Spatial modeling in forest resources management. Rural livelihood and sustainable development
This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources. Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner. By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications.
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| Format: | Texto biblioteca |
| Language: | eng |
| Published: |
Cham (Switzerland) Springer
2021
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| Subjects: | environmental sciences, forest resources, ecosystem services, management, remote sensing, livelihoods, carbon stock assessments, community forestry, SDGs, Goal 15 Life on land, |
| Online Access: | https://link-springer-com.fao.idm.oclc.org/book/10.1007/978-3-030-56542-88 |
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