DSD-INT 2018 Monitoring Soft Soils With Satellite Radar Interferometry - Hanssen

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Presentation by Ramon Hanssen (SkyGeo) at the Data Science Symposium 2018, during Delft Software Days - Edition 2018. Thursday 15 November 2018, Delft.

Software

1
Monitoring soft soils with
satellite radar interferometry
Ramon Hanssen
Floris Heuff
Data Science Symposium, Delft, 14/11/18 r.f.hanssen@tudelft.nl

2
Drainage and subsidence
canal
CO2, CH4, N2O
peatpeat

3
“Subsidence of pastures on peat soils not
measurable”

12Challenge the future
November 15, 2018 12

13Challenge the future
Surface deformation map of the Netherlands

14Challenge the future
November
15, 2018
14

33
Approach
• Combine all satellites
– Envisat,TerraSAR-X, RadarSAT en ALOS II
• Suppress noise (250 m pixels)
• Estimate subsidence and seasonal effects
• 138 acquisitions over 5 years

34
2007-2012
(Morishita & Hanssen, 2015)

35
2007-2012
(Morishita & Hanssen, 2015)
AHN

36
2007-2012
(Morishita & Hanssen, 2015)

37
Daling (blauw) van maaiveld [mm/y]
Conclusions 2007-2012
• Estimated subsidence
• Spatial pattern OK
• Temporal pattern OK
• But velocity can be too high
(Morishita & Hanssen, 2015)

44
Animation first results (vertical)
28 July 2016 - 22 October 2017

58
Dikes and soil moisture
Ozer,Van Leijen, Jonkman, Hanssen, Nature Geoscience (in review), 2018

59Ozer,Van Leijen, Jonkman, Hanssen, Nature Geoscience (in review), 2018

60Ozer,Van Leijen, Jonkman, Hanssen, Nature Geoscience (in review), 2018

61Ozer,Van Leijen, Jonkman, Hanssen, Nature Geoscience (in review), 2018

62
Soil moisture and deformation: synergies
•  Soil moisture changes cause volumetric
changes, thus, deformation
• Deformation can be used to infer soil
moisture
• Where do both fields meet?

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