| Autor: |
Lesiv, Myroslava, Schepaschenko, Dmitry, Buchhorn, Marcel, See, Linda, Duerauer, Martina, Georgieva, Ivelina, Jung, Martin, Hofhansl, Florian, Schulze, Katharina, Bilous, Andrii, Blyshchyk, Volodymyr, Mukhortova, Liudmila, Muñoz Brenes, Carlos, Krivobokov, Leonid V., Ntie, Stephan, Tsogt, Khongor, Pietsch, Stephan, Tikhonova, Elena, Kim, Moonil, Su, Yuan-Fong, Zadorozhniuk, Roman, Sirbu, Flavius, Panging, Kripal, Bilous, Svitlana, Kovalevskii, Sergii B., Harb Rabia, Ahmed, Vasylyshyn, Roman, Ahmed, Rekib, Diachuk, Petro, Kovalevskyi, Serhii S., Bungnamei, Khangsembou, Bordolo, Kusumbor, Churilov, Andrii, Vasylyshyn, Olesia, Sahariah, Dhrubajyoti, Tertyshnyi, Anatolii P., Saikia, Anup, Malek , Žiga, Singha, Kuleswar, Feshchenko, Roman, Prestele, Reinhard, I. H. Akhtar, Sharma, Kiran, Domashovets, Galyna, Spawn, Seth, Blyshchyk, Oleksii, Slyva, Oleksandr, Ilkiv, Mariia, Melnyk, Oleksandr, Sliusarchuk, Vitalii, Karpuk, Anatolii, Terentiev, Andrii, Bilous, Valentin, Blyshchyk, Kateryna, Bilous, Maxim, Bogovyk, Nataliia, Blyshchyk, Ivan |
| Rok vydání: |
2020 |
| DOI: |
10.5281/zenodo.3933965 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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