Extended! eBooks from the 'Springer Archives' only $8.99 each–save now!

Environmental Science and Engineering

Spatial Modeling in Forest Resources Management

Rural Livelihood and Sustainable Development

Editors: Shit, P.K., Pourghasemi, H.R., Das, P., Bhunia, G.S. (Eds.)

Free Preview
  • Written in reader-friendly, lucid language
  • Presents clear concepts of geospatial techniques
  • Includes case studies that apply modern machine learning models
  • Motivates general readers as well as researchers to become involved in forest resources management
  • Covers novel analytical and diagnostic techniques using open source software like Q-GIS, R programming, Dyna-CLUE LULC model
see more benefits

Buy this book

eBook $119.00
price for USA in USD
  • ISBN 978-3-030-56542-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
  • ISBN 978-3-030-56541-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

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.

 

About the authors

Pravat Kumar Shit is an Assistant Professor at the PG Department of Geography, Raja N. L. Khan Women’s College (Autonomous), West Bengal, India. He received his M.Sc & Ph.D. degrees in Geography from Vidyasagar University and PG Diploma in Remote Sensing & GIS from Sambalpur University. His research interests include soil erosion spatial modelling, groundwater, forest resources and natural resources mapping & modeling. He has published five books (three books in Springer) and more than 50 papers in peer-reviewed journals. 

Hamid Reza Pourghasemi is an Associate Professor of Watershed Management Engineering at the College of Agriculture, Shiraz University, Iran. He holds a B.Sc, an M.Sc, and PhD in Watershed Management Engineering from the University of Gorgan, Iran, and Tarbiat Modares University, Iran, respectively. His main research interests are GIS-based spatial modeling using machine learning/data mining techniques in different fields, such as landslide, flood, gully erosion, forest fire, land subsidence, species distribution modeling, and groundwater/hydrology. He has published more than 100 peer-reviewed papers in high-quality journals. Also, he published two books with Springer.

Pulakesh Das received his Ph.D. from the Indian Institution of Technology Kharagpur, India. Currently he is teaching as an Assistant Professor at the Department of Remote Sensing & GIS, Vidyasagar University, West Bengal, India. He completed his B.Sc in Physics and M.Sc in Remote Sensing & GIS at the same university. His research areas include land use and forest cover modeling, hydrological modeling, study of forest cover dynamics and climate change, and digital image processing. He has published more than 15 research articles in respected, peer-reviewed journals.

Gouri Sankar Bhunia received his Ph.D. from the University of Calcutta, India. His Ph.D. dissertation focused on environmental control of infectious disease using geospatial technology. His research interests include environmental modeling, risk assessment, natural resources mapping and modeling, data mining and information retrieval using geospatial technology. Dr. Bhunia has published more than 60 articles in various leading journals

Table of contents (28 chapters)

Table of contents (28 chapters)
  • Forest Management with Advance Geoscience: Future Prospects

    Pages 3-31

    Bhunia, Gouri Sankar (et al.)

  • Estimation of Net Primary Productivity: An Introduction to Different Approaches

    Pages 33-69

    Deb Burman, Pramit Kumar

  • Assessing Forest Health using Geographical Information System Based Analytical Hierarchy Process: Evidences from Southern West Bengal, India

    Pages 71-102

    Dutta, Shyamal (et al.)

  • Ecological Determinants of Woody Plant Species Richness in the Indian Himalayan Forest

    Pages 103-123

    Swapna, Mahanand (et al.)

  • Multivariate Analysis of Soil-Vegetation Interaction and Species Diversity in a Natural Environment of

    Pages 125-152

    Ghollasimod, Sh. (et al.)

Buy this book

eBook $119.00
price for USA in USD
  • ISBN 978-3-030-56542-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
  • ISBN 978-3-030-56541-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Spatial Modeling in Forest Resources Management
Book Subtitle
Rural Livelihood and Sustainable Development
Editors
  • Pravat Kumar Shit
  • Hamid Reza Pourghasemi
  • Pulakesh Das
  • Gouri Sankar Bhunia
Series Title
Environmental Science and Engineering
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-56542-8
DOI
10.1007/978-3-030-56542-8
Hardcover ISBN
978-3-030-56541-1
Series ISSN
1863-5520
Edition Number
1
Number of Pages
XIX, 675
Number of Illustrations
27 b/w illustrations, 188 illustrations in colour
Topics