| snippet:
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Description:
The University of Maryland, Wildlife Conservation Society, Greenpeace, and Transparent World updated of the global IFL map for the year 2016. The project was funded by the John D. and Catherine T. MacArthur Foundation, Wildlife Conservation Society, and Greenpeace. The update employed Landsat data and annual forest cover change products produced by the Global Land Analysis and Discover lab. Latest available cloud-free Landsat observation composites for visual IFL change assessment were used. The update IFL layer represent situation as close as possible to the end for the year 2016 and beginning of the year 2017. The IFL method could be used for fast and cost-effective assessment and monitoring of forest degradation in the context of REDD+ mechanism and for responsible forest management certification process, e.g. according to the Forest Stewardship Council (FSC) standards.
Credits:
Greenpeace, University of Maryland, World Resources Institute and Transparent World. “Intact Forest Landscapes 2000/2013/2016” Available at www.intactforests.org
Potapov P., Yaroshenko A., Turubanova S., Dubinin M., Laestadius L., Thies C., Aksenov D., Egorov A., Yesipova Y., Glushkov I., Karpachevskiy M., Kostikova A., Manisha A., Tsybikova E., Zhuravleva I. 2008. Mapping the World's Intact Forest Landscapes by Remote Sensing. Ecology and Society, 13 (2)
License:
Creative Commons Attribution 4.0 International License |
| summary:
|
Description:
The University of Maryland, Wildlife Conservation Society, Greenpeace, and Transparent World updated of the global IFL map for the year 2016. The project was funded by the John D. and Catherine T. MacArthur Foundation, Wildlife Conservation Society, and Greenpeace. The update employed Landsat data and annual forest cover change products produced by the Global Land Analysis and Discover lab. Latest available cloud-free Landsat observation composites for visual IFL change assessment were used. The update IFL layer represent situation as close as possible to the end for the year 2016 and beginning of the year 2017. The IFL method could be used for fast and cost-effective assessment and monitoring of forest degradation in the context of REDD+ mechanism and for responsible forest management certification process, e.g. according to the Forest Stewardship Council (FSC) standards.
Credits:
Greenpeace, University of Maryland, World Resources Institute and Transparent World. “Intact Forest Landscapes 2000/2013/2016” Available at www.intactforests.org
Potapov P., Yaroshenko A., Turubanova S., Dubinin M., Laestadius L., Thies C., Aksenov D., Egorov A., Yesipova Y., Glushkov I., Karpachevskiy M., Kostikova A., Manisha A., Tsybikova E., Zhuravleva I. 2008. Mapping the World's Intact Forest Landscapes by Remote Sensing. Ecology and Society, 13 (2)
License:
Creative Commons Attribution 4.0 International License |
| extent:
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[[-172.703140257822,-55.4623450462786],[178.239257812873,69.7322106743927]] |
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["Data","Service","Map Service","ArcGIS Server"] |
| description:
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| catalogPath:
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| title:
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IFL_2016 |
| type:
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Map Service |
| url:
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| tags:
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["IFL","Intact","Forest"] |
| culture:
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en-US |
| name:
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IFL_2016 |
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0D5853A5-0091-44FD-9104-2B0A5A347822 |
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WGS_1984_Web_Mercator_Auxiliary_Sphere |