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U.S. Department of the Interior
U.S. Geological Survey
OFR 2007-1034

Initial Everglades Depth Estimation Network (EDEN) digital elevation model research and development

By John W. Jones and Susan D. Price


> Introduction
Conversion Factors
Model Input
Model Development
File Naming
Future Plans & Acknowledgements
References Cited
Figures and Tables
The Everglades Depth Estimation Network (EDEN) offers a consistent and documented dataset that can be used to guide large-scale field operations, to integrate hydrologic and ecological responses, and to support biological and ecological assessments that measure ecosystem responses to the Comprehensive Everglades Restoration Plan (Telis, 2006). To produce historic and near-real time maps of water depths, the EDEN requires a system-wide digital elevation model (DEM) of the ground surface. Accurate Everglades wetland ground surface elevation data were non-existent before the U.S. Geological Survey (USGS) undertook the collection of highly accurate surface elevations at the regional scale. These form the foundation for EDEN DEM development. This development process is iterative as additional high accuracy elevation data (HAED) are collected, water surfacing algorithms improve, and additional ground-based ancillary data become available. Models are tested using withheld HAED and independently measured water depth data, and by using DEM data in EDEN adaptive management applications. Here the collection of HAED is briefly described before the approach to DEM development and the current EDEN DEM are detailed. Finally future research directions for continued model development, testing, and refinement are provided.

Conversion Factors >

U.S. Department of the Interior
Dirk Kempthorne, Secretary

U.S. Geological Survey
Mark Myers, Director

U.S. Geological Survey, Reston, Virginia 2007
Revised and reprinted: 2007

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Suggested citation:
Jones, John. W. and Price, Susan D., 2007, Everglades Depth Estimation Network (EDEN) digital elevation model research and development: U.S. Geological Survey Open-File Report 2007-1034, 29 pgs.

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