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  Constraining model simulations of GPP using satellite retrieved leaf chlorophyll

Houborg, R., Cescatti, A., & Migliavacca, M. (2012). Constraining model simulations of GPP using satellite retrieved leaf chlorophyll. In 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) (pp. 6455-6458). 345 E 47TH ST, NEW YORK, NY 10017 USA: IEEE.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-16AB-C Version Permalink: https://hdl.handle.net/21.11116/0000-000A-4EBC-C
Genre: Conference Paper

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BEX492.pdf (Publisher version), 2MB
 
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 Creators:
Houborg, Rasmus, Author
Cescatti, Alessandro, Author
Migliavacca, Mirco1, Author           
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1External Organizations, ou_persistent22              

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Free keywords: USE-EFFICIENCY; C-3; PHOTOSYNTHESIS; PLANTS; LEAVESEngineering; Geology; Remote Sensing; CLM; V-cmax; leaf chlorophyll; GPP;
 Abstract: A prominent issue with the state of current terrestrial biosphere models pertains to unrealistic parameterizations of model parameters in space and time. Key biochemical controls on carbon uptake by vegetation canopies are typically assigned fixed literature-based values for broad categories of vegetation types despite the fact that these are affected by a complex interplay of environmental and physiological factors, which inevitable leads to significant temporal and spatial variability. Considering the high spatial and temporal resolution of current satellite constellations, candidate remote sensing techniques should play a key role in advancing model parameterizations and ultimately improve estimations of gas and energy fluxes in terrestrial ecosystems. This study investigates the utility of remote sensing based retrievals of leaf chlorophyll for estimating leaf photosynthetic capacity (i.e. V-cmax) and for constraining model simulations of gross primary productivity (GPP).

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Language(s): eng - English
 Dates: 2012
 Publication Status: Issued
 Pages: 4
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BEX492
DOI: 10.1109/IGARSS.2012.6352741
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Title: 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
  Alternative Title : INT GEOSCI REMOTE SE
Source Genre: Proceedings
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Publ. Info: 345 E 47TH ST, NEW YORK, NY 10017 USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 6455 - 6458 Identifier: ISSN: 2153-6996
ISBN: 978-1-4673-1159-5

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Title: IEEE International Symposium on Geoscience and Remote Sensing IGARSS
  Alternative Title : INT GEOSCI REMOTE SE
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 2153-6996