Early Spring Post-Fire Snow Albedo Dynamics in High Latitude Boreal Forests Using Landsat-8 OLI Data
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 (less than 100 m) is examined. High quality Landsat-8 albedo retrievals can now capture the true...
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ftnasantrs:oai:casi.ntrs.nasa.gov:20170002738 2023-05-15T13:10:39+02:00 Early Spring Post-Fire Snow Albedo Dynamics in High Latitude Boreal Forests Using Landsat-8 OLI Data Shuai, Yanmin Yang, Yun Erb, Angela M. Sun, Qingsong Liu, Yan Casey, Kimberly A. Wang, Zhuosen Roman, Miguel O. Schaaf, Crystal B. Unclassified, Unlimited, Publicly available March 8, 2016 application/pdf http://hdl.handle.net/2060/20170002738 unknown Document ID: 20170002738 http://hdl.handle.net/2060/20170002738 Copyright, Distribution as joint owner in the copyright CASI Earth Resources and Remote Sensing GSFC-E-DAA-TN40794 Remote Sensing of Environment (ISSN 0034-4257); 185; 71-83 2016 ftnasantrs 2019-07-20T23:36:59Z 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 (less than 100 m) 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 (500 m) 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, our study addresses the particular importance of early spring post-fire albedo recovery at the landscape scale by considering the significant spatial heterogeneity of burn severity, and the impact of snow on the early spring albedo of various vegetation recovery types. We found that variations in early spring albedo within a single MODIS gridded pixel can be larger than 0.6. Since the frequency and severity of wildfires in Arctic and boreal systems is expected to increase in the coming decades, the dynamics of albedo in response to these rapid surface changes will increasingly impact the energy balance and contribute to other climate processes and physical feedback mechanisms. Surface radiation products derived from Landsat-8 data will thus play an important role in characterizing the carbon cycle and ecosystem processes of high latitude systems. Other/Unknown Material albedo Arctic NASA Technical Reports Server (NTRS) Arctic |
institution |
Open Polar |
collection |
NASA Technical Reports Server (NTRS) |
op_collection_id |
ftnasantrs |
language |
unknown |
topic |
Earth Resources and Remote Sensing |
spellingShingle |
Earth Resources and Remote Sensing Shuai, Yanmin Yang, Yun Erb, Angela M. Sun, Qingsong Liu, Yan Casey, Kimberly A. Wang, Zhuosen Roman, Miguel O. Schaaf, Crystal B. Early Spring Post-Fire Snow Albedo Dynamics in High Latitude Boreal Forests Using Landsat-8 OLI Data |
topic_facet |
Earth Resources and Remote Sensing |
description |
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 (less than 100 m) 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 (500 m) 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, our study addresses the particular importance of early spring post-fire albedo recovery at the landscape scale by considering the significant spatial heterogeneity of burn severity, and the impact of snow on the early spring albedo of various vegetation recovery types. We found that variations in early spring albedo within a single MODIS gridded pixel can be larger than 0.6. Since the frequency and severity of wildfires in Arctic and boreal systems is expected to increase in the coming decades, the dynamics of albedo in response to these rapid surface changes will increasingly impact the energy balance and contribute to other climate processes and physical feedback mechanisms. Surface radiation products derived from Landsat-8 data will thus play an important role in characterizing the carbon cycle and ecosystem processes of high latitude systems. |
format |
Other/Unknown Material |
author |
Shuai, Yanmin Yang, Yun Erb, Angela M. Sun, Qingsong Liu, Yan Casey, Kimberly A. Wang, Zhuosen Roman, Miguel O. Schaaf, Crystal B. |
author_facet |
Shuai, Yanmin Yang, Yun Erb, Angela M. Sun, Qingsong Liu, Yan Casey, Kimberly A. Wang, Zhuosen Roman, Miguel O. Schaaf, Crystal B. |
author_sort |
Shuai, Yanmin |
title |
Early Spring Post-Fire Snow Albedo Dynamics in High Latitude Boreal Forests Using Landsat-8 OLI Data |
title_short |
Early Spring Post-Fire Snow Albedo Dynamics in High Latitude Boreal Forests Using Landsat-8 OLI Data |
title_full |
Early Spring Post-Fire Snow Albedo Dynamics in High Latitude Boreal Forests Using Landsat-8 OLI Data |
title_fullStr |
Early Spring Post-Fire Snow Albedo Dynamics in High Latitude Boreal Forests Using Landsat-8 OLI Data |
title_full_unstemmed |
Early Spring Post-Fire Snow Albedo Dynamics in High Latitude Boreal Forests Using Landsat-8 OLI Data |
title_sort |
early spring post-fire snow albedo dynamics in high latitude boreal forests using landsat-8 oli data |
publishDate |
2016 |
url |
http://hdl.handle.net/2060/20170002738 |
op_coverage |
Unclassified, Unlimited, Publicly available |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic |
genre_facet |
albedo Arctic |
op_source |
CASI |
op_relation |
Document ID: 20170002738 http://hdl.handle.net/2060/20170002738 |
op_rights |
Copyright, Distribution as joint owner in the copyright |
_version_ |
1766237902690320384 |