Advances in Remote Sensing for Forest Monitoring

Remote sensing is used to monitor forests, plantations, and other vegetation, and the book discusses the use of unmanned aerial vehicles, drones, multisource, and multi-sensor data. It offers contributions from researchers and practitioners from various backgrounds and geographical regions and provides practical advice on how to apply machine learning tools to remote sensing data.

Format: Hardback
Length: 400 pages
Publication date: 10 November 2022
Publisher: John Wiley and Sons Ltd

Remote sensing has revolutionized the field of forest monitoring, providing a cost-effective and efficient means of gathering data on vegetation health and growth. In this comprehensive overview, a team of distinguished researchers explores the latest advancements in remote sensing technologies, including unmanned aerial vehicles (UAVs) and drones, multisource and multi-sensor data, and machine learning tools. The book provides a thorough introduction to forest monitoring, covering recent advances in remote sensing technology and their applications in sustainable forest management. It also includes case studies of monitoring biochemical and biophysical parameters of forests, such as carotene and xanthophyll content.

The use of remote sensing solutions has been expanding in real-world settings, from monitoring deforestation and forest fires to assessing the impact of climate change on forests. The book offers practical advice on how to apply machine learning tools to remote sensing data, enabling researchers and practitioners to extract valuable insights from large datasets.

Advances in Remote Sensing for Forest Monitoring is an essential resource for postgraduates, lecturers, and researchers in the fields of environmental science, forestry, and natural resource management. It will also be valuable to professionals and researchers working with remote sensing technology. With its comprehensive coverage of remote sensing technologies, sustainable forest management, and machine learning applications, the book is poised to become a landmark publication in the field.

Weight: 896g
Dimension: 176 x 251 x 28 (mm)
ISBN-13: 9781119788126