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    por Lesiv, Myroslava, Schepaschenko, Dmitry, Buchhorn, Marcel, See, Linda, Dürauer, Martina, Georgieva, Ivelina, Jung, Martin, Hofhansl, Florian, Schulze, Katharina, Bilous, Andrii, Blyshchyk, Volodymyr, Mukhortova, Liudmila, Brenes, Carlos Luis Muñoz, Krivobokov, Leonid, Ntie, Stephan, Tsogt, Khongor, Pietsch, Stephan Alexander, Tikhonova, Elena, Kim, Moonil, Di Fulvio, Fulvio, Su, Yuan-Fong, Zadorozhniuk, Roma, Sirbu, Flavius Sorin, Panging, Kripal, Bilous, Svitlana, Kovalevskii, Sergii B., Kraxner, Florian, Rabia, Ahmed Harb, Vasylyshyn, Roman, Ahmed, Rekib, Diachuk, Petro, Kovalevskyi, Serhii S., Bungnamei, Khangsembou, Bordoloi, Kusumbor, Churilov, Andrii, Vasylyshyn, Olesia, Sahariah, Dhrubajyoti, Tertyshnyi, Anatolii P., Saikia, Anup, Malek, Žiga, Singha, Kuleswar, Feshchenko, Roman, Prestele, Reinhard, Akhtar, Ibrar ul Hassan, Sharma, Kiran, Domashovets, Galyna, Spawn-Lee, Seth A., Blyshchyk, Oleksii, Slyva, Oleksandr, Ilkiv, Mariia, Melnyk, Oleksandr, Sliusarchuk, Vitalii, Karpuk, Anatolii, Terentiev, Andrii, Bilous, Valentin, Blyshchyk, Kateryna, Bilous, Maxim, Bogovyk, Nataliia, Blyshchyk, Ivan, Bartalev, Sergey, Yatskov, Mikhail, Smets, Bruno, Visconti, Piero, Mccallum, Ian, Obersteiner, Michael, Fritz, Steffen
    Publicado 2022
    “…We developed the reference dataset of 226 K unique locations through a series of expert and crowdsourcing campaigns using Geo-Wiki (https://www.geo-wiki.org/). We then combined the reference samples with time series from PROBA-V satellite imagery to create a global wall-to-wall map of forest management at a 100 m resolution for the year 2015, with forest management class accuracies ranging from 58% to 80%. …”
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    Online Artículo Texto
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    “…In this paper we validate three recent global products (ESA-CCI, GlobeLand30, FROM-GC) and one regional product (Tanzania Land Cover 2010 Scheme II) using a validation data set that was collected by students through the Geo-Wiki tool. The ultimate aim was to understand the usefulness of these products for agricultural monitoring. …”
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    Online Artículo Texto
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    “…This paper examined crowdsourced data from the Geo-Wiki crowdsourcing tool for land cover validation to determine whether there were significant differences in quality between the answers provided by experts and non-experts in the domain of remote sensing and therefore the extent to which crowdsourced data describing human impact and land cover can be used in further scientific research. …”
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    “…Here we describe the global land cover and land use reference data derived from the Geo-Wiki crowdsourcing platform via four campaigns. These global datasets provide information on human impact, land cover disagreement, wilderness and land cover and land use. …”
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