Operationalization of Remote Sensing Solutions for Sustainable Forest Management

The great potential of remote sensing technologies for operational use in sustainable forest management is addressed in this book, which is the reprint of papers published in the Remote Sensing Special Issue “Operationalization of Remote ...

Operationalization of Remote Sensing Solutions for Sustainable Forest Management

The great potential of remote sensing technologies for operational use in sustainable forest management is addressed in this book, which is the reprint of papers published in the Remote Sensing Special Issue “Operationalization of Remote Sensing Solutions for Sustainable Forest Management”. The studies come from three continents and cover multiple remote sensing systems (including terrestrial mobile laser scanning, unmanned aerial vehicles, airborne laser scanning, and satellite data acquisition) and a diversity of data processing algorithms, with a focus on machine learning approaches. The focus of the studies ranges from identification and characterization of individual trees to deriving national- or even continental-level forest attributes and maps. There are studies carefully describing exercises on the case study level, and there are also studies introducing new methodologies for transdisciplinary remote sensing applications. Even though most of the authors look forward to continuing their research, nearly all studies introduced are ready for operational use or have already been implemented in practical forestry.

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Operationalization of Remote Sensing Solutions for Sustainable Forest Management
Language: en
Pages: 296
Authors: Gintautas Mozgeris, Ivan Balenovic
Categories: Science
Type: BOOK - Published: 2021-06-02 - Publisher: MDPI

The great potential of remote sensing technologies for operational use in sustainable forest management is addressed in this book, which is the reprint of papers published in the Remote Sensing Special Issue “Operationalization of Remote Sensing Solutions for Sustainable Forest Management”. The studies come from three continents and cover multiple
Remote Sensing for Sustainable Forest Management
Language: en
Pages: 424
Authors: Steven E. Franklin
Categories: Law
Type: BOOK - Published: 2001-06-13 - Publisher: CRC Press

As remote sensing data and methods have become increasingly complex and varied - and increasingly reliable - so have their uses in forest management. New algorithms have been developed in virtually every aspect of image analysis, from classification to enhancements to estimating parameters. Remote Sensing for Sustainable Forest Management reviews
Advances in Forest Inventory for Sustainable Forest Management and Biodiversity Monitoring
Language: en
Pages: 441
Authors: Piermaria Corona, Michael Köhl, Marco Marchetti
Categories: Technology & Engineering
Type: BOOK - Published: 2013-04-17 - Publisher: Springer Science & Business Media

Forests represent a remnant wilderness of high recreational value in the densely populated industrial societies, a threatened natural resource in some regions of the world and a renewable reservoir of essential raw materials for the wood processing industry. In June 1992 the United Nations Conference on the Environment and Development
Geographic Information Systems and Remote Sensing for Sustainable Forest Management Challenge and Innovation in the 21st Century
Language: en
Pages: 81
Authors: R. J. Hall, Northern Forestry Centre (Canada)
Categories: Forest management
Type: BOOK - Published: 2000 - Publisher:

Books about Geographic Information Systems and Remote Sensing for Sustainable Forest Management Challenge and Innovation in the 21st Century
Computer Applications in Sustainable Forest Management
Language: en
Pages: 277
Authors: Guofan Shao, Keith M. Reynolds
Categories: Technology & Engineering
Type: BOOK - Published: 2006-09-27 - Publisher: Springer Science & Business Media

This book is the most comprehensive and up-to-date treatment of computer applications in forestry. It is the first text on software for forest management to emphasize integration of computer applications. It also offers important new insights on how to continue advancing computational technologies in forest management. The authors are internationally-recognized