Retrieving photosynthetic capacity parameter from leaf photochemical reflectance and chlorophyll fluorescence

N.R. Vilfan; C. Van der Tol; Peiqi Yang; W. Verhoef

doi:10.1109/IGARSS.2018.8517912

Retrieving photosynthetic capacity parameter from leaf photochemical reflectance and chlorophyll fluorescence

N.R. Vilfan^*, C. Van der Tol, Peiqi Yang, W. Verhoef

^*Corresponding author for this work

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

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Abstract

Two dynamic vegetation optical indicators, namely chlorophyll fluorescence (ChlF) and photochemical reflectance index (PRI), have been proven valuable as estimators of terrestrial photosynthesis. Linking optical properties of vegetation to the underlying biochemical processes is a difficult task, however, key for the remote sensing of vegetation. We present a new method of retrieving leaf maximum carboxylation rate (V _cmax ): we combine the leaf radiative transfer model Fluspect to a biochemical routine, and use both ChlF and green reflectance spectra simultaneously as an input. We test the method against various datasets, and discuss its applications, requirements and problems.

Original language	English
Title of host publication	2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
Place of Publication	Valencia
Publisher	IEEE
Pages	5991-5994
Number of pages	4
ISBN (Electronic)	9781538671504
DOIs	https://doi.org/10.1109/IGARSS.2018.8517912
Publication status	Published - 31 Oct 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	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2018-July

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

Chlorophyll fluorescence
Fluspect
Green reflectance
Photosynthesis
SCOPE
V
22/3 OA procedure

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10.1109/IGARSS.2018.8517912

Vilfan-2018-Retrieving-photosynthetic-capacity-Final published version, 1.31 MBLicence: Taverne

Cite this

Vilfan, N. R., Van der Tol, C., Yang, P., & Verhoef, W. (2018). Retrieving photosynthetic capacity parameter from leaf photochemical reflectance and chlorophyll fluorescence. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (pp. 5991-5994). Article 8517912 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018-July). IEEE. https://doi.org/10.1109/IGARSS.2018.8517912

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title = "Retrieving photosynthetic capacity parameter from leaf photochemical reflectance and chlorophyll fluorescence",

abstract = " Two dynamic vegetation optical indicators, namely chlorophyll fluorescence (ChlF) and photochemical reflectance index (PRI), have been proven valuable as estimators of terrestrial photosynthesis. Linking optical properties of vegetation to the underlying biochemical processes is a difficult task, however, key for the remote sensing of vegetation. We present a new method of retrieving leaf maximum carboxylation rate (V cmax ): we combine the leaf radiative transfer model Fluspect to a biochemical routine, and use both ChlF and green reflectance spectra simultaneously as an input. We test the method against various datasets, and discuss its applications, requirements and problems. ",

keywords = "Chlorophyll fluorescence, Fluspect, Green reflectance, Photosynthesis, SCOPE, V, 22/3 OA procedure",

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note = "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",

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Vilfan, NR, Van der Tol, C, Yang, P & Verhoef, W 2018, Retrieving photosynthetic capacity parameter from leaf photochemical reflectance and chlorophyll fluorescence. in 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings., 8517912, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2018-July, IEEE, Valencia, pp. 5991-5994, 38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 22/07/18. https://doi.org/10.1109/IGARSS.2018.8517912

Retrieving photosynthetic capacity parameter from leaf photochemical reflectance and chlorophyll fluorescence. / Vilfan, N.R.; Van der Tol, C.; Yang, Peiqi et al.
2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Valencia: IEEE, 2018. p. 5991-5994 8517912 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018-July).

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

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N1 - Conference code: 38

PY - 2018/10/31

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N2 - Two dynamic vegetation optical indicators, namely chlorophyll fluorescence (ChlF) and photochemical reflectance index (PRI), have been proven valuable as estimators of terrestrial photosynthesis. Linking optical properties of vegetation to the underlying biochemical processes is a difficult task, however, key for the remote sensing of vegetation. We present a new method of retrieving leaf maximum carboxylation rate (V cmax ): we combine the leaf radiative transfer model Fluspect to a biochemical routine, and use both ChlF and green reflectance spectra simultaneously as an input. We test the method against various datasets, and discuss its applications, requirements and problems.

AB - Two dynamic vegetation optical indicators, namely chlorophyll fluorescence (ChlF) and photochemical reflectance index (PRI), have been proven valuable as estimators of terrestrial photosynthesis. Linking optical properties of vegetation to the underlying biochemical processes is a difficult task, however, key for the remote sensing of vegetation. We present a new method of retrieving leaf maximum carboxylation rate (V cmax ): we combine the leaf radiative transfer model Fluspect to a biochemical routine, and use both ChlF and green reflectance spectra simultaneously as an input. We test the method against various datasets, and discuss its applications, requirements and problems.

KW - Chlorophyll fluorescence

KW - Fluspect

KW - Green reflectance

KW - Photosynthesis

KW - SCOPE

KW - V

KW - 22/3 OA procedure

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Vilfan NR, Van der Tol C, Yang P, Verhoef W. Retrieving photosynthetic capacity parameter from leaf photochemical reflectance and chlorophyll fluorescence. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Valencia: IEEE. 2018. p. 5991-5994. 8517912. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2018.8517912

Retrieving photosynthetic capacity parameter from leaf photochemical reflectance and chlorophyll fluorescence

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