Jim Penman
Integration of remote-sensing and ground-based observations for estimation of emissions and removals of greenhouse gases in forests: methods and guidance from the Global Forest Observations Initiative
Penman, Jim; Green, Carly; Olofsson, Pontus; Raison, John; Woodcock, Curtis; Balzter, Heiko; Baltuck, Miriam; Foody, Giles M.
Authors
Carly Green
Pontus Olofsson
John Raison
Curtis Woodcock
Heiko Balzter
Miriam Baltuck
Professor GILES FOODY giles.foody@nottingham.ac.uk
PROFESSOR OF GEOGRAPHICAL INFORMATION
Abstract
The Global Forest Observations Initiative (GFOI) was established by GEO in 2011, to assist countries to produce reliable, consistent reports on change in forest cover and forest use, and associated anthropogenic greenhouse gas emissions and removals.
Citation
Penman, J., Green, C., Olofsson, P., Raison, J., Woodcock, C., Balzter, H., Baltuck, M., & Foody, G. M. (2016). Integration of remote-sensing and ground-based observations for estimation of emissions and removals of greenhouse gases in forests: methods and guidance from the Global Forest Observations Initiative. U.N.Food and Agriculture Organization
Report Type | Project Report |
---|---|
Acceptance Date | Oct 1, 2016 |
Publication Date | Oct 1, 2016 |
Deposit Date | Jan 11, 2017 |
Publicly Available Date | Jan 11, 2017 |
Public URL | https://nottingham-repository.worktribe.com/output/974817 |
Publisher URL | https://www.fs.usda.gov/research/treesearch/56461 |
Additional Information | "© 2016 Commonwealth of Australia.The material may be freely distributed provided the Global Forest Observations Initiative is acknowledged."-- page 4. // Edition 2.0. Creators listed include Lead Author Team and three of the 54 authors and contributors including the University of Nottingham's contributor. |
Contract Date | Jan 11, 2017 |
Files
GFOI-MGD-2.0-english.pdf
(10.1 Mb)
PDF
Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf
You might also like
Spatial–Temporal Analysis of Greenness and Its Relationship with Poverty in China
(2024)
Journal Article
Under the mantra: 'Make use of colorblind friendly graphs'
(2024)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search