1. Remote Sensing of Soil Properties @ National and Regional Scales Alan Marks CSIRO Land and Water Monday 22 Sept., 2008 Water for a Healthy Country

2. Insert presentation title Modellers’ Wish List ….. Spatially-varying maps of: Ksat Wilting point and field capacity SMC Soil Porosity Soil Layer Depth Soil Bulk Density % Clay, % Sand

3. Insert presentation title Problems associated with polygon soil properties Modelled LST for field capacity SMC NOAA-18 AVHRR LST 2005-10-02 LST(K)

4. Insert presentation title 10 Sandy soil 1 Sandy-loam soil 0.50 Clay-loam soil 0.34 Unknown, set to loam 0.05 Clay or silty-clay soil Water body Grass Shrub Tree Vegetation Properties Physical parameters canopy height, leaf width, … Micrometeorological parameters reference height, zero plane displacement, roughness length, … Physiological parameters maximum stomatal conductance, fraction root biomass, … Soil Properties Hydrological parameters Saturation hydraulic conductivity, Min/max soil moisture content, … Composition porosity, %clay & % sand, … Physical properties layer depth, … Soil texture classification Land cover classification 7.0 0.0 3.5 LAI

5. Insert presentation title Current Approach Active/Passive microwave, dry-down curve analysis MTSAT thermal inertia and dry-down curves Optical Remote Sensing for clay/sand mapping Airborne Gamma-Ray Spectrometry (Radiometrics) Cal/Val. NAFE, PGNA ……

6. Insert presentation title Collaboration with Mario Ferri, Landgate eeeeeeeeeeeeeeeeeee week 1 eeeeeeeeeeeeeeee week 2 eeeeeeeeeeeeeeee week 3 eeeeeeeeeeeee week 4 e222222

7. Insert presentation title Decay Curve Values POSLATLON A  t half (days) r2r2 5-26.096116.61397.70.058~ 120.93 6-26.096116.873126.40.091~ 7.50.94 7-26.096117.133148.50.114~ 60.94 8-26.096117.393170.20.137~ 50.98 9-26.096117.653180.70.137~ 50.97 10-26.096117.913185.70.138~ 50.96

8. Insert presentation title MTSAT – Thermal Inertia – Mario Ferri Monitoring soil moisture at 4km spatial resolution or better Based on Apparent Thermal Inertia (ATI): based on logic that water bodies have higher thermal inertia than dry soils Interested in looking at dry-down curve approach with this data

9. Insert presentation title Soil Moisture Saturation Index (MTSAT)

10. Insert presentation title Optical Remote Sensing – Clay/Sand Cudahy/Hewson CSIRO

11. Insert presentation title Radiometrics & DEM Analysis Radiometric image of NSW with ASRIS soil polygons

12. Insert presentation title Calibration/Validation... Scaling Cal/Val is a necessity for these products Possible data fusion of higher resolution data and attributes Ground truthing and scaling NAFE/OzNet data From point to transect - PGNA