Next Article in Journal
Estimation of Continuous Urban Sky View Factor from Landsat Data Using Shadow Detection
Next Article in Special Issue
Analysis and Mapping of the Spectral Characteristics of Fractional Green Cover in Saline Wetlands (NE Spain) Using Field and Remote Sensing Data
Previous Article in Journal
Exploring the Relationship between Burn Severity Field Data and Very High Resolution GeoEye Images: The Case of the 2011 Evros Wildfire in Greece
Previous Article in Special Issue
Mapping Dynamics of Inundation Patterns of Two Largest River-Connected Lakes in China: A Comparative Study
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2016, 8(7), 570; doi:10.3390/rs8070570

Mapping and Characterization of Hydrological Dynamics in a Coastal Marsh Using High Temporal Resolution Sentinel-1A Images

1
Université Paris-Est, IGN, LaSTIG//MATIS, 6-8 av. B. Pascal, Cité Descartes, Champs sur Marne, 77455 Marne la Vallée Cedex 2, France
2
GISWAY, 55 Rue La Boétie, Paris 75008, France
3
CNRS UMR 6553 ECOBIO, Université de Rennes 1, Campus de Beaulieu, Rennes Cedex 35042, France
4
CNRS UMR 6285 Lab-STICC, TELECOM Bretagne, Technopole Brest-Iroise, Brest Cedex 29238, France
5
IGN, Université Paris-Est Marne-la-Vallée, LaSTIG/MATIS, 73 avenue de Paris, 94160 Saint-Mandé, France
6
CNRS UMR 6554 LETG Rennes, Université Haute Bretagne, Place Henri Le Moal, Rennes Cedex 35043, France;
*
Author to whom correspondence should be addressed.
Academic Editors: Magaly Koch and Prasad S. Thenkabail
Received: 29 February 2016 / Revised: 20 May 2016 / Accepted: 24 June 2016 / Published: 5 July 2016
(This article belongs to the Special Issue What can Remote Sensing Do for the Conservation of Wetlands?)
View Full-Text   |   Download PDF [5678 KB, uploaded 14 July 2016]   |  

Abstract

In Europe, water levels in wetlands are widely controlled by environmental managers and farmers. However, the influence of these management practices on hydrodynamics and biodiversity remains poorly understood. This study assesses advantages of using radar data from the recently launched Sentinel-1A satellite to monitor hydrological dynamics of the Poitevin marshland in western France. We analyze a time series of 14 radar images acquired in VV and HV polarizations from December 2014 to May 2015 with a 12-day time step. Both polarizations are used with a hysteresis thresholding algorithm which uses both spatial and temporal information to distinguish open water, flooded vegetation and non-flooded grassland. Classification results are compared to in situ piezometric measurements combined with a Digital Terrain Model derived from LiDAR data. Results reveal that open water is successfully detected, whereas flooded grasslands with emergent vegetation and fine-grained patterns are detected with moderate accuracy. Five hydrological regimes are derived from the flood duration and mapped. Analysis of time steps in the time series shows that decreased temporal repetitivity induces significant differences in estimates of flood duration. These results illustrate the great potential to monitor variations in seasonal floods with the high temporal frequency of Sentinel-1A acquisitions. View Full-Text
Keywords: radar; SAR; Sentinel-1; remote sensing; hysteresis; time series; flood; wetland; marshes; water management radar; SAR; Sentinel-1; remote sensing; hysteresis; time series; flood; wetland; marshes; water management
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Cazals, C.; Rapinel, S.; Frison, P.-L.; Bonis, A.; Mercier, G.; Mallet, C.; Corgne, S.; Rudant, J.-P. Mapping and Characterization of Hydrological Dynamics in a Coastal Marsh Using High Temporal Resolution Sentinel-1A Images. Remote Sens. 2016, 8, 570.

Show more citation formats Show less citations formats

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

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top