Includes maps showing the location of FCE LTER sites at various resolutions, as well as
other maps. Complete accuracy of maps cannot be guaranteed.
All maps are made available "as is". The Florida
Coastal Everglades LTER shall not be liable for damages
resulting from any use or misinterpretation of maps.
Interactive Everglades Map
Create your own map, search for FCE LTER project and site information, and download GIS layers.
The interactive map includes all of the layers listed under 'Everglades GIS Layers' to the left.
Maps of Land Cover Change in Southern Miami-Dade County
Southern Miami-Dade County serves as a critical buffer zone located
between two national parks. In this project, we examine the process of
rapid suburbanization as agricultural lands transition to residential
development. Strategies to slow suburbanization at local and regional
scales include growth management policies and zoning regulations. In
particular, zoning ordinances serve the primary method for lessening and
preventing the conversion of agricultural and forested lands-though
zoning has also been implicated in increased landscape fragmentation. To
understand the effectiveness of zoning in protecting rural lands, FCE
researchers are using recently acquired high-resolution GeoEye imagery
to quantify green vegetation, classify prevailing land use/covers
(including lawns) and derive indices of landscape structure for the
study site. These recent data capture present-day land cover (April
2009), and will be additionally linked to historical data for previous
years (2004 CIR digital orthophotographs, 3-band digital
orthophotographs, historical aerial photography). For broader area
coverage we will investigate cross-platform data merging, dasymmetric
mapping and change detection using Landsat TM imagery. To facilitate
cross-LTER site comparisons, moreover, FCE researchers are collaborating
with other LTER sites (BES, PIE and CAP) to employ common approaches to
cover characterization. These initiatives employ object-oriented
methodologies (within a Definiens software environment) linked with
ancillary GIS data for image segmentation, rule development and
classification in an iterative approach.
The study area (with current and 2004 data coverage grid), a target land
cover classification scheme and preliminary classification are
exemplified in the maps above.
This material is based upon work supported by the National Science
Foundation through the Florida Coastal Everglades Long-Term Ecological Research program under
Any opinions, findings, conclusions, or
recommendations expressed in the material are those of the
author(s) and do not necessarily reflect the views of the National
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