An Error and Sensitivity Analysis of the Atmospheric and Soil-Correcting Variants of the NDVI for the MODISEOS

Huete, AR; Liu, HQ

An Error and Sensitivity Analysis of the Atmospheric and Soil-Correcting Variants of the NDVI for the MODISEOS

Huete, AR

Liu, HQ

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Geoscience and Remote Sensing, 1994, 32 (4), pp. 897 - 905
Issue Date:: 1994-01-01

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Field	Value	Language
dc.contributor.author	Huete, AR https://orcid.org/0000-0003-2809-2376	en_US
dc.contributor.author	Liu, HQ	en_US
dc.date.issued	1994-01-01	en_US
dc.identifier.citation	IEEE Transactions on Geoscience and Remote Sensing, 1994, 32 (4), pp. 897 - 905	en_US
dc.identifier.issn	0196-2892	en_US
dc.identifier.uri	http://hdl.handle.net/10453/9190
dc.description.abstract	Several soil and atmospheric-correcting variants of the normalized difference vegetation index (NDVI) have been proposed to improve the accuracy in estimating biophysical plant parameters. In this study, a sensitivity analysis, utilizing simulated model data, was conducted on the NDVI and variants by analyzing the atmospheric and soil-perturbed responses as a continuous function of leaf area index. Percent relative error and vegetation equivalent “noise” (VEN) were calculated for soil and atmospheric influences, separately and combined. The NDVI variants included the soil-adjusted vegetation index (SAVI), the atmospherically resistant vegetation index (ARVI), the soil-adjusted and atmospherically resistant vegetation index (SARVI), the modified SAVI (MSAVI), and modified SARVI (MSARVI). Soil and atmospheric error were of similar magnitudes, but varied with the vegetation index. All new variants outperformed the NDVI. The atmospherically resistant versions minimized atmospheric noise, but enhanced soil noise, while the soil adjusted variants minimized soil noise, but remained sensitive to the atmosphere. The SARVI, which had both a soil and atmosphere calibration term, performed the best with a relative error of 10 percent and VEN of ±0.33 LAI. By contrast, the NDVI had a relative error of 20 percent and VEN of ±0.97 LAI. © 1994 IEEE	en_US
dc.relation.ispartof	IEEE Transactions on Geoscience and Remote Sensing	en_US
dc.relation.isbasedon	10.1109/36.298018	en_US
dc.subject.classification	Geological & Geomatics Engineering	en_US
dc.title	An Error and Sensitivity Analysis of the Atmospheric and Soil-Correcting Variants of the NDVI for the MODISEOS	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	32	en_US
utslib.for	090905 Photogrammetry and Remote Sensing	en_US
utslib.for	0404 Geophysics	en_US
utslib.for	0906 Electrical and Electronic Engineering	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	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	32	en_US

Abstract:

Several soil and atmospheric-correcting variants of the normalized difference vegetation index (NDVI) have been proposed to improve the accuracy in estimating biophysical plant parameters. In this study, a sensitivity analysis, utilizing simulated model data, was conducted on the NDVI and variants by analyzing the atmospheric and soil-perturbed responses as a continuous function of leaf area index. Percent relative error and vegetation equivalent “noise” (VEN) were calculated for soil and atmospheric influences, separately and combined. The NDVI variants included the soil-adjusted vegetation index (SAVI), the atmospherically resistant vegetation index (ARVI), the soil-adjusted and atmospherically resistant vegetation index (SARVI), the modified SAVI (MSAVI), and modified SARVI (MSARVI). Soil and atmospheric error were of similar magnitudes, but varied with the vegetation index. All new variants outperformed the NDVI. The atmospherically resistant versions minimized atmospheric noise, but enhanced soil noise, while the soil adjusted variants minimized soil noise, but remained sensitive to the atmosphere. The SARVI, which had both a soil and atmosphere calibration term, performed the best with a relative error of 10 percent and VEN of ±0.33 LAI. By contrast, the NDVI had a relative error of 20 percent and VEN of ±0.97 LAI. © 1994 IEEE

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http://hdl.handle.net/10453/9190