Skip to main navigation Skip to search Skip to main content

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

    Fingerprint

    Dive into the research topics of 'Assimilation of satellite observations for the estimation of Savanna gross primary production'. Together they form a unique fingerprint.

    Cite this