A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks

A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks

Estimation of terrestrial carbon balance is one of the key tasks in the understanding and prognosis of climate change impacts and the development of tools and policies according to carbon mitigation and adaptation strategies. Forest ecosystems are one of the major pools of carbon stocks affected by...

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Bibliographic Details
Main Authors: Svetlana Illarionova, Dmitrii Shadrin, Polina Tregubova, Vladimir Ignatiev, Albert Efimov, Ivan Oseledets, Evgeny Burnaev
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
computer vision
forestry
remote sensing data
carbon balance
sustainable forestry
climate change
Online Access:https://www.mdpi.com/2072-4292/14/22/5861

Internet

https://www.mdpi.com/2072-4292/14/22/5861

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