Conceptual design of the Everglades Depth 

Estimation Network (EDEN) grid 

By John W. Jones and Susan D. Price 

Open File Report 2007–1200 

U.S. Department of the Interior 

U.S. Geological Survey 
U.S. Department of the Interior 

Dirk Kempthorne, Secretary 

U.S. Geological Survey 

Mark Myer, Director 

U.S. Geological Survey, Reston, Virginia 2007 

For product and ordering information: 

World Wide Web: http://www.usgs.gov/pubprod

Telephone: 1-888-ASK-USGS 

For more information on the USGS—the Federal source for science about the Earth, 

its natural and living resources, natural hazards, and the environment: 

World Wide Web: http://www.usgs.gov 

Telephone: 1-888-ASK-USGS 

Suggested citation: 

Jones, John. W. and Susan D. Price, 2007, Conceptual design of the Everglades Depth Estimation 

Network (EDEN) grid: U.S. Geological Survey Open-File Report 2007-1200, Reston, VA, USGS, 20 

pgs. 

Any use of trade, product, or firm names is for descriptive purposes only and does not imply 

endorsement by the U.S. Government. 

Although this report is in the public domain, permission must be secured from the individual 

copyright owners to reproduce any copyrighted material contained within this report. 

ii
Contents 

Introduction ........................................................................................................................................................... 1

Map projection and coordinate system ........................................................................................................... 1

Spatial resolution.................................................................................................................................................. 2

Spatial location and extent................................................................................................................................. 2

Cell identifier assignment.................................................................................................................................... 2

Geographic data formats .................................................................................................................................... 2

Grid cell attribution............................................................................................................................................... 3

Data distribution ................................................................................................................................................... 3

Acknowledgements ............................................................................................................................................. 3

References cited .................................................................................................................................................. 3

Figures .................................................................................................................................................................... 5

Figures 

Figure 1 Overall extent of the EDEN grid. .......................................................................................................... 5

Figure 2 Sample analysis output: wet prairie percentage. ............................................................................ 6

Figure 3 Sample analysis output: sawgrass percentage. .............................................................................. 7

Figure 4 Sample analysis output: open water or slough percentage. ......................................................... 8

Figure 5 Sample analysis output: upland cover types percentage. ............................................................. 9

iii
Conversion Factors 

Inch/Pound to SI 

Multiply By To obtain

Length 

inch (in.) 2.54 centimeter (cm)

inch (in.) 25.4 millimeter (mm) 

foot (ft) 0.3048 meter (m) 

mile (mi) 1.609 kilometer (km)

mile, nautical (nmi) 1.852 kilometer (km)

yard (yd) 0.9144 meter (m)

Area 

acre 4,047 square meter (m2) 

acre 0.4047 hectare (ha)

acre 0.4047 square hectometer (hm2

) 

acre 0.004047 square kilometer (km2

) 

square foot (ft2

) 929.0 square centimeter (cm2) 

square foot (ft2

) 0.09290 square meter (m2) 

square inch (in

2

) 6.452 square centimeter (cm2) 

section (640 acres or 1 square 

mile) 

259.0 square hectometer (hm2

) 

square mile (mi

2

) 259.0 hectare (ha)

square mile (mi

2

) 2.590 square kilometer (km2) 

Volume 

barrel (bbl), (petroleum, 

1 barrel=42 gal)

0.1590 cubic meter (m3) 

ounce, fluid (fl. oz) 0.02957 liter (L) 

pint (pt) 0.4732 liter (L) 

quart (qt) 0.9464 liter (L) 

gallon (gal) 3.785 liter (L) 

gallon (gal) 0.003785 cubic meter (m3

) 

gallon (gal) 3.785 cubic decimeter (dm3

) 

million gallons (Mgal) 3,785 cubic meter (m3

) 

cubic inch (in

3

) 16.39 cubic centimeter (cm3) 

cubic inch (in

3

) 0.01639 cubic decimeter (dm3) 

cubic inch (in

3

) 0.01639 liter (L)

cubic foot (ft3

) 28.32 cubic decimeter (dm3) 

iv
cubic foot (ft3

) 0.02832 cubic meter (m3) 

cubic yard (yd

3

) 0.7646 cubic meter (m3) 

cubic mile (mi3

) 4.168 cubic kilometer (km3) 

acre-foot (acre-ft) 1,233 cubic meter (m3

) 

acre-foot (acre-ft) 0.001233 cubic hectometer (hm3

) 

