4.3 Article

Hydrologic Dynamics of the Ground-Water-Dependent Sian Ka'an Wetlands, Mexico, Derived from InSAR and SAR Data

Journal

WETLANDS
Volume 30, Issue 1, Pages 1-13

Publisher

SPRINGER
DOI: 10.1007/s13157-009-0016-z

Keywords

Hydrology; Remote sensing; Surface water; Synthetic aperture radar interferometry; Yucatan Peninsula

Funding

  1. WWF Verdensnaturfonden/Aase & Ejnar Danielsens Fond
  2. Otto Monsted's foundation
  3. COWIfoundation
  4. NASA [NNX08BA43A]
  5. NASA [90580, NNX08BA43A] Funding Source: Federal RePORTER

Ask authors/readers for more resources

The 5,280 km(2) Sian Ka'an Biosphere Reserve includes pristine wetlands fed by ground water from the karst aquifer of the Yucatan Peninsula, Mexico. The inflow through underground karst structures is hard to observe making it difficult to understand, quantify, and predict the wetland dynamics. Remotely sensed Synthetic Aperture Radar (SAR) amplitude and phase observations offer new opportunities to obtain information on hydrologic dynamics useful for wetland management. Backscatter amplitude of SAR data can be used to map flooding extent. Interferometric processing of the backscattered SAR phase data (InSAR) produces temporal phase-changes that can be related to relative water level changes in vegetated wetlands. We used 56 RADARSAT-1 SAR acquisitions to calculate 38 interferograms and 13 flooding maps with 24 day and 48 day time intervals covering July 2006 to March 2008. Flooding extent varied between 1,067 km2 and 2,588 km(2) during the study period, and main water input was seen to take place in sloughs during October December. We propose that main water input areas are associated with water-filled faults that transport ground water from the catchment to the wetlands. InSAR and Landsat data revealed local-scale water divides and surface water flow directions within the wetlands.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available