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Improved ECOsystem PROductivity modeling by innovative algorithms and remotely sensed PHEnology indicaTors (ECOPROPHET).

Context and objectives

Ecosystems supply a huge variety of services to society. Many of those services are related to biomass production, for instance food and fibre production (provision services) and carbon sequestration (regulation services). This has encouraged substantial scientific efforts to estimate ecosystem productivity. Nevertheless, current estimates of net primary production are highly uncertain and there is room for improvement. The increasing availability of spaceborne observations and high capabilities of recently launched satellite missions represent important opportunities to improve current estimates.

In the ECOPROPHET project we intend to improve simulations of ecosystem productivity by using new Earth Observation products from different platforms (e.g. ESA Sentinel 2, Proba-V, MODIS, GOME) that reflect canopy functioning (e.g. chlorophyll content indices, green NDVI, Red-edge, Photochemical Reflectance Index (PRI), Clorophyll Fluorescense (CF)).

The scientific objectives of this project are:

  • to identify the best photosynthesis-related RS indicator(s) for representing functional ecosystem phenology;
  • to obtain a better estimation of GPP and energy balance by reparameterizing the phenology modules of two Land Surface models (LSMs; ORCHIDEE and SURFEX), and prescribing different phenology for a third (LSA-SAF);
  • to explore the potential of the new RS indicator(s) for deriving a new GPP product; and
  • to develop a new biomass production algorithm.


All products and simulations will be validated against field data available from several databases (ICOS, FLUXNET, SPECNET and the in-house biomass production database) and compared to other products available from different projects. A specific working package on validation will be set-up.

For further details see the ECOPROPHET web site (http://ecoprophet.meteo.be).

 

Methodology

The activities in the Ecoprophet project and the inter-institutional collaboration are organized in work packages, as illustrated in following scheme.

 

Results

RMI team contributes to ECOPROPHET at several levels, in particular doing research on moderate/high resolution modelling of water, energy and CO2 fluxes. As one of the first step, it has contributed to study the spatial homogeneity around ground fluxes sites in view to the selection of reference validation sites.

Histograms of NDVI values at a specific dates give insight on the heterogeneity in vegetated cover across a given area and how it varies in different seasons. The following Figure shows NDVI histograms derived from Sentinel-2 observations in winter and summer at two locations: Lonzee (crops) and Brasschaat (Scots pine forest). The histograms were built for three different area sizes around eddy covariance towers and may help in determining the diversity of sources impacting the measurements.

 

Execution

Period: 12/2016 – 7/ 2021.

RMI participants: Miguel Barrios (developer and scientist), Alirio Arboleda and Nicolas Ghilain (scientists), Françoise Meulenberghs and Rafiq Hamdi (scientific coordination and administration).

Partner Institutions: The project is powered by the expertise of an international consortium of scientific institutions: the Centre of Excellence PLECO of the University of Antwerp, the Royal Meteorological Institute of Belgium, the Centre for Research on Ecology and Forestry Application (CREAF), Catalonia, Spain; the Laboratoire de Sciences du Climat et l’Environment (LSCE), France and the College of Urban and Environmental Sciences, Peking University, China.

Funding source: Belspo Stereo3 program (contract SR/00/334) and RMI.

 

References

Barrios, J.M., Gellens-Meulenberghs, F., Hamdi, R., Wieneke, S., Janssens, I., Balzarolo, M., 2017: Landscape heterogeneity around ICOS Belgian eddy covariance sites investigated through satellite imagery.Poster presented at: ICOS Belgium Science Conference. Gembloux, Belgium.

Barrios, J.M., Gellens- Meulenberghs, F., Hamdi, R., Wieneke, S., Janssens, I. and Balzarolo, M., 2018: Landscape heterogeneity around flux measurement stations investigated through Sentinel-2 and PROBA-V satellite imagery. Proceedings of the SPIE Remote Sensing. Berlin, 10-13 September 2018, 13 pp.

Janssens, I., Balzarolo, M., Wieneke, S., Maleki, M., Vicca, S., Campioli, M., Gellens-Meulenberghs, F., Hamdi, R., Barrios, M., Ciais, P., Maignan, F., Bastos, A., Piao, S., Peng, S., 2017: ECOPROPHET Improved ECOsystem PROductivity Modeling by Innovative Algorithms and Remotely Sensed PHEnology Indicators. Poster presented at: ICOS Belgium Science Conference, Gembloux, Belgium.

Maleki, M.; Wieneke, S.; Barrios, J. M.: Liu, Q.; Janssens, I.; Balzarolo, M., 2018: Identification of Novel Remote Sensed Based Indicators for Phenology. Abstract, EGU 2018, 8-13 April, Vienna, Austria.