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Recent advances of the fire_cci Project

Emilio Chuvieco on behalf of the fire_cci consortium

Click to edit Master title stylePhase 1 final steps

• New processing cycle (v2 to v3) of VGT and MERIS: done.

• Validation & Error characterization in progress.• Merging in progress.• Climate assessment report in progress.

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DoY

Day of the Year of BA detection MERIS (2008) v2

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Day of the Year of BA detection MERIS (2008) v3

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Day of the Year of BA detection MERIS (2008) v2 / v3

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Day of the Year of BA detection MERIS (2008) v3

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Day of the Year of BA detection VGT (2008) v3

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Day of the Year of BA detection VGT (2008) v3

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DoY

Day of the Year of BA detection MERIS (2008) v3

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Burned Area

Gridded Burned Areas fromVGT (2008) v3

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Burned Area

Gridded Burned Areas fromMERIS (2008) v3

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Burned Area

Gridded Burned Areas fromGFED (2008) v3

Click to edit Master title styleBA in different products(2006-2008)

GFED VGT MERIS MCD45

2006 3418690 2374032 3650268 3372924

2007 3661888 2239012 3772086 3522453

2008 3296434 2228610 3623277 3307390

Click to edit Master title styleGrid level comparisonAverage annual BA (2006-2008)

Click to edit Master title styleGrid level comparisonAverage annual BA (2006-2008)

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Burned Area

Differences GFED3-VGT (2008)

Only for differences ± 10%

GFED-VGT % of BA

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Burned Area

Differences GFED3-MERIS (2008)

Only for differences ± 10%

Click to edit Master title styleBA in different biomes and products (2008)

ECOREGION GFED VGT MERIS MCD45AUST 266319 169482 223018 240141BOAS 120490 455767 106510 132766BONA 14465 142751 6350 8036CEAM 11648 33654 16153 14252CEAS 139938 191662 171311 210543EQAS 4239 19830 6068 1505EURO 5367 41641 12624 15727MIDE 6036 32162 6945 5010NHAF 1176668 257278 1275054 1195738NHSA 17754 34455 24726 6379SEAS 69744 82553 99912 70929SHAF 1315416 502814 1473301 1226237SHSA 133827 144701 188187 162230TENA 14524 119860 13118 17897GLOBAL 3296434 2228610 3623277 3307390

Click to edit Master title styleBA in different biomes and products (2008)

0 500000 1000000 1500000 20000000

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f(x) = 0.906126192767274 x + 949.14202949949R² = 0.996883251980508

MERIS

GFED

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f(x) = 0.873745432824028 x + 10112.0362726632R² = 0.992671079611302

MERIS

MCD

45

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f(x) = 0.217457515748328 x + 102907.23097232R² = 0.463851536264217

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VGT

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f(x) = 1.0321665507526 x − 8381.67097026622R² = 0.994788968265378

MCD45

GFED

3

Click to edit Master title styleGlobal accuracy (2008)

Product OA(%) Ce(%) Oe(%) DC(%) B(%) relB(%)

MCD64 99.6 (0.1) 43 67 42 -0.18 (0.06) -43 (7)

MCD45 99.7 (0.1) 46 72 37 -0.16 (0.05) -47 (8)

fire_cci_MERIS 99.6 (0.1) 64 77 28 -0.12 (0.04) -35 (12)

fire_cci_VGT 99.2 (0.2) 94 93 6 0.02 (0.22) 5 (55)

Click to edit Master title styleSpatial variation of accuracy (2008)

Click to edit Master title styleUncertainty characterization: Monthly confidence level (%)

Click to edit Master title styleComparison of v2 and v3

• VGT improves commission errors of v2, but still large omission errors.

• MERIS reduces sparse commission errors. BA trends very consistent with external sources.

Click to edit Master title styleMerging phase progress

• New processing code to improve performance.• Includes mixing the sensors + PSD compliance.

# BA patches

Click to edit Master title styleMerging phase progress

• New processing code to improve performance.• Includes mixing the sensors + PSD compliance.

% Non-observed area

Click to edit Master title styleMerging phase progress

• New processing code to improve performance.• Includes mixing the sensors + PSD compliance.

BA in LC 9

Click to edit Master title styleDevelopments for Phase 2

• Generation of long time series of global BA datasets.

• Adapt BA algorithms to Sentinel-3 and 2.• Relate BA trends to other CCI variables:– Aerosols.– GHG.– Land cover.– Soil moisture

Click to edit Master title stylePapers• Hantson, S., Padilla, M., Corti, D., & Chuvieco, E. (2013). Strengths and weaknesses of MODIS

hotspots to characterize global fire occurrence. Remote Sensing of Environment, 131, 152-159.

• Mouillot, F., Schultz, M.G., Yue, C., Cadule, P., Tansey, K., Ciais, P., & Chuvieco, E. (2014). Ten years of global burned area products from spaceborne remote sensing—A review: Analysis of user needs and recommendations for future developments. International Journal of Applied Earth Observation and Geoinformation, 26, 64-79.

• Padilla, M., Stehman, S.V., & Chuvieco, E. (2014a). Validation of the 2008 MODIS-MCD45 global burned area product using stratified random sampling. Remote Sensing of Environment, 144, 187-196.

• Padilla, M., Stehman, S.V., Litago, J., & Chuvieco, E. (2014b). Assessing the Temporal Stability of the Accuracy of a Time Series of Burned Area Products. Remote Sensing, 6, 2050-2068.

• Yue, C., Ciais, P., Luyssaert, S., Cadule, P., Harden, J., Randerson, J., Bellassen, V., Wang, T., Piao, S. L., Poulter, B., and Viovy, N. (2013): Simulating boreal forest carbon dynamics after stand-replacing fire disturbance: insights from a global process-based vegetation model, Biogeosciences, 10, 8233-8252, doi:10.5194/bg-10-8233-2013,.

• Yue, C., Ciais, P., Cadule, P., Thonicke, K., Archibald, S., Poulter, B., Hao, W. M., Hantson, S., Mouillot, F., Friedlingstein, P., Maignan, F., and Viovy, N. (2014): Modelling fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 1: Simulating historical global burned area and fire regime, Geosci. Model Dev. Discuss., 7, 2377-2427, doi:10.5194/gmdd-7-2377-2014.