Early spring post-fire snow albedo dynamics in high latitude boreal forests using Landsat-8 OLI data

Remote Sensing of Environment
Zhuosen WangMiguel O Román

Abstract

Taking advantage of the improved radiometric resolution of Landsat-8 OLI which, unlike previous Landsat sensors, does not saturate over snow, the progress of fire recovery progress at the landscape scale (< 100m) is examined. High quality Landsat-8 albedo retrievals can now capture the true reflective and layered character of snow cover over a full range of land surface conditions and vegetation densities. This new capability particularly improves the assessment of post-fire vegetation dynamics across low- to high- burn severity gradients in Arctic and boreal regions in the early spring, when the albedos during recovery show the greatest variation. We use 30 m resolution Landsat-8 surface reflectances with concurrent coarser resolution (500m) MODIS high quality full inversion surface Bidirectional Reflectance Distribution Functions (BRDF) products to produce higher resolution values of surface albedo. The high resolution full expression shortwave blue sky albedo product performs well with an overall RMSE of 0.0267 between tower and satellite measures under both snow-free and snow-covered conditions. While the importance of post-fire albedo recovery can be discerned from the MODIS albedo product at regional and global scales, ou...Continue Reading

References

Nov 18, 2006·Science·J T RandersonC S Zender
Apr 11, 2007·Proceedings of the National Academy of Sciences of the United States of America·G BalaA Mirin
Nov 2, 2007·Nature·Ben Bond-LambertyStith T Gower
Apr 25, 2009·Science·David M J S BowmanStephen J Pyne
Nov 3, 2011·Nature Communications·M R TuretskyB W Benscoter

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Citations

Oct 29, 2019·Global Change Biology·Stefano PotterBrendan M Rogers
Oct 9, 2018··David RushRichard Walls

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