Environmental Science and Engineering: Rural Livelihood and Sustainable Development

Shit, Pravat Kumar; Pourghasemi, Hamid Reza; Das, Pulakesh; Bhunia, Gouri Sankar

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.

Details

Published by: Springer

Publication Date: 2020-10-09

Format: Hardcover

ISBN-13: 9783030565411

DOI: 10.1007/978-3-030-56542-8

Dimensions: 235cm x155cm

Pages: 675