A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform

14850 15 79241 2 218919 document 79241 sdata2017136.pdf application/pdf 26d5c2008b577c93a3e6a5ab1499bef3 MD5 3467843 2017-09-26 14:35:23 https://pure.iiasa.ac.at/id/eprint/14850/1/sdata2017136.pdf 14850 1 1 application/pdf text en public cc_by

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/79241 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/79241 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/79241 archive 353 disk0/00/01/48/50 2017-09-26 14:41:22 2025-03-12 05:00:24 2017-09-26 14:41:22 article show 1 Laso Bayas J.C. 2106 0000-0003-2844-3842 Lesiv M. 8477 0000-0001-9846-3342 Waldner F. Schucknecht A. Duerauer M. See L. 8571 0000-0002-2665-7065 Fritz S. 8130 0000-0003-0420-8549 Fraisl D. 2123 0000-0001-7523-7967 Moorthy I. 2089 0000-0002-3664-3855 McCallum I. 1731 0000-0002-5812-9988 Perger C. 1899 Danylo O. 8670 Defourny P. Gallego J. Gilliams S. Akhtar I.H. Baishya S.J. Baruah M. Bungnamei K. Campos A. Changkakati T. Cipriani A. Das K. Das K. Das I. Davis K.F. Hazarika P. Johnson B.A. Malek Z. Molinari M.E. Panging K. Pawe C.K. Pérez-Hoyos A. Sahariah P.K. Sahariah D. Saikia A. Saikia M. Schlesinger P. Seidacaru E. Singha K. Wilson J.W. A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform pub prog_esm Agriculture; Environmental impact; Geography; Sustainability A global reference data set on cropland was collected through a crowdsourcing campaign using the Geo-Wiki crowdsourcing tool. The campaign lasted three weeks, with over 80 participants from around the world reviewing almost 36,000 sample units, focussing on cropland identification. For quality assessment purposes, two additional data sets are provided. The first is a control set of 1,793 sample locations validated by students trained in satellite image interpretation. This data set was used to assess the quality of the crowd as the campaign progressed. The second data set contains 60 expert validations for additional evaluation of the quality of the contributions. All data sets are split into two parts: the first part shows all areas classified as cropland and the second part shows cropland average per location and user. After further processing, the data presented here might be suitable to validate and compare medium and high resolution cropland maps generated using remote sensing. These could also be used to train classification algorithms for developing new maps of land cover and cropland extent. 2017-09-26 published 10.1038/sdata.2017.136 172 181 276 98 2612 211 202 228 59 public Scientific Data 4 e170136 TRUE 2052-4463 Harnessing the power of crowdsourcing to improve land cover and land-use information (CROWDLAND, FP7 617754) FALSE yes info:eu-repo/grantAgreement/EC/FP7/617754/EU//CROWDLAND info:eu-repo/semantics/article info:eu-repo/semantics/openAccess