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. 

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.

 

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.