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Study of the Possibilities of H-α Decomposition for Double Polarization in Radar Monitoring of Afforestation

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Abstract

An estimate of the processes of afforestation and forest restoration after fires is relevant for a significant territory of Russia, including due to the issue of carbon neutrality. In this paper we examine the possibilities of radar monitoring of the afforestation process based on the Cloude–Pottier decomposition of dual-polarization L-band data time series. Preliminary segmentation is performed based on the minimal radar backscatter values for the entire observation period. This makes it possible to separate into a separate class treeless areas and open forests, both those that existed before the beginning of the study and those that formed later. Next, polarimetric decomposition is performed by the Cloude–Pottier method to obtain parameters H (entropy) and α (scattering angle) and form time series from them. Research showed the fundamental possibility of monitoring forest dynamics on the H-α plane, where the points of the test plots form characteristic time tracks. A mature dense forest, the characteristics of which are assumed to be constant, was used as a reference for estimating the rate of change on the H-α plane.

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ACKNOWLEDGMENTS

ALOS-1 and -2, PALSAR-1 and -2, data were provided by the Japan Aerospace Exploration Agency in 2018–2021 in accordance with the ALOS-2 RA6 project (PI: 3092).

Funding

This study was supported by the Russian Science Foundation, project no. 22-27-20081.

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Authors and Affiliations

  1. Institute of Physical Materials Science, Siberian Branch, Russian Academy of Sciences, 670047, Ulan-Ude, Buryatia, Russia

    A. V. Dmitriev, T. N. Chimitdorzhiev, I. I. Kirbizhekova & Zh. D. Nomshiev

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  1. A. V. Dmitriev
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  2. T. N. Chimitdorzhiev
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  3. I. I. Kirbizhekova
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  4. Zh. D. Nomshiev
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Correspondence to A. V. Dmitriev.

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Translated by A. Ivanov

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Dmitriev, A.V., Chimitdorzhiev, T.N., Kirbizhekova, I.I. et al. Study of the Possibilities of H-α Decomposition for Double Polarization in Radar Monitoring of Afforestation. Izv. Atmos. Ocean. Phys. 59, 1263–1270 (2023). https://doi.org/10.1134/S0001433823120058

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