A crowdsourced global data set for validating built-up surface layers

Several global high-resolution built-up surface products have emerged over the last five years, taking full advantage of open sources of satellite data such as Landsat and Sentinel. However, these data sets require validation that is independent of the producers of these products. To fill this gap,...

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Detalles Bibliográficos
Autores principales: See, Linda, Georgieva, Ivelina, Duerauer, Martina, Kemper, Thomas, Corbane, Christina, Maffenini, Luca, Gallego, Javier, Pesaresi, Martino, Sirbu, Flavius, Ahmed, Rekib, Blyshchyk, Kateryna, Magori, Brigitte, Blyshchyk, Volodymyr, Melnyk, Oleksandr, Zadorozhniuk, Roman, Mandici, Marian-Traian, Su, Yuan-Fong, Rabia, Ahmed Harb, Pérez-Hoyos, Ana, Vasylyshyn, Roman, Pawe, Chandra Kant, Bilous, Svitlana, Kovalevskyi, Serhii B., Kovalevskyi, Sergii S., Bordoloi, Kusumbor, Bilous, Andrii, Panging, Kripal, Bilous, Valentyn, Prestele, Reinhard, Sahariah, Dhrubajyoti, Deka, Anjan, Nath, Nityaranjan, Neves, Rui, Myroniuk, Viktor, Karner, Mathias, Fritz, Steffen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776881/
https://www.ncbi.nlm.nih.gov/pubmed/35058477
http://dx.doi.org/10.1038/s41597-021-01105-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776881/
https://www.ncbi.nlm.nih.gov/pubmed/35058477
http://dx.doi.org/10.1038/s41597-021-01105-4

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