Welcome to the  
SMAPEx-3 Archive
Soil Moisture Active Passive Experiment
 

Surface Roughness Sampling

Soil surface roughness affects both the radiometric and radar observations. Radar observations can, in certain conditions, be more sensitive to surface roughness than soil moisture itself due to the increased scattering of the incoming radiation. Moreover, surface roughness affects the radiometric observations by effectively increasing the surface area of electromagnetic wave emission. Its effect on observations at L-band frequency has been difficult to quantify, and therefore it is crucial to characterise the spatial variation of this parameter across the different land cover types.

During SMAPEx-3 surface roughness was characterized at 3 locations within each major land cover type in the six focus radar pixel areas and at the 50 sites in the forest sampling area. A dedicated team was in charge of the surface roughness measurements. At each of the locations two, 3m-long surface profiles were recorded, one oriented parallel to the look direction of the PLIS radar (East-West) and one perpendicular (North-South). Surface roughness was also measured at selected forest sites once during the campaign. Two perpendicular measurements per site were taken. The location was to be selected by team leader and could be inside of one of the subplots or in the buffer areas, but must be located under the forest canopy following the established protocols. For sites with sparse forest cover the roughness were taken for the most representative vegetation type (e.g. grass, shrubs, etc.). For each roughness profile photos of the surrounding vegetation were taken. Complete details on the surface roughness sampling strategy and protocols can be found in the SMAPEx-3 workplan.


roughness sampling
The roughness pin profiler and sampling activity

Surface roughness sampling schedule

Focus area

Surface type

Date sampled

Nr.
measurements

YA7

Savanna

08/09

3

YA7

Wheat

08/09

6

YA7

Wheat

22/09

2

YA7

Bare soil

12/09

6

YA7

Bare soil

20/09

1

YA7

Fallow

22/09

1

YA4

Fallow

04/09

3

YA4

Fallow

06/09

6

YA4

Fallow

20/09

1

YA4

Fallow

22/09

1

YA4

Wheat

06/09

6

YA4

Wheat

22/09

1

YA4

Bare soil

08/09

3

YA4

Bare soil

20/09

1

YA4

Bare soil

22/09

2

YA4

Pasture

08/09

3

YD

Canola

12/09

3

YD

Bare soil

22/09

4

YD

Pasture

22/09

1

YB5

Pasture

14/09

5

YB7

Pasture

14/09

3

YC

Pasture

14/09

3

Forest

Forest

20/09

8

 

Surface Roughness Processing

Surface roughness statistics were calculated using the QuiP MATLAB software package. Users can download all data via the Download Centre. Data were processed as follows:

1. Surface roughness statistics were calculated on the raw profile and are provided in the "one scale" columns (NOTE: correlation length is calculated from the experimental Autocorrelation function)

2. In the cases where multi-scale roughness was observed, spectral analysis was performed to separate the high (microscopic) from the low frequency roughness. All statistics are provided in the "two scale" columns, together with the frequency K (in radians/meter) used to separate the high from the low frequency component of the roughness spectrum by Fourier transform.

3. In the case where a periodic structure was observed, a mathematical function was fitted to model the variation in local incidence angle due to the periodic structure. The average, minimum and maximum of the values of the function parameters for each paddock were derived from the experimental profiles.

Example of function to model periodic structure

 

 

Created: July 2010
Last Modified: October 2011
Maintainer: Xiaoling Wu, xiaoling.wu@monash.edu