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Unpublished Paper
Consulting Services to Determine the Effectiveness of Vegetation Classification Using WorldView 2 Satellite Data for the Greater Everglades
GIS Center
  • Daniel Gann, GIS-RS Center, Florida International University
  • Jennifer H. Richards, Department of Biological Sciences, Florida International University
  • Himadri Biswas, GIS-RS Center, Florida International University
Date of this Version
2-2-2012
Document Type
Report
Disciplines
Abstract

The purpose of this project was to evaluate the use of remote sensing 1) to detect and map Everglades wetland plant communities at different scales; and 2) to compare map products delineated and resampled at various scales with the intent to quantify and describe the quantitative and qualitative differences between such products. We evaluated data provided by Digital Globe’s WorldView 2 (WV2) sensor with a spatial resolution of 2m and data from Landsat’s Thematic and Enhanced Thematic Mapper (TM and ETM+) sensors with a spatial resolution of 30m. We were also interested in the comparability and scalability of products derived from these data sources. The adequacy of each data set to map wetland plant communities was evaluated utilizing two metrics: 1) model-based accuracy estimates of the classification procedures; and 2) design-based post-classification accuracy estimates of derived maps.

Citation Information
Daniel Gann, Jennifer H. Richards and Himadri Biswas. "Consulting Services to Determine the Effectiveness of Vegetation Classification Using WorldView 2 Satellite Data for the Greater Everglades" (2012)
Available at: http://works.bepress.com/daniel_gann/1/