Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems

One of themost frequently appliedmethods for integrating controls on primary production through satellite data is the light use efficiency (LUE) approach,which links vegetation gross or net primary productivity (GPP or NPP) to remotely sensed estimates of absorbed photosynthetically active radiation (APAR). Eddy covariance towers provide continuousmeasurements of carbon flux, presenting an opportunity for evaluation of satellite estimates of GPP. Here we investigate relationships between eddy covariance estimated GPP, environmental variables derived fromflux towers,Moderate Resolution Imaging Spectroradiometer (MODIS) enhanced vegetation index (EVI) and GPP across African savanna ecosystems.MODIS GPP was found to underestimate GPP at themajority of sites, particularly at sites in the Sahel. EVIwas found to correlate well with estimated GPP on a site-by-site basis. Combining EVI with tower-measured PAR and evaporative fraction (EF, ameasure ofwater sufficiency) improved the direct relationship betweenGPP and EVI at themajority of the sites. The slope of this relationshipwas strongly related to site peak leaf area index (LAI). These results are promising for the extension of GPP through the use of remote sensing data to a regional or even continental scale.

Saved in:
Bibliographic Details
Main Authors: Sjöström, M., Ardö, Junas, Arneth, Almur, Boulain, N., Cappelaere, Bernard, Eklundh, Lars, De Grandcourt, Agnès, Kutsch, Werner L., Merbold, L., Nouvellon, Yann, Scholes, Robert J., Schubert, P., Seaquist, J., Veenendaal, Elmar M.
Format: article biblioteca
Language:eng
Published: Elsevier
Subjects:U30 - Méthodes de recherche, F40 - Écologie végétale, écosystème, savane, cycle du carbone, production végétale, surface foliaire, photosynthèse, évapotranspiration, télédétection, satellite, spectrométrie, http://aims.fao.org/aos/agrovoc/c_2482, http://aims.fao.org/aos/agrovoc/c_6825, http://aims.fao.org/aos/agrovoc/c_17299, http://aims.fao.org/aos/agrovoc/c_5976, http://aims.fao.org/aos/agrovoc/c_16110, http://aims.fao.org/aos/agrovoc/c_5812, http://aims.fao.org/aos/agrovoc/c_2741, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_14093, http://aims.fao.org/aos/agrovoc/c_7283, http://aims.fao.org/aos/agrovoc/c_165,
Online Access:http://agritrop.cirad.fr/558488/
http://agritrop.cirad.fr/558488/1/document_558488.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-cirad-fr-558488
record_format koha
spelling dig-cirad-fr-5584882024-12-18T14:17:23Z http://agritrop.cirad.fr/558488/ http://agritrop.cirad.fr/558488/ Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems. Sjöström M., Ardö Junas, Arneth Almur, Boulain N., Cappelaere Bernard, Eklundh Lars, De Grandcourt Agnès, Kutsch Werner L., Merbold L., Nouvellon Yann, Scholes Robert J., Schubert P., Seaquist J., Veenendaal Elmar M.. 2011. Remote Sensing of Environment, 115 (4) : 1081-1089.https://doi.org/10.1016/j.rse.2010.12.013 <https://doi.org/10.1016/j.rse.2010.12.013> Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems Sjöström, M. Ardö, Junas Arneth, Almur Boulain, N. Cappelaere, Bernard Eklundh, Lars De Grandcourt, Agnès Kutsch, Werner L. Merbold, L. Nouvellon, Yann Scholes, Robert J. Schubert, P. Seaquist, J. Veenendaal, Elmar M. eng 2011 Elsevier Remote Sensing of Environment U30 - Méthodes de recherche F40 - Écologie végétale écosystème savane cycle du carbone production végétale surface foliaire photosynthèse évapotranspiration télédétection satellite spectrométrie http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_6825 http://aims.fao.org/aos/agrovoc/c_17299 http://aims.fao.org/aos/agrovoc/c_5976 http://aims.fao.org/aos/agrovoc/c_16110 http://aims.fao.org/aos/agrovoc/c_5812 http://aims.fao.org/aos/agrovoc/c_2741 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_14093 http://aims.fao.org/aos/agrovoc/c_7283 Afrique http://aims.fao.org/aos/agrovoc/c_165 One of themost frequently appliedmethods for integrating controls on primary production through satellite data is the light use efficiency (LUE) approach,which links vegetation gross or net primary productivity (GPP or NPP) to remotely sensed estimates of absorbed photosynthetically active radiation (APAR). Eddy covariance towers provide continuousmeasurements of carbon flux, presenting an opportunity for evaluation of satellite estimates of GPP. Here we investigate relationships between eddy covariance estimated GPP, environmental variables derived fromflux towers,Moderate Resolution Imaging Spectroradiometer (MODIS) enhanced vegetation index (EVI) and GPP across African savanna ecosystems.MODIS GPP was found to underestimate GPP at themajority of sites, particularly at sites in the Sahel. EVIwas found to correlate well with estimated GPP on a site-by-site basis. Combining EVI with tower-measured PAR and evaporative fraction (EF, ameasure ofwater sufficiency) improved the direct relationship betweenGPP and EVI at themajority of the sites. The slope of this relationshipwas strongly related to site peak leaf area index (LAI). These results are promising for the extension of GPP through the use of remote sensing data to a regional or even continental scale. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/558488/1/document_558488.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1016/j.rse.2010.12.013 10.1016/j.rse.2010.12.013 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=210504 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2010.12.013 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.rse.2010.12.013
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic U30 - Méthodes de recherche
F40 - Écologie végétale
écosystème
savane
cycle du carbone
production végétale
surface foliaire
photosynthèse
évapotranspiration
télédétection
satellite
spectrométrie
http://aims.fao.org/aos/agrovoc/c_2482
http://aims.fao.org/aos/agrovoc/c_6825
http://aims.fao.org/aos/agrovoc/c_17299
http://aims.fao.org/aos/agrovoc/c_5976
http://aims.fao.org/aos/agrovoc/c_16110
http://aims.fao.org/aos/agrovoc/c_5812
http://aims.fao.org/aos/agrovoc/c_2741
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_14093
http://aims.fao.org/aos/agrovoc/c_7283
http://aims.fao.org/aos/agrovoc/c_165
U30 - Méthodes de recherche
F40 - Écologie végétale
écosystème
savane
cycle du carbone
production végétale
surface foliaire
photosynthèse
évapotranspiration
télédétection
satellite
spectrométrie
http://aims.fao.org/aos/agrovoc/c_2482
http://aims.fao.org/aos/agrovoc/c_6825
http://aims.fao.org/aos/agrovoc/c_17299
http://aims.fao.org/aos/agrovoc/c_5976
http://aims.fao.org/aos/agrovoc/c_16110
http://aims.fao.org/aos/agrovoc/c_5812
http://aims.fao.org/aos/agrovoc/c_2741
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_14093
http://aims.fao.org/aos/agrovoc/c_7283
http://aims.fao.org/aos/agrovoc/c_165
spellingShingle U30 - Méthodes de recherche
F40 - Écologie végétale
écosystème
savane
cycle du carbone
production végétale
surface foliaire
photosynthèse
évapotranspiration
télédétection
satellite
spectrométrie
http://aims.fao.org/aos/agrovoc/c_2482
http://aims.fao.org/aos/agrovoc/c_6825
http://aims.fao.org/aos/agrovoc/c_17299
http://aims.fao.org/aos/agrovoc/c_5976
http://aims.fao.org/aos/agrovoc/c_16110
http://aims.fao.org/aos/agrovoc/c_5812
http://aims.fao.org/aos/agrovoc/c_2741
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_14093
http://aims.fao.org/aos/agrovoc/c_7283
http://aims.fao.org/aos/agrovoc/c_165
U30 - Méthodes de recherche
F40 - Écologie végétale
écosystème
savane
cycle du carbone
production végétale
surface foliaire
photosynthèse
évapotranspiration
télédétection
satellite
spectrométrie
http://aims.fao.org/aos/agrovoc/c_2482
http://aims.fao.org/aos/agrovoc/c_6825
http://aims.fao.org/aos/agrovoc/c_17299
http://aims.fao.org/aos/agrovoc/c_5976
http://aims.fao.org/aos/agrovoc/c_16110
http://aims.fao.org/aos/agrovoc/c_5812
http://aims.fao.org/aos/agrovoc/c_2741
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_14093
http://aims.fao.org/aos/agrovoc/c_7283
http://aims.fao.org/aos/agrovoc/c_165
Sjöström, M.
Ardö, Junas
Arneth, Almur
Boulain, N.
Cappelaere, Bernard
Eklundh, Lars
De Grandcourt, Agnès
Kutsch, Werner L.
Merbold, L.
Nouvellon, Yann
Scholes, Robert J.
Schubert, P.
Seaquist, J.
Veenendaal, Elmar M.
Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems
description One of themost frequently appliedmethods for integrating controls on primary production through satellite data is the light use efficiency (LUE) approach,which links vegetation gross or net primary productivity (GPP or NPP) to remotely sensed estimates of absorbed photosynthetically active radiation (APAR). Eddy covariance towers provide continuousmeasurements of carbon flux, presenting an opportunity for evaluation of satellite estimates of GPP. Here we investigate relationships between eddy covariance estimated GPP, environmental variables derived fromflux towers,Moderate Resolution Imaging Spectroradiometer (MODIS) enhanced vegetation index (EVI) and GPP across African savanna ecosystems.MODIS GPP was found to underestimate GPP at themajority of sites, particularly at sites in the Sahel. EVIwas found to correlate well with estimated GPP on a site-by-site basis. Combining EVI with tower-measured PAR and evaporative fraction (EF, ameasure ofwater sufficiency) improved the direct relationship betweenGPP and EVI at themajority of the sites. The slope of this relationshipwas strongly related to site peak leaf area index (LAI). These results are promising for the extension of GPP through the use of remote sensing data to a regional or even continental scale.
format article
topic_facet U30 - Méthodes de recherche
F40 - Écologie végétale
écosystème
savane
cycle du carbone
production végétale
surface foliaire
photosynthèse
évapotranspiration
télédétection
satellite
spectrométrie
http://aims.fao.org/aos/agrovoc/c_2482
http://aims.fao.org/aos/agrovoc/c_6825
http://aims.fao.org/aos/agrovoc/c_17299
http://aims.fao.org/aos/agrovoc/c_5976
http://aims.fao.org/aos/agrovoc/c_16110
http://aims.fao.org/aos/agrovoc/c_5812
http://aims.fao.org/aos/agrovoc/c_2741
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_14093
http://aims.fao.org/aos/agrovoc/c_7283
http://aims.fao.org/aos/agrovoc/c_165
author Sjöström, M.
Ardö, Junas
Arneth, Almur
Boulain, N.
Cappelaere, Bernard
Eklundh, Lars
De Grandcourt, Agnès
Kutsch, Werner L.
Merbold, L.
Nouvellon, Yann
Scholes, Robert J.
Schubert, P.
Seaquist, J.
Veenendaal, Elmar M.
author_facet Sjöström, M.
Ardö, Junas
Arneth, Almur
Boulain, N.
Cappelaere, Bernard
Eklundh, Lars
De Grandcourt, Agnès
Kutsch, Werner L.
Merbold, L.
Nouvellon, Yann
Scholes, Robert J.
Schubert, P.
Seaquist, J.
Veenendaal, Elmar M.
author_sort Sjöström, M.
title Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems
title_short Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems
title_full Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems
title_fullStr Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems
title_full_unstemmed Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems
title_sort exploring the potential of modis evi for modeling gross primary production across african ecosystems
publisher Elsevier
url http://agritrop.cirad.fr/558488/
http://agritrop.cirad.fr/558488/1/document_558488.pdf
work_keys_str_mv AT sjostromm exploringthepotentialofmodiseviformodelinggrossprimaryproductionacrossafricanecosystems
AT ardojunas exploringthepotentialofmodiseviformodelinggrossprimaryproductionacrossafricanecosystems
AT arnethalmur exploringthepotentialofmodiseviformodelinggrossprimaryproductionacrossafricanecosystems
AT boulainn exploringthepotentialofmodiseviformodelinggrossprimaryproductionacrossafricanecosystems
AT cappelaerebernard exploringthepotentialofmodiseviformodelinggrossprimaryproductionacrossafricanecosystems
AT eklundhlars exploringthepotentialofmodiseviformodelinggrossprimaryproductionacrossafricanecosystems
AT degrandcourtagnes exploringthepotentialofmodiseviformodelinggrossprimaryproductionacrossafricanecosystems
AT kutschwernerl exploringthepotentialofmodiseviformodelinggrossprimaryproductionacrossafricanecosystems
AT merboldl exploringthepotentialofmodiseviformodelinggrossprimaryproductionacrossafricanecosystems
AT nouvellonyann exploringthepotentialofmodiseviformodelinggrossprimaryproductionacrossafricanecosystems
AT scholesrobertj exploringthepotentialofmodiseviformodelinggrossprimaryproductionacrossafricanecosystems
AT schubertp exploringthepotentialofmodiseviformodelinggrossprimaryproductionacrossafricanecosystems
AT seaquistj exploringthepotentialofmodiseviformodelinggrossprimaryproductionacrossafricanecosystems
AT veenendaalelmarm exploringthepotentialofmodiseviformodelinggrossprimaryproductionacrossafricanecosystems
_version_ 1819042328871960576