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Springer Handbook on Advances in Remote Sensing and GIS - Forest Modeling

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Description

This comprehensive handbook from Springer presents cutting-edge advances in remote sensing and geographic information systems with practical applications in forest landscape modelling. Organised into four focused sections, the book covers Airborne Light Detection and Ranging (LiDAR) and optical forest measurements, individual tree modelling techniques, landscape scene modelling approaches, and forest ecosystem modelling strategies. Written for students, researchers, practitioners, and educators, this volume in the Intelligent Systems Reference Library series provides in-depth coverage of how remote sensing technologies and GIS applications transform our understanding of forest environments and enable data-driven decision-making in forestry and environmental management.

Key Features

LiDAR and optical measurement techniques for airborne forest data collection and analysis.

Individual tree modelling methods that leverage remote sensing data for precise tree characterisation.

Landscape scene modelling approaches that integrate GIS systems for regional forest assessment.

Forest ecosystem modelling frameworks designed for comprehensive environmental analysis and monitoring.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
18 July 2018
Listed Since
18 July 2018

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