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Remote Sens. 2017, 9(6), 510; doi:10.3390/rs9060510

Development of Geospatial and Temporal Characteristics for Hispaniola’s Lake Azuei and Enriquillo Using Landsat Imagery

1
Civil Engineering Department, City College of New York, New York, NY 10031, USA
2
Mechanical Engineering Department, City College of New York, New York, NY 10031, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Magaly Koch and Prasad Thenkabail
Received: 11 February 2017 / Revised: 29 April 2017 / Accepted: 14 May 2017 / Published: 24 May 2017

Abstract

In this paper, we used Landsat imagery for water body identification to create a novel 36-year surface area extent time series for lakes Azuei (Haiti) and Enriquillo (Dominican Republic) aimed at illuminating the dramatic temporal changes of these two lakes not just at yearly but at monthly or even sub-monthly scales. We used the Normalized Difference Water Index (NDWI) to extract water features and we also used spatial differentiation and thresholding techniques to remove clouds and associated shadows from the scene that were then passed through gap filling algorithms to complete and extract the lake extent polygons. We also explored the challenges that arrive from trying to combine RS-based Digital Elevation Model data with locally collected bathymetric data to yield a seamless representation of the topographic features of the rift valley that contains the two lakes. This “bathtub” model was then meshed with the lake extent polygons to compute lake volumes, maximum depths, and geospatially referenced lake levels rating curves. We used this data to examine the lakes and their geospatial characteristics in the context of the lakes’ growth/shrinking patterns. While we did not carry out a full hydrologic analysis we attempted to illuminate how specific lake levels cause what type of flooding and especially answered the questions if (a) Lake Azuei would ever spill into Lake Enriquillo, and (b) what the maximum lake levels need to be before spilling into neighboring watersheds. View Full-Text
Keywords: remote sensing; lake; water dynamics; NDWI; cloud detection; shadow removal; gap filling; bathymetry; rating curve remote sensing; lake; water dynamics; NDWI; cloud detection; shadow removal; gap filling; bathymetry; rating curve
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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).

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MDPI and ACS Style

Moknatian, M.; Piasecki, M.; Gonzalez, J. Development of Geospatial and Temporal Characteristics for Hispaniola’s Lake Azuei and Enriquillo Using Landsat Imagery. Remote Sens. 2017, 9, 510.

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