vfuzemlВестник Северо-Восточного федерального университета им. М.К. Аммосова. Vestnik of North-Eastern Federal University. Серия «Науки о Земле». Earth SciencesVestnik of North-Eastern Federal University Series "Earth Sciences"2587-8751Северо-Восточный федеральный университет имени М.К.Аммосова10.25587/SVFU.2022.27.3.001vfuzeml-127Research ArticleПРИКЛАДНЫЕ ИССЛЕДОВАНИЯAPPLIED RESEARCHКомбинированный метод измерения содержания влаги в почвеCombined method for measuring soil moisture contentБабаеваГ. Р. г.BabaevaG. R. g.

БАБАЕВА Гюльшен Рауф гызы – с.н.с. ОКБ Космического приборостроения

г. Баку

BABAYEVA Gulshen Rauf gyzy – Senior Researcher

Baku

gulshen.babayeva@gmail.comДаниловЮ. Г.DanilovYu. G.

ДАНИЛОВ Юрий Георгиевич – к.г.н., проф. Эколого-географического отделения Института естественных наук

г. Якутск

 

DANILOV Yury Georgievich – Candidate of Geographical Sciences, Professor, Department of Ecology and Geography, Institute of Natural Sciences

Yakutsk

iug.danilov@s-vfu.ruНациональное аэрокосмическое агентствоАзербайджанNational Aerospace AgencyAzerbaijanСВФУ им. М.К. АммосоваРоссияM.K Ammosov North-Eastern Federal UniversityRussian Federation202217102022031420Copyright © Бабаева Г.Р., Данилов Ю.Г., 20222022Бабаева Г.Р., Данилов Ю.Г.Babaeva G.R., Danilov Y.G.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.vnzsvfu.ru/jour/article/view/127

Спектральные методы измерения влажности почвы широко используются при проведении как контактных, так и дистанционных измерений. В спектральных методах определения влажности почвы в основном используются отражательные спектры почвы, наиболее информативными из которых являются ближне-инфракрасные (NIR) и средне-инфракрасные участки спектра. Известен двухволновый метод измерения, в котором используются длины волн 1450 нм и 1300 нм на отражательном спектре, которые не подвержены влиянию органических веществ, имеющихся в почве. Однако известны доказательства того, что двухволновый отражательный метод определения влаги в почве в зависимости от используемых конкретных длин волн может быть подвержен влиянию содержания глины в почве. Разработан комбинированный метод определения водного содержания почвы. Метод основан на двух известных способах определения водного содержания почвы, предусматривающих измерение отражательного сигнала, определенного по спектру отражения, а также учет постоянных коэффициентов, зависящих от длины волны излучения. Предлагаемый совмещенный метод предполагает определение указанных постоянных коэффициентов во втором способе используя измерения на трех участках Земли после проведений измерений по первому способу на двух длинах волн при известных постоянных коэффициентах. Далее, на этапе совмещения этих методов осуществляется такой выбор длины волны проводимых измерений, при котором разность между результатами измерений по двум совмещаемым методам достигает минимума.

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.

водное содержаниепочвадлина волныдистанционное зондированиеотражательный спектркалибровкавалидациядвухволновые измеренияспектральные методыпроксимальные методыконтактные методыwater contentsoilwavelengthremote sensingreflective spectrumcalibrationvalidation twowave measurementsspectral methodsproximal methodscontact methodsReferencesSchanz 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.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.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.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.Kirkham M.B. Principal of Soil and Plant Relationship. – UK: British Library Cataloguing Publication Data, 2014.Kirkham M.B. Principal of Soil and Plant Relationship. – UK: British Library Cataloguing Publication Data, 2014.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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-15.2015.158Zhe 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-15.2015.158Whalley W.R., Leeds-Harrison P.B. Estimation of soil moisture status using near infrared reflectance // Hydrological processes. – 1991. – vol. 5. – P. 321-327.Whalley W.R., Leeds-Harrison P.B. Estimation of soil moisture status using near infrared reflectance // Hydrological processes. – 1991. – vol. 5. – P. 321-327.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.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.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.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.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.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.

The authors declare that there are no conflicts of interest present.