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

Michele Meroni, Felix Rembold, Mirco Migliavacca, Jonas Ardö

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages3416-3418
Number of pages3
ISBN (Electronic)9781479979295
DOIs
Publication statusPublished - 2015 Nov 10
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 2015 Jul 262015 Jul 31

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/TerritoryItaly
CityMilan
Period2015/07/262015/07/31

Subject classification (UKÄ)

  • Physical Geography

Free keywords

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

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