An error and sensitivity analysis of atmospheric resistant vegetation indices derived from dark target-based atmospheric correction

Miura, T; Huete, AR; Yoshioka, H; Holben, BN

An error and sensitivity analysis of atmospheric resistant vegetation indices derived from dark target-based atmospheric correction

Miura, T Huete, AR

Yoshioka, H Holben, BN

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Publication Type:: Journal Article
Citation:: Remote Sensing of Environment, 2001, 78 (3), pp. 284 - 298
Issue Date:: 2001-12-01

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Field	Value	Language
dc.contributor.author	Miura, T	en_US
dc.contributor.author	Huete, AR https://orcid.org/0000-0003-2809-2376	en_US
dc.contributor.author	Yoshioka, H	en_US
dc.contributor.author	Holben, BN	en_US
dc.date.issued	2001-12-01	en_US
dc.identifier.citation	Remote Sensing of Environment, 2001, 78 (3), pp. 284 - 298	en_US
dc.identifier.issn	0034-4257	en_US
dc.identifier.uri	http://hdl.handle.net/10453/8578
dc.description.abstract	An error and sensitivity analysis was conducted to investigate the capabilities of the atmospheric resistant vegetation indices (VIs) for minimizing "residual aerosol" effects. The residual aerosol effects result from the assumptions and characteristics of the dark target (DT) approach used to estimate aerosol optical properties in the atmospheric correction scheme (referred to as the dark target-based atmospheric correction, DTAC). The performances of two atmospheric resistant VIs, the atmospherically resistant vegetation index (ARVI) and enhanced vegetation index (EVI), were evaluated and compared with the normalized difference vegetation index (NDVI) and soil adjusted vegetation index (SAVI). The atmospheric resistant Vis successfully minimized the residual aerosol effects, resulting in a 60% reduction of the errors from the NDVI and SAVI when a proper aerosol model was used for the estimation and correction of aerosol effects. The reductions were greater for thicker aerosol atmosphere (larger aerosol optical thickness, AOT). The atmospheric resistant VIs, however, resulted in having larger bias errors than the NDVI and SAVI when an improper aerosol model was used. The application of atmospheric resistant VIs to the DTAC-derived surface reflectances is exactly what is being carried out by the Moderate Resolution Imaging Spectroradiometer (MODIS) VI algorithm. These results raise several issues for the effective, operational use of the DTAC algorithm and atmospheric resistant VIs, which are addressed in this paper. © 2001 Elsevier Science Inc. All rights reserved.	en_US
dc.relation.ispartof	Remote Sensing of Environment	en_US
dc.relation.isbasedon	10.1016/S0034-4257(01)00223-1	en_US
dc.subject.classification	Geological & Geomatics Engineering	en_US
dc.title	An error and sensitivity analysis of atmospheric resistant vegetation indices derived from dark target-based atmospheric correction	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	78	en_US
utslib.for	05 Environmental Sciences	en_US
utslib.for	0406 Physical Geography and Environmental Geoscience	en_US
utslib.for	0909 Geomatic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	78	en_US

Abstract:

An error and sensitivity analysis was conducted to investigate the capabilities of the atmospheric resistant vegetation indices (VIs) for minimizing "residual aerosol" effects. The residual aerosol effects result from the assumptions and characteristics of the dark target (DT) approach used to estimate aerosol optical properties in the atmospheric correction scheme (referred to as the dark target-based atmospheric correction, DTAC). The performances of two atmospheric resistant VIs, the atmospherically resistant vegetation index (ARVI) and enhanced vegetation index (EVI), were evaluated and compared with the normalized difference vegetation index (NDVI) and soil adjusted vegetation index (SAVI). The atmospheric resistant Vis successfully minimized the residual aerosol effects, resulting in a 60% reduction of the errors from the NDVI and SAVI when a proper aerosol model was used for the estimation and correction of aerosol effects. The reductions were greater for thicker aerosol atmosphere (larger aerosol optical thickness, AOT). The atmospheric resistant VIs, however, resulted in having larger bias errors than the NDVI and SAVI when an improper aerosol model was used. The application of atmospheric resistant VIs to the DTAC-derived surface reflectances is exactly what is being carried out by the Moderate Resolution Imaging Spectroradiometer (MODIS) VI algorithm. These results raise several issues for the effective, operational use of the DTAC algorithm and atmospheric resistant VIs, which are addressed in this paper. © 2001 Elsevier Science Inc. All rights reserved.

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http://hdl.handle.net/10453/8578