Remote Sensing of Soil Properties @ National and Regional Scales Alan Marks CSIRO Land and Water...
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Transcript of Remote Sensing of Soil Properties @ National and Regional Scales Alan Marks CSIRO Land and Water...
Remote Sensing of Soil Properties@ National and Regional Scales
Alan Marks
CSIRO Land and Water
Monday 22 Sept., 2008
Water for a Healthy Country
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Modellers’ Wish List …..
• Spatially-varying maps of:
• Ksat• Wilting point and field capacity SMC• Soil Porosity• Soil Layer Depth• Soil Bulk Density• % Clay, % Sand
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Problems associated with polygon soil properties
Modelled LST for field capacity SMC
NOAA-18 AVHRR LST 2005-10-02
LST(K)
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10 Sandy soil
1 Sandy-loam soil0.50 Clay-loam soil0.34 Unknown, set to loam
0.05 Clay or silty-clay soil
Water body
Grass
Shrub
Tree
Vegetation Properties
Physical parameterscanopy height, leaf width, …
Micrometeorological parametersreference height, zero plane displacement,
roughness length, …Physiological parameters
maximum stomatal conductance, fraction root biomass, …
Soil Properties
Hydrological parametersSaturation hydraulic conductivity, Min/max soil moisture content, …
Compositionporosity, %clay & % sand, …
Physical propertieslayer depth, …
Soil texture classification
Land cover classification
7.0
0.0
3.5
LAI
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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 ……
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Collaboration with Mario Ferri, Landgate
teASM
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138.0
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Decay Curve Values
POS LAT LON A t half
(days)r2
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
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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
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Soil Moisture Saturation Index (MTSAT)
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Optical Remote Sensing – Clay/Sand Cudahy/Hewson CSIRO
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Radiometrics & DEM Analysis
Radiometric image of NSW with ASRIS soil polygons
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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