Next Article in Journal
Application of Soft Computing Models with Input Vectors of Snow Cover Area in Addition to Hydro-Climatic Data to Predict the Sediment Loads
Next Article in Special Issue
Optimized Pumping Strategy for Reducing the Spatial Extent of Saltwater Intrusion along the Coast of Wadi Ham, UAE
Previous Article in Journal
Can the Stream Quantification Tool (SQT) Protocol Predict the Biotic Condition of Streams in the Southeast Piedmont (USA)?
Previous Article in Special Issue
Low-Cost, Open Source Wireless Sensor Network for Real-Time, Scalable Groundwater Monitoring
Open AccessArticle

Sentinel-2 Application to the Surface Characterization of Small Water Bodies in Wetlands

Research Institute for Integrated Management of Coastal Areas, Universitat Politècnica de València, C/Paraninfo, 1, 46730 Grau de Gandia, Spain
Geo-Environmental Cartography and Remote Sensing Group, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain
Facultad de Ciencias Marinas, Universidad Autónoma de Baja California, Ensenada 22860, Mexico
Author to whom correspondence should be addressed.
Water 2020, 12(5), 1487;
Received: 19 April 2020 / Revised: 15 May 2020 / Accepted: 17 May 2020 / Published: 22 May 2020
(This article belongs to the Special Issue Advances in Groundwater and Surface Water Monitoring and Management)
Developing indicators to monitor environmental change in wetlands with the aid of Earth Observation Systems can help to obtain spatial data that is not feasible with in situ measures (e.g., flooding patterns). In this study, we aim to test Sentinel-2A/B images suitability for detecting small water bodies in wetlands characterized by high diversity of temporal and spatial flooding patterns using previously published indices. For this purpose, we used medium spatial resolution Sentinel-2A/B images of four representative coastal wetlands in the Valencia Region (East Spain, Mediterranean Sea), and on three different dates. To validate the results, 60 points (30 in water areas and 30 in land areas) were distributed randomly within a 20 m buffer around the border of each digitized water polygon for each date and wetland (600 in total). These polygons were mapped using as a base map orthophotos of high spatial resolution. In our study, the best performing index was the NDWI. Overall accuracy and Kappa index results were optimal for −0.30 threshold in all the studied wetlands and dates. The consistency in the results is key to provide a methodology to characterize water bodies in wetlands as generalizable as possible. Most studies developed in wetlands have focused on calculating global gain or loss of wetland area. However, inside of wetlands which hold protection figures, the main threat is not necessarily land use change, but rather water management strategies. Applying Sentinel-2A/B images to calculate the NDWI index and monitor flooded area changes will be key to analyse the consequence of these management actions. View Full-Text
Keywords: remote sensing; wetlands; NDWI; Kappa index; overall accuracy remote sensing; wetlands; NDWI; Kappa index; overall accuracy
Show Figures

Figure 1

MDPI and ACS Style

Pena-Regueiro, J.; Sebastiá-Frasquet, M.-T.; Estornell, J.; Aguilar-Maldonado, J.A. Sentinel-2 Application to the Surface Characterization of Small Water Bodies in Wetlands. Water 2020, 12, 1487.

AMA Style

Pena-Regueiro J, Sebastiá-Frasquet M-T, Estornell J, Aguilar-Maldonado JA. Sentinel-2 Application to the Surface Characterization of Small Water Bodies in Wetlands. Water. 2020; 12(5):1487.

Chicago/Turabian Style

Pena-Regueiro, Jesús; Sebastiá-Frasquet, Maria-Teresa; Estornell, Javier; Aguilar-Maldonado, Jesús A. 2020. "Sentinel-2 Application to the Surface Characterization of Small Water Bodies in Wetlands" Water 12, no. 5: 1487.

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

Search more from Scilit
Back to TopTop