Spatial high-resolution modelling and uncertainty assessment of forest growing stock volume based on remote sensing and environmental covariates

Author:

Suleymanov Azamat,Bogdan Ekaterina,Gaysin Ildar,Volkov Alexander,Tuktarova Iren,Belan Larisa,Shagaliev Ruslan

Funder

Ministry of Education and Science of the Russian Federation

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry

Reference66 articles.

1. Ecosystem services of the cryogenic environments: identification, evaluation and monetisation - a review;Abakumov;J. Water Land Dev.,2022

2. Anuchin, N.P., 1982. Forest Taxation; Forestry Industry. Moscow. (In Russian).

3. Assessing and mapping changes in forest growing stock volume over time in bashkiriya Nature Reserve, Russia;Belan;Forests 13,2023

4. Modelling for forest growing stock assessment using satellite data — a case study;Benchalli;J. Indian Soc. Remote Sens,1998

5. The state of mountain forest ecosystems in the Bashkir Nature Reserve (Southern Urals);Biembetov;BIO Web Conf.,2021

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