Characterization of Some Properties of Soils Formed on Basalt Parent Material Using Spectroradiometric and Geostatistical Techniques
Abstract views: 102
/ 
PDF downloads: 78
DOI:
https://doi.org/10.5281/zenodo.12603883Keywords:
Soil properties, basalt, kriging, VNIRS, PLSRAbstract
High soil variability necessitates a large number of samples, which poses disadvantages in terms of labor, time, and economic and environmental impacts. Utilizing spectroradiometers and geostatistical methods can lead to significant savings in chemical inputs and time. In this study, sixty surface soil samples from basaltic parent material areas were analyzed in the laboratory for their physical (clay, silt, sand), chemical (pH, EC, exchangeable cations: Ca, Mg, Na, K, CEC, percent CaCO3) and biological (soil organic matter; OM100mμ, OM2mm) properties. Spectral and geostatistical methods were employed to estimate and map these properties. Spectral reflectance were obtained within the 350 to 2500 nm wavelength range. Modeling the relationships between laboratory measurements and spectral readings were performed using Partial Least Squares Regression (PLSR). Additionally, geostatistical techniques such as Inverse Distance Weighting (IDW), Ordinary Kriging (OK), and Cokriging (COK) were utilized to generate maps illustrating the spatial distribution of soil parameters. The accuracy of the predictions were evaluated using RMSE (Root Mean Square of Estimation) parameter. The predictive success of prediction techniques varied depending on the specific soil property under investigation. The VNIRS-PLSR method achieved the highest accuracy and the lowest RMSE values for parameters such as organic matter, sand, clay contents, cation exchange capacity (CEC), and electrical conductivity (EC). Conversely, geostatistical methods yielded the lowest RMSE results for parameters such as lime (CaCO3), pH, silt, exchangeable Ca, exchangeable K, exchangeable Na, and exchangeable Mg. The application of the COK technique using a secondary variable resulted in a 1 % to 19 % increase in prediction success compared to OK and IDW techniques. Overall, each estimation technique has its own advantages and disadvantages, which should be taken into consideration in the selection of the technique for prediction of soil variables.
References
Akbaş, F., 2012. Modeling and mapping of the available phosphorus level of Kazova soils with geostatistical estimation and simulation methods Konya soil water and desertification combat research station directorate. Journal of Agricultural Science, 18: 63‐76.
Aksakal, E.L., Öztaş, T., 2010. Effects of polyvinylalcohol, humic acid and polyacrylamide applications on structural stability and soil losses. III. National Black Sea Forestry Congress, Volume: III, 20-22 May, pp. 953-962.
Aydemir, M., Kara, Z., 2023. The Effect of Soft Core Fruit Tree Leaves on Some Soil Properties. ISPEC Journal of Agricultural Sciences, 7(1): 45–52.
Aygür, O., 2020. Estimation and mapping of the properties of soils formed on basaltic parent material with different geostatistical methods. Msaster's Thesis, The Graduate School of Natural and Applied Science of Harran Uuniversity Institute of Sciences, Şanlıurfa.
Başkan, O., 2004. Geostatistical application in engineering and physical property relationships of gölbaşı region soils. Ph. D Doctoral Thesis, The Graduate School of Natural and Applied Science of Ankara University Institute of Science and Technology, Ankara.
Başbozkurt, H., Öztaş, T., Karaibrahimoğlu, A., Gündoğan, A., Genç, A., 2013. Determination of spatial change patterns of soil properties using geostatistical methods. Atatürk University Journal of Agricultural Faculty, 44(2): 169-181.
Bilgili, A.V., Esb Van, H.M., Akbaş, F., Durak, A., Hivel, W.D., 2010. Visible-Near infrared reflectance spectroscopy for assessment of soil properties in a semi-arid area of Turkey. Journal of Arid Environments, 74: 229–238.
Bilgili, A.V., Çullu, M., Aydemir, S., 2014. Investigation of the potential for characterizing salt-affected soils with the help of near infrared reflection spectroradiometer and electromagnetic induction technique. Harran Journal of Agricultural and Food Sciences, 18(1): 33-46.
