Remote Sensing of Soil Properties National and Regional

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

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

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

Soil texture classification 10 Soil Properties Sandy soil Hydrological parameters 1 Sandy-loam soil 0. 50 Clay-loam soil 0. 34 Unknown, set to loam Saturation hydraulic conductivity, Min/max soil moisture content, … Composition porosity, %clay & % sand, … Physical properties layer depth, … Land cover classification 0. 05 Clay or silty-clay soil Vegetation Properties Tree Shrub Grass Water body Physical parameters canopy height, leaf width, … Micrometeorological parameters reference height, zero plane displacement, roughness length, … Physiological parameters maximum stomatal conductance, fraction root biomass, … LAI 7. 0 3. 5 Insert presentation title 0. 0

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 …… Insert presentation title

Collaboration with Mario Ferri, Landgate eeeeeeeeeeweek 1 eeeeeeeeweek 2 eeeeeeeeweek 3 eeeeeeeweek 4 e 222222 Insert presentation title

Decay Curve Values POS LAT LON A b t half (days) r 2 5 -26. 096 116. 613 97. 7 0. 058 ~ 12 0. 93 6 -26. 096 116. 873 126. 4 0. 091 ~ 7. 5 0. 94 7 -26. 096 117. 133 148. 5 0. 114 ~6 0. 94 8 -26. 096 117. 393 170. 2 0. 137 ~5 0. 98 9 -26. 096 117. 653 180. 7 0. 137 ~5 0. 97 10 -26. 096 117. 913 185. 7 0. 138 ~5 0. 96 Insert presentation title

MTSAT – Thermal Inertia – Mario Ferri • Monitoring soil moisture at 4 km 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 Insert presentation title

Soil Moisture Saturation Index (MTSAT) Insert presentation title

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

Radiometrics & DEM Analysis Radiometric image of NSW with ASRIS soil polygons 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/Oz. Net data • From point to transect - PGNA Insert presentation title