Photosynthesis-sun induced fluorescence relationship in a Mediterranean grassland

David Martini; Javier Pacheco-Labrador; Oscar Perez-Priego; C. van der Tol; Tarek El Madany; Tommaso Julitta; Micol Rossini; Anatoly Gitelson; Markus Reichstein; Mirco Migliavacca

doi:10.1109/IGARSS.2018.8517362

Photosynthesis-sun induced fluorescence relationship in a Mediterranean grassland

David Martini
, Javier Pacheco-Labrador
, Oscar Perez-Priego
, C. van der Tol
, Tarek El Madany
, Tommaso Julitta
, Micol Rossini
, Anatoly Gitelson
, Markus Reichstein
, Mirco Migliavacca

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

71 Downloads (Pure)

Abstract

Sun induced fluorescence at 760 nm (F ₇₆₀ ) has shown to provide a valid approach to quantify gross primary production (GPP) at various scales, however the relationship between GPP and F ₇₆₀ is influenced by the escape probability of fluorescence (Fesc), a variable which is not still fully understood. Combining radiative transfer modelling approaches, by means of the SCOPE model, and a data driven methodology based on variable selection methods we identify the predictors of Fesc, focusing on the effect of functional and structural traits. We show that Fesc is mainly predicted by structural variables such as fraction of grasses and near infrared reflectance. Building on the analysis of the predictor of Fesc, LUE _p and LUE _f we present a semi-empirical model formulation based only on optical data that significantly improves the GPP prediction.

Original language	English
Title of host publication	2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Subtitle of host publication	Proceedings
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	5979-5982
Number of pages	4
ISBN (Electronic)	978-1-5386-7150-4
ISBN (Print)	978-1-5386-7151-1, 978-1-5386-7149-8 (USB)
DOIs	https://doi.org/10.1109/IGARSS.2018.8517362
Publication status	Published - 5 Nov 2018
Event	38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018: Observing, Understanding and Forcasting the Dynamics of Our Planet - Feria Valencia Convention & Exhibition Center, Valencia, Spain Duration: 22 Jul 2018 → 27 Jul 2018 Conference number: 38 https://www.igarss2018.org/

Publication series

Name	IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher	IEEE
Volume	2018
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Abbreviated title	2018
Country/Territory	Spain
City	Valencia
Period	22/07/18 → 27/07/18
Internet address	https://www.igarss2018.org/

Keywords

Canopy structure
Fesc
Functional traits
GPP
SCOPE model
Sun induced fluorescence
22/3 OA procedure

Access to Document

10.1109/IGARSS.2018.8517362

ArticleFinal published version, 259 KBLicence: Taverne

Cite this

Martini, D., Pacheco-Labrador, J., Perez-Priego, O., van der Tol, C., El Madany, T., Julitta, T., Rossini, M., Gitelson, A., Reichstein, M., & Migliavacca, M. (2018). Photosynthesis-sun induced fluorescence relationship in a Mediterranean grassland. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 : Proceedings (pp. 5979-5982). Article 8517362 (IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018). IEEE. https://doi.org/10.1109/IGARSS.2018.8517362

@inproceedings{2a74d5017e1442eba529bc50fe9f1870,

title = "Photosynthesis-sun induced fluorescence relationship in a Mediterranean grassland",

abstract = " Sun induced fluorescence at 760 nm (F 760 ) has shown to provide a valid approach to quantify gross primary production (GPP) at various scales, however the relationship between GPP and F 760 is influenced by the escape probability of fluorescence (Fesc), a variable which is not still fully understood. Combining radiative transfer modelling approaches, by means of the SCOPE model, and a data driven methodology based on variable selection methods we identify the predictors of Fesc, focusing on the effect of functional and structural traits. We show that Fesc is mainly predicted by structural variables such as fraction of grasses and near infrared reflectance. Building on the analysis of the predictor of Fesc, LUE p and LUE f we present a semi-empirical model formulation based only on optical data that significantly improves the GPP prediction. ",

keywords = "Canopy structure, Fesc, Functional traits, GPP, SCOPE model, Sun induced fluorescence, 22/3 OA procedure",

