Advanced

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

Meroni, Michele; Rembold, Felix; Migliavacca, Mirco and Ardö, Jonas LU (2015) IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 In 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings p.3416-3418
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.

Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
assimilation, GPP, MODIS, process model, radiative transfer
in
2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
pages
3 pages
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
external identifiers
  • Scopus:84962556180
DOI
10.1109/IGARSS.2015.7326553
language
English
LU publication?
yes
id
3c4111d7-a63f-4831-b267-61da310e7c29
date added to LUP
2016-09-22 12:58:43
date last changed
2016-10-04 15:19:01
@misc{3c4111d7-a63f-4831-b267-61da310e7c29,
  abstract     = {<p>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.</p>},
  author       = {Meroni, Michele and Rembold, Felix and Migliavacca, Mirco and Ardö, Jonas},
  keyword      = {assimilation,GPP,MODIS,process model,radiative transfer},
  language     = {eng},
  month        = {11},
  pages        = {3416--3418},
  publisher    = {ARRAY(0x9c808e0)},
  series       = {2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings},
  title        = {Assimilation of satellite observations for the estimation of Savanna gross primary production},
  url          = {http://dx.doi.org/10.1109/IGARSS.2015.7326553},
  year         = {2015},
}