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Spatial variability of the atmosphere across southern England and the resulting error in assuming a uniform atmospheric correction

Spatial variability of the atmosphere across southern England and the resulting error in assuming a uniform atmospheric correction
Spatial variability of the atmosphere across southern England and the resulting error in assuming a uniform atmospheric correction
There is an increasing trend towards the use of large-swath satellite sensors, such as those on the Disaster Monitoring Constellation (DMC), for monitoring environmental change due to their significant advantages over systems such as Landsat. Before imagery can be used quantitatively it must undergo atmospheric correction, where most techniques assume a uniform atmosphere across the image – an assumption that is likely to be invalid for 600km wide images from DMC. To assess the significance of the error caused by this assumption, spatial variability over southern England on a clear day is assessed from a number of data sources and the results are used in simulations with the 6S Radiative Transfer Model to examine the effects on NDVI, and Net Primary Productivity values calculated from these NDVI data using the CASA ecosystem model.
Results show that the AOT variation during the study period was approximately 0.1-0.5 and that this could cause an error in NDVI of 2.9-4.5%. A conservative estimate of the error in NPP values which could be caused by this over southern England is 7.6Mt C, or 3%. Further work should focus on spatially-variable atmospheric correction techniques.
Wilson, R.T.
356d52b6-8aa7-4a45-8e21-981bd3769134
Milton, E.J.
f6cb5c0d-a5d4-47d7-860f-096de08e0c24
Nield, Joanna M.
173be2c5-b953-481a-abc4-c095e5e4b790
Wilson, R.T.
356d52b6-8aa7-4a45-8e21-981bd3769134
Milton, E.J.
f6cb5c0d-a5d4-47d7-860f-096de08e0c24
Nield, Joanna M.
173be2c5-b953-481a-abc4-c095e5e4b790

Wilson, R.T., Milton, E.J. and Nield, Joanna M. (2012) Spatial variability of the atmosphere across southern England and the resulting error in assuming a uniform atmospheric correction. Remote Sensing and Photogrammetry Society Conference 2012, Greenwich, London Borough of, United Kingdom. 12 - 14 Sep 2012.

Record type: Conference or Workshop Item (Paper)

Abstract

There is an increasing trend towards the use of large-swath satellite sensors, such as those on the Disaster Monitoring Constellation (DMC), for monitoring environmental change due to their significant advantages over systems such as Landsat. Before imagery can be used quantitatively it must undergo atmospheric correction, where most techniques assume a uniform atmosphere across the image – an assumption that is likely to be invalid for 600km wide images from DMC. To assess the significance of the error caused by this assumption, spatial variability over southern England on a clear day is assessed from a number of data sources and the results are used in simulations with the 6S Radiative Transfer Model to examine the effects on NDVI, and Net Primary Productivity values calculated from these NDVI data using the CASA ecosystem model.
Results show that the AOT variation during the study period was approximately 0.1-0.5 and that this could cause an error in NDVI of 2.9-4.5%. A conservative estimate of the error in NPP values which could be caused by this over southern England is 7.6Mt C, or 3%. Further work should focus on spatially-variable atmospheric correction techniques.

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More information

e-pub ahead of print date: 2012
Venue - Dates: Remote Sensing and Photogrammetry Society Conference 2012, Greenwich, London Borough of, United Kingdom, 2012-09-12 - 2012-09-14
Organisations: Global Env Change & Earth Observation

Identifiers

Local EPrints ID: 342983
URI: http://eprints.soton.ac.uk/id/eprint/342983
PURE UUID: 4190c9dd-b6be-4f81-8f6e-fc8a88b42f36
ORCID for Joanna M. Nield: ORCID iD orcid.org/0000-0002-2657-0525

Catalogue record

Date deposited: 19 Sep 2012 13:59
Last modified: 15 Mar 2024 03:29

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Contributors

Author: R.T. Wilson
Author: E.J. Milton
Author: Joanna M. Nield ORCID iD

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