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The aim of this book is to provide an accessible overview for advanced students, resource professionals such as land managers, and policy makers to acquaint themselves with the established science, management practices and policies that facilitate sequestration and allow for the storage of carbon in forests. The book has value to the reader to better understand: a) carbon science and management of forests and wood products; b) the underlying social mechanisms of deforestation; and c) the policy options in order to formulate a cohesive strategy for implementing forest carbon projects and ultimately reducing emissions from forest land use.
A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Land Reso
Forests are valued not only for their economic potential, but also for the biodiversity they contain, the ecological services they provide, and the recreational, cultural, and spiritual opportunities they provide. The Ecological Forest Management Handbook provides a comprehensive summary of interrelated topics in the field, including management con
Volume IV of the Six Volume Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing in forestry, biodiversity, ecology, land use and land cover, and global terrestrial carbon mapping and monitoring. It discusses remote sensing studies of multi-scale habitat modeling, forest informatics, tree and stand height studies, land cover and land use (LCLU) change mapping, forest biomass and carbon modeling and mapping, and advanced image analysis methods and advances in land remote sensing using optical, radar, LiDAR, and hyperspectral remote sensing. 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 for forests, biodiversity, land cover and land use change (LCLUC), biomass, and carbon. Discusses and analyzes data from old and new generations of satellites and sensors spread across 60 years. Extensive forestry, LCLUC studies, biomass, and carbon using optical, radar, LiDAR, and hyperspectral data. 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.
As the United States moves to a low-carbon economy in order to combat global warming, credits for reducing carbon dioxide emissions will increasingly become a commodity that is bought and sold on the open market. Farmers and other landowners can benefit from this new economy by conducting land management practices that help sequester carbon dioxide, creating credits they can sell to industry to "offset" industrial emissions of greenhouse gases. This guide is the first comprehensive technical publication providing direction to landowners for sequestering carbon and information for traders and others who will need to verify the sequestration. It will provide invaluable direction to farmers, foresters, land managers, consultants, brokers, investors, regulators, and others interested in creating consistent, credible greenhouse gas offsets as a tradable commodity in the United States. The guide contains a non-technical section detailing methodologies for scoping of the costs and benefits of a proposed project, quantifying offsets of various sorts under a range of situations and conditions, and verifying and registering the offsets. The technical section provides specific information for quantifying, verifying, and regulating offsets from agricultural and forestry practices. Visit the Nicholas Institute for Environmental Policy Solutions website for audio from the press conference announcing the book. Read the press release announcing the book.
In 2008, agricultural greenhouse gas sources accounted for about 6% of total U.S. greenhouse gas emissions. The U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2008 was developed to provide a comprehensive assessment of the contribution of U.S. agriculture and forestry to greenhouse gas emissions and carbon sequestration. It provides extensive, in-depth emissions and sinks estimates for livestock, cropland, and forests, as well as energy consumption in livestock and cropland agriculture. Estimates are provided at State, regional, and national scales, categorized by land ownership and management practices where possible. Charts and tables. This is a print on demand edition of an important, hard-to-find publication.
Measurement guidelines for forest carbon sequestration were developed to support reporting by public and private entities to greenhouse gas registries. These guidelines are intended to be a reference for designing a forest carbon inventory and monitoring system by professionals with a knowledge of sampling, statistical estimation, and forest measurements. This report provides guidance on defining boundaries; measuring, monitoring, and estimating changes in carbon stocks; implementing plans to measure and monitor carbon; and developing quality assurance and quality control plans to ensure credible and reproducible estimates of the carbon credits.