Spatial Modeling in Forest Resources Management
Language: English
Published by Springer International Publishing, 2020
Series: Book 119 of 127 - Environmental Science and Engineering
- Hardcover
- New

Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
£ 120.40
Quantity: Over 20 available
Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Written in reader-friendly, lucid languagePresents clear concepts of geospatial techniquesIncludes case studies that apply modern machine learning modelsMotivates general readers as well as researchers to become involved in forest reso.
Seller Inventory # 448684820
- Title
- Spatial Modeling in Forest Resources Management
- Publisher
- Springer International Publishing
- Publication year
- 2020
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3030565416
- ISBN 13
- 9783030565411
- Series
- Book 119 of 127: Environmental Science and Engineering
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
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.
"Synopsis" may belong to another edition of this title.
About the Author
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
"About the title" may belong to another edition of this title.
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| Item | 26 to 60 business days | 26 to 60 business days |
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