Paper
14 August 2003 Hyperspectral applications in wetland characterization
Author Affiliations +
Abstract
Despite the considerable slowdown of wetlands loss in conterminous U.S., management of these valuable resources continues to be an area of interest for environmental professionals. The development of remote sensing technologies, particularly hyperspectral, offers an alternative for ecological and functional assessment of these sites. Extensive hyperspectral data image collected from the various sensor types can be analyzed by discriminatory techniques for reflectance analysis. Although data processing can become tedious, it enables scientists to target the various inherited characteristics of large wetland areas such as vegetative species and habitats. This information can be applied to determine the health and functionality of the nation's wetlands for means of wetland characterization, assessment, management and possible restorative efforts to bring a consistent and fundamental change on how these are managed today.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Moises Y. Barona, Richard B. Gomez, and William E. Roper "Hyperspectral applications in wetland characterization", Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); https://doi.org/10.1117/12.502454
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Cited by 1 scholarly publication.
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KEYWORDS
Vegetation

Sensors

Remote sensing

Reflectivity

Hyperspectral systems

Ecosystems

Hyperspectral imaging

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