Flow rate 

acre-foot per day (acre-ft/d) 0.01427 cubic meter per second (m3/s) 

acre-foot per year (acre-ft/yr) 1,233 cubic meter per year (m3/yr) 

acre-foot per year (acre-ft/yr) 0.001233 cubic hectometer per year

(hm3

/yr) 

foot per second (ft/s) 0.3048 meter per second (m/s) 

foot per minute (ft/min) 0.3048 meter per minute (m/min) 

foot per hour (ft/hr) 0.3048 meter per hour (m/hr)

foot per day (ft/d) 0.3048 meter per day (m/d) 

foot per year (ft/yr) 0.3048 meter per year (m/yr) 

cubic foot per second (ft

3

/s) 0.02832 cubic meter per second (m3/s) 

cubic foot per second per square 

mile [(ft3

/s)/mi2] 

0.01093 cubic meter per second per 

square kilometer [(m3/s)/km2] 

cubic foot per day (ft

3

/d) 0.02832 cubic meter per day (m3/d) 

gallon per minute (gal/min) 0.06309 liter per second (L/s)

gallon per day (gal/d) 0.003785 cubic meter per day (m3

/d) 

gallon per day per square mile

 [(gal/d)/mi2

] 

0.001461 cubic meter per day per square

kilometer [(m3/d)/km2] 

million gallons per day

(Mgal/d)

0.04381 cubic meter per second (m3

/s) 

million gallons per day per 

square mile [(Mgal/d)/mi2

] 

1,461 cubic meter per day per square

kilometer [(m3/d)/km2] 

inch per hour (in/h) 0 .0254 meter per hour (m/h) 

inch per year (in/yr) 25.4 millimeter per year (mm/yr) 

mile per hour (mi/h) 1.609 kilometer per hour (km/h) 

Mass 

ounce, avoirdupois (oz) 28.35 gram (g) 

pound, avoirdupois (lb) 0.4536 kilogram (kg)

ton, short (2,000 lb) 0.9072 megagram (Mg) 

ton, long (2,240 lb) 1.016 megagram (Mg) 

ton per day (ton/d) 0.9072 metric ton per day 

ton per day (ton/d) 0.9072 megagram per day (Mg/d)

ton per day per square mile 

[(ton/d)/mi2

] 

 0.3503 megagram per day per square

kilometer [(Mg/d)/km2] 

v
ton per year (ton/yr) 0.9072 megagram per year (Mg/yr) 

ton per year (ton/yr) 0.9072 metric ton per year 

Pressure 

atmosphere, standard (atm) 101.3 kilopascal (kPa) 

bar 100 kilopascal (kPa) 

inch of mercury at 60oF (in Hg) 3.377 kilopascal (kPa) 

pound-force per square inch

(lbf/in2

) 

6.895 kilopascal (kPa)

pound per square foot (lb/ft2

) 0.04788 kilopascal (kPa) 

pound per square inch (lb/in2

) 6.895 kilopascal (kPa) 

Density 

pound per cubic foot (lb/ft3) 16.02 kilogram per cubic meter 

(kg/m3

) 

pound per cubic foot (lb/ft3) 0.01602 gram per cubic centimeter 

(g/cm3

) 

Energy 

kilowatthour (kWh) 3,600,000 joule (J) 

Radioactivity

picocurie per liter (pCi/L) 0.037 becquerel per liter (Bq/L) 

Specific capacity 

gallon per minute per foot 

[(gal/min)/ft)] 

 0.2070 liter per second per meter

[(L/s)/m] 

Hydraulic conductivity

foot per day (ft/d) 0.3048 meter per day (m/d) 

Hydraulic gradient

foot per mile (ft/mi) 0.1894 meter per kilometer (m/km) 

Transmissivity* 

foot squared per day (ft

2

/d) 0.09290 meter squared per day (m2/d) 

Application rate

pounds per acre per year 

[(lb/acre)/yr] 

 1.121 kilograms per hectare per year

[(kg/ha)/yr] 

Leakance 

foot per day per foot [(ft/d)/ft] 1 meter per day per meter 

inch per year per foot [(in/yr)/ft] 83.33 millimeter per year per meter

[(mm/yr)/m]

Temperature in degrees Celsius (°C) may be converted to degrees Fahrenheit (°F) as follows: 

°F=(1.8×°C)+32

vi
Temperature in degrees Fahrenheit (°F) may be converted to degrees Celsius (°C) as follows: 

°C=(°F-32)/1.8 

Vertical coordinate information is referenced to the insert datum name (and abbreviation) here for instance, “North

American Vertical Datum of 1988 (NAVD 88).” 