author = "David Martini and Javier Pacheco-Labrador and Oscar Perez-Priego and \{van der Tol\}, C. and \{El Madany\}, Tarek and Tommaso Julitta and Micol Rossini and Anatoly Gitelson and Markus Reichstein and Mirco Migliavacca",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE; 38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 : Observing, Understanding and Forcasting the Dynamics of Our Planet, 2018 ; Conference date: 22-07-2018 Through 27-07-2018",

year = "2018",

month = nov,

day = "5",

doi = "10.1109/IGARSS.2018.8517362",

language = "English",

isbn = "978-1-5386-7151-1",

series = "IEEE International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "IEEE",

pages = "5979--5982",

booktitle = "2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018",

address = "United States",

url = "https://www.igarss2018.org/",

}

Martini, D, Pacheco-Labrador, J, Perez-Priego, O, van der Tol, C, El Madany, T, Julitta, T, Rossini, M, Gitelson, A, Reichstein, M & Migliavacca, M 2018, Photosynthesis-sun induced fluorescence relationship in a Mediterranean grassland. in 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 : Proceedings., 8517362, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2018, IEEE, Piscataway, NJ, pp. 5979-5982, 38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 22/07/18. https://doi.org/10.1109/IGARSS.2018.8517362

Photosynthesis-sun induced fluorescence relationship in a Mediterranean grassland. / Martini, David; Pacheco-Labrador, Javier; Perez-Priego, Oscar et al.
2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 : Proceedings. Piscataway, NJ: IEEE, 2018. p. 5979-5982 8517362 (IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Photosynthesis-sun induced fluorescence relationship in a Mediterranean grassland

AU - Martini, David

AU - Pacheco-Labrador, Javier

AU - Perez-Priego, Oscar

AU - van der Tol, C.

AU - El Madany, Tarek

AU - Julitta, Tommaso

AU - Rossini, Micol

AU - Gitelson, Anatoly

AU - Reichstein, Markus

AU - Migliavacca, Mirco

N1 - Conference code: 38

PY - 2018/11/5

Y1 - 2018/11/5

N2 - Sun induced fluorescence at 760 nm (F 760 ) has shown to provide a valid approach to quantify gross primary production (GPP) at various scales, however the relationship between GPP and F 760 is influenced by the escape probability of fluorescence (Fesc), a variable which is not still fully understood. Combining radiative transfer modelling approaches, by means of the SCOPE model, and a data driven methodology based on variable selection methods we identify the predictors of Fesc, focusing on the effect of functional and structural traits. We show that Fesc is mainly predicted by structural variables such as fraction of grasses and near infrared reflectance. Building on the analysis of the predictor of Fesc, LUE p and LUE f we present a semi-empirical model formulation based only on optical data that significantly improves the GPP prediction.

AB - Sun induced fluorescence at 760 nm (F 760 ) has shown to provide a valid approach to quantify gross primary production (GPP) at various scales, however the relationship between GPP and F 760 is influenced by the escape probability of fluorescence (Fesc), a variable which is not still fully understood. Combining radiative transfer modelling approaches, by means of the SCOPE model, and a data driven methodology based on variable selection methods we identify the predictors of Fesc, focusing on the effect of functional and structural traits. We show that Fesc is mainly predicted by structural variables such as fraction of grasses and near infrared reflectance. Building on the analysis of the predictor of Fesc, LUE p and LUE f we present a semi-empirical model formulation based only on optical data that significantly improves the GPP prediction.

KW - Canopy structure

KW - Fesc

KW - Functional traits

KW - GPP

KW - SCOPE model

KW - Sun induced fluorescence

KW - 22/3 OA procedure

U2 - 10.1109/IGARSS.2018.8517362

DO - 10.1109/IGARSS.2018.8517362

M3 - Conference contribution

AN - SCOPUS:85063136228

SN - 978-1-5386-7151-1

SN - 978-1-5386-7149-8 (USB)

T3 - IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 5979

EP - 5982

BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018

PB - IEEE

CY - Piscataway, NJ

T2 - 38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018

Y2 - 22 July 2018 through 27 July 2018

ER -

Martini D, Pacheco-Labrador J, Perez-Priego O, van der Tol C, El Madany T, Julitta T et al. Photosynthesis-sun induced fluorescence relationship in a Mediterranean grassland. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 : Proceedings. Piscataway, NJ: IEEE. 2018. p. 5979-5982. 8517362. (IEEE International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2018.8517362

Photosynthesis-sun induced fluorescence relationship in a Mediterranean grassland

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this