Bathymetry Time Series Using High Spatial Resolution Satellite Images
The use of the new generation of remote sensors, such as echo sounders and Global Navigation Satellite System (GNSS) receivers with differential correction installed in a drone, allows the acquisition of high-precision data in areas of shallow water, as in the case of the channel of the Encañizadas...
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doaj-24cb151f82214f83ad1c6fc8f2c135f22020-11-24T21:47:15ZengMDPI AGWater2073-44412020-02-0112253110.3390/w12020531w12020531Bathymetry Time Series Using High Spatial Resolution Satellite ImagesManuel Erena0José A. Domínguez1Joaquín F. Atenza2Sandra García-Galiano3Juan Soria4Ángel Pérez-Ruzafa5GIS and Remote Sensing, Murcia Institute of Agri-Food Research and Development, C/Mayor s/n, La Alberca, 30150 Murcia, SpainGIS and Remote Sensing, Murcia Institute of Agri-Food Research and Development, C/Mayor s/n, La Alberca, 30150 Murcia, SpainGIS and Remote Sensing, Murcia Institute of Agri-Food Research and Development, C/Mayor s/n, La Alberca, 30150 Murcia, SpainDepartment of Mining and Civil Engineering, Universidad Politécnica de Cartagena, 30203 Cartagena SpainInstituto Cavanilles de Biodiversidad y Biología Evolutiva, Universidad de Valencia, 46980 Paterna, SpainDepartment of Ecology and Hydrology, University of Murcia, 30100 Murcia, SpainThe use of the new generation of remote sensors, such as echo sounders and Global Navigation Satellite System (GNSS) receivers with differential correction installed in a drone, allows the acquisition of high-precision data in areas of shallow water, as in the case of the channel of the Encañizadas in the Mar Menor lagoon. This high precision information is the first step to develop the methodology to monitor the bathymetry of the Mar Menor channels. The use of high spatial resolution satellite images is the solution for monitoring many hydrological changes and it is the basis of the three-dimensional (3D) numerical models used to study transport over time, environmental variability, and water ecosystem complexity.https://www.mdpi.com/2073-4441/12/2/531mar menorspatio-temporal variabilitypleiades-1 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Manuel Erena José A. Domínguez Joaquín F. Atenza Sandra García-Galiano Juan Soria Ángel Pérez-Ruzafa |
spellingShingle |
Manuel Erena José A. Domínguez Joaquín F. Atenza Sandra García-Galiano Juan Soria Ángel Pérez-Ruzafa Bathymetry Time Series Using High Spatial Resolution Satellite Images Water mar menor spatio-temporal variability pleiades-1 |
author_facet |
Manuel Erena José A. Domínguez Joaquín F. Atenza Sandra García-Galiano Juan Soria Ángel Pérez-Ruzafa |
author_sort |
Manuel Erena |
title |
Bathymetry Time Series Using High Spatial Resolution Satellite Images |
title_short |
Bathymetry Time Series Using High Spatial Resolution Satellite Images |
title_full |
Bathymetry Time Series Using High Spatial Resolution Satellite Images |
title_fullStr |
Bathymetry Time Series Using High Spatial Resolution Satellite Images |
title_full_unstemmed |
Bathymetry Time Series Using High Spatial Resolution Satellite Images |
title_sort |
bathymetry time series using high spatial resolution satellite images |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2020-02-01 |
description |
The use of the new generation of remote sensors, such as echo sounders and Global Navigation Satellite System (GNSS) receivers with differential correction installed in a drone, allows the acquisition of high-precision data in areas of shallow water, as in the case of the channel of the Encañizadas in the Mar Menor lagoon. This high precision information is the first step to develop the methodology to monitor the bathymetry of the Mar Menor channels. The use of high spatial resolution satellite images is the solution for monitoring many hydrological changes and it is the basis of the three-dimensional (3D) numerical models used to study transport over time, environmental variability, and water ecosystem complexity. |
topic |
mar menor spatio-temporal variability pleiades-1 |
url |
https://www.mdpi.com/2073-4441/12/2/531 |
work_keys_str_mv |
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