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Article: Accuracy assessment of the MODIS 16-day albedo product for snow: Comparisons with Greenland in situ measurements
Title | Accuracy assessment of the MODIS 16-day albedo product for snow: Comparisons with Greenland in situ measurements |
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Authors | |
Keywords | Greenland MODIS Snow |
Issue Date | 2005 |
Citation | Remote Sensing of Environment, 2005, v. 94, n. 1, p. 46-60 How to Cite? |
Abstract | The accuracy of the Moderate Resolution Imaging Spectroradiometer (MODIS) 16-day albedo product (MOD43) is assessed using ground-based albedo observations from automatic weather stations (AWS) over spatially homogeneous snow and semihomogeneous ice-covered surfaces on the Greenland ice sheet. Data from 16 AWS locations, spanning the years 2000-2003, were used for this assessment. In situ reflected shortwave data were corrected for a systematic positive spectral sensitivity bias of between 0.01 and 0.09 on a site-by-site basis using precise optical black radiometer data. Results indicate that the MOD43 albedo product retrieves snow albedo with an average root mean square error (RMSE) of ±0.07 as compared to the station measurements, which have ±0.035 RMSE uncertainty. If we eliminate all satellite retrievals that rely on the backup algorithm and consider only the highest quality results from the primary bidirectional reflectance distribution function (BRDF) algorithm, the MODIS albedo RMSE is ±0.04, slightly larger than the in situ measurement uncertainty. There is general agreement between MODIS and in situ observations for albedo <0.7, while near the upper limit, a -0.05 MODIS albedo bias is evident from the scatter of the 16-site composite. © 2004 Elsevier Inc. All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/322014 |
ISSN | 2023 Impact Factor: 11.1 2023 SCImago Journal Rankings: 4.310 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Stroeve, Julienne | - |
dc.contributor.author | Box, Jason E. | - |
dc.contributor.author | Gao, Feng | - |
dc.contributor.author | Liang, Shunlin | - |
dc.contributor.author | Nolin, Anne | - |
dc.contributor.author | Schaaf, Crystal | - |
dc.date.accessioned | 2022-11-03T02:23:01Z | - |
dc.date.available | 2022-11-03T02:23:01Z | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | Remote Sensing of Environment, 2005, v. 94, n. 1, p. 46-60 | - |
dc.identifier.issn | 0034-4257 | - |
dc.identifier.uri | http://hdl.handle.net/10722/322014 | - |
dc.description.abstract | The accuracy of the Moderate Resolution Imaging Spectroradiometer (MODIS) 16-day albedo product (MOD43) is assessed using ground-based albedo observations from automatic weather stations (AWS) over spatially homogeneous snow and semihomogeneous ice-covered surfaces on the Greenland ice sheet. Data from 16 AWS locations, spanning the years 2000-2003, were used for this assessment. In situ reflected shortwave data were corrected for a systematic positive spectral sensitivity bias of between 0.01 and 0.09 on a site-by-site basis using precise optical black radiometer data. Results indicate that the MOD43 albedo product retrieves snow albedo with an average root mean square error (RMSE) of ±0.07 as compared to the station measurements, which have ±0.035 RMSE uncertainty. If we eliminate all satellite retrievals that rely on the backup algorithm and consider only the highest quality results from the primary bidirectional reflectance distribution function (BRDF) algorithm, the MODIS albedo RMSE is ±0.04, slightly larger than the in situ measurement uncertainty. There is general agreement between MODIS and in situ observations for albedo <0.7, while near the upper limit, a -0.05 MODIS albedo bias is evident from the scatter of the 16-site composite. © 2004 Elsevier Inc. All rights reserved. | - |
dc.language | eng | - |
dc.relation.ispartof | Remote Sensing of Environment | - |
dc.subject | Greenland | - |
dc.subject | MODIS | - |
dc.subject | Snow | - |
dc.title | Accuracy assessment of the MODIS 16-day albedo product for snow: Comparisons with Greenland in situ measurements | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.rse.2004.09.001 | - |
dc.identifier.scopus | eid_2-s2.0-8844281951 | - |
dc.identifier.volume | 94 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 46 | - |
dc.identifier.epage | 60 | - |
dc.identifier.isi | WOS:000226270500005 | - |