Horizontal coordinate information is referenced to the insert datum name (and abbreviation) here for instance, “North

American Datum of 1983 (NAD 83).” 

Altitude, as used in this report, refers to distance above the vertical datum. 

*Transmissivity: The standard unit for transmissivity is cubic foot per day per square foot times foot of aquifer thickness 

[(ft3

/d)/ft2]ft. In this report, the mathematically reduced form, foot squared per day (ft2/d), is used for convenience. 

Specific conductance is given in microsiemens per centimeter at 25 degrees Celsius (μS/cm at 25 °C). 

Concentrations of chemical constituents in water are given either in milligrams per liter (mg/L) or micrograms per liter 

(μg/L). 

NOTE TO USGS USERS: Use of hectare (ha) as an alternative name for square hectometer (hm2

) is restricted to the

measurement of small land or water areas. Use of liter (L) as a special name for cubic decimeter (dm3

) is restricted to 

the measurement of liquids and gases. No prefix other than milli should be used with liter. Metric ton (t) as a name for 

megagram (Mg) should be restricted to commercial usage, and no prefixes should be used with it. 

vii
SI to Inch/Pound 

Multiply By To obtain

Length 

centimeter (cm) 0.3937 inch (in.)

millimeter (mm) 0.03937 inch (in.) 

meter (m) 3.281 foot (ft) 

kilometer (km) 0.6214 mile (mi)

kilometer (km) 0.5400 mile, nautical (nmi) 

meter (m) 1.094 yard (yd) 

Area 

square meter (m2) 0.0002471 acre

hectare (ha) 2.471 acre 

square hectometer (hm2

) 2.471 acre

square kilometer (km2

) 247.1 acre

square centimeter (cm2

) 0.001076 square foot (ft2) 

square meter (m2

) 10.76 square foot (ft2) 

square centimeter (cm2

) 0.1550 square inch (ft

2

) 

square hectometer (hm2

) 0.003861 section (640 acres or 1 square

mile) 

hectare (ha) 0.003861 square mile (mi2

) 

square kilometer (km2

) 0.3861 square mile (mi

2

) 

Volume 

cubic meter (m3) 6.290 barrel (petroleum, 1 barrel = 42

gal)

liter (L) 33.82 ounce, fluid (fl. oz) 

liter (L) 2.113 pint (pt)

liter (L) 1.057 quart (qt)

liter (L) 0.2642 gallon (gal) 

cubic meter (m3

) 264.2 gallon (gal) 

cubic decimeter (dm3

) 0.2642 gallon (gal) 

cubic meter (m3

) 0.0002642 million gallons (Mgal) 

cubic centimeter (cm3

) 0.06102 cubic inch (in3) 

cubic decimeter (dm3

) 61.02 cubic inch (in

3

) 

liter (L) 61.02 cubic inch (in

3

) 

cubic decimeter (dm3

) 0.03531 cubic foot (ft3) 

cubic meter (m3

) 35.31 cubic foot (ft3) 

cubic meter (m3

) 1.308 cubic yard (yd

3

) 

viii
cubic kilometer (km3

) 0.2399 cubic mile (mi3) 

cubic meter (m3

) 0.0008107 acre-foot (acre-ft) 

cubic hectometer (hm3

) 810.7 acre-foot (acre-ft) 

Flow rate 

cubic meter per second (m3/s) 70.07 acre-foot per day (acre-ft/d) 

cubic meter per year (m3/yr) 0.000811 acre-foot per year (acre-ft/yr) 

cubic hectometer per year

(hm3

/yr) 

811.03 acre-foot per year (acre-ft/yr)

meter per second (m/s) 3.281 foot per second (ft/s) 

meter per minute (m/min) 3.281 foot per minute (ft/min) 

meter per hour (m/hr) 3.281 foot per hour (ft/hr) 

meter per day (m/d) 3.281 foot per day (ft/d) 

meter per year (m/yr) 3.281 foot per year ft/yr)

cubic meter per second (m3

/s) 35.31 cubic foot per second (ft

3

/s) 

cubic meter per second per 

square kilometer [(m3

/s)/km2] 

91.49 cubic foot per second per square 

 mile [(ft3/s)/mi2] 

cubic meter per day (m3

/d) 35.31 cubic foot per day (ft

3

/d) 

liter per second (L/s) 15.85 gallon per minute (gal/min) 

cubic meter per day (m3

/d) 264.2 gallon per day (gal/d) 

cubic meter per day per square

kilometer [(m3

/d)/km2] 

