English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  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.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-16AB-C Version Permalink: https://hdl.handle.net/21.11116/0000-000D-AB61-5
Genre: Conference Paper

Files

show Files
hide Files
:
BEX492.pdf (Publisher version), 2MB
 
File Permalink:
-
Name:
BEX492.pdf
Description:
-
OA-Status:
Visibility:
Restricted (Max Planck Institute for Biogeochemistry, MJBK; )
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Houborg, Rasmus, Author
Cescatti, Alessandro, Author
Migliavacca, Mirco1, Author           
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
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).

Details

show
hide
Language(s):
 Dates: 2012
 Publication Status: Issued
 Pages: 4
 Publishing info: -
 Table of Contents: -
 Rev. Type: No review
 Identifiers: Other: BEX492
DOI: 10.1109/IGARSS.2012.6352741
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
  Alternative Title : INT GEOSCI REMOTE SE
Source Genre: Proceedings
 Creator(s):
Affiliations:
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

Source 2

show
hide
Title: IEEE International Symposium on Geoscience and Remote Sensing IGARSS
  Alternative Title : INT GEOSCI REMOTE SE
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 2153-6996