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Coupling imaging spectroscopy and ecosystem process modelling: the importance of spatially distributed foliar biochemical concentration estimates for modelling NPP of grassland habitats


Psomas, A; Kneubühler, M; Huber, S; Itten, K I; Zimmermann, N E (2008). Coupling imaging spectroscopy and ecosystem process modelling: the importance of spatially distributed foliar biochemical concentration estimates for modelling NPP of grassland habitats. In: 2008 IEEE International Geoscience & Remote Sensing Symposium, Boston, US, 6 July 2008 - 11 July 2008, 315-318.

Abstract

Information on canopy chemical concentrations is of great
importance for the study of nutrient cycling, productivity
and for input to ecosystem process models. In particular,
foliar Carbon to Nitrogen ratio (C:N) drives terrestrial
biogeochemical processes such as decomposition and mineralization, and thus strongly influences soil organic
matter concentrations and turnover rates. This study
evaluated the effects of using spatial estimates of foliar C:N derived from hyperspectral remote sensing for simulating
NPP by means of the ecosystem process model Biome-BGC.
The main objectives of this study were to calibrate spatial
statistical models for the prediction of foliar C:N for
grassland habitats at the regional scale, using airborne
HyMap hyperspectral data, to use the foliar C:N predictions
as input to the ecosystem process model Biome-BGC and
derive NPP estimates and finally to compare these results to
NPP estimates derived using C:N value reported in literature
and derived from field measurements. Results from this research indicate that NPP estimates using the HyMap predicted C:N differed significantly from those when C:N
values from “global” or “regional” measurements were used.
Extending the current research to broader spatial scales can
help to initialise, validate and adjust better ecological
process models.

Abstract

Information on canopy chemical concentrations is of great
importance for the study of nutrient cycling, productivity
and for input to ecosystem process models. In particular,
foliar Carbon to Nitrogen ratio (C:N) drives terrestrial
biogeochemical processes such as decomposition and mineralization, and thus strongly influences soil organic
matter concentrations and turnover rates. This study
evaluated the effects of using spatial estimates of foliar C:N derived from hyperspectral remote sensing for simulating
NPP by means of the ecosystem process model Biome-BGC.
The main objectives of this study were to calibrate spatial
statistical models for the prediction of foliar C:N for
grassland habitats at the regional scale, using airborne
HyMap hyperspectral data, to use the foliar C:N predictions
as input to the ecosystem process model Biome-BGC and
derive NPP estimates and finally to compare these results to
NPP estimates derived using C:N value reported in literature
and derived from field measurements. Results from this research indicate that NPP estimates using the HyMap predicted C:N differed significantly from those when C:N
values from “global” or “regional” measurements were used.
Extending the current research to broader spatial scales can
help to initialise, validate and adjust better ecological
process models.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not refereed, further contribution
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Uncontrolled Keywords:Ecosystem process model, hyperspectral remote sensing, C:N ratio, Biome-BGC, grasslands
Language:English
Event End Date:11 July 2008
Deposited On:24 Oct 2008 06:52
Last Modified:21 Nov 2017 13:32
ISBN:978-1-4244-2807-6
Additional Information:Copyright 2008 IEEE. Published in the IEEE 2008 International Geoscience & Remote Sensing Symposium (IGARSS 2008), scheduled for July 6-11, 2008 in Boston, Massachusetts, U.S.A. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the IEEE. Contact: Manager, Copyrights and Permissions / IEEE Service Center / 445 Hoes Lane / P.O. Box 1331 / Piscataway, NJ 08855-1331, USA. Telephone: + Intl. 908-562-3966.
Publisher DOI:https://doi.org/10.1109/IGARSS.2008.4778991
Official URL:http://www.igarss08.org/
Related URLs:https://www.zora.uzh.ch/4012/
https://www.zora.uzh.ch/9114/
https://www.zora.uzh.ch/9121/

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