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Draft_Methodology_GFL.pdf
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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/102505 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/102505 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/102505 archive 353 disk0/00/01/89/74 2023-08-07 11:16:39 2025-03-12 05:00:54 2023-08-07 11:16:39 other show 2 Lesiv M. 8477 0000-0001-9846-3342 Shchepashchenko D. 7435 0000-0002-7814-4990 Buchhorn M. See L. 8571 0000-0002-2665-7065 Dürauer M. 2013 Georgieva I. 2242 0000-0002-5556-794X Jung M. 2245 0000-0002-7569-1390 Hofhansl F. 2222 0000-0003-0073-0946 Schulze K. Bilous A. Blyshchyk V. 8814 Mukhortova L. 8050 Muñoz Brenes C. Krivobokov L.V. Ntie S. Tsogt K. Pietsch S. 2054 0000-0001-6431-2212 Tikhonova E. Kim M. 8828 Su Y.-F. Zadorozhniuk R. Sirbu F. Panging K. Bilous S. Kovalevskii S.B. Harb Rabia A. Vasylyshyn R. Ahmed R. Diachuk P. Kovalevskyi S.S. Bungnamei K. Bordolo K. Churilov A. Vasylyshyn O. Sahariah D. Tertyshnyi A.P. Saikia A. Malek Ž. Singha K. Feshchenko R. Prestele R. Akhtar I.H. Sharma K. Domashovets G. Spawn S. Blyshchyk O. Slyva O. Ilkiv M. Melnyk O. Sliusarchuk V. Karpuk A. Terentiev A. Bilous V. Blyshchyk K. Bilous M. Bogovyk N. Blyshchyk I. Methodology for generating a global forest management layer submitted The first ever global map of forest management was generated based on remote sensing data. To collect training data, we launched a series of Geo-Wiki (https://www.geo-wiki.org/) campaigns involving forest experts from different world regions, to explore which information related to forest management could be collected by visual interpretation of very high-resolution images from Google Maps and Microsoft Bing, Sentinel time series and normalized difference vegetation index (NDVI) profiles derived from Google Earth Engine. A machine learning technique was then used with the visually interpreted sample (280K locations) as a training dataset to classify PROBA-V satellite imagery. Finally, we obtained a global wall-to-wall map of forest management at a 100m resolution for the year 2015. The map includes classes such as intact forests; forests with signs of management, including logging; planted forests; woody plantations with a rotation period up to 15 years; oil palm plantations; and agroforestry. The map can be used to deliver further information about forest ecosystems, protected and observed forest status changes, biodiversity assessments, and other ecosystem-related aspects. 2020-07 published Zenodo 10.5281/zenodo.3933966 181 279 276 73 3152 3143 3022 1159 2952 232 156 public info:eu-repo/semantics/other