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publications > open file report > OFR 2007-1200 > grid cell attribution
Conceptual design of the Everglades Depth Estimation Network (EDEN) grid
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.
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| 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. [larger image] |
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| 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. [larger image] |
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| 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. [larger image] |
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| 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. [larger image] |
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