1887
  1. Home
  2. Conferences
  3. Conference Proceedings
  4. 10th International Workshop on Advanced Ground Penetrating Radar
  5. Conference paper

Abstract

Summary

We present a new drone-borne ground-penetrating radar (GPR) for soil moisture mapping. The GPR system is lightweight, <1.5 kg, and consists of a vector network analyzer (VNA) as frequency-domain radar, a hybrid horn-dipole antenna operating in the range 250–2800 MHz, a microcomputer for controlling the radar, a smartphone or tablet for remote control, and a GPS for positioning. Radar data processing is performed using full-wave inversion based on the method of Lambot et al. As a proof of concept, we present the results of a data acquisition over an agricultural field in Saint-Denis, Belgium. For this example, we used the 500–700 MHz frequency range and inversion was performed in the time domain, focusing on the soil surface reflection. The retrieved permittivity was converted into soil moisture values using Topp’s equation. The soil moisture map was constructed using kriging. The obtained results were very consistent with the soil topography map, with higher soil moisture values observed in the talwegs and lower values observed in the highest slopes. Although the method still requires a few improvements before being routinely applicable, the method appears to be very flexible and promising for a series of drone applications, including precision agriculture and environmental engineering.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201902587
2019-09-08
2024-04-24

  • From This Site

    /content/papers/10.3997/2214-4609.201902587
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. D.Floreano and R. J.Wood
    , “Science, technology and the future of small autonomous drones,” Nature, vol. 521, no. 7553, pp. 460–466, 2015.
     [Google Scholar]
  2. G.Fasano, A.Renga, A. R.Vetrella, G.Ludeno, I.Catapano, and F.Soldovieri
    , “Proof of concept of micro-uav-based radar imaging.” Institute of Electrical and Electronics Engineers Inc., 2017, Conference Proceedings, pp. 1316–1323.
     [Google Scholar]
  3. G.Ludeno, I.Catapano, A.Renga, A. R.Vetrella, G.Fasano, and F.Soldovieri
    , “Assessment of a micro-uav system for microwave tomography radar imaging,” Remote Sensing of Environment, vol. 212, pp. 90–102, 2018.
     [Google Scholar]
  4. H.Machguth, O.Eisen, F.Paul, and M.Hoelzle
    , “Strong spatial variability of snow accumulation observed with helicopter-borne gpr on two adjacent alpine glaciers,” Geophysical Research Letters, vol. 33, no. 13, 2006.
     [Google Scholar]
  5. D.Šipoš, P.Planinšič, and D.Gleich
    , “On drone ground penetrating radar for landmine detection,” in 2017 1st International Conference on Landmine: Detection, Clearance and Legislations, LDCL2017, Conference Proceedings, pp. 7–10.
     [Google Scholar]
  6. H.Vereecken, J. A.Huisman, H.Bogena, J.Vanderborght, J. A.Vrugt, and J. W.Hopmans
    , “On the value of soil moisture measurements in vadose zone hydrology: A review,” Water Resources Research, vol. 46, no. 4, 2010.
     [Google Scholar]
  7. H.Vereecken, M.Aitkenhead, S.Allison, S.Assouline, P.Baveye, M.Berli, N.Brüggemann, P.Finke, M.Flury, T.Gaiser, G.Govers, A.Schnepf, T.Ghezzehei, P.Hallett, H.Hendricks Franssen, J.Heppell, R.Horn, J.Huisman, D.Jacques, F.Jonard, S.Kollet, F.Lafolie, J.Hopmans, K.Lamorski, D.Leitner, A.McBratney, B.Minasny, C.Montzka, W.Nowak, Y.Pachepsky, J.Padarian, N.Romano, K.Roth, M.Javaux, Y.Rothfuss, E.Rowe, A.Schwen, J.Šimůnek, A.Tiktak, J.Van Dam, S.van der Zee, H.Vogel, J.Vrugt, T.Wöhling, D.Or, I.Young, T.Roose, J.Vanderborght, M.Young, and W.Amelung
    , “Modeling soil processes: Review, key challenges, and new perspectives,” Vadose Zone Journal, vol. 15, no. 5, 2016.
     [Google Scholar]
  8. A.Klotzsche, F.Jonard, M. C.Looms, J. van derKruk, and J. A.Huisman
    , “Measuring soil water content with ground penetrating radar: A decade of progress,” Vadose Zone Journal, vol. 17, no. 1, 2018.
     [Google Scholar]
  9. G. C.Topp, J. L.Davis, and A. P.Annan
    , “Electromagnetic determination of soil water content: Measurements in coaxial transmission lines,” Water Resources Research, vol. 16, no. 3, pp. 574–582, 1980.
     [Google Scholar]
