Articles | Volume 5, issue 2
https://doi.org/10.5194/gi-5-575-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.Non-destructive evaluation of moisture content in wood using ground-penetrating radar
Related subject area
Radar
Research on real-time elimination of ultra-wideband radar ranging abnormal value data
Ground-penetrating radar inspection of subsurface historical structures at the baptism (El-Maghtas) site, Jordan
Mesospheric winds measured by medium-frequency radar with full correlation analysis: error properties and impacts on studies of wind variance
First conclusions about results of GPR investigations in the Church of the Assumption of the Blessed Virgin Mary in Kłodzko, Poland
Airborne polarimetric Doppler weather radar: trade-offs between various engineering specifications
Geosci. Instrum. Method. Data Syst., 10, 153–160,
2021Geosci. Instrum. Method. Data Syst., 9, 491–497,
2020Geosci. Instrum. Method. Data Syst., 9, 223–238,
2020Geosci. Instrum. Method. Data Syst., 7, 123–128,
2018Geosci. Instrum. Method. Data Syst., 7, 21–37,
2018Cited articles
Benedetto, A. and Pajewski, L. (Eds.): Civil engineering applications of Ground Penetrating Radar, in: Springer Transactions in Civil and Environmental Engineering, Springer International Publishing, https://doi.org/10.1007/978-3-319-04813-0, 2015.
Kasal, B. and Tannert, T. (Eds.): In situ assessment of structural timber: State of the art report of the RILEM Technical Committee 215-AS, in: RILEM state of the art reports, Springer, Heidelberg, New York, Series Volume 7, 2010.
Laurens, S., Balayssac, J. P., Rhazi, J., Klysz, G., and Arliguie, G.: Non-destructive evaluation of concrete moisture by GPR: experimental study and direct modelling, Mater. Struct., 38, 827–832, 2005.
Lualdi, M., Zanzi, L., and Binda, L.: Acquisition and processing requirements for high-quality 3D reconstructions from GPR investigations, International Symposium (NDT-CE 2003): Non-Destructive Testing in Civil Engineering (NDT-CE) Berlin, 16–19 September 2003.
Lundegren, N., Hagman, O., and Johansson, J.: Prediciting moisture content and density distribution of Scots pine by microwave scanning of sawn timber II: evaluation of models generated on a pixel level, J. Wood Sci., 52, 39–43, 2006.