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Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union
Accurately characterizing land surface changes with Earth Observation requires geo-located ground truth. In the European Union (EU), a tri-annual surveyed sample of land cover and land use has been collected since 2006 under the Land Use/Cover Area frame Survey (LUCAS). A total of 1351293 observatio...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567823/ https://www.ncbi.nlm.nih.gov/pubmed/33067440 http://dx.doi.org/10.1038/s41597-020-00675-z |
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author | d’Andrimont, Raphaël Yordanov, Momchil Martinez-Sanchez, Laura Eiselt, Beatrice Palmieri, Alessandra Dominici, Paolo Gallego, Javier Reuter, Hannes Isaak Joebges, Christian Lemoine, Guido van der Velde, Marijn |
author_facet | d’Andrimont, Raphaël Yordanov, Momchil Martinez-Sanchez, Laura Eiselt, Beatrice Palmieri, Alessandra Dominici, Paolo Gallego, Javier Reuter, Hannes Isaak Joebges, Christian Lemoine, Guido van der Velde, Marijn |
author_sort | d’Andrimont, Raphaël |
collection | PubMed |
description | Accurately characterizing land surface changes with Earth Observation requires geo-located ground truth. In the European Union (EU), a tri-annual surveyed sample of land cover and land use has been collected since 2006 under the Land Use/Cover Area frame Survey (LUCAS). A total of 1351293 observations at 651780 unique locations for 106 variables along with 5.4 million photos were collected during five LUCAS surveys. Until now, these data have never been harmonised into one database, limiting full exploitation of the information. This paper describes the LUCAS point sampling/surveying methodology, including collection of standard variables such as land cover, environmental parameters, and full resolution landscape and point photos, and then describes the harmonisation process. The resulting harmonised database is the most comprehensive in-situ dataset on land cover and use in the EU. The database is valuable for geo-spatial and statistical analysis of land use and land cover change. Furthermore, its potential to provide multi-temporal in-situ data will be enhanced by recent computational advances such as deep learning. |
format | Online Article Text |
id | pubmed-7567823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75678232020-10-19 Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union d’Andrimont, Raphaël Yordanov, Momchil Martinez-Sanchez, Laura Eiselt, Beatrice Palmieri, Alessandra Dominici, Paolo Gallego, Javier Reuter, Hannes Isaak Joebges, Christian Lemoine, Guido van der Velde, Marijn Sci Data Data Descriptor Accurately characterizing land surface changes with Earth Observation requires geo-located ground truth. In the European Union (EU), a tri-annual surveyed sample of land cover and land use has been collected since 2006 under the Land Use/Cover Area frame Survey (LUCAS). A total of 1351293 observations at 651780 unique locations for 106 variables along with 5.4 million photos were collected during five LUCAS surveys. Until now, these data have never been harmonised into one database, limiting full exploitation of the information. This paper describes the LUCAS point sampling/surveying methodology, including collection of standard variables such as land cover, environmental parameters, and full resolution landscape and point photos, and then describes the harmonisation process. The resulting harmonised database is the most comprehensive in-situ dataset on land cover and use in the EU. The database is valuable for geo-spatial and statistical analysis of land use and land cover change. Furthermore, its potential to provide multi-temporal in-situ data will be enhanced by recent computational advances such as deep learning. Nature Publishing Group UK 2020-10-16 /pmc/articles/PMC7567823/ /pubmed/33067440 http://dx.doi.org/10.1038/s41597-020-00675-z Text en © The Author(s) 2020 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 associated with this article. |
spellingShingle | Data Descriptor d’Andrimont, Raphaël Yordanov, Momchil Martinez-Sanchez, Laura Eiselt, Beatrice Palmieri, Alessandra Dominici, Paolo Gallego, Javier Reuter, Hannes Isaak Joebges, Christian Lemoine, Guido van der Velde, Marijn Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union |
title | Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union |
title_full | Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union |
title_fullStr | Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union |
title_full_unstemmed | Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union |
title_short | Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union |
title_sort | harmonised lucas in-situ land cover and use database for field surveys from 2006 to 2018 in the european union |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567823/ https://www.ncbi.nlm.nih.gov/pubmed/33067440 http://dx.doi.org/10.1038/s41597-020-00675-z |
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