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

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Presentation on theme: "Remote Sensing of Soil National and Regional Scales Alan Marks CSIRO Land and Water Monday 22 Sept., 2008 Water for a Healthy Country."— Presentation transcript:

1 Remote Sensing of Soil 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 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 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) r2r ~ ~ ~ ~ ~ ~ 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


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