Spatial Modeling in Forest Resources Management
Rural Livelihood and Sustainable Development
Series: Environmental Science and Engineering;
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66 563 Ft
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Product details:
- Edition number 1st ed. 2021
- Publisher Springer International Publishing
- Date of Publication 10 October 2021
- Number of Volumes 1 pieces, Book
- ISBN 9783030565442
- Binding Paperback
- See also 9783030565411
- No. of pages675 pages
- Size 235x155 mm
- Weight 1050 g
- Language English
- Illustrations XIX, 675 p. 215 illus., 188 illus. in color. Illustrations, black & white 194
Categories
Long description:
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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Table of Contents:
Forest Resources Measurement, Monitoring and Mapping.- Application of RS-GIS-R for forest resources assessment, monitoring, and modeling.- Assessment and measurement of forest resources for sustainable land use planning.- Species diversity mapping and modeling.- Afforestation.- Soil-Water-Vegetation Relationship.- Modeling, Risk Assessment, and Vulnerability.- Forest biomass and carbon stock modeling.- Remote sensing based deforestation analysis.- Forest and habitats suitability analysis.- Habitats and species modeling.- Google Earth Engine and its application in forest sciences.- Rural livelihood and Sustainable Management.- The role of timber and non-timber forest products in poverty reduction.- The role of communities in sustainable land and forest management.- Politics of co-optation: community forest management versus joint forest management.- Open source satellite data and GIS for forest resources mapping and monitoring.- Recent trends in forest resources management and land useplanning.
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