SAS: Software Application for SMASH (Spectral Mixture Analysis for Surveillance of Harmful Algal Blooms)
September 29, 2023
The Software Application for SMASH (Spectral Mixture Analysis for Surveillance of Harmful Algal Blooms), or SAS for short, is an application to facilitate mapping of potentially harmful algal blooms in reservoirs, rivers, and lakes from remotely sensed data. More specifically, SAS is designed to exploit the detailed observations of reflectance available within a hyperspectral image to infer which particular kinds of algae or cyanobacