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.
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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, |
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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 |
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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 |
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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 |
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1819042328871960576 |