The University of Southampton
University of Southampton Institutional Repository

Evaluation of Envisat MERIS Terrestrial Chlorophyll Index based models for the estimation of terrestrial Gross Primary Productivity

Evaluation of Envisat MERIS Terrestrial Chlorophyll Index based models for the estimation of terrestrial Gross Primary Productivity
Evaluation of Envisat MERIS Terrestrial Chlorophyll Index based models for the estimation of terrestrial Gross Primary Productivity
This paper evaluates three Envisat MERIS Terrestrial Chlorophyll Index (MTCI) based models for the estimation of terrestrial Gross Primary Productivity (GPP) across a range of vegetation types. Correlations between flux tower measures of GPP and models for years between 2003 and 2007 were established for 30 sites across USA, Canada and Brazil. Correlations were seen to range from very strong to weak depending on seasonal variation in photosynthetic capacity (which is influenced by chlorophyll content) exhibited by the vegetation at each site. At least one of the three models obtained a statistically significant relationship with GPP at every site. Results indicate that chlorophyll content (as measured by the MTCI) is a most relevant community property for estimating primary productivity and chlorophyll-related vegetation indices provide favourable approximations of the GPP of terrestrial vegetation. The inclusion of radiation information (PAR and fPAR) into the models extended the applicability of the models and the accuracy of the GPP estimate. Although further investigation is required to fully understand the applicability of these models and their parameters, these results point to the possibility of a total remote sensing approach to GPP estimation
1545-598X
Boyd, D.
a9a18d6b-8f33-4025-9ba0-9de91b4924bd
Almond, S.
523f9b31-4271-4d1a-8808-dea1e4336f8b
Dash, J.
51468afb-3d56-4d3a-aace-736b63e9fac8
Curran, P.J.
3f5c1422-c154-4533-9c84-f2afb77df2de
Hill, R.
68ab3430-7172-432b-8280-15f46359aaf0
Foody, G.
59084450-df94-4547-be6d-14d85aea3e33
Boyd, D.
a9a18d6b-8f33-4025-9ba0-9de91b4924bd
Almond, S.
523f9b31-4271-4d1a-8808-dea1e4336f8b
Dash, J.
51468afb-3d56-4d3a-aace-736b63e9fac8
Curran, P.J.
3f5c1422-c154-4533-9c84-f2afb77df2de
Hill, R.
68ab3430-7172-432b-8280-15f46359aaf0
Foody, G.
59084450-df94-4547-be6d-14d85aea3e33

Boyd, D., Almond, S., Dash, J., Curran, P.J., Hill, R. and Foody, G. (2011) Evaluation of Envisat MERIS Terrestrial Chlorophyll Index based models for the estimation of terrestrial Gross Primary Productivity. IEEE Geoscience and Remote Sensing Letters. (In Press)

Record type: Article

Abstract

This paper evaluates three Envisat MERIS Terrestrial Chlorophyll Index (MTCI) based models for the estimation of terrestrial Gross Primary Productivity (GPP) across a range of vegetation types. Correlations between flux tower measures of GPP and models for years between 2003 and 2007 were established for 30 sites across USA, Canada and Brazil. Correlations were seen to range from very strong to weak depending on seasonal variation in photosynthetic capacity (which is influenced by chlorophyll content) exhibited by the vegetation at each site. At least one of the three models obtained a statistically significant relationship with GPP at every site. Results indicate that chlorophyll content (as measured by the MTCI) is a most relevant community property for estimating primary productivity and chlorophyll-related vegetation indices provide favourable approximations of the GPP of terrestrial vegetation. The inclusion of radiation information (PAR and fPAR) into the models extended the applicability of the models and the accuracy of the GPP estimate. Although further investigation is required to fully understand the applicability of these models and their parameters, these results point to the possibility of a total remote sensing approach to GPP estimation

PDF
IEEE_letter_Boyd_revised_finalfinal.pdf - Author's Original
Restricted to Registered users only
Download (359kB)
Request a copy

More information

Accepted/In Press date: 2011
Organisations: Global Env Change & Earth Observation

Identifiers

Local EPrints ID: 201285
URI: https://eprints.soton.ac.uk/id/eprint/201285
ISSN: 1545-598X
PURE UUID: 2a920956-c06e-465f-9b2c-29d8d969b1c0
ORCID for J. Dash: ORCID iD orcid.org/0000-0002-5444-2109

Catalogue record

Date deposited: 28 Oct 2011 13:56
Last modified: 06 Jun 2018 12:45

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×