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            Global Forest Monitoring from Earth Observation

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            Contributor(s)
            Achard, Frédéric (editor)
            Hansen, Matthew C. (editor)
            Language
            English
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            Abstract
            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.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/182323
            Keywords
            Forestry; Ecology - Environment Studies; ENVIRO; AGRICULTURE; SCI-TECH; ENVIRONMENTALSCIENCE; STM; cover; data; inventory; land; landsat; loss; remote; resolution; sensing; spatial; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNK Conservation of the environment; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensing
            DOI
            10.1201/b13040
            Publisher
            Taylor & Francis
            Publisher website
            http://www.taylorandfrancis.com/
            Publication date and place
            2013
            Imprint
            CRC Press
            Pages
            354
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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