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

17764 9 96671 2 297876 document 96671 s41597-021-01105-4.pdf application/pdf bbfffe8fb54c408280545079e4cd6564 MD5 2941263 2022-01-24 07:40:07 https://pure.iiasa.ac.at/id/eprint/17764/1/s41597-021-01105-4.pdf 17764 1 1 application/pdf text en public cc_by_4

s41597-021-01105-4.pdf

published 96674 1 297892 document 96674 indexcodes.txt text/x-c++ cb416ee780a79c79c7c897b4e59ed6ab MD5 12707 2022-01-24 07:50:12 https://pure.iiasa.ac.at/id/eprint/17764/2/indexcodes.txt 17764 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

lightbox.jpg

preview.jpg

medium.jpg

small.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/96671 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/96671 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/96671 archive 353 disk0/00/01/77/64 2022-01-24 07:43:36 2024-09-09 12:49:44 2022-01-24 07:43:36 article show 2 See L. 8571 0000-0002-2665-7065 Georgieva I. 2242 0000-0002-5556-794X Dürauer M. 2013 Kemper T. Corbane C. Maffenini L. Gallego J. Pesaresi M. Sirbu F. Ahmed R. Blyshchyk K. Magori B. Blyshchyk V. Melnyk O. Zadorozhniuk R. Mandici M.-T. Su Y.-F. Rabia A.H. Pérez-Hoyos A. Vasylyshyn R. Pawe C.K. Bilous S. Kovalevskyi S.B. Kovalevskyi S.S. Bordoloi K. Bilous A. Panging K. Bilous V. Prestele R. Sahariah D. Deka A. Nath N. Neves R. Myroniuk V. Karner M. 1983 Fritz S. 8130 0000-0003-0420-8549 A crowdsourced global data set for validating built-up surface layers pub ASA NODES SI 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, we designed a validation sample set of 50 K locations using a stratified sampling approach independent of any existing global built-up surface products. We launched a crowdsourcing campaign using Geo-Wiki (https://www.geo-wiki.org/) to visually interpret this sample set for built-up surfaces using very high-resolution satellite images as a source of reference data for labelling the samples, with a minimum of five validations per sample location. Data were collected for 10 m sub-pixels in an 80 × 80 m grid to allow for geo-registration errors as well as the application of different validation modes including exact pixel matching to majority or percentage agreement. The data set presented in this paper is suitable for the validation and inter-comparison of multiple products of built-up areas. 2022-01-20 published Nature Publishing Group 10.1038/s41597-021-01105-4 276 3152 73 144 98 public Scientific Data 9 1 TRUE 2052-4463 no info:eu-repo/semantics/article