieval algorithm makes use of the difference between the 4-µm radiance of a pixel affected by fires with that of a background pixel (Wooster et al, 2012). The Collection 6 Terra MODIS fire products were validated by using reference 30-m fire maps derived from high-resolution Advanced Spaceborne Thermal Emission 15…”

Section: Fire Radiative Powermentioning

confidence: 99%

Estimation of black carbon emissions from Siberian fires using satellite observations of absorption and extinction optical depths

Konovalov¹,

Lvova²,

Beekmann³

et al. 2018

Preprint

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Abstract. Black carbon (BC) emissions from open biomass burning (BB) are known to have a considerable impact on the radiative budget of the atmosphere on global and regional scales but are poorly constrained in models by atmospheric 20 observations, especially in remote regions. Here, we investigate the feasibility of constraining BC emissions from BB with satellite observations of the aerosol absorption optical depth (AAOD) and the aerosol extinction optical depth (AOD) retrieved from OMI (Ozone monitoring instrument) and MODIS (Moderate Resolution Imaging Spectroradiometer) measurements, respectively. We consider the case of Siberian BB BC emissions, which have a strong potential to impact the Arctic climate system. Using aerosol remote sensing data collected at Siberian sites of the Aerosol Robotic Network 25 (AERONET) along with the results of the Fourth Fire Lab at Missoula Experiment (FLAME-4), we establish an empirical parameterization relating the ratio of the elemental carbon (EC) and organic carbon (OC) contents in BB aerosol to the ratio of AAOD and AOD at the wavelengths of the satellite observations. Applying this parameterization to the BC and OC column amounts simulated with the CHIMERE chemistry transport model, we optimize the parameters of the BB emission model based on MODIS measurements of the fire radiative power (FRP) and obtain top-down optimized estimates of the 30 total monthly BB BC amounts emitted from intense Siberian fires that occurred in May-September 2012. The top-down estimates are compared to the corresponding values obtained using the Global Fire Emissions Database (GFED4) and the Fire Emission Inventory-northern Eurasia (FEI-NE). Our simulations using the optimized BB aerosol emissions are verified against AAOD and AOD data that were withheld from the estimation procedure. The simulations are further evaluated against in situ EC and OC measurements at the Zotino Tall Tower Observatory (ZOTTO) and also against aerosol 35 2 measurement data collected on board of an aircraft in the framework of the Airborne Extensive Regional Observations (YAK-AEROSIB) experiments. We conclude that our BC and OC emission estimates, considered with their confidence intervals, are consistent with the ensemble of the measurement data analyzed in this study. Siberian fires are found to emit 0.41 ± 0.14 Tg of BC over the whole period of the five months considered; this estimate is a factor of 2 larger and a factor of 1.5 smaller compared to that the corresponding estimates based on the GFED4 (0.20 Tg) and FEI-NE (0.61 Tg) data, 5 respectively. Our estimates of monthly BC emissions are also found to be larger than the BC amounts calculated with the GFED4 data and smaller than those calculated with the FEI-NE data for any of the five months. Especially large positive differences of our estimates of monthly BC emissions with respect to the GFED4 data are found in May and September. This finding indicates that the GFED4 database is likely to strongly underestimate BC emissions from agricultural burns and ...

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“…Accounting for these gaps is difficult and currently somewhat ad hoc, as is accounting for possible diurnal biases when using data from both MODIS instruments, although statistical techniques have recently been explored to that end [91]. Emission estimates will ultimately continue to benefit from improved fire detection using instruments on board geostationary satellites such as GOES, Meteosat and MTSAT for combined near-global coverage [92] and with the combination of instruments such as SEVERI with instruments such as MODIS onboard polar orbiting satellites [93] and instruments with higher spatial resolution and coverage such as VIIRS [94] and the anticipated SLSTR [95]. Conversely, there is value in re-analysing older satellite data for the purpose of improving long-term estimates, as was done in [96] over Kalimantan, Indonesia, using AVHRR data from 1980 to 2000.…”

Section: Future Directions Improvements In Emissionsmentioning

confidence: 99%

Fire Influences on Atmospheric Composition, Air Quality and Climate

Voulgarakis

Field

2015

Curr Pollution Rep

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Fires impact atmospheric composition through their emissions, which range from long-lived gases to shortlived gases and aerosols. Effects are typically larger in the tropics and boreal regions but can also be substantial in highly populated areas in the northern mid-latitudes. In all regions, fire can impact air quality and health. Similarly, its effect on large-scale atmospheric processes, including regional and global atmospheric chemistry and climate forcing, can be substantial, but this remains largely unexplored. The impacts are primarily realised in the boundary layer and lower free troposphere but can also be noticeable in upper troposphere/lower stratosphere (UT/LS) region, for the most intense fires. In this review, we summarise the recent literature on findings related to fire impact on atmospheric composition, air quality and climate. We explore both observational and modelling approaches and present information on key regions and on the globe as a whole. We also discuss the current and future directions in this area of research, focusing on the major advances in emission estimates, the emerging efforts to include fire as a component in Earth system modelling and the use of modelling to assess health impacts of fire emissions.

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Sentinel-3 SLSTR active fire detection and FRP product: Pre-launch algorithm development and performance evaluation using MODIS and ASTER datasets

Cited by 128 publications

References 43 publications

A review of approaches to estimate wildfire plume injection height within large-scale atmospheric chemical transport models

A review of approaches to estimate wildfire plume injection height within large-scale atmospheric chemical transport models

Estimation of black carbon emissions from Siberian fires using satellite observations of absorption and extinction optical depths

Fire Influences on Atmospheric Composition, Air Quality and Climate

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