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Assimilation of satellite observations for the estimation of Savanna gross primary production

Author:
  • Michele Meroni
  • Felix Rembold
  • Mirco Migliavacca
  • Jonas Ardö
Publishing year: 2015-11-10
Language: English
Pages: 3416-3418
Publication/Series: 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
Document type: Conference paper
Publisher: Institute of Electrical and Electronics Engineers Inc.

Abstract english

Monitoring vegetation gross primary production (GPP) is required for both carbon balance studies and early warning systems aiming to detect unfavorable crop and pasture conditions. This manuscript describes the assimilation of MODIS observations by a simple process model, fed by meteorological data (temperature, incident radiation and rainfall) and linked with a canopy reflectance model, to estimate GPP. GPP simulations are benchmarked against eddy covariance data collected in a semi-arid environment of a sparse Savanna in the Sudan.

Keywords

  • Physical Geography
  • assimilation
  • GPP
  • MODIS
  • process model
  • radiative transfer

Other

IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
2015-07-26 - 2015-07-31
Milan, Italy
Published
  • ISBN: 9781479979295
E-mail: jonas [dot] ardo [at] nateko [dot] lu [dot] se

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Dept of Physical Geography and Ecosystem Science

+46 46 222 40 31

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Dept of Physical Geography and Ecosystem Science

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Department of Physical Geography and Ecosystem Science
Lund University
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S-223 62 Lund
Sweden

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