Soil physical properties evaluation from geophysical and remote sensing datasets

• Autorzy: Akinsunmade Akinniyi

Identyfikatory

DOI

10.15199/48.2025.02.05

Warianty tytułu

PL

Ocena właściwości fizycznych gleby na podstawie geofizycznych i teledetekcyjnych zbiorów danych

• Języki publikacji: EN

Abstrakty

EN

The present study highlights the possibility of assessing soil physical properties using geophysical and hyperspectral imaging techniques as leverage on the conventional approach of soil survey characterized by some pitfalls. Randomly selected farmlands where the in-situ nature of the soil is still preserved were utilized for the field data acquisition. This was preceded by the numerical modelling of the response of the soil to one of the adopted methods of study to ascertain the possible depth of investigation and field data acquisition parameters. Results of field data analysis enabled the delineation of the subsurface horizons of the soil at the test sites which at the same time allows both the qualitative and quantitative evaluation of some physical properties such as porosity, bulk density, and some state variables such as the volumetric water contents and the compactness of the soil.

PL

Niniejsze badanie podkreśla możliwość oceny właściwości fizycznych gleby przy użyciu technik obrazowania geofizycznego i hiperspektralnego jako dźwigni konwencjonalnego podejścia do badania gleby, charakteryzującego się pewnymi pułapkami. Losowo wybrane grunty rolne, na których nadal zachowana jest natura gleby in situ, zostały wykorzystane do pozyskania danych terenowych. Poprzedziło to numeryczne modelowanie reakcji gleby na jedną z przyjętych metod badania w celu ustalenia możliwej głębokości badania i parametrów pozyskiwania danych terenowych. Wyniki analizy danych terenowych umożliwiły określenie poziomów podziemnych gleby w miejscach testowych, co jednocześnie pozwala na jakościową i ilościową ocenę niektórych właściwości fizycznych, takich jak porowatość, gęstość objętościowa i niektóre zmienne stanu, takie jak objętościowa zawartość wody i zwartość gleby

Słowa kluczowe

EN

soil; physical properties; geophysical data; hyperspectral data

PL

gleba; właściwości fizyczne; dane hiperspektralne; dane geofizyczne

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2025
• Tom: R. 101, nr 2
• Strony: 18--21
• Opis fizyczny: Bibliogr. 25 poz., rys.

Twórcy

autor

Akinsunmade Akinniyi

• University of Agriculture in Krakow, Faculty of Production and Power Engineering, ul. Balicka, 30-149 Kraków, Poland

