Daily Monitoring of Shallow and Fine-Grained Water Patterns in Wet Grasslands Combining Aerial LiDAR Data and In Situ Piezometric Measurements

Sébastien Rapinel, Nicolas Rossignol, Oliver Gore, Olivier Jambon, Guillaume Bouger, Jérome Mansons and Anne Bonis
Additional contact information
Sébastien Rapinel: CNRS UMR 6553 ECOBIO, Univ. Rennes, Avenue Général Leclerc, 35000 Rennes, France
Nicolas Rossignol: CNRS UMR 6553 ECOBIO, Univ. Rennes, Avenue Général Leclerc, 35000 Rennes, France
Oliver Gore: CNRS UMR 6553 ECOBIO, Univ. Rennes, Avenue Général Leclerc, 35000 Rennes, France
Olivier Jambon: CNRS UMR 6553 ECOBIO, Univ. Rennes, Avenue Général Leclerc, 35000 Rennes, France
Guillaume Bouger: Observatoire des Sciences de l’Univers de Rennes, Univ. Rennes, Avenue Général Leclerc, 35000 Rennes, France
Jérome Mansons: Établissement Public du Marais Poitevin, 1 rue Richelieu, 85400 Luçon, France
Anne Bonis: Observatoire des Sciences de l’Univers de Rennes, Univ. Rennes, Avenue Général Leclerc, 35000 Rennes, France

Sustainability, 2018, vol. 10, issue 3, 1-16

Abstract: The real-time monitoring of hydrodynamics in wetlands at fine spatial and temporal scales is crucial for understanding ecological and hydrological processes. The key interest of light detection and ranging (LiDAR) data is its ability to accurately detect microtopography. However, how such data may account for subtle wetland flooding changes in both space and time still needs to be tested, even though the degree to which these changes impact biodiversity patterns is of upmost importance. This study assesses the use of 1 m × 1 m resolution aerial LiDAR data in combination with in situ piezometric measurements in order to predict the flooded areas at a daily scale along a one-year hydrological period. The simulation was applied over 663 ha of wet grasslands distributed on six sites across the Marais Poitevin (France). A set of seven remote sensing images was used as the reference data in order to validate the simulation and provide a high overall accuracy (76–94%). The best results were observed in areas where the ditch density was low, whereas the highly drained sites showed a discrepancy with the predicted flooded areas. The landscape proportion index was calculated for the daily steps. The results highlighted the spatiotemporal dynamics of the shallow flooded areas. We showed that the differences in the flooding durations among the years were mainly related to a narrow contrast in topography (40 cm), and occurred over a short period of time (two months).

Keywords: GIS; hydrology; hydrodynamics; wetlands; flooded pattern (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/10/3/708/pdf (application/pdf)
https://www.mdpi.com/2071-1050/10/3/708/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:3:p:708-:d:134839

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().