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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

Introduction
Conversion Factors
Map projection and coordinate system
Spatial resolution, location and extent
Cell identifier assignment
Geographic data formats
>Grid cell attribution
Data distribution
Acknowledgements
References Cited
Figures
PDF
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.

Sample analysis output: wet prairie percentage
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]


Sample analysis output: sawgrass percentage
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]


Sample analysis output: open water or slough percentage
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]


Sample analysis output: upland cover types percentage
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]

< Geographic data formats | Data distribution >



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Last updated: 13 September, 2007 @ 01:58 PM(KP)