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

EEA – Copenhague 18 - 19 May 20061

Net Primary Production derived from land products

Remote Sensing Data Overview

Nadine Gobron

With collaboration from STARS Group


• 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


• SeaWiFS: JRC-FAPAR datasets;10/1998-12/2004 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


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. 2005FAPAR ≈ 1.-exp(-0.5<LAI>)<LAI> from PCA_LICOR Advanced procedure for spatio-temporal changes of local LAI

2003 ● JRC-FAPAR SeaWiFS at 2.17 km


Merging products10-day SeaWiFS 10-day MERIS 10-day MODIS

10-day 3 Sensors

1 6 9 12 15 18 21 24 30NUMBER OF OBSERVATION

SENSORS


• 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 http://www.brockmann-consult.de/). 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).


• MODIS algorithm has been adapted to be used at 250 m.

Remote sensing data at higher resolution


RECTIFIED REDRECTIFIED RED

RECTIFIED NIRRECTIFIED NIR

Rectificationg1 and g2

FAPARFAPAR

Sub Sample

ANGLES @ 500 mMODIS 500mMODIS 500m

BRF RED TOABRF RED TOA BRF NIR TOABRF NIR TOA BRF BLUE TOABRF BLUE TOA


MODIS 1 kmAngles

FLAG Pixel Identification

Original JRC-FAPAR Algorithm @ 500 mRef: 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 22164 EN


TOA divided by RECTIFIED

TOA divided by RECTIFIED

FACTOR OF RECTIFIED REDFACTOR OF

RECTIFIED RED

FACTOR OF RECTIFIED NIRFACTOR OF

RECTIFIED NIR

RECTIFIED RED

RECTIFIED NIR

FAPAR

Sub Sample

ANGLES @ 500 mMODIS 500mMODIS 500m

BRF RED TOABRF RED TOA BRF NIR TOABRF NIR TOA BRF BLUE TOABRF BLUE TOA

RECTIFIED REDRECTIFIED RED

RECTIFIED NIRRECTIFIED NIR


FAPARFAPAR


Sub Sample

BLUE @ 250 m ANGLES @ 250 m

MODIS 250 m

BRF RED TOA

BRF NIR TOA

RectificationNew Factor

MODIS 1 kmAngles



Patch JRC-FAPAR Algorithm @ 250 mRef: 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


Harvard window [41.54N-43.54N,83.17W-83.17W]

2002/09/06

FAPAR with 250m/500m

FAPAR with 500m/1000m

FAPAR @500m FAPAR @1km (zoom at 200%)

FAPAR Comparison 2002/09/06








Times Series of FAPAR over Harvard @1 km

Harvard



Conifer/broad-leaf forest

Ground-estimates

● 1 km


Times Series of FAPAR over Harvard @500 m

Ground-estimates

● 500 m

● 500 m Patch

Harvard





Times Series of FAPAR over Harvard @250 m

Harvard




● 250 m

Ground-estimates


Times Series of FAPAR over Harvard

Harvard




Ground-estimates

● 1 km

● 2 x 2 at 500 m

● 4 x 4 at 250 m

18 - 19 May 200617

EEA – Copenhague

New products: Preliminary results

• Start and end of growing seasons derived from times series of 10-day FAPAR.

1 6 12 19 24 21 26 32 39 44 Ending

Start

18 - 19 May 200618

EEA – Copenhague

Case Study: where and when ?

• Small geographical window ?

• Period ?


Space disk needs to process one month over “big” Europe

InputsOne 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 = 177940 MB (250 m) + 171120 MB (500 m) +213289 MB (1 km) = 562 349 MB = 550 GB

Final Outputs at 250 m

Single daily product = 6756 MB

Monthly production = 209 436 MB = 204 GB

MODIS processing at 250 m ?

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

Documents

jrcfapar seawifs

jrcfapar meris

fapar comparison

fapar processor

jrcfapar datasets101998

evaluation of fapar

250m500m fapar

500m1000m fapar