Optimal Survey Design for Forest Carbon Monitoring in Remote Regions Using Multi-Objective Mathematical Programming

Optimal Survey Design for Forest Carbon Monitoring in Remote Regions Using Multi-Objective Mathematical Programming

Cost-effective monitoring of forest carbon resources is critical to the development of national policies and enforcement of international agreements aimed at reducing carbon emissions and mitigating the impacts of climate change. While carbon monitoring systems are often based on national forest inv...

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Bibliographic Details
Main Authors: Sándor F. Tóth, Kiva L. Oken, Christine C. Stawitz, Hans-Erik Andersen
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Forests
Subjects:
optimal sampling design
forest carbon
multi-objective binary programming
tradeoff analysis
lidar
Online Access:https://www.mdpi.com/1999-4907/13/7/972

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