Abstract
Geodatabase development for coastal studies conducted by the Naval Research Laboratory (NRL) is essential to support the exploitation of hyperspectral imagery (HSI). NRL has found that the remote sensing and mapping science community benefits from coastal classifications that group coastal types based on similar features. Selected features in project geodatabases relate to significant biological and physical forces that shape the coast. The project geodatabases help researchers understand factors that are necessary for imagery post processing, especially those features having a high degree of temporal and spatial variability. NRL project geodatabases include a hierarchy of environmental factors that extend from shallow water bottom types and beach composition to inland soil and vegetation characteristics. These geodatabases developed by NRL allow researchers to compare features among coast types. The project geodatabases may also be used to enhance littoral data archives that are sparse. This paper highlights geodatabase development for recent remote sensing experiments in barrier island, coral, and mangrove coast types.
Department
Center for Coastal and Ocean Mapping
Publication Date
7-2010
Journal Title
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Conference Date
Jul 25 - Jul 30, 2010
Publisher Place
Honolulu, HI, USA
Publisher
IEEE
Digital Object Identifier (DOI)
10.1109/IGARSS.2010.5654182
Document Type
Conference Proceeding
Recommended Citation
Fusina, Robert A.; Fry, John C.; Nichols, C Reid; Bachmann, Charles M.; Li, Rong-Rong; Sellars, Jon; Parrish, Christopher; Montes, Marcos J.; Gross, Carl; White, Stephen A.; Lee, Krista; and Jones, Christopher A., "Geodatabase Development to Support Hyperspectral Imagery Exploitation" (2010). IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 785.
https://scholars.unh.edu/ccom/785