684.28 gallon per day per square mile 

[(gal/d)/mi

2

] 

cubic meter per second (m3

/s) 22.83 million gallons per day (Mgal/d) 

cubic meter per day per square

kilometer [(m3

/d)/km2] 

0.0006844 million gallons per day per 

square mile [(Mgal/d)/mi2] 

cubic meter per hour (m3

/h) 39.37 inch per hour (in/h) 

millimeter per year (mm/yr) 0.03937 inch per year (in/yr) 

kilometer per hour (km/h) 0.6214 mile per hour (mi/h)

Mass 

gram (g) 0.03527 ounce, avoirdupois (oz) 

kilogram (kg) 2.205 pound avoirdupois (lb)

megagram (Mg) 1.102 ton, short (2,000 lb) 

megagram (Mg) 0.9842 ton, long (2,240 lb) 

metric ton per day 1.102 ton per day (ton/d) 

megagram per day (Mg/d) 1.102 ton per day (ton/d) 

megagram per day per square

kilometer [(Mg/d)/km2

] 

2.8547 ton per day per square mile 

[(ton/d)/mi2] 

megagram per year (Mg/yr) 1.102 ton per year (ton/yr) 

metric ton per year 1.102 ton per year (ton/yr) 

Pressure 

ix
kilopascal (kPa) 0.009869 atmosphere, standard (atm) 

kilopascal (kPa) 0.01 bar 

kilopascal (kPa) 0.2961 inch of mercury at 60°F (in Hg) 

kilopascal (kPa) 0.1450 pound-force per inch (lbf/in) 

kilopascal (kPa) 20.88 pound per square foot (lb/ft2

) 

kilopascal (kPa) 0.1450 pound per square inch (lb/ft2

) 

Density 

kilogram per cubic meter 

(kg/m3

) 

0.06242 pound per cubic foot (lb/ft3

) 

gram per cubic centimeter 

(g/cm3

) 

62.4220 pound per cubic foot (lb/ft3

) 

Energy 

joule (J) 0.0000002 kilowatthour (kWh)

Radioactivity

becquerel per liter (Bq/L) 27.027 picocurie per liter (pCi/L) 

Specific capacity 

liter per second per meter 

[(L/s)/m] 

4.831 gallon per minute per foot

[(gal/min)/ft]

Hydraulic conductivity

meter per day (m/d) 3.281 foot per day (ft/d) 

Hydraulic gradient

meter per kilometer (m/km) 5.27983 foot per mile (ft/mi) 

Transmissivity* 

meter squared per day (m2/d) 10.76 foot squared per day (ft

2

/d) 

Application rate

kilograms per hectare per year 

[(kg/ha)/yr] 

0.8921 pounds per acre per year 

[(lb/acre)/yr] 

Leakance 

meter per day per meter 

[(m/d)/m]

1 foot per day per foot [(ft/d)/ft]

millimeter per year per meter 

[(mm/yr)/m]

0.012 inch per year per foot [(in/yr)/ft] 

Temperature in degrees Celsius (°C) may be converted to degrees Fahrenheit (°F) as follows: 

°F=(1.8×°C)+32

Temperature in degrees Fahrenheit (°F) may be converted to degrees Celsius (°C) as follows: 

°C=(°F-32)/1.8 

Vertical coordinate information is referenced to the insert datum name (and abbreviation) here, for instance, “North

American Vertical Datum of 1988 (NAVD 88)” 

Horizontal coordinate information is referenced to the insert datum name (and abbreviation) here, for instance, “North

American Datum of 1983 (NAD 83)” 

x
Altitude, as used in this report, refers to distance above the vertical datum. 

*Transmissivity: The standard unit for transmissivity is cubic foot per day per square foot times foot of aquifer thickness 

[(ft3

/d)/ft2]ft. In this report, the mathematically reduced form, foot squared per day (ft2/d), is used for convenience. 

Specific conductance is given in microsiemens per centimeter at 25 degrees Celsius (μS/cm at 25°C). 

Concentrations of chemical constituents in water are given either in milligrams per liter (mg/L) or micrograms per liter 

(μg/L). 