• https://orcid.org/0000-0002-1602-1741

Bibliografia

• [1] Weil, R. R., and Brady, N. C., The Nature and properties of Soils 15th (edn).( 2017) Pearson Education Limited
• [2] Zare, E., Ahmed, M.F., Malik, R.S., Subasinghe, R., Huang, J. and Triantafilis, J.,Comparing traditional and digital soil mapping at a district scale using residual maximum likelihood analysis. Soil Research, 56(5)( 2018.), pp.535-547.
• [3] Nawaz, M. F., Bourrie, G. and Trolard, F., Soil compaction impact and modelling. A review. Agronomy for sustainable development, 33(2)( 2013), pp.291-309.
• [4] Arriaga, F. J., Lowery, B., Reinert, D. J. and McSweeney, K.,. Cone penetrometers as a tool for distinguishing soil profiles and mapping soil erosion. In Digital Soil Morphometrics,( 2016) 401-410, Springer, Cham. DOI 10.1007/978-3-319-28295-4_25
• [5] Yost, J.L. and Hartemink, A.E., Soil organic carbon in sandy soils: A review. Advances in agronomy,( 2019.) 158, pp.217- 310.
• [6] Forte, E., Dossi, M., Pipan, M. and Colucci, R. R., Velocity analysis from common offset GPR data inversion: theory and application to synthetic and real data. Geophysical Journal International, 197(3)( 2014.), pp.1471-1483.
• [7] Galagedara, L.W.; Parkin, G.W.; Redman, J.D.; Von Bertoldi, P.; Endres, A.L. Field studies of the GPR ground wave method for estimating soil water content during irrigation and drainage. J. Hydrol. (2005), 301, 182–197
• [8] Lombardi, F.; Ortuani, B.; Facchi, A.; Lualdi, M. Assessing the Perspectives of Ground Penetrating Radar for Precision Farming. Remote Sens. (2022), 14, 6066
• [9] Liu, X.; Dong, X.; Leskovar, D.I. Ground penetrating radar for underground sensing in agriculture: A review. Int. Agrophys. (2016),30, 533–543.
• [10] Zajícováa, K.; Chumana, T. Application of ground penetrating radar methods in soil studies: A review. Geoderma (2019), 343, 116–129.
• [11] Kiełbasa, P.; Zagórda, M.; Juliszewski, T.; Akinsunmade, A.; Tomecka, S.; Karczewski, J.; Pysz, P. Assessment of the possibility of using GPR to determine the working resistance force of tools for subsoil reclamation. J. Phys. Conf. Ser. (2021), 1782, 012013
• [12] Akinsunmade, A., Pysz, P., Zagórda, M., Miernik, A., & Tomecka-Suchoń, S.. Assessment of Soil Horizons and Their Matric Potential from Ground-Penetrating Radar Signal Attributes. Applied Sciences,(2024) 14(16), 7328.
• [13] Warren, C., Giannopoulos, A., Gray, A., Giannakis, I., Patterson, A., Wetter, L., and Hamrah, A., A CUDA-based GPU engine for gprMax: Open source FDTD electromagnetic simulation software, Computer Physics Communications,(2018) 237, 208-218, 10.1016/j.cpc.2018.11.007.
• [14] Giannakis, I., and Giannopoulos, A., A Novel Piecewise Linear Recursive Convolution Approach for Dispersive Media Using the Finite-Difference Time-Domain Method. IEEE Transactions on Antennas and Propagation, (2014) 62(5), 2669-2678, 10.1109/TAP.2014.2308549.
• [15] Peplinski, N. R., Ulaby, F. T. and Dobson, M. C.,. Dielectric properties of soils in the 0.3-1.3-GHz range. IEEE transactions on Geoscience and Remote sensing,( 1995) 33(3), pp.803-807
• [16] Daniels D. J., 2004. Ground penetrating radar, 2nd edn. The Institution of Electrical Engineers, London.
• [17] Annan, A., 2003. Ground penetrating radar principles, procedures, and applications. Sensors and software, 278.
• [18] Jol, H. M. ed., (2008). Ground penetrating radar theory and applications. Elsevier.
• [19]Jol, H. M. and Bristow, C. S., GPR in sediments: advice on data collection, basic processing and interpretation, a good practice guide. SPECIAL PUBLICATION-GEOLOGICAL SOCIETY OF LONDON,(2003) 211, pp.9-28.
• [20] Sandmeier, K. J., Reflexw version 8.5 Windows™ XP/7/8/10- program for the processing of seismic, acoustic and electromagnetic reflection and transmission data.(2017).
• [21] dGB Beheer B. V.,. dGB Earth Sciences- OpendTect version 6.4 Training manual Nijverheidstraat 11-27511 JM Enschede The Netherlands: www.https://dgbes.com (2019)
• [22] Akinsunmade, A., Tomecka-Suchoń, S. and Pysz, P, Complex analysis of GPR signals for the delineation of subsurface subtle features. Geology, geophysics, and environment (2019), vol. 45 (4): 257–267. https://doi.org/10.7494/geol.2019.45.4.257
• [23] MathWorks, Inc.,. MATLAB: The Language of Technical Computing. Getting started with MATLAB,(2005) version 7 (Vol. 1). MathWorks, Incorporated.
• [24] Topp, G. C., Davis, J. L., and Annan, A. P., Electromagnetic determination of soil water content: Measurements in coaxial transmission lines. Water resources research, (1980) 16(3), pp.574-582.
• [25] Roth, K., Schulin, R., Flühler, H. and Attinger, W., Calibration of time domain reflectometry for water content measurement using a composite dielectric approach. Water resources research,(1990) 26(10), pp.2267-2273.