1. NAFE 3rd Workshop 17-18 Sept 2007 Vegetation Water Status from Optical Remote Sensing ___ Preliminary results from the NAFE05 experiment Philippe Maisongrande, Julian Kuhlmann Gilles Boulet, Bertrand Guerrero

2. NAFE 3rd Workshop 17-18 Sept 2007 Optical Remote Sensing and VWC -Rational (1)- REDNIR SWIR NDVI=(  nir-  red) (  nir+  red) SWVI=(  nir-  swir) (  nir+  swir)

3. NAFE 3rd Workshop 17-18 Sept 2007 Optical Remote Sensing and VWC -Rational (1)- REDNIR SWIR NDVI=(  nir-  red) (  nir+  red) SWVI=(  nir-  swir) (  nir+  swir) stressed unstressed

4. NAFE 3rd Workshop 17-18 Sept 2007 Precipitation climatology -Australian Bureau of Meteo.- 1998->2006 average NDVI -Spot/VEGETATION data-

5. NAFE 3rd Workshop 17-18 Sept 2007 VEGETATION onboard SPOT 4&5 Operational Mission (available free data on the web) 4 channels: Blue (0.43 - 0.47 µm) Red(0.61 - 0.68 µm) Near InfraRed (NIR)(0.78 - 0.89 µm) Shortwave InfraRed(1.58 - 1.75 µm) Dayly global coverage (at km2 res.) & 10day synthesis corrected for atmospheric effects of consistent archive9 years of consistent archive (1998-2006) A third mission under study MODIS differences (aqua&terra) 1.3 and 2.3 µm 250m (Red&NIR) 500m otherwise No 1.6 µm (aqua)

6. NAFE 3rd Workshop 17-18 Sept 2007 El Niño & La Niña Events Maisongrande, Kuhlmann et al. MODSIM 2007

7. NAFE 3rd Workshop 17-18 Sept 2007 NDVI & SWVI vs Southern Oscillation Index Maisongrande, Kuhlmann et al. MODSIM 2007 NDVI SWVI

8. NAFE 3rd Workshop 17-18 Sept 2007 RATIONAL (2) VWC ~ 1-(EC’/A’C’) -> A*NDVI-B*SWVI+C > NDVI-SWVI (  )

9. NAFE 3rd Workshop 17-18 Sept 2007 (NDVI-SWVI) vs Southern Oscillation Index 1.5*D-0.75 0.15+SOI/100 Maisongrande, Kuhlmann et al. MODSIM 2007

10. NAFE 3rd Workshop 17-18 Sept 2007 FOCUS on NAFE2005 Database handling and organization (multi-layer consistency) Preparation of the Land Use Land Cover map (LULC) Preliminary analysis -Satellite indices against in situ measurements of Vegetation Water Content (VWC)

11. NAFE 3rd Workshop 17-18 Sept 2007 Insitu Ancilary Satellite (or infered from it) DATABASE organization and handling exhaustive sparse

12. NAFE 3rd Workshop 17-18 Sept 2007

14. NDVI & SWVI vs Southern Oscillation Index Maisongrande, Kuhlmann et al. MODSIM 2007

15. NAFE 3rd Workshop 17-18 Sept 2007 Open woodland Bare soil forest crop Native grass

16. NAFE 3rd Workshop 17-18 Sept 2007 Open woodland Bare soil forest crop Native grass NDVI SOI

17. NAFE 3rd Workshop 17-18 Sept 2007 NDVI_VGT vs VWC

18. NAFE 3rd Workshop 17-18 Sept 2007 SWVI_VGT vs VWC

19. NAFE 3rd Workshop 17-18 Sept 2007  _VGT vs VWC

20. NAFE 3rd Workshop 17-18 Sept 2007 2 1 3 11 37 36 5 15 6 4 Regression between VGT VIs and VWC for various classes r2r2

21. NAFE 3rd Workshop 17-18 Sept 2007 01/11 03/11 7/ 11 9 /11 12 of November 17 of November 21 of November SWVI SPOT/VGT2 10day composite images SPOTVGT2 Dates composite MODIS Available and clear dates dates Imgclass.m SPOT/ VEGETATION 10day composite products = Each S10 image is a patchwork of dates S30 S31 S32

22. NAFE 3rd Workshop 17-18 Sept 2007 R2 sensitivity to the time lag between field VWC and satellite measurements

23. NAFE 3rd Workshop 17-18 Sept 2007 NDVI 12/11 MODIS vs VGT

24. NAFE 3rd Workshop 17-18 Sept 2007 NDVI_MODIS vs VWC

25. NAFE 3rd Workshop 17-18 Sept 2007 NDVI_VGT vs VWC

26. NAFE 3rd Workshop 17-18 Sept 2007 2 1 3 13 38 40 6 16 6 6 Regression between MODIS VIs and VWC for various classes r2r2

27. NAFE 3rd Workshop 17-18 Sept 2007 2 1 3 11 37 36 5 15 6 4 Regression between VGT VIs and VWC for various classes r2r2

28. NAFE 3rd Workshop 17-18 Sept 2007 R2 sensitivity to the time lag between field VWC and MODIS measurements

29. NAFE 3rd Workshop 17-18 Sept 2007 Strong effort on the organization collect of VGT images, consistency Classification labeled thanks to in situ inquiries, but the labeling has to be considered with care. CONCLUSIONS Toward modeling studies involving prepared layers, (optical and thermal data). SMOS L2 ->L4 ; NAFE06 Investigation on the potential of optical sat. data to assess the plant water status: Disappointing with SPOT/VGT (1km2=pixel heterogeneity) Encouraging with MODIS (250m) Relative good score for SWVI (2.1  m) compared to NDVI and . (no way to evaluate 1.6  m @250m resolution)