EEA – Copenhague 1 18 - 19 May 2006 Net Primary Production derived from land products Remote Sensing Data Overview Nadine Gobron With collaboration from.

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EEA – Copenhague May 2006 Net Primary Production derived from land products Remote Sensing Data Overview Nadine Gobron With collaboration from STARS Group

EEA – Copenhague May 2006 CLC provides information at 250 m for year 2000 Actual JRC-FAPAR products are derived from optical instruments at medium resolution at least at 1.2 km PAR from surface downward solar irradiance at 1.5 deg Scientific Context August 2000

EEA – Copenhague May 2006 SeaWiFS: JRC-FAPAR datasets;10/ /2004 at global scale 2 km MERIS: ESA Level 2 products; 06/2002-end of mission at 1.2 km (Full resolution at 300 m not operational) Level 3, i.e. time composite products, are produced at JRC through the Grid on demand service (ESRIN) with JRC codes. MODIS (2000-end of mission) : JRC-FAPAR algorithm (both Level 2 and Level 3) has been developed at 1 km/500 m/250 m but there is no operational processing. Actual Data Sets April 2003 MODIS April 2004 SeaWiFS April 2005 MERIS

EEA – Copenhague May 2006 AGRO JRC-FAPAR MODIS at 1.0 km JRC-FAPAR SeaWiFS at 2.17 km JRC-FAPAR MERIS at 1.2 km Gobron N., et. al. (2006) Evaluation of FAPAR Products for Different Canopy Radiation Transfer Regimes: Methodology and Results using JRC Products Derived from SeaWiFS and Ground-based Estimations', JGR, in press Validation of Ref: Turner et al FAPAR 1.-exp(-0.5 ) from PCA_LICOR Advanced procedure for spatio-temporal changes of local LAI 2003 JRC-FAPAR SeaWiFS at 2.17 km

EEA – Copenhague May 2006 Merging products 10-day SeaWiFS10-day MERIS10-day MODIS 10-day 3 Sensors NUMBER OF OBSERVATION SENSORS

EEA – Copenhague May 2006 MERIS: ESA Level 2 products at full resolution at 300 m are not yet operationally produced by ESA. Remote sensing data at higher resolution Once installed, FAPAR-processor is automatically detected by VISAT (the BEAM main application, see ). The FAPAR processor appears in the Tools menu of the VISAT application. The FAPAR product created can be saved in several formats (HDF5, BEAM-DIMAP).

EEA – Copenhague May 2006 MODIS algorithm has been adapted to be used at 250 m. Remote sensing data at higher resolution

EEA – Copenhague May 2006 Rectification g1 and g2 Sub Sample 500 m Rectification g1 and g2 MODIS 1 km Angles FLAG Pixel Identification Original JRC-FAPAR 500 m Ref: N. Gobron, O. Aussedat, B. Pinty (2006) Moderate Resolution Imaging Spectro-radiometer (MODIS) - JRC-FAPAR Algorithm Theoretical Basis Document Institute for Environment and Sustainability, EUR EN

EEA – Copenhague May 2006 Sub Sample 500 m Rectification g1 and g2 Rectification g1 and g2 Sub Sample 250 m 250 m MODIS 250 m BRF RED TOA BRF NIR TOA Rectification New Factor MODIS 1 km Angles FLAG Pixel Identification Patch JRC-FAPAR 250 m Ref: N. Gobron, O. Aussedat, B. Pinty (2006) Moderate Resolution Imaging Spectro-radiometer (MODIS) - JRC-FAPAR Algorithm at 250 m Theoretical Basis Document Institute for Environment and Sustainability, EUR In Press

EEA – Copenhague May 2006 Harvard window [41.54N-43.54N, 83.17W-83.17W] 2002/09/06 FAPAR with 250m/500m FAPAR with 500m/1000m (zoom at 200%) FAPAR Comparison 2002/09/06

EEA – Copenhague May 2006 FAPAR Comparison 2002/09/06 Harvard window [41.54N-43.54N,83.17W-83.17W]

EEA – Copenhague May 2006 FAPAR Comparison 2003/06/01 Harvard window [41.54N-43.54N,83.17W-83.17W]

EEA – Copenhague May 2006 Times Series of FAPAR over km Harvard Gobron N., et. al. (2006) Evaluation of FAPAR Products for Different Canopy Radiation Transfer Regimes: Methodology and Results using JRC Products Derived from SeaWiFS and Ground-based Estimations', JGR, in press Ref: Turner et al FAPAR 1.-exp(-0.58 ) from PCA_LICOR Advanced procedure for spatio-temporal changes of local LAI Conifer/broad-leaf forest Ground-estimates 1 km

EEA – Copenhague May 2006 Times Series of FAPAR over m Ground-estimates 500 m 500 m Patch Harvard Gobron N., et. al. (2006) Evaluation of FAPAR Products for Different Canopy Radiation Transfer Regimes: Methodology and Results using JRC Products Derived from SeaWiFS and Ground-based Estimations', JGR, in press Ref: Turner et al FAPAR 1.-exp(-0.58 ) from PCA_LICOR Advanced procedure for spatio-temporal changes of local LAI Conifer/broad-leaf forest

EEA – Copenhague May 2006 Times Series of FAPAR over m Harvard Gobron N., et. al. (2006) Evaluation of FAPAR Products for Different Canopy Radiation Transfer Regimes: Methodology and Results using JRC Products Derived from SeaWiFS and Ground-based Estimations', JGR, in press Ref: Turner et al FAPAR 1.-exp(-0.58 ) from PCA_LICOR Advanced procedure for spatio-temporal changes of local LAI Conifer/broad-leaf forest 250 m Ground-estimates

EEA – Copenhague May 2006 Times Series of FAPAR over Harvard Harvard Gobron N., et. al. (2006) Evaluation of FAPAR Products for Different Canopy Radiation Transfer Regimes: Methodology and Results using JRC Products Derived from SeaWiFS and Ground-based Estimations', JGR, in press Ref: Turner et al FAPAR 1.-exp(-0.58 ) from PCA_LICOR Advanced procedure for spatio-temporal changes of local LAI Conifer/broad-leaf forest Ground-estimates 1 km 2 x 2 at 500 m 4 x 4 at 250 m

17 EEA – Copenhague May 2006 New products: Preliminary results Start and end of growing seasons derived from times series of 10-day FAPAR Ending Start

18 EEA – Copenhague May 2006 Case Study: where and when ? Small geographical window ? Period ?

EEA – Copenhague May 2006 Space disk needs to process one month over big Europe Inputs One day MODIS Radiances = 20 files at 250 m (20 x 287 MB = 5740 MB) + 20 files at 500 m (276 MB) + 20 files at 1 km (344 MB) One Month = MB (250 m) MB (500 m) MB (1 km) = MB = 550 GB Final Outputs at 250 m Single daily product = 6756 MB Monthly production = MB = 204 GB MODIS processing at 250 m ?