  10. J.Ledieu, P.De Ridder, P.De Clerck, and S.Dautrebande
    , “A method of measuring soil moisture by time-domain reflectometry,” Journal of Hydrology, vol. 88, no. 3–4, pp. 319–328, 1986.
     [Google Scholar]
  11. A. R.Mallahzadeh and F.Karshenas
    , “Modified tem horn antenna for broadband applications,” Progress in Electromagnetics Research, vol. 90, pp. 105–119, 2009.
     [Google Scholar]
  12. J.Jezova, S.Lambot, A.Fedeli, and A.Randazzo
    , “Ground-penetrating radar for tree trunk investigation,” in 20179th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017 - Proceedings, Conference Proceedings.
     [Google Scholar]
  13. S.Lambot, E. C.Slob, I. D.Van Bosch, B.Stockbroeckx, and M.Vanclooster
    , “Modeling of ground-penetrating radar for accurate characterization of subsurface electric properties,” IEEE Transactions on Geoscience and Remote Sensing, vol. 42, no. 11, pp. 2555–2568, 2004.
     [Google Scholar]
  14. S.Lambot, L.Weihermüller, J. A.Huisman, H.Vereecken, M.Vanclooster, and E. C.Slob
    , “Analysis of air-launched ground-penetrating radar techniques to measure the soil surface water content,” Water Resources Research, vol. 42, no. 11, 2006.
     [Google Scholar]
  15. S.Lambot and F.André
    , “Full-wave modeling of near-field radar data for planar layered media reconstruction,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 5, pp. 2295–2303, 2014.
     [Google Scholar]
  16. J.Minet, P.Bogaert, M.Vanclooster, and S.Lambot
    , “Validation of ground penetrating radar full-waveform inversion for field scale soil moisture mapping,” Journal of Hydrology, vol. 424–425, pp. 112–123, 2012.
     [Google Scholar]
  17. F.Jonard, L.WeihermüLler, H.Vereecken, and S.Lambot
    , “Accounting for soil surface roughness in the inversion of ultrawideband off-ground gpr signal for soil moisture retrieval,” Geophysics, vol. 77, no. 1, pp. H1–H7, 2012.
     [Google Scholar]
  18. A. P.Tran, C.Warren, F.André, A.Giannopoulos, and S.Lambot
    , “Numerical evaluation of a full-wave antenna model for near-field applications,” Near Surface Geophysics, vol. 11, no. 2, pp. 155–165, 2013.
     [Google Scholar]
  19. A. P.Tran, F.Andre, C.Craeye, and S.Lambot
    , “Near-field or far-field full-wave ground penetrating radar modeling as a function of the antenna height above a planar layered medium,” Progress in Electromagnetics Research-Pier, vol. 141, pp. 415–430, 2013.
     [Google Scholar]
  20. E.Slob and J.Fokkema
    , “Coupling effects of two electric dipoles on an interface,” Radio Science, vol. 37, no. 5, 2002.
     [Google Scholar]
  21. J.Minet, S.Lambot, E. C.Slob, and M.Vanclooster
    , “Soil surface water content estimation by full-waveform gpr signal inversion in the presence of thin layers,” IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 3, pp. 1138–1150, 2010.
     [Google Scholar]
  22. N.Rajaram, T. H.Nguyen, and J. W.Tunnell
    , “Lookup table-based inverse model for determining optical properties of turbid media,” Journal of Biomedical Optics, vol. 13, no. 5, 2008.
     [Google Scholar]
  23. J. P.Gastellu-Etchegorry, F.Gascon, and P.Esteve
    , “An interpolation procedure for generalizing a look-up table inversion method,” Remote Sensing of Environment, vol. 87, no. 1, pp. 55–71, 2003.
     [Google Scholar]
  24. S. B.Kim, S.Huang, L.Tsang, J.Johnson, and E.Njoku
    , “Soil moisture retrieval over low-vegetation surfaces using time-series radar observations and a lookup table representation of forward scattering,” in International Geoscience and Remote Sensing Symposium (IGARSS), Conference Proceedings, pp. 146–149.
     [Google Scholar]
  25. S.Lambot, M.Antoine, M.Vanclooster, and E. C.Slob
    , “Effect of soil roughness on the inversion of off-ground monostatic gpr signal for noninvasive quantification of soil properties,” Water Resources Research, vol. 42, no. 3, 2006.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201902587
Loading
A New Drone-Borne GPR for Soil Moisture Mapping
Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201902587
/content/papers/10.3997/2214-4609.201902587
/content/papers/10.3997/2214-4609.201902587
Loading

Data & Media loading...

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error