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Application of various approaches of multispectral and radar data fusion for modelling of aboveground forest biomass Cover

Application of various approaches of multispectral and radar data fusion for modelling of aboveground forest biomass

Folia Forestalia Polonica
Volume 65 (2023): Issue 2 (June 2023)
By: Dmytro Movchan,  Andrii Bilous,  Lesia Yelistratova,  Alexander Apostolov and  Artur Hodorovsky  
Open Access
|Jun 2023

Authors

Dmytro Movchan

National Academy of Sciences of Ukraine, Scientific Centre for Aerospace Research of the Earth, Kyiv, Ukraine

Andrii Bilous

National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine

Lesia Yelistratova

National Academy of Sciences of Ukraine, Scientific Centre for Aerospace Research of the Earth, Kyiv, Ukraine

Alexander Apostolov

alex_aaa_2000@ukr.net

National Academy of Sciences of Ukraine, Scientific Centre for Aerospace Research of the Earth, Kyiv, Ukraine

Artur Hodorovsky

National Academy of Sciences of Ukraine, Scientific Centre for Aerospace Research of the Earth, Kyiv, Ukraine
DOI: https://doi.org/10.2478/ffp-2023-0006 | Journal eISSN: 2199-5907 | Journal ISSN: 0071-6677
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Language: English
Page range: 55 - 67
Submitted on: Dec 12, 2022
|
Accepted on: Mar 27, 2023
|
Published on: Jun 12, 2023
Published by: Forest Research Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
carbon cycle,
forest ecosystems,
growing stock volume,
multi-sensor remote sensing concept,
Ukrainian Polissya
Related subjects:
Life sciences,
Plant science,
Medicine,
Veterinary medicine

© 2023 Dmytro Movchan, Andrii Bilous, Lesia Yelistratova, Alexander Apostolov, Artur Hodorovsky, published by Forest Research Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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