This book project examines global forest monitoring as a means to understand the promises and problems of global visualization for climate management. Specifically, the book focuses on Global Forest Watch, the most developed and widely available forest-monitoring platform, created in 1997 by the World Resource Institute. Forest maps are always political as they visualize power relations and form the grid within which forests become commodities. This dislocation of the idea of the forest from its literal roots in the ground has generated problems for forest visualization efforts designed to empower local communities. This book takes a critical humanistic approach to this problem, combining methods from the fields of rhetoric and media studies to suggest solutions to these problems for designers and users of platforms like the Global Forest Watch. To explain why global views of forests can be disempowering, the book relies on biopolitical and rhetorical theories of panopticism and how these views unfold a different violence on different regions of the Earth in relation to colonial history. Using this theoretical framework, the book explains the historical process by which forests came to be classified, quantified, and mapped on a global scale. Interviews with end-users of global forest visualization platforms reveal if and how these platforms support local action. Lastly, the book provides rhetorical solutions to articulate global and local views of forests without reducing one view to the other. These solutions involve looking to forests themselves for clues about how to generate more broadly effective and resilient visualizations. This book will be of great interest to students and scholars of forest studies, climate change, science communication, visualization studies, environmental communication, and environmental conservation.

"This book project examines global forest monitoring as a means to understand the promises and problems of global visualization for climate management. Specifically, the book focuses on the Global Forest Watch, the most developed and widely available forest-monitoring platform which was created in 1997 by the World Resource Institute. Forest maps are always political as they visualize power relations and form the grid within which forests become commodities. This dislocation of the idea of the forest from its literal roots in the ground has generated problems for forest visualization efforts designed to empower local communities. This book takes a critical humanistic approach to this problem, combining methods from the fields of rhetoric and media studies to suggest solutions to these problems for designers and users of platforms like the Global Forest Watch. To explain why global views of forests can be disempowering, the book relies on biopolitical and rhetorical theories of panopticism and how these views unfold a different violence on different regions of the earth in relation to colonial history. Using this theoretical framework, the book explains the historical process by which forests came to be classified, quantified and mapped on a global scale. Interviews with end-users of global forest visualization platforms reveal if and how these platforms support local action. Lastly, the book provides rhetorical solutions to articulate global and local views of forests without reducing one view to the other. Those solutions involve looking to forests themselves for clues about how to generate more broadly effective and resilient visualizations. This book will be of great interest to students and scholars of forest studies, climate change, science communication, visualization studies, environmental communication and environmental conservation"--

Covering recent developments in satellite observation data undertaken for monitoring forest areas from global to national levels, this book highlights operational tools and systems for monitoring forest ecosystems. It also tackles the technical issues surrounding the ability to produce accurate and consistent estimates of forest area changes, which are needed to report greenhouse gas emissions and removals from land use changes. Written by leading global experts in the field, this book offers a launch point for future advances in satellite-based monitoring of global forest resources. It gives readers a deeper understanding of monitoring methods and shows how state-of-art technologies may soon provide key data for creating more balanced policies.

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 authorities in the subjects presented.

Volume I of the Six Volume Remote Sensing Handbook, Second Edition, is focused on satellites and sensors including radar, light detection and ranging (LiDAR), microwave, hyperspectral, unmanned aerial vehicles (UAVs), and their applications. It discusses data normalization and harmonization, accuracies, and uncertainties of remote sensing products, global navigation satellite system (GNSS) theory and practice, crowdsourcing, cloud computing environments, Google Earth Engine, and remote sensing and space law. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context. FEATURES Provides the most up-to-date comprehensive coverage of remote sensing science. Discusses and analyzes data from old and new generations of satellites and sensors. Provides comprehensive methods and approaches for remote sensing data normalization, standardization, and harmonization. Includes numerous case studies on advances and applications at local, regional, and global scales. Introduces advanced methods in remote sensing such as machine learning, cloud computing, and AI. Highlights scientific achievements over the last decade and provides guidance for future developments. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision-makers, and policymakers, will benefit from the expertise of the professionals featured in this book, and their extensive knowledge of new and emerging trends.

The topics of the book cover forest parameter estimation, methods to assess land cover and change, forest disturbances and degradation, and forest soil drought estimations. Airborne laser scanner data, aerial images, as well as data from passive and active sensors of different spatial, spectral and temporal resolutions have been utilized. Parametric and non-parametric methods including machine and deep learning methods have been employed. Uncertainty estimation is a key topic in each study. In total, 15 articles are included, of which one is a review article dealing with methods employed in remote sensing aided greenhouse gas inventories, and one is the Editorial summary presenting a short review of each article.