Next Article in Journal
Soil Moisture Monitoring in a Temperate Peatland Using Multi-Sensor Remote Sensing and Linear Mixed Effects
Previous Article in Journal
Land Cover Change Detection Based on Adaptive Contextual Information Using Bi-Temporal Remote Sensing Images
Article

Automatic Measurement of Water Height in the As Conchas (Spain) Reservoir Using Sentinel 2 and Aerial LiDAR Data

1
Department of Natural Resources and Environmental Engineering, University of Vigo, As Lagoas s/n, 36310 Vigo, Spain
2
Galician Aerospace Centre (CINAE), Porto do Molle, 36350 Nigrán, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(6), 902; https://doi.org/10.3390/rs10060902
Received: 4 May 2018 / Revised: 1 June 2018 / Accepted: 5 June 2018 / Published: 8 June 2018
(This article belongs to the Section Remote Sensing in Geology, Geomorphology and Hydrology)
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. View Full-Text
Keywords: remote sensing; earth observation; sentinel satellites; climate change; drought; water reservoir remote sensing; earth observation; sentinel satellites; climate change; drought; water reservoir
Show Figures

Graphical abstract

MDPI and ACS Style

González-Jorge, H.; González-deSantos, L.M.; Martínez-Sánchez, J.; Sánchez-Rodríguez, A.; Lorenzo, H. Automatic Measurement of Water Height in the As Conchas (Spain) Reservoir Using Sentinel 2 and Aerial LiDAR Data. Remote Sens. 2018, 10, 902. https://doi.org/10.3390/rs10060902

AMA Style

González-Jorge H, González-deSantos LM, Martínez-Sánchez J, Sánchez-Rodríguez A, Lorenzo H. Automatic Measurement of Water Height in the As Conchas (Spain) Reservoir Using Sentinel 2 and Aerial LiDAR Data. Remote Sensing. 2018; 10(6):902. https://doi.org/10.3390/rs10060902

Chicago/Turabian Style

González-Jorge, Higinio, Luis M. González-deSantos, Joaquin Martínez-Sánchez, Ana Sánchez-Rodríguez, and Henrique Lorenzo. 2018. "Automatic Measurement of Water Height in the As Conchas (Spain) Reservoir Using Sentinel 2 and Aerial LiDAR Data" Remote Sensing 10, no. 6: 902. https://doi.org/10.3390/rs10060902

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop