Next Article in Journal
Improvement of Soil Moisture Retrieval from Hyperspectral VNIR-SWIR Data Using Clay Content Information: From Laboratory to Field Experiments
Next Article in Special Issue
Hydrodynamic and Inundation Modeling of China’s Largest Freshwater Lake Aided by Remote Sensing Data
Previous Article in Journal
Unique Sequence of Events Triggers Manta Ray Feeding Frenzy in the Southern Great Barrier Reef, Australia
Previous Article in Special Issue
The Strengths and Limitations in Using the Daily MODIS Open Water Likelihood Algorithm for Identifying Flood Events
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2015, 7(3), 3153-3183; doi:10.3390/rs70303153

Toward Estimating Wetland Water Level Changes Based on Hydrological Sensitivity Analysis of PALSAR Backscattering Coefficients over Different Vegetation Fields

1
Department of Civil and Environmental Engineering, University of Houston, N107 Engineering Building 1, Houston, TX 77204, USA
2
National Center for Airborne Laser Mapping, University of Houston, 5000 Gulf Freeway Building 4 Room 216, Houston, TX 77204, USA
3
Office of Applied Sciences, NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA
4
Science Systems and Applications, Inc. (SSAI), 10210 Greenbelt Road, Lanham, MD 20706, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Guy J.-P. Schumann and Prasad S. Thenkabail
Received: 13 January 2015 / Revised: 2 March 2015 / Accepted: 9 March 2015 / Published: 19 March 2015
(This article belongs to the Special Issue Remote Sensing in Flood Monitoring and Management)

Abstract

Synthetic Aperture Radar (SAR) has been successfully used to map wetland’s inundation extents and types of vegetation based on the fact that the SAR backscatter signal from the wetland is mainly controlled by the wetland vegetation type and water level changes. This study describes the relation between L-band PALSAR and seasonal water level changes obtained from Envisat altimetry over the island of Île Mbamou in the Congo Basin where two distinctly different vegetation types are found. We found positive correlations between and water level changes over the forested southern Île Mbamou whereas both positive and negative correlations were observed over the non-forested northern Île Mbamou depending on the amount of water level increase. Based on the analysis of sensitivity, we found that denser vegetation canopy leads to less sensitive variation with respect to the water level changes regardless of forested or non-forested canopy. Furthermore, we attempted to estimate water level changes which were then compared with the Envisat altimetry and InSAR results. Our results demonstrated a potential to generate two-dimensional maps of water level changes over the wetlands, and thus may have substantial synergy with the planned Surface Water and Ocean Topography (SWOT) mission. View Full-Text
Keywords: SAR; radar altimetry; water level changes; SWOT SAR; radar altimetry; water level changes; SWOT
Figures

Figure 1

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

Yuan, T.; Lee, H.; Jung, H.C. Toward Estimating Wetland Water Level Changes Based on Hydrological Sensitivity Analysis of PALSAR Backscattering Coefficients over Different Vegetation Fields. Remote Sens. 2015, 7, 3153-3183.

Show more citation formats Show less citations formats

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