Birol, M., Günal, H., 2022. Field scale variability in soil properties and silage corn yield. Soil Studies, 11(1): 27-34.
Brady, N.C., Weil, R.R., 2008. The nature and pproperties of soils (The Nature and Properties of Soils, vol, ed. 14 edn.). Prentice-Hall Inc., Upper Saddle River, New Jersey.
Bouyoucous, G.J., 1951. A recalibration of hydrometer for making mechanical analysis of soils. Agronomy Journal, 43(9): 434- 443.
Budak, M., Günal, H., 2016. Visible and near infrared spectroscopy techniques for determination of some physical and chemical properties in Kazova watershed. Advances in Environmental Biology, 10(5): 61-73.
Burrough, P.A., McDonnell, R.A., 1998. Principles of Geographical Information Systems. Oxford University Press. New York.
Caruso, C., Quarta, F., 1998. Interpolation methods comparison. Computers and Mathematik with Application, 35(12): 109-126.
Cambardella, C.A., Moorman, T.B., Novak, J.M., Parkin, T.B., Karlen, D.L., Turco, R.F., Konopka, A.E., 1994. Field scale variability soil properties in central iowa soils. Soil Science Society America Journal, 58: 1501-1511.
Chang, K.L., 2002. Optimal estimation of the granulometric composition of soils. Soil Science, 167: 135-146.
Çetin, M., Tülcü, K., 1998. Examination of local variations in monthly precipitation in the eastern mediterranean region by geostatistical method. Journal of Engineering and Environmental Science, 22(4): 279-288.
Dunn, A.J., 2002. Survey of Legislation, Agricultural Law. University of Arkansas at Little Rock. LawReview.
Erdinç, A., Öndegiden, E., Kendirci, A., Sezer, T., Işık, P., Bahrioğlu, O., 2011. Şanlıurfa Provincial Environmental Paper. Şanlıurfa, 206p.
Esbensen, K.H., Geladi, P., 2010. Principles of Proper Validation: Use and Abuse of Re-Sampling for Validation. Journal of Chemometrics Call for Papers Special Issue for, 24: 168–187.
Ekberli, İ., Dengiz, O., 2017. Determination of linear regression models between basalt parent material and some topographic and physicochemical properties of soils formed on different topographic positions. Soil Water Journal, 6 (1): 15-27.
Hamlett, J.M., Horton, R., Cressie, N.A.C., 1986. Resistant and Explatory Techniques for Use in Semivariogram Analysis. Soil Science Society of American Journal, 50: 868-875.
Isaaks, E.H., Srivastava, R.M., 1989. An Introduction to Applied Geostatistics. Oxford University Press. New York.
Gedikoğlu, İ., 1990. Soil Laboratory Analysis Methods Used in Determining Soil Productivity. KHGM, Şanlıurfa Research Institute Directorate Publication. General Publication No: 55, Technical Publication No: 11, 75 pp. Şanlıurfa.
Gillman, G.P., Sumpter, E.A., 1986. Surface Charge Characteristics and Lime Requirements of Soils Derived From Basaltic, Granitic and Metamorphic Rocks in High-Rainfall Tropical Queensland. Australian Journal of Soil Research, 24, 173–192.
İmamoğlu, M.Z., Sertel, E., 2016. Analysis of Different Interpolation Methods for Soil Moisture Mapping Using Field Measurements and Remotely Sensed Data. International Journal of Environment and Geoinformatics, 3(3): 11-25.
İnci, Y., Gündoğan, R., Bilgili, A., Ramazanoğlu, E., 2023. Morphological, Physical, and Chemical Properties, Classification, and Forensic Applications of Soils Formed on Common Parent Materials in Şanlıurfa. ISPEC Journal of Agricultural Sciences, 7(4):891-903.
İnci, Y., Bilgili, A., Gündoğan, R., 2021. Spectral Characterization and Prediction of Properties of Soils Formed on Different Parent Materials Using VNIRS Technique for Forensic Science. Harran Journal of Agricultural and Food Sciences, 25(4): 497-513.
İnci, Y., 2020. Determining the spatial variation of soil properties with different methods for forensic uses. Doctoral Thesis Ph.D Thesis, The Graduate School of Natural and Applied Science of Harran University, Institute of Science, Şanlıurfa.
