10.14489/td.2022.10.pp.018-023

2022, 10 октябрь (October)

DOI: 10.14489/td.2022.10.pp.018-023

Бабаева Г. Р.
ВОПРОСЫ ОПТИМАЛЬНОГО КОНТРОЛЯ ВЛАЖНОСТИ ПОЧВЫ НА БАЗЕ ДВУХДИАПАЗОННЫХ ДАТЧИКОВ
(c. 18-23)

Аннотация. Сформулирован и решен вопрос об оптимальном построении сети контроля влажности почвы, построенной на базе контактных двухдиапазонных оптических датчиков влажности почвы, работающих в диапазонах NIR и SWIR. Показано, что применение обычного усреднения результатов измерений, полученных на двух диапазонах датчика при измерениях с неизменной частотностью, может привести к неточному результату вследствие различий в динамических диапазонах оптических сигналов на входах детекторов, вызванных неидентичностью условий увлажнения подучастков поля. Теоретически обоснована возможность выбора адаптивного режима измерений, когда подучастки с большим динамическим диапазоном изменения влажности должны быть измерены с большей частотностью, пропорционально указанному динамическому диапазону, что эквивалентно реализации адаптивного режима проведения измерений.

Ключевые слова: динамический диапазон, информативность, частотный диапазон, адаптивность, измерения.

Babaeva G. R.
ISSUES OF OPTIMAL SOIL MOISTURE CONTROL BASED ON DUAL-BAND SENSORS
(pp. 18-23)

Abstract. The water content in the soil is spatially heterogeneous, which depends on climatic factors, land use, topography and properties of the soil itself. Currently, radio frequency soil moisture meters are the most common. The technical documentation of these devices indicates that the measurement error in them can reach 1 %. However, as the results of known experimental measurements show, such a result is achieved only after calibration with respect to a specific type of soil. Calculations show that in the absence of such calibration, the error can grow up to 15 %. In this regard, spectral methods of measuring soil moisture are more advantageous. The wellknown results of the conducted studies show that in this method the main interfering factor is the content of organic substances in the soil and taking into account only the phosphorus content in the soil makes it possible to achieve a measurement error of 6.5 %. This circumstance emphasizes the prospects of exploring additional ways to increase the efficiency of spectral methods for measuring the moisture content in the soil. The question of the optimal construction of a soil moisture monitoring network based on contact dualband optical soil moisture sensors operating in the NIR and SWIR ranges is formulated and solved. It is shown that the use of the usual averaging of the measurement results obtained on two ranges of the sensor when measuring with a constant frequency can lead to an inaccurate result due to differences in the dynamic ranges of optical signals at the detector inputs caused by the non-identity of the humidification conditions of the sub-field. The possibility of choosing an adaptive measurement mode is shown when sub-stages with a large dynamic range of humidity changes should be measured with a higher frequency, proportional to the specified dynamic range, which is equivalent to the implementation of an adaptive measurement mode.

Keywords: dynamic range, informativeness, frequency range, adaptability, measurements.

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Г. Р. Бабаева (ОКБ космического приборостроения, Национальное аэрокосмическое агентство, Баку, Азербайджанская Республика) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

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G. R. Babaeva (National Aerospace Agency, Baku, Republic of Azerbaijan) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

+ - Библиографический список (References) Click to collapse

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Eng

1. Hu W., Chau H. W., Qiu W. W., Si B. C. (2017). Environmental controls on the spatial variability of soil water dynamics in a small watershed. Journal of Hydrology, Vol. 551, pp. 47 – 55.
2.Yang Y., Dou Y. X., Liu D., An S. S. (2017). Spaital pattern and heterogeneity of soil moisture along a transect in a small catchment on the Loess Plateau. Journal of Hydrology, Vol. 550, pp. 446 – 477.
3. Fu Guo, Fu Qiang, Hang Yanhong et al. (2020). Spatial Variability of Soil Moisture in Relation to Land Use Types and Topographic Features on Hillslopes in the Black Soil (Mollisols) Area of Northeast China. Sustainability, MDPI, Vol. 12, (9), pp. 1 – 21.
4. Robinson D. A., Campbell C. S., Hopmans W. et al. Soil Moisture Measurement for Ecological and Hydrological Watershed-Scale. Vadose Zone Journal, Vol. 7, (1), pp. 358–389. DOI:10.2136/vzj2007.0143
5. Sharma P. K., Kumar Dh., Srivastava H. Sh., Patel P. (2018). Assessment of Different Methods for Soil Moisture. Journal of Remote Sensing & GIS, Vol. 9, (1), pp. 57 – 73.
6. Zotarelli L., Dukes M. D., Paranhos M. Minimum Number of Soil Moisture Sensors for Monitoring and Irrigation Purposes. Available at: https://edis.ifas.ufl.edu/pdf/HS/HS1222/HS1222-11819701.pdf
7. Bolotov A. G., Karas' T. A., Levin A. A. et al. (2013). Measurement of soil moisture by frequency dielcometry. Vestnik Altayskogo gosudarstvennogo agrarnogo universiteta, Vol. 110, (12), pp. 36 – 39. [in Russian language]
8. Li T., Mu T., Liu G. et al. (2022). A method of soil moisture content estimation at various soil organic matter conditions based on soil reflectance. Remote Sensing, Vol. 14, (10). DOI: https://doi.org/10.3390/rs14102411
9. Whalley W. R., Leeds-Harrison P. B., Bowman G. E. (1999). Estimation of soil Moisture status using near infrared reflectance. Hydrological processes, Vol. 5, (3), pp. 321 – 327. DOI: https://doi.org/10.1002/hyp.3360050312
10. Oltra-Carrio R., Baup F., Fabre S. et al. (2015). Improvement jf Soil Moisture Retrival from Hyperspectral VNIR-SWIR Data Using Clay Content Information: From Laboratory to Field Experiments. Remote Sensing, MDPI, Vol. 7, (3), pp. 3184 – 3205.
11. Ryoei Lto, Masaki Harada., Ayako Michida et al. Soil Moisture monitoring using near-infrared sensing technique and the Internet in a coffee plantation field. Available at: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.199.4757&rep=rep1&type=pdf
12. El'sgol'ts L. E. (2012). Differential Equations and Variational Calculus. Moscow: Kniga po Trebovaniyu. [in Russian language]

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DOI: 10.14489/td.2022.10.pp.018-023

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