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NAFE

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NAFE 05 HYDRA PROBE DATA Rocco Panciera and Jeffrey Walker University of Melbourne Jetse Kalma University of Newcastle NAFE 05 soil moisture objectives Top 5cm ... – PowerPoint PPT presentation

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Title: NAFE


1
  • NAFE05
  • HYDRA PROBE DATA
  • Rocco Panciera and Jeffrey Walker
  • University of Melbourne
  • Jetse Kalma
  • University of Newcastle

2
NAFE05 soil moisture objectives
  • Top 5cm water content spatial monitoring using
    Stevens Water Hydra probe
  • Farm scale monitoring at multiple resolutions
    (6.25m to 1km), every 2-3 days
  • Regional scale monitoring at low resolution
    (1km), weekly.

3
Regional data
31/10/05
Elevation
Rainfall
Soil type
Cumulated Monthly Rainfall (mm)
4
Regional data Krui area
5
Soil moisture data Merriwa area
6
Farm scale data Pembroke
NDVI
7
Farm scale data Stanley
NDVI
8
Farm scale data Illogan
NDVI
Aerial photo
BE Black Earths heavy clay soils (clay
content usually 50-80) with uniform
texture profi E Euchrozems red, strongly
structured, clay soils
Soil type
9
Farm scale data Dales
NDVI
10
Farm scale data Merriwa Park
NDVI
11
Farm scale data Cullingral
Aerial photo
12
High resolution data - Pembroke
Aerial photo
Soil moisture
NDVI
  • Variable vegetation cover
  • Native grass/ Barley
  • Microtopography

13
High resolution data - Stanley
  • Microtopography
  • Uniform vegetation cover

Aerial photo
Soil moisture
NDVI
14
High resolution data - Illogan
Soil moisture
Aerial photo
  • Variable vegetation cover
  • Barley / Oat
  • Flat topography

NDVI
15
High resolution data - Midlothian
Soil moisture
NDVI
  • Variable vegetation cover
  • crop / bare soil
  • Flat topography

16
High resolution data Merriwa Park
NDVI
Soil moisture
  • Microtopography
  • Uniform vegetation cover

17
High resolution data Cullingral
NDVI
Soil moisture
  • Variable vegetation cover
  • Wheat / Barley
  • Flat topography

18
Conclusions
  • NAFE05 soil moisture sampling objectives
    achieved
  • - multi-resolution
  • - spatial coverage
  • - temporal coverage
  • Data collected show sensible correlation with
    land surface features (veg biomass, soil texture,
    topography etc)

Future work
  • Validation of PLMR soil moisture product
  • Analysis of PLMR brightness temperatures scaling
    properties and relation with multi-scale ground
    data
  • Development and testing of downscaling technique
    for SMOS application
  • Improvement of soil moisture retrieval techniques
    from multi-angle passive microwave observations

19
How can we do better in NAFE06?
Possible Solution
Problem
  • Different material
  • More compact design
  • Permanent connections
  • Smaller battery
  • ???
  • Improve software stability
  • Daily data processing/check
  • Pole too flexible in hard soil 
  • Loose cables
  • Loose electrical connections
  • Heavy battery
  • Prongs bended by stones
  • iPaq software errors
  • Missing data

20
NAFE'05
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