Isbell, R.F., Stephenson, P.J., Murtha, G.G., Gillman, G.P., 1976. Red Basaltic Soils in North Queensland. Commonwealth Scientific and Industrial Research Organization, Melbourne. I. Environment, Morphology, Particle Size Characteristics and Clay Mineralogy. II. Chemistry. Division of Soils Technical Paper. CSIRO. No. 28, 1–42.
Isbell, R.F., Gillman, G.P., Murthe, G.G., Jones, P.N., 1977. Brown basaltic soils in North Queensland. Commonwealth Scientific and Industrial Research Organization, Melbourne. In: Division of Soils Technical Paper. vol. No. 34 CSIRO (25 pp.).
Isaaks, E.H. Srivastava, R.M., 1989. An Introduction to Applied Geostatistics. Oxford University Press, New York. 561 pp.
Jackson, M.L., 1958. Soil Chemical Analysis. Prentice Hall Inc., Englewood Ccliffs, New Jersey: Prentice Hall Inc.
Journel, A.G., Huijbregts, C.H.J., 1978. Mining Geostatistics. Academic Press, New York.
Journel, A.G., Huijbregts, C.H.J., 1981. Mining Geostatistics. Academia Press Inc. (London) Ltd.
Kara, Z., Yürürdurmaz, C., Çokkızgın, A., Keskiner, A. D., 2022. Determination of The Effects of Different Doses of Wheat Straw and Urea Fertilizer on Soil and Wheat Plant (Triticum aestivum L.). ISPEC Journal of Agricultural Sciences, 6(3), 610–619.
Kara, Z., Yakupoğlu T., 2023. Time-Dependent Changes in Moisture Content of Some Organic Matter Sources Used as Soil Conditioners. ISPEC Journal of Agricultural Sciences, 7(1), 95–104.
Kara, Z., Çokkızgın, A., Yururdurmaz, C., Gırgel, Ü., Yakupoğlu, T., 2024. Changes in Some Soil Compaction Indicators in A Field Treated with Leonardite and Chicken Manure. ISPEC Journal of Agricultural Sciences, 8(1), 150–159.
Karakeçili, M.V., 2004. Soils of Siverek District. Ms. Thesis, The Graduate School of Natural and Applied Science of Harran University. Graduation Thes, is, Harran University Institute of Natural Sciences, Şanlıurfa., 25s.
Kaplan, F., 2020. Comparison of Geostatistical and Spectroradiometric Methods in the Estimation of Soil Properties, Master Thesis, Harran University Institute of Science, Şanlıurfa, 1-63.
Kaplan, F., Öztürk, H., 2023. Determination of Soil Properties with Geostatistical Methods. International Çankaya Scientific Studies Congress, Conference Proceedings Book, 10-12, April, Ankara, pp. 99-100.
Kaplan, F., Rufaioğlu, S.B., 2023. Estimation and Mapping of Soil Parameters Using Multivariate Geostatistical Method. Isarc 1st International Blacksea Scientific Research and Innovation Congress, Conferencegress Proceedings Book, 23-24 December 2023, Trabzon, Turkey, pp. 1195-1196.
Kaplan, F., Bilgili, A.V., Rufaioğlu, S.B., İnci, Y., 2024. The Importance and Contribution of Precision Agricultural Technologıes in Reducing Greenhouse Gas Emissions, At The 12th Global Conference on Global Warming Held in Sanliurfa, Conference Congress Proceedings Book, Turkey, 16th-19th Of May, Şanlıurfa,p p. 443-446.
Kaplan, F., Rufaioğlu, S.B., 2024. The Use of Geostatiıstiıcs in Soil Science and an Overview of Studies (Ed. G. Bengisu),, A View of Agriculture from an Academic Perspective: Iiksad Ppublishing Hhouse, Ankara.Keskin, M., Görücü Keskin, S., 2012. Precision Agriculture Technologies. Mustafa Kemal University Publications, Hatay.
Kravchenko, A.N., 2003. Influence of Spatial Structure on Accuracy of Interpolation Methods. Soil Science Society of America Journal.
