Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2025, Vol. 22, No. 2, pp. 154-162
Monitoring forest plant moisture using L1-band navigation satellite signals
D.V. Kharlamov
1 , D.S. Makarov
1 , V.G. Podoprigora
2, 3 , M.Yu. Reushev
1, 3 1 Krasnoyarsk Science Center SB RAS, Krasnoyarsk, Russia
2 Kirensky Institute of Physics SB RAS, Krasnoyarsk, Russia
3 Siberian Federal University, Krasnoyarsk, Russia
Accepted: 04.03.2025
DOI: 10.21046/2070-7401-2025-22-2-154-162
This paper presents the results of a research on biometric characteristics of woodlands, namely moisture content of forest and moisture content of underlying surface. The research has been carried out using the radio illumination method that uses signals from navigation satellites operating in the L1 band (λ ≈ 0.19 m). During field tests, measurements were made of the attenuation of navigation signals in the forest area during its vegetative activity from May to September 2024. The tests were conducted in the area of the village of Pamyati 13 Bortsov, Yemelyanovsky District, Krasnoyarsk Krai, under different weather conditions (no precipitation/precipitation). In parallel with the measurements of the power of navigation signals, measurements of stand moisture were carried out using a portable moisture meter. The primary processing of the measurement results was performed using a cloud-based data processing service. The test results are presented in the form of amplitude-time dependences of the power of radio signals received by the navigation receiver and their amplitude-frequency characteristics obtained by data processing using the fast Fourier transform technique. To analyze the experimental results obtained, the paper presents a dielectric model of the forest, with moisture of forest canopy taken into account. The studies show that the absorption of navigation signal power depends on moisture content of trees, and these data can be useful in tracking the state of forests.
Keywords: navigation satellite signals, radio transmission, layered media, forest, dielectric model, moisture
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