Integrating satellite retrieved leaf chlorophyll into land surface models for constraining simulations of water and carbon fluxes

Rasmus Houborg, Alessandro Cescatti, Anatoly Gitelson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In terrestrial biosphere models, key biochemical controls on carbon uptake by vegetation canopies are typically assigned fixed literature-based values for broad categories of vegetation types although in reality significant spatial and temporal variability exists. Satellite remote sensing can support modeling efforts by offering distributed information on important land surface characteristics, which would be very difficult to obtain otherwise. This study investigates the utility of satellite based retrievals of leaf chlorophyll for estimating leaf photosynthetic capacity and for constraining model simulations of water and carbon fluxes.

Original languageEnglish (US)
Title of host publication2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
Pages2129-2132
Number of pages4
DOIs
Publication statusPublished - Dec 1 2013
Event2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia
Duration: Jul 21 2013Jul 26 2013

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
CountryAustralia
CityMelbourne, VIC
Period7/21/137/26/13

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Keywords

  • CLM
  • GPP
  • Landsat
  • leaf chlorophyll

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Houborg, R., Cescatti, A., & Gitelson, A. (2013). Integrating satellite retrieved leaf chlorophyll into land surface models for constraining simulations of water and carbon fluxes. In 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings (pp. 2129-2132). [6723234] (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2013.6723234