A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform
A global reference dataset 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 1793 sample locations validated by students trained in satellite image interpretation. This dataset was used to assess the quality of the crowd as the campaign progressed. The second dataset contains 60 expert validations for additional evaluation of contributions quality. 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. The results of the cropland validation campaign can be used to validate and compare medium and high resolution cropland maps that have been generated using remote sensing. These can also be used to train classification algorithms for developing new maps of land cover and cropland extent.
LASO-BAYAS Juan Carlos;
LESIV Myroslava;
WALDNER François;
SCHUCKNECHT Anne;
DUERAUER Martina;
SEE Linda;
FRITZ Steffen;
FRAISL Dilek;
MOORTHY Inian;
MCCALLUM Ian;
PERGER Christoph;
DANYLO Olha;
DEFOURNY Pierre;
GALLEGO PINILLA Francisco;
GILLIAMS Sven;
AKHTAR Ibrar Ul Hassan;
BAISHYA Swarup Jyoti;
BARUAH Mrinal;
BUNGNAMEI Khansembou;
CAMPOS Alfredo N.;
CHANGKAKATI Trishna;
CIPRIANI Anna;
DAS Krishna;
DAS Keemee;
DAS Inamani;
DAVIS Kyle Frankel;
HAZARIKA Purabi;
JOHNSON Brian Alan;
MALEK Ziga;
MOLINARI Monia Elisa;
PANGING Kripal;
PAWE Chandra Kant;
PEREZ HOYOS Ana;
SAHARIAH Parag Kumar;
SAHARIAH Dhrubajyoti;
SAIKIA Anup;
SAIKIA Meghna;
SCHLESINGER Peter;
SEIDACARU Elena;
SINGHA Kuleswar;
WILSON John;
2018-01-18
NATURE PUBLISHING GROUP
JRC108154
2052-4463,
https://www.nature.com/articles/sdata2017136,
https://publications.jrc.ec.europa.eu/repository/handle/JRC108154,
10.1038/sdata.2017.136,
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