Automatic Measurement of Water Height in the As Conchas (Spain) Reservoir Using Sentinel 2 and Aerial LiDAR Data
A methodology for the measurement of height in water reservoirs is developed. It is based on Sentinel 2 imagery and aerial LiDAR data. The methodology is automatized using Matlab software and focused on image processing techniques (equalization, binarization, and edge detection) combined with LiDAR...
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doaj-8d5a5adfa19043dab1c519fdd9e6a2c72020-11-24T21:17:59ZengMDPI AGRemote Sensing2072-42922018-06-0110690210.3390/rs10060902rs10060902Automatic Measurement of Water Height in the As Conchas (Spain) Reservoir Using Sentinel 2 and Aerial LiDAR DataHiginio González-Jorge0Luis Miguel González-deSantos1Joaquin Martínez-Sánchez2Ana Sánchez-Rodríguez3Henrique Lorenzo4Department of Natural Resources and Environmental Engineering, University of Vigo, As Lagoas s/n, 36310 Vigo, SpainDepartment of Natural Resources and Environmental Engineering, University of Vigo, As Lagoas s/n, 36310 Vigo, SpainDepartment of Natural Resources and Environmental Engineering, University of Vigo, As Lagoas s/n, 36310 Vigo, SpainDepartment of Natural Resources and Environmental Engineering, University of Vigo, As Lagoas s/n, 36310 Vigo, SpainDepartment of Natural Resources and Environmental Engineering, University of Vigo, As Lagoas s/n, 36310 Vigo, SpainA methodology for the measurement of height in water reservoirs is developed. It is based on Sentinel 2 imagery and aerial LiDAR data. The methodology is automatized using Matlab software and focused on image processing techniques (equalization, binarization, and edge detection) combined with LiDAR data processing (near neighbour search and height averaging). It is applied in a region of interest selected by the user characterized by a water–land interface. Results are validated in the As Conchas water reservoir (Spain) using an in situ sensing system provided by the Hydrographic Miño-Sil Confederation. The duration of the experiment was one year. The Sentinel 2 bands B2, B3, B4, and B8 were tested during this study. The best results for water height evaluation were obtained for band B8 (842 nm) with an error of 0.20 m and a standard deviation of 0.17 m. The time resolution of the technique depends on the Sentinel 2 revisit time. The time resolution and height accuracy could be improved using complementary satellite systems.http://www.mdpi.com/2072-4292/10/6/902remote sensingearth observationsentinel satellitesclimate changedroughtwater reservoir |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Higinio González-Jorge Luis Miguel González-deSantos Joaquin Martínez-Sánchez Ana Sánchez-Rodríguez Henrique Lorenzo |
spellingShingle |
Higinio González-Jorge Luis Miguel González-deSantos Joaquin Martínez-Sánchez Ana Sánchez-Rodríguez Henrique Lorenzo Automatic Measurement of Water Height in the As Conchas (Spain) Reservoir Using Sentinel 2 and Aerial LiDAR Data Remote Sensing remote sensing earth observation sentinel satellites climate change drought water reservoir |
author_facet |
Higinio González-Jorge Luis Miguel González-deSantos Joaquin Martínez-Sánchez Ana Sánchez-Rodríguez Henrique Lorenzo |
author_sort |
Higinio González-Jorge |
title |
Automatic Measurement of Water Height in the As Conchas (Spain) Reservoir Using Sentinel 2 and Aerial LiDAR Data |
title_short |
Automatic Measurement of Water Height in the As Conchas (Spain) Reservoir Using Sentinel 2 and Aerial LiDAR Data |
title_full |
Automatic Measurement of Water Height in the As Conchas (Spain) Reservoir Using Sentinel 2 and Aerial LiDAR Data |
title_fullStr |
Automatic Measurement of Water Height in the As Conchas (Spain) Reservoir Using Sentinel 2 and Aerial LiDAR Data |
title_full_unstemmed |
Automatic Measurement of Water Height in the As Conchas (Spain) Reservoir Using Sentinel 2 and Aerial LiDAR Data |
title_sort |
automatic measurement of water height in the as conchas (spain) reservoir using sentinel 2 and aerial lidar data |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2018-06-01 |
description |
A methodology for the measurement of height in water reservoirs is developed. It is based on Sentinel 2 imagery and aerial LiDAR data. The methodology is automatized using Matlab software and focused on image processing techniques (equalization, binarization, and edge detection) combined with LiDAR data processing (near neighbour search and height averaging). It is applied in a region of interest selected by the user characterized by a water–land interface. Results are validated in the As Conchas water reservoir (Spain) using an in situ sensing system provided by the Hydrographic Miño-Sil Confederation. The duration of the experiment was one year. The Sentinel 2 bands B2, B3, B4, and B8 were tested during this study. The best results for water height evaluation were obtained for band B8 (842 nm) with an error of 0.20 m and a standard deviation of 0.17 m. The time resolution of the technique depends on the Sentinel 2 revisit time. The time resolution and height accuracy could be improved using complementary satellite systems. |
topic |
remote sensing earth observation sentinel satellites climate change drought water reservoir |
url |
http://www.mdpi.com/2072-4292/10/6/902 |
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