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Image dataset acquired from an unmanned aerial vehicle over an experimental site within El Soldado estuary in Guaymas, Sonora, México

It is well known that remote sensing is a series of procedures which detects physical characteristics of the earth surface by remotely-measuring its reflected and emitted radiation using cameras or sensors. Lately, the increasing use of unmanned aerial vehicles (UAVs) as remote sensing platforms and...

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Autores principales: Encinas-Lara, M. Sebastián, Méndez-Barroso, Luis A., Yépez, Enrico A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136584/
https://www.ncbi.nlm.nih.gov/pubmed/32280736
http://dx.doi.org/10.1016/j.dib.2020.105425
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author Encinas-Lara, M. Sebastián
Méndez-Barroso, Luis A.
Yépez, Enrico A.
author_facet Encinas-Lara, M. Sebastián
Méndez-Barroso, Luis A.
Yépez, Enrico A.
author_sort Encinas-Lara, M. Sebastián
collection PubMed
description It is well known that remote sensing is a series of procedures which detects physical characteristics of the earth surface by remotely-measuring its reflected and emitted radiation using cameras or sensors. Lately, the increasing use of unmanned aerial vehicles (UAVs) as remote sensing platforms and the development of small-size sensors have resulted in the expansion of continuous monitoring of earth surface at smaller spatial scales. For this reason, the integration of UAV- and consumer-grade cameras can be useful to acquire surface characteristics at plot or footprint scale. This dataset contains 314 aerial images covering an area of aproximately 18,800 m(2) within the footprint of an Eddy covariance and meterorological station. The monitoring site was deployed at “El Soldado” estuary (27°57′14.4″ N and 110°58′19.2″ W) located in the southern coast of the Mexican State of Sonora. UAV flight path was programmed to flight in autonomous mode with an altitude of 30 m, a velocity of 5 m/s and a frontal and side overlap of 85 and 75% respectively. This dataset was created to support mapping surveys for surface classification and site description. This dataset is aimed to support researchers, stakeholders and general public interested in coastal areas, natural resources management and ecosystem conservation. Finally, this dataset could be also used for those interested in digital photogrammetry and 3D reconstruction as benchmark example to develop high resolution orthomosaics.
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spelling pubmed-71365842020-04-10 Image dataset acquired from an unmanned aerial vehicle over an experimental site within El Soldado estuary in Guaymas, Sonora, México Encinas-Lara, M. Sebastián Méndez-Barroso, Luis A. Yépez, Enrico A. Data Brief Agricultural and Biological Science It is well known that remote sensing is a series of procedures which detects physical characteristics of the earth surface by remotely-measuring its reflected and emitted radiation using cameras or sensors. Lately, the increasing use of unmanned aerial vehicles (UAVs) as remote sensing platforms and the development of small-size sensors have resulted in the expansion of continuous monitoring of earth surface at smaller spatial scales. For this reason, the integration of UAV- and consumer-grade cameras can be useful to acquire surface characteristics at plot or footprint scale. This dataset contains 314 aerial images covering an area of aproximately 18,800 m(2) within the footprint of an Eddy covariance and meterorological station. The monitoring site was deployed at “El Soldado” estuary (27°57′14.4″ N and 110°58′19.2″ W) located in the southern coast of the Mexican State of Sonora. UAV flight path was programmed to flight in autonomous mode with an altitude of 30 m, a velocity of 5 m/s and a frontal and side overlap of 85 and 75% respectively. This dataset was created to support mapping surveys for surface classification and site description. This dataset is aimed to support researchers, stakeholders and general public interested in coastal areas, natural resources management and ecosystem conservation. Finally, this dataset could be also used for those interested in digital photogrammetry and 3D reconstruction as benchmark example to develop high resolution orthomosaics. Elsevier 2020-03-14 /pmc/articles/PMC7136584/ /pubmed/32280736 http://dx.doi.org/10.1016/j.dib.2020.105425 Text en © 2020 The Authors 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 Agricultural and Biological Science
Encinas-Lara, M. Sebastián
Méndez-Barroso, Luis A.
Yépez, Enrico A.
Image dataset acquired from an unmanned aerial vehicle over an experimental site within El Soldado estuary in Guaymas, Sonora, México
title Image dataset acquired from an unmanned aerial vehicle over an experimental site within El Soldado estuary in Guaymas, Sonora, México
title_full Image dataset acquired from an unmanned aerial vehicle over an experimental site within El Soldado estuary in Guaymas, Sonora, México
title_fullStr Image dataset acquired from an unmanned aerial vehicle over an experimental site within El Soldado estuary in Guaymas, Sonora, México
title_full_unstemmed Image dataset acquired from an unmanned aerial vehicle over an experimental site within El Soldado estuary in Guaymas, Sonora, México
title_short Image dataset acquired from an unmanned aerial vehicle over an experimental site within El Soldado estuary in Guaymas, Sonora, México
title_sort image dataset acquired from an unmanned aerial vehicle over an experimental site within el soldado estuary in guaymas, sonora, méxico
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136584/
https://www.ncbi.nlm.nih.gov/pubmed/32280736
http://dx.doi.org/10.1016/j.dib.2020.105425
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