Lazaar, A., Mouazen, A.M., Hammouti, K.E., Fullen, M., Pradhan, B., Memon, M.S., Monir, A., 2020. The Application of Proximal Visible and Near-Infrared Spectroscopy to Estimate Soil Organic Matter on the Triffa Plain of Morocco. International Soil and Water Conservation Research, 8(2), 195-204.
Lobell, D.B., Asner, G., 2002. Moisture Effect on Soil Reflectance. Soil Sci. Soc. Am. J., 66, 722-725.
Milos, B., Bensa, A., 2018. Estimation of organic carbon and calcium carbonates in agricultural soils by Vis-NIR Spectroscopy. Poljoprivreda, 24 (1): 45-51.
Mitchell, B.D., Jarvis, R.A., 1956. The soils of the country around kilmarnock in: Department of Agriculture for Scotland Memedir of the Soil Survey of Great Britain; Scotland. HMSO, Edinburgh.
McGrath, D., Zhang, C., Carton, O.T., 2004. Geostatistical analyses and hazard assessment on soil lead in silvermines area. Environmental Pollution, 127(2): 239-248.
Qi, Y., Jeremy, L., Darilek, B.H., Yongcun, Z., Weixia, S., Zhiquan, G.U., 2009. Evaluating soil quality indices in an agricultural region of Jiangsu province, China. Geoderma, 149(3-4): 325- 334.
Saeys, W., Mouazen, A.M., Ramon, H., 2005. Potential for onsite and online analysis of pig manure using visible and near infrared reflectance spectroscopy. Biosystems Engineering, 91(4): 393–402.
Singer, A., 1987. Land Evaluation of basaltic terrain under semi-arid mediterranean conditions in the golan heights. Soil Use Management, 3, 155–162.
Soil Survey Laboratory, 2004. Soil Survey Laboratory Methods Manual Soil Survey Investigations Report. USDA, No: 42.
Soil Survey Manual, 2017. United States Department of Agriculture (USDA) Agriculture Handbook No. 18. Washington, DC: Government Printing Office.
Şenol, H., Akgül, M., 2013. Determination of some soil properties with near infrared reflection spectroscopy (NIRS). Journal of Agricultural Sciences Süleyman Demirel University, 18: 197-213.
Ting, H., Jing, W., Zongjian, L., Ye, C., 2009. Spectral features of soil organic matter. Geo-spatial Information Science, 12(1): 33-40.
Tekin, A.B., Günal, H., Sındır, K., Balcı, Y., 2011. Spatial structure of available micronutrient contents and their relationships with other soil charecteristics and corn yield. Fresenius Environmental Bulletion, 20: 783-792.
Trangmar, B.B., Yost, R.J., Wehara, G., 1985. Application of Geoistatistical to Spatial Studies of Soil Properties. Advances in Agronomy, 38, 65-91.
Thomas, G.W., 1983. Exchangeable cations. In A.L. Page (Ed.). Methods of Soil Analysis. Part 2. Chemical and Microbiological Properties. Wiley, New York, pp.159-165.
Turgut, B., Öztaş, T., 2012. Determination of local changes in some soil properties using geostatistical methods. Süleyman Demirel University Faculty of Agriculture Journal, 7(2): 10-22.
Türker, U., Güçdemir, İ., 2004. A Research on determination of small-scale spatial variability in the fallow-cereal system in atatürk forest farm using precision agriculture technologies. Journal of Agricultural Sciences, 10(3): 305-312.
Valenzuela-Estrada, A., Undurraga, P., Salazar, O., Pino, I., 2015. Characterization of Basalt-Derived soils for optimizing ırrigation and fertilization management in the semiarid region of chile. Soil Science Society of America Journal, 79(2): 316-327.
Wetterlind, J., Stenberg, B., Rossel, R.A.V., 2013. Soil analysis using visible and near infrared spectroscopy. Methods in Molecular Biology, 953: 95-107.
Wilson, M.J., Logan, J., 1976. Exchange properties and mineralogy of some soils derived from lavas of lower old red sandstone (Devonian) age. I. exchangeable cations. Geoderma, 15: 273–288.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 ISPEC Journal of Agricultural Sciences
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
