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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-09-26

AUTHORS

Juan Carlos Laso Bayas, Myroslava Lesiv, François Waldner, Anne Schucknecht, Martina Duerauer, Linda See, Steffen Fritz, Dilek Fraisl, Inian Moorthy, Ian McCallum, Christoph Perger, Olha Danylo, Pierre Defourny, Javier Gallego, Sven Gilliams, Ibrar ul Hassan Akhtar, Swarup Jyoti Baishya, Mrinal Baruah, Khangsembou Bungnamei, Alfredo Campos, Trishna Changkakati, Anna Cipriani, Krishna Das, Keemee Das, Inamani Das, Kyle Frankel Davis, Purabi Hazarika, Brian Alan Johnson, Ziga Malek, Monia Elisa Molinari, Kripal Panging, Chandra Kant Pawe, Ana Pérez-Hoyos, Parag Kumar Sahariah, Dhrubajyoti Sahariah, Anup Saikia, Meghna Saikia, Peter Schlesinger, Elena Seidacaru, Kuleswar Singha, John W Wilson

ABSTRACT

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. More... »

PAGES

170136

References to SciGraph publications

Journal

TITLE

Scientific Data

ISSUE

1

VOLUME

4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sdata.2017.136

DOI

http://dx.doi.org/10.1038/sdata.2017.136

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091919826

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28949323


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