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

Summary, in 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.

• Författare: Michele Meroni; Felix Rembold; Mirco Migliavacca; Jonas Ardö
• Avdelning/ar: Institutionen för naturgeografi och ekosystemvetenskap
• Publiceringsår: 2015-11-10
• Språk: Engelska
• Sidor: 3416-3418
• Publikation/Tidskrift/Serie: 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
• Länkar: http://dx.doi.org/10.1109/IGARSS.2015.7326553
• Dokumenttyp: Konferensbidrag
• Förlag: IEEE - Institute of Electrical and Electronics Engineers Inc.
• Ämne: Physical Geography
• Nyckelord: assimilation; GPP; MODIS; process model; radiative transfer
• Conference name: IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
• Conference date: 2015-07-26 - 2015-07-31
• Conference place: Milan, Italy
• Status: Published
• ISBN/ISSN/Övrigt: ISBN: 9781479979295