Everglades Depth Estimation Network (EDEN) for Support of Biological and Ecological Assessments
Adams, T.C., 2024, GARDEN - A flow vector tool for EDEN, version 1.0.0: U.S. Geological Survey software release, https://doi.org/10.5066/P138WZSY.
Haider, S.M., McCloskey, B., and Telis, P.A., 2024, Ground-surface elevation, vegetation, and land type within approximately 10 and 400 meters of 176 water-level gaging stations in the Greater Everglades, Florida 2005-10: U.S. Geological Survey data release, https://doi.org/10.5066/P13M7CRD.
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Patino, Eduardo, Conrads, Paul, Swain, Eric, and Beerens, James, 2018, Everglades Depth Estimation Network (EDEN) - A decade of serving hydrologic information to scientists and resource managers (ver. 1.1, January 2018): U.S. Geological Survey Fact Sheet 2017–3069, 6 p., https://doi.org/10.3133/fs20173069.
Petkewich, M.D., Daamen, R.C., Roehl, E.A., and Conrads, P.A., 2016, Using inferential sensors for quality control of Everglades Depth Estimation Network water-level data: U.S. Geological Survey Scientific Investigations Report 2016-5094, 25 p., http://dx.doi.org/10.3133/sir20165094.
Petkewich, M.D., Daamen, R.C., Roehl, E.A., and Conrads, P.A., 2016, User's manual for the Automated Data Assurance and Management application developed for quality control of Everglades Depth Estimation Network waterlevel data: U.S. Geological Survey Open-File Report 2016-1116, 28 p., http://dx.doi.org/10.3133/ofr20161116.
Telis, P.A., Xie, Zhixiao, Liu, Zhongwei, Li, Yingru, and Conrads, P.A., 2015, The Everglades Depth Estimation Network (EDEN) Surface-Water Model, Version 2: U.S. Geological Survey Scientific Investigations Report 2014-5209, 42 p., http://dx.doi.org/10.3133/sir20145209.
Conrads, P.A.; Petkewich, M.D., O'Reilly, A.M., and Telis, P.A., 2014, Hydrologic record extension of water-level data in the Everglades Depth Estimation Network (EDEN), 1991-99: U.S. Geological Survey Scientific Investigations Report 2014-5226, 27 p., http://dx.doi.org/10.3133/sir20145226.
Petkewich, Matthew D., and Conrads, Paul A. 2013, Estimation of Missing Water-Level Data for the Everglades Depth Estimation Network (EDEN), 2013 Update: U.S. Geological Survey Open-File Report 2013-1251, 53 p.https://doi.org/10.3133/ofr20131251.
Conrads, Paul A. and Benedict, Stephen T., 2012, Analysis of changes in water-level dynamics at selected sites in the Florida Everglades: U.S. Geological Survey Scientific Investigations Report 2012-5286, 36 p., https://doi.org/10.3133/sir20125286.
Jones, John W., Desmond, Gregory B., Henkle, Charles, and Glover, Robert, 2012, An approach to regional wetland digital elevation model development using a differential global positioning system and a custom-built helicopter-based surveying system. International Journal of Remote Sensing, Volume 33, Issue 2, p. 450-465., https://doi.org/10.1080/01431161.2010.533212.
Xie, Z., Liu, Z., Jones, J.W., Higer, A.L., and Telis, P.A., 2011, Landscape unit based digital elevation model development for the freshwater wetlands within the Arthur C. Marshall Loxahatchee National Wildlife Refuge, Southeastern Florida: Applied Geography Volume 31, Issue 2, p. 401-412., https://doi.org/10.1016/j.apgeog.2010.10.003.
Daamen, Ruby C., Roehl, Jr., Edwin, and Conrads, Paul A., 2010, Development of Inferential Sensors for Real-time Quality Control of Water-level Data for the Everglades Depth Estimation Network: Proceedings of the 2010 South Carolina Water Resources Conference, held October 13-14, 2010, at the Columbia Metropolitan Convention Center, 4 p., https://tigerprints.clemson.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1179&context=scwrc.
Conrads, Paul A. and Petkewich, Matthew D., 2009, Estimation of Missing Water-Level Data for the Everglades Depth Estimation Network (EDEN): U.S. Geological Survey Open-File Report 2009-1120, 53 p., https://doi.org/10.3133/ofr20091120.
Liu, Z., Volin, J., Owen, D., Pearlstine, L., Allen, J., Mazzotti, F., and Higer, A., 2009, Validation and ecosystem applications of the EDEN water-surface model for the Florida Everglades: Ecohydrology Volume 2, Issue 2, p. 182-194. https://doi.org/10.1002/eco.56.
Telis, P.A., and Henkel, Heather, 2009, Everglades Depth Estimation Network (EDEN) Applications: Tools to View, Extract, Plot, and Manipulate EDEN Data: U.S. Geological Survey Fact Sheet 2009-3052, 4 p., https://doi.org/10.3133/fs20093052.
Palaseanu, M., Pearlstine, L., 2008, Estimation of water surface elevations for the Everglades, Florida, Computers and Geosciences, p. 815-826, http://dx.doi.org/10.1016/j.cageo.2007.08.004.
Volin, J., Liu, Z., Higer, A., Mazzotti, F., Owen, D., Allen, J., and Pearlstine, L., 2008, Validation of a Spatially Continuous EDEN Water-Surface Model for the Everglades, Florida, Department of Natural Resources Management and Engineering, University of Connecticut, 55 p., http://digitalcommons.uconn.edu/nrme_articles/8/.
Conrads, Paul A. and Roehl, Jr., Edwin A., 2007, Hydrologic Record Extension of Water-Level Data in the Everglades Depth Estimation Network (EDEN) using Artificial Neural Network Models, 2000-2006: U.S. Geological Survey Open-File Report 2007-1350, 56 p., https://doi.org/10.3133/ofr20071350.
Jones, John W. and Price, Susan D., 2007, Conceptual design of the Everglades Depth Estimation Network (EDEN) Grid U.S. Geological Survey Open-File Report 2007-1200, 20 p., https://pubs.usgs.gov/of/2007/1200/ofr20071200.pdf.
Jones, John W. and Price, Susan D., 2007, Initial Everglades Depth Estimation Network (EDEN) digital elevation model research and development: U.S. Geological Survey Open-File Report 2007-1034, 29 p., https://pubs.usgs.gov/of/2007/1034/ofr20071034.pdf.
Pearlstine, L., Higer, A., Palaseanu, M., Fujisaki, I., and Mazzotti, F., 2007, Spatially Continuous Interpolation of Water Stage and Water Depths Using the Everglades Depth Estimation Network (EDEN): Gainesville, FL, Institute of Food and Agriculture, University of Florida, CIR 1521, 18 p., 2 appendicies, https://pubs.usgs.gov/publication/70120875.
Telis, Pamela A., 2006, The Everglades Depth Estimation Network (EDEN) for Support of Ecological and Biological Assessments: U.S. Geological Survey Fact Sheet 2006-3087, 4 p., https://doi.org/10.3133/fs20063087.