NOTE TO USGS USERS: Use of hectare (ha) as an alternative name for square hectometer (hm2

) is restricted to the

measurement of small land or water areas. Use of liter (L) as a special name for cubic decimeter (dm3

) is restricted to 

the measurement of liquids and gases. No prefix other than milli should be used with liter. Metric ton (t) as a name for 

megagram (Mg) should be restricted to commercial usage, and no prefixes should be used with it. 

xi
The Everglades Depth Estimation Network (EDEN) 

Grid conceptual design 

By John W. Jones and Susan D. Price 

Introduction 

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). Ground elevation data for the greater 

Everglades and the digital ground elevation models derived from them form the foundation for all 

EDEN water depth and associated ecologic/hydrologic modeling (Jones, 2004, Jones and Price, 

2007). To use EDEN water depth and duration information most effectively, it is important to be 

able to view and manipulate information on elevation data quality and other land cover and habitat 

characteristics across the Everglades region. These requirements led to the development of the 

geographic data layer described in this techniques and methods report. Relying on extensive 

experience in GIS data development, distribution, and analysis, a great deal of forethought went 

into the design of the geographic data layer used to index elevation and other surface characteristics 

for the Greater Everglades region. To allow for simplicity of design and use, the EDEN area was 

broken into a large number of equal-sized rectangles (“cells”) that in total are referred to here as the 

“grid”. Some characteristics of this grid, such as the size of its cells, its origin, the area of Florida it 

is designed to represent, and individual grid cell identifiers, could not be changed once the grid 

database was developed. Therefore, these characteristics were selected to design as robust a grid as 

possible and to ensure the grid’s long-term utility. It is desirable to include all pertinent 

information known about elevation and elevation data collection as grid attributes. Also, it is very 

important to allow for efficient grid post-processing, sub-setting, analysis, and distribution. This 

document details the conceptual design of the EDEN grid spatial parameters and cell attribute-table 

content. 

Map projection and coordinate system 

The Universal Transverse Mercator (UTM) projection, using the North American Datum of 1983 

(NAD83) was selected as the EDEN grid map projection and coordinate system. Originally 

developed to facilitate allied military operations, the UTM provides a metric-based coordinate 

system that is simple to use, precludes negative coordinate values (a potential source of error during 

data transfer and analysis), and is commonly employed in environmental and other geographic 

analysis. Use of the NAD83 ensures both compatibility with modern surveying systems and the 

highest degree of accuracy currently possible for South Florida regional geographic analysis. 

1
Spatial resolution 

To match the Airborne Height Finder (AHF) system sample spacing, the spatial resolution or the 

dimensions (in ground distance) of each grid cell is 400m on each side. The AHF is the helicopterbased high accuracy elevation data (HAED) measuring system that has been used over the past 

several years to collect Everglades ground surface elevations to an accuracy specification of +/-

15cm (Desmond, 2003). These data constitute the foundation for the EDEN grid as nearly 50,000 

AHF points will be used to initially assign elevation values to each cell. The 400m spacing for AHF 

data collection was selected so that ground elevation data were collected at closer intervals than the 

spatial resolution planned for developing high-resolution hydrodynamic models for sub-regions of 

the Everglades (Schaffranek, 2001). 

Spatial location and extent

The origin and extent of the EDEN grid were selected to cover not only existing AHF data and 

current regions of interest for Everglades restoration, but to cover a rectangular area that includes 

all landscape units (USACE, 2004) and conservation areas in place at the time of its development 

(Figure 1). This will allow for future expansion of analyses throughout the Greater Everglades 

region should resources allow and scientific or management questions require it. Combined with 

the chosen extent, the 400m cell resolution produces a grid that is 675 rows and 375 columns 

(253,125 cells total). 

Cell identifier assignment 

The assignment of a unique identifier to each EDEN cell is a difficult, but critical task. Unique 

identifiers allow for continual, long-term management and analysis of the data within the grid as it 

is a sub-set for analysis, data distribution, or editing during continued improvement. Cells are 

uniquely identified by two different processes. First, by definition each cell has a unique 

coordinate pair for its center. However, the use of X/Y coordinate pairs as a unique identifier is 

cumbersome. Therefore, a “master id” number has been assigned to each cell. Maintained as a 

separate attribute item, this ID is not altered by software processing (as internally assigned and 

maintained cell ID values can be). 

Geographic data formats 

To make the EDEN grid as easy to use as possible for a wide variety of researchers and analysts, 

the EDEN grid has been created in 3 different formats1

: Microsoft ACCESS Geodatabase, 

ARC/INFO coverage, and ARC/INFO shapefile. Because of the grid’s resolution, area of coverage, 

and extensive attribute information, these files can easily reach sizes of over 60 megabytes in 

compressed form. 

 1

 Use of commercial products and trade names does not constitute an endorsement by the Federal Government. 

2
Grid cell attribution 

Through various GIS operations, grid cells can be attributed with a variety of information using 

data of different spatial resolutions. For example, based on EDEN applications modeling of daily 

water depths, each grid cell can be assigned a hydroperiod (average length of time per year that the 

cell has water above the ground surface). As another example, a satellite-derived land cover map 

(with 30m spatial resolution) was overlain on the 250,000+, 400m-resolution grid cells to calculate 

the percentage of each grid cell covered by each land cover type. The results were appended to the 

grid attribute table. (This represents a significant processing challenge that would not be practical 

“on-the-fly”). Figures 2 through 5 show the percentages of grid cells covered by one of four land 

cover classes derived from the early 1990’s Landsat satellite data (Florida Cooperative Fish and 

Wildlife Research Unit, 2007) for the entire EDEN domain. How might these pieces of information 

be used? To identify areas with diverse wetland habitat content, a biologist might query the grid for 

all cells with a hydroperiod greater than 6-months and equal percentages of each land cover type. 

Or, managers might estimate areas likely to undergo significant changes in vegetation cover given

changed water flow management by identifying cells with “marginal” land cover of one class (e.g., 

sawgrass) or another (e.g., open water). Following years of managed flow, new satellite-based 

maps of land cover might be developed and the operation repeated to asses impacts of water 

management actions on vegetation. Such continued development and attribution of the grid can 

facilitate adaptive management of the Everglades restoration.

Data distribution 

The EDEN grid is freely distributed through the South Florida Information Access website 

(http://sofia.usgs.gov/eden/models/edengrid.php) data exchange pages. Attribute data associated 

with the EDEN grid are considered preliminary and will undergo further development and 

evaluation prior to release. 

Acknowledgements 

Funding for EDEN DEM development was provided by the USGS’s Greater Everglades Priority 

Ecosystems Science Program and the Land Remote Sensing Program. 

References cited 

Desmond, Gregory B., 2003. Measuring and mapping the topography of the Florida Everglades for 

ecosystem restoration. U.S. Geological Survey Fact Sheet FS-021-03. 

Florida Cooperative Fish and Wildlife Research Unit, 2007, Florida GAP Analysis Project Web 

Page (http://www.wec.ufl.edu/coop/GAP/) for Landsat-derived vegetation database download. 

3
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. 

Jones, John W., 2004. Characterizing important scale lengths of Everglades vegetation for 

hydrodynamic modeling and restoration monitoring. In Proceedings of the National Conference on 

Ecosystem Restoration (NCER), Orlando Florida, December 5-10, 2004, Lake Buena Vista, 

Florida. 

Schaffranek, Raymond, 2001. The Tides And Inflows in the Mangroves of the Everglades (TIME)

interdisciplinary project of the South Florida Ecosystem Program. U.S. Geological Survey Fact 

Sheet FS-031-01. 

Telis, P.A., 2006. The Evergaldes Depth Estimation Network (EDEN) for Support of Ecological 

and Biological Assessments: U.S. Geological Survey FS 2006-3087, 4 p. 

U.S. Army Corps of Engineers, 2004. CERP Monitoring and Assessment Plan Part 1: Monitoring 

and Supporting Research, Jacksonville, Florida. 

4
Figures 

Figure 1 Overall extent of the EDEN grid is indicated by the large black-lined rectangle. Boundaries of the 

Everglades landscape units are shown in purple. For scale, USGS 1:24,000 quadrangle boundaries are shown in

light yellow. Major highways are shown in red and yellow. Both minor roads and county boundaries are 

depicted using light grey lines. 

5
Figure 2 Sample analysis output showing the percentage of each EDEN grid cell covered by wet prairie as 

estimated from early 1990’s Landsat satellite data processed for vegetation associations and land cover types.

6
Figure 3 Sample analysis output showing percent of each EDEN grid cell covered by sawgrass as estimated from 

early 1990’s Landsat satellite data processed to yield vegetation associations and land cover types. 

7
Figure 4 Sample analysis output showing percentage of each EDEN grid cell covered by open water or slough as 

estimated from early 1990’s Landsat satellite data processed to yield vegetation associations and land cover. 

8
Figure 5 Sample analysis output showing percentage of each EDEN grid cell covered by upland cover types as 

estimated from early 1990’s Landsat data processed to yield vegetation associations and land cover types. 

9