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Dataset on georeferenced and tagged photographs for ecosystem services assessment, Ebro Delta, N-E Spain

A georeferenced and tagged dataset of photographs is presented. Over 2000 photographs from the Ebro Delta Natural Park, N-E Spain, have been treated. Raw data come from Wikiloc, a Volunteered Geographic Information source, and have been cleansed and systematized. The photographs have been classified...

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Autores principales: Serrano Giné, David, Pérez Albert, María Yolanda, Àvila Callau, Aitor, Jurado Rota, Joan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005443/
https://www.ncbi.nlm.nih.gov/pubmed/32055663
http://dx.doi.org/10.1016/j.dib.2020.105178
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author Serrano Giné, David
Pérez Albert, María Yolanda
Àvila Callau, Aitor
Jurado Rota, Joan
author_facet Serrano Giné, David
Pérez Albert, María Yolanda
Àvila Callau, Aitor
Jurado Rota, Joan
author_sort Serrano Giné, David
collection PubMed
description A georeferenced and tagged dataset of photographs is presented. Over 2000 photographs from the Ebro Delta Natural Park, N-E Spain, have been treated. Raw data come from Wikiloc, a Volunteered Geographic Information source, and have been cleansed and systematized. The photographs have been classified according to their image content. An automatic first analysis was performed using 8-bit software. For uncertain tags, a second supervised analysis was performed. Classification into eight types and thirty-seven subtypes was conducted by considering landscape and social reactions. Data have been treated with the ArcGis 10.2. Geographic Information System. This dataset is useful for understanding ecosystem services by means of users' photographs.
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spelling pubmed-70054432020-02-13 Dataset on georeferenced and tagged photographs for ecosystem services assessment, Ebro Delta, N-E Spain Serrano Giné, David Pérez Albert, María Yolanda Àvila Callau, Aitor Jurado Rota, Joan Data Brief Environmental Science A georeferenced and tagged dataset of photographs is presented. Over 2000 photographs from the Ebro Delta Natural Park, N-E Spain, have been treated. Raw data come from Wikiloc, a Volunteered Geographic Information source, and have been cleansed and systematized. The photographs have been classified according to their image content. An automatic first analysis was performed using 8-bit software. For uncertain tags, a second supervised analysis was performed. Classification into eight types and thirty-seven subtypes was conducted by considering landscape and social reactions. Data have been treated with the ArcGis 10.2. Geographic Information System. This dataset is useful for understanding ecosystem services by means of users' photographs. Elsevier 2020-01-25 /pmc/articles/PMC7005443/ /pubmed/32055663 http://dx.doi.org/10.1016/j.dib.2020.105178 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Environmental Science
Serrano Giné, David
Pérez Albert, María Yolanda
Àvila Callau, Aitor
Jurado Rota, Joan
Dataset on georeferenced and tagged photographs for ecosystem services assessment, Ebro Delta, N-E Spain
title Dataset on georeferenced and tagged photographs for ecosystem services assessment, Ebro Delta, N-E Spain
title_full Dataset on georeferenced and tagged photographs for ecosystem services assessment, Ebro Delta, N-E Spain
title_fullStr Dataset on georeferenced and tagged photographs for ecosystem services assessment, Ebro Delta, N-E Spain
title_full_unstemmed Dataset on georeferenced and tagged photographs for ecosystem services assessment, Ebro Delta, N-E Spain
title_short Dataset on georeferenced and tagged photographs for ecosystem services assessment, Ebro Delta, N-E Spain
title_sort dataset on georeferenced and tagged photographs for ecosystem services assessment, ebro delta, n-e spain
topic Environmental Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005443/
https://www.ncbi.nlm.nih.gov/pubmed/32055663
http://dx.doi.org/10.1016/j.dib.2020.105178
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