Spatial Modeling in Forest Resources Management - Rural Livelihood and Sustainable Development (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Environmental Science and Engineering
Release date:	October 2020
First published:	2021
Editors:	Pravat Kumar Shit • Hamid Reza Pourghasemi • Pulakesh Das • Gouri Sankar Bhunia
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	675
Edition:	1st ed. 2021
ISBN-13:	978-3-03-056541-1
Categories:	Books > Professional & Technical > Environmental engineering & technology > General
LSN:	3-03-056541-6
Barcode:	9783030565411

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