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Image and in situ data integration to derive sawgrass density for surface flow modelling in the Everglades, Florida, USA

IAHS-AISH Publication

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Abstract

The US Geological Survey is building models of the Florida Everglades to be used in managing south Florida surface water flows for habitat restoration and maintenance. Because of the low gradients in the Everglades, vegetation structural characteristics are very important and greatly influence surface water flow and distribution. Vegetation density is being evaluated as an index of surface resistance to flow. Digital multispectral videography (DMSV) has been captured over several sites just before field collection of vegetation data. Linear regression has been used to establish a relationship between normalized difference vegetation index (NDVI) values computed from the DMSV and field-collected biomass and density estimates. Spatial analysis applied to the DMSV data indicates that thematic mapper (TM) resolution is at the limit required to capture land surface heterogeneity. The TM data collected close to the time of the DMSV will be used to derive a regional sawgrass density map.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Image and in situ data integration to derive sawgrass density for surface flow modelling in the Everglades, Florida, USA
Series title:
IAHS-AISH Publication
Issue:
267
Year Published:
2000
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
507
Last page:
512
Number of Pages:
6