Skip to main content

Surface Soil Moisture Retrieval Using C-Band Synthetic Aperture Radar (SAR) over Yanco Study Site, Australia—A Preliminary Study

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 33))

Abstract

The motto of this work is to evaluate retrieval of surface soil moisture (5 cm) using Sentinel-1a C-band data Synthetic Aperture Radar (SAR). Data for this study is collected from Yanco Study site, Australia. Yanco study site consists of 37 soil moisture measuring stations at every 20 min interval for various soil depths and it also provides other Hydro-Meteorological information. SAR backscattered energy is a function of soil roughness and soil moisture. Surface roughness is eliminated using change detection approach. The R2 performance statistics revealed that between Backscattered energy and NDVI there is no relation. Volumetric soil moisture and backscattered energy showed a positive correlation with R2 = 0.57 and 0.43 for VH and VV polarization. Dielectric constant also showed a positive correlation with backscattered energy having R2 = 0.62 and 0.38 for VH and VV polarization respectively. By taking into account of all these affecting parameters, a regional Semi-empirical model is developed to retrieve surface Soil moisture over the study area.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Baghdadi N, Zribi M (2006) Evaluation of radar backscatter models IEM, OH and Dubois using experimental observations Int. J Remote Sens 27(18):3831–3852

    Article  Google Scholar 

  2. Engman ET (1992) Soil moisture needs in earth sciences. In: Proceedings of international geoscience and remote sensing symposium (IGARSS), pp 477–447

    Google Scholar 

  3. Craig DM, Ulaby FT (1986) Active microwave soil moisture research. IEEE Trans Geosci Remote Sens GE-24:23–36

    Google Scholar 

  4. Engman ET, Chauhan N (1995) Status of microwave soil moisture measurements with remote sensing. Remote Sens Environ 51:189–198

    Article  Google Scholar 

  5. Dobson MC, Ulaby FT (1986) Preliminary evaluation of the SIR-B response to soil moisture, surface roughness, and crop canopy cover. IEEE Trans Geosci Remote Sens GE-24(4):517–526

    Article  Google Scholar 

  6. Hallikainen MT, Ulaby FT, Dobson MC, El-Rayes MA, Wu LK (1985) Microwave dielectric behavior of wet soil, I, empirical models and experimental observations. IEEE Trans Geosci Remote Sens 23(1):25–34

    Google Scholar 

  7. Kornelsen KC, Coulibaly P (2013) Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications. J Hydrol 476:460–489

    Article  Google Scholar 

  8. Ulaby FT, Percy PB (1976) Optimum radar parameters for mapping soil moisture. IEEE Trans Geosci Elect Ge-14(2):81–93

    Article  Google Scholar 

  9. Baghdadi N, Aubert M, Cerdan O, Franchistéguy L, Viel C, Eric M, Zribi M, Desprats JF (2007) Operational mapping of soil moisture using synthetic aperture radar data: application to the touch basin (France). Sensors 7:2458–2483

    Article  Google Scholar 

  10. Srivastava HS, Patel P, Manchanda ML, Adiga S (2003) Use of multi incidence angle RADARSAT-1 sar data to incorporate the effect of surface roughness in soil moisture estimation. IEEE Trans Geos Remote Sens 41(7):1638–1640

    Article  Google Scholar 

  11. Srivastava HS, Patel P, Navalgund RR (2006) Incorporating soil texture in soil moisture estimation from extended low-1 beam mode RADARSAT-1 SAR data. Int J Remote Sens 27(12):2587–2598

    Article  Google Scholar 

  12. Srivastava HS, Patel P, Sharma Y, Navalgund RR (2009) Large-area soil moisture estimation using multi-incidence-angle RADARSAT-1 SAR data. IEEE Trans Geosci Remote Sens 47(8):2528–2535

    Article  Google Scholar 

  13. Zribi M, Dechambre M (2002) A new empirical model to inverse soil moisture and roughness using two radar configurations. In: IEEE international geoscience and remote sensing symposium, vol.4. Toronto, Ontario, Canada, pp 2223–2225

    Google Scholar 

  14. Oh Y (2004) Quantitative retrieval of soil moisture content and surface roughness from multipolarized radar observations of bare soil surfaces. IEEE Trans Geosci Remote Sens 42:596–601

    Article  Google Scholar 

  15. Shi J, Wang JR, O’neill P, Engman ET (1997) Estimation of bare surface soil moisture and surface roughness parameters using L-band SAR image data. IEEE Trans Geosci Remote Sens 35(5):1–13

    Google Scholar 

  16. Smith AB, Walker JP, Western AW, Young RI, Ellett KM, Pipunic RC, Grayson RB, Siriwidena L, Chiew FHS, Richter H (2012) The Murrumbidgee soil moisture monitoring network data set. Water Resour Res 48 W07701, 6. https://doi.org/10.1029/2012wr011976

  17. Zribi M, Saux‐Picart S, André C, Descroix L, Ottlé C, Kallel A (2007) Soil moisture mapping based on ASAR/ENVISAT radar data over a Sahelian region. Int J Remote Sens 28(16):3547–3565. https://doi.org/10.1080/01431160601009680

    Article  Google Scholar 

  18. Dubois PC, van Zyl J, Engman T (1995) Measuring soil moisture with imaging radars. IEEE Trans Geosci Remote Sens 33(4):915–926

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to G. Punithraj .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Punithraj, G., Pruthviraj, U., Shetty, A. (2020). Surface Soil Moisture Retrieval Using C-Band Synthetic Aperture Radar (SAR) over Yanco Study Site, Australia—A Preliminary Study. In: Ghosh, J., da Silva, I. (eds) Applications of Geomatics in Civil Engineering. Lecture Notes in Civil Engineering , vol 33. Springer, Singapore. https://doi.org/10.1007/978-981-13-7067-0_8

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-7067-0_8

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7066-3

  • Online ISBN: 978-981-13-7067-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics