Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data
This study provides a baseline quality check on provisional Landsat Surface Reflectance (SR) products as generated by the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center using Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software. Characteriza...
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ftunivnebraskali:oai:digitalcommons.unl.edu:usgsstaffpub-1930 2023-11-12T03:59:47+01:00 Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data Maiersperger, T.K. Scaramuzza, P.L. Leigh, L. Shrestha, S. Gallo, K.P. Jenkerson, C.B. Dwyer, J.L. 2013-01-01T08:00:00Z application/pdf https://digitalcommons.unl.edu/usgsstaffpub/920 https://digitalcommons.unl.edu/context/usgsstaffpub/article/1930/viewcontent/Maiersperger_RSE_2013_Characterizing_LEDAPS_surface.pdf unknown DigitalCommons@University of Nebraska - Lincoln https://digitalcommons.unl.edu/usgsstaffpub/920 https://digitalcommons.unl.edu/context/usgsstaffpub/article/1930/viewcontent/Maiersperger_RSE_2013_Characterizing_LEDAPS_surface.pdf USGS Staff -- Published Research Landsat Reflectance LEDAPS MODIS Earth Sciences Geology Oceanography and Atmospheric Sciences and Meteorology Other Earth Sciences Other Environmental Sciences text 2013 ftunivnebraskali 2023-10-30T11:25:29Z This study provides a baseline quality check on provisional Landsat Surface Reflectance (SR) products as generated by the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center using Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software. Characterization of the Landsat SR products leveraged comparisons between aerosol optical thickness derived from LEDAPS and measured by Aerosol Robotic Network (AERONET), as well as reflectance correlations with field spectrometer and Moderate Resolution Imaging Spectroradiometer (MODIS) data. Results consistently indicated similarity between LEDAPS and alternative data products in longer wavelengths over vegetated areas with no adjacent water, while less reliable performance was observed in shorter wavelengths and sparsely vegetated areas. This study demonstrates the strengths and weaknesses of the atmospheric correction methodology used in LEDAPS, confirming its successful implementation to generate Landsat SR products. Text Aerosol Robotic Network University of Nebraska-Lincoln: DigitalCommons@UNL Eros ENVELOPE(156.457,156.457,62.260,62.260) |
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University of Nebraska-Lincoln: DigitalCommons@UNL |
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ftunivnebraskali |
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topic |
Landsat Reflectance LEDAPS MODIS Earth Sciences Geology Oceanography and Atmospheric Sciences and Meteorology Other Earth Sciences Other Environmental Sciences |
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Landsat Reflectance LEDAPS MODIS Earth Sciences Geology Oceanography and Atmospheric Sciences and Meteorology Other Earth Sciences Other Environmental Sciences Maiersperger, T.K. Scaramuzza, P.L. Leigh, L. Shrestha, S. Gallo, K.P. Jenkerson, C.B. Dwyer, J.L. Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data |
topic_facet |
Landsat Reflectance LEDAPS MODIS Earth Sciences Geology Oceanography and Atmospheric Sciences and Meteorology Other Earth Sciences Other Environmental Sciences |
description |
This study provides a baseline quality check on provisional Landsat Surface Reflectance (SR) products as generated by the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center using Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software. Characterization of the Landsat SR products leveraged comparisons between aerosol optical thickness derived from LEDAPS and measured by Aerosol Robotic Network (AERONET), as well as reflectance correlations with field spectrometer and Moderate Resolution Imaging Spectroradiometer (MODIS) data. Results consistently indicated similarity between LEDAPS and alternative data products in longer wavelengths over vegetated areas with no adjacent water, while less reliable performance was observed in shorter wavelengths and sparsely vegetated areas. This study demonstrates the strengths and weaknesses of the atmospheric correction methodology used in LEDAPS, confirming its successful implementation to generate Landsat SR products. |
format |
Text |
author |
Maiersperger, T.K. Scaramuzza, P.L. Leigh, L. Shrestha, S. Gallo, K.P. Jenkerson, C.B. Dwyer, J.L. |
author_facet |
Maiersperger, T.K. Scaramuzza, P.L. Leigh, L. Shrestha, S. Gallo, K.P. Jenkerson, C.B. Dwyer, J.L. |
author_sort |
Maiersperger, T.K. |
title |
Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data |
title_short |
Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data |
title_full |
Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data |
title_fullStr |
Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data |
title_full_unstemmed |
Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data |
title_sort |
characterizing ledaps surface reflectance products by comparisons with aeronet, field spectrometer, and modis data |
publisher |
DigitalCommons@University of Nebraska - Lincoln |
publishDate |
2013 |
url |
https://digitalcommons.unl.edu/usgsstaffpub/920 https://digitalcommons.unl.edu/context/usgsstaffpub/article/1930/viewcontent/Maiersperger_RSE_2013_Characterizing_LEDAPS_surface.pdf |
long_lat |
ENVELOPE(156.457,156.457,62.260,62.260) |
geographic |
Eros |
geographic_facet |
Eros |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
USGS Staff -- Published Research |
op_relation |
https://digitalcommons.unl.edu/usgsstaffpub/920 https://digitalcommons.unl.edu/context/usgsstaffpub/article/1930/viewcontent/Maiersperger_RSE_2013_Characterizing_LEDAPS_surface.pdf |
_version_ |
1782334524407939072 |