Retrieving photosynthetic capacity parameter from leaf photochemical reflectance and chlorophyll fluorescence

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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 languageEnglish
Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
Place of PublicationValencia
PublisherIEEE
Pages5991-5994
Number of pages4
ISBN (Electronic)9781538671504
DOIs
Publication statusPublished - 31 Oct 2018
Event38th IEEE International Geoscience and Remote Sensing Symposium 2018: Observing, Understanding and Forcasting the Dynamics of Our Planet - Feria Valencia Convention & Exhibition Center, Valencia, Spain
Duration: 22 Jul 201827 Jul 2018
Conference number: 38
https://www.igarss2018.org/

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2018-July

Conference

Conference38th IEEE International Geoscience and Remote Sensing Symposium 2018
Abbreviated titleIGARSS 2018
CountrySpain
CityValencia
Period22/07/1827/07/18
Internet address

Fingerprint

Chlorophyll
reflectance
chlorophyll
fluorescence
Fluorescence
vegetation
vegetation dynamics
Carboxylation
optical property
radiative transfer
photosynthesis
Photosynthesis
Radiative transfer
remote sensing
Remote sensing
Optical properties
method
parameter
biochemical process
index

Keywords

  • Chlorophyll fluorescence
  • Fluspect
  • Green reflectance
  • Photosynthesis
  • SCOPE
  • V

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

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 proceedingConference contributionAcademicpeer-review

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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)). https://doi.org/10.1109/IGARSS.2018.8517912