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A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform
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 asses...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613736/ https://www.ncbi.nlm.nih.gov/pubmed/28949323 http://dx.doi.org/10.1038/sdata.2017.136 |
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author | 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, Javier Gilliams, Sven Akhtar, Ibrar ul Hassan Baishya, Swarup Jyoti Baruah, Mrinal Bungnamei, Khangsembou Campos, Alfredo 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 Pérez-Hoyos, Ana Sahariah, Parag Kumar Sahariah, Dhrubajyoti Saikia, Anup Saikia, Meghna Schlesinger, Peter Seidacaru, Elena Singha, Kuleswar Wilson, John W |
author_facet | 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, Javier Gilliams, Sven Akhtar, Ibrar ul Hassan Baishya, Swarup Jyoti Baruah, Mrinal Bungnamei, Khangsembou Campos, Alfredo 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 Pérez-Hoyos, Ana Sahariah, Parag Kumar Sahariah, Dhrubajyoti Saikia, Anup Saikia, Meghna Schlesinger, Peter Seidacaru, Elena Singha, Kuleswar Wilson, John W |
author_sort | Laso Bayas, Juan Carlos |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5613736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56137362017-10-03 A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform 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, Javier Gilliams, Sven Akhtar, Ibrar ul Hassan Baishya, Swarup Jyoti Baruah, Mrinal Bungnamei, Khangsembou Campos, Alfredo 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 Pérez-Hoyos, Ana Sahariah, Parag Kumar Sahariah, Dhrubajyoti Saikia, Anup Saikia, Meghna Schlesinger, Peter Seidacaru, Elena Singha, Kuleswar Wilson, John W Sci Data Data Descriptor 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. Nature Publishing Group 2017-09-26 /pmc/articles/PMC5613736/ /pubmed/28949323 http://dx.doi.org/10.1038/sdata.2017.136 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor 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, Javier Gilliams, Sven Akhtar, Ibrar ul Hassan Baishya, Swarup Jyoti Baruah, Mrinal Bungnamei, Khangsembou Campos, Alfredo 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 Pérez-Hoyos, Ana Sahariah, Parag Kumar Sahariah, Dhrubajyoti Saikia, Anup Saikia, Meghna Schlesinger, Peter Seidacaru, Elena Singha, Kuleswar Wilson, John W A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform |
title | A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform |
title_full | A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform |
title_fullStr | A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform |
title_full_unstemmed | A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform |
title_short | A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform |
title_sort | global reference database of crowdsourced cropland data collected using the geo-wiki platform |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613736/ https://www.ncbi.nlm.nih.gov/pubmed/28949323 http://dx.doi.org/10.1038/sdata.2017.136 |
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