Combined method for measuring soil moisture content
https://doi.org/10.25587/SVFU.2022.27.3.001
Abstract
Spectral methods of measuring soil moisture are widely used in both contact and remote measurements. Spectral methods for determining soil moisture mainly use reflective spectra of soil, the most informative of which are near-infrared (NIR) and mid-infrared sections of the spectrum. A two-wave measurement method is known, which uses wavelengths of 1450 nm and 1300 nm on the reflective spectrum, which are not affected by organic substances present in the soil. However, there is evidence that a two-wave reflective method for determining soil moisture, depending on the specific wavelengths used, may be influenced by the clay content in the soil. A combined method for determining the water content of the soil has been developed. The method is based on two known methods for determining the water content of the soil, providing for the measurement of a reflective signal determined by the reflection spectrum, as well as taking into account constant coefficients depending on the wavelength of radiation. The proposed combined method involves the determination of these constant coefficients in the second method using measurements on three sites of the earth after measurements by the first method at two wavelengths at known constant coefficients. Further, at the stage of combining these methods, the wavelength of the measurements is selected in such a way that the difference between the measurement results of the two combined methods reaches a minimum.
About the Authors
G. R. g. BabaevaAzerbaijan
BABAYEVA Gulshen Rauf gyzy – Senior Researcher
Baku
Yu. G. Danilov
Russian Federation
DANILOV Yury Georgievich – Candidate of Geographical Sciences, Professor, Department of Ecology and Geography, Institute of Natural Sciences
Yakutsk
References
1. Schanz T., Baille W., Nguyen L. Effects of Temperature on Measurements of Soil Water Content with Time Domain Reflectometry // Geotech Test J. – 2011. – vol. 34 (1). – P. 1–8.
2. Dobriyal P., Qureshi A., Badola R., Hussain S.A. A review of the methods available for estimating soil moisture and its implications for water resource management // J Hydrol. – 2012. – vol. 458-459. – P. 110-117.
3. Kirkham M.B. Principal of Soil and Plant Relationship. – UK: British Library Cataloguing Publication Data, 2014.
4. Devaser V., Luhach A. Kr. An Approach to Analyse the Agriculture Acreage and Estimate Production // Indian Journal of Science and Technology (LJST). – 2016. – vol. 9 (28). – P. 1-6.
5. Udagani C. Gamma Ray Attenuation Study with Varying Moisture Content of Clay Bricks // Int J Eng Sci Invent. – 2013. – vol. 2(7). – P. 35-38.
6. Shukla A., Panchal H., Mishra M., et al. Soil Moisture Estimation using Gravimetric Technique and FDR Probe Technique: A Comparative Analysis // American International Journal of Research in Formal, Applied & Natural Sciences. – 2014. – vol. 8(1). – P. 89-92.
7. Bhagat V.S. Space-borne Microwave Remote Sensing of Soil Moisture // A Review. Recent Progress in Space Technology. – 2014. – vol. 24(4). – P. 119-150.
8. Srivastava H.S., Рatel P., Sharma Y., et al. Large-Area Soil Moisture Estimation Using Multi-Incidence- Angle RADARSAT-1 SAR Data // IEEE Trans. Geosci. Remote Sens. – 2009. – vol. 47(8). – P. 2528-2537.
9. Robinson D.A., Campbell C.S., Hopmans J.W., Hormbucke B.K., et al. Soil Moisture Measurement for Ecological and Hydrological Watershed-Scale Observatories // A Review. Vadose Zone Journal. – 2008. – P. 358- 389.
10. Xiaoling Wu., Jeffrey P., Walker and Nan Ye. Inter-Comparison of Proximal Near-Surface Soil Moisture Measurement Techniques // IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. – 2022. – P. 2370–2378.
11. Zhe Yin, Tingwu Lei, Qinghong Yan, Zhanpeng Chen, Yuequn Dong. A near-infrared reflectance sensor for soil surface moisture measurement // Computers and Electronics in Agriculture. – 2013. – P. 101-107.
12. Zhe Yin, Wei Qin, Changqing Zuo, Nan Yan, Bai Li, Qiankun Guo, Zhijie Shan, Zhaoyan Wang. NIR Sensor, Reflection Model for Soil Moisture Measurement Using Near-infrared Reflection Sensor // International Forum on Energy, Environment Science and Materials (IFEESM 2015), DOI:10.2991/ifeesm-15.2015.158
13. Whalley W.R., Leeds-Harrison P.B. Estimation of soil moisture status using near infrared reflectance // Hydrological processes. – 1991. – vol. 5. – P. 321-327.
14. Oltra-Carrio R., Frederic B., Fieuzal R., Briottet X. Improvement of Soil Moisture Retrieval from Hyperspectral VNIR-SWIR Data Using Clay Content Information: From Laboratory to Field Experiments // Remote Sens. – 2015. – vol. 7(3). – P. 3184-3205.
15. Ryoei Ito, Masaki Harada, Ayako Michida, Masaru Mizoguchi, Takashi Mishima, Takaharu Kameoka, Atsushi Hashimoto, Kenichi Nakanishi, Hiroshi Shono, Masaaki Oka, Hirokazu Taki, Fumitaka Uchio, Yasunori Saito, Hiroaki Ishizawa, Yoshitaka Motonaga, Takehiko Hoshi, Nobukazu Iguchi, Eiji Goto, Seishi Ninomiya, Masayuki Hirafuji, Tokihiro Fukatsu. Soil moisture monitoring using near-infrared sensing technique and the Internet in a coffee plantation field // AFITA/WCCA joint congress on it in agriculture, 2004.
16. Fabre S., Briottet X., Lesaignoux A. Estimation of soil moisture content from the spectral reflectance of bare soils in the 0. 4 – 2. 5 μm domain // Sensors. – 2015. – vol. 15(2). – P. 62-81.
Review
For citations:
Babaeva G.R., Danilov Yu.G. Combined method for measuring soil moisture content. Vestnik of North-Eastern Federal University Series "Earth Sciences". 2022;(3):14-20. (In Russ.) https://doi.org/10.25587/SVFU.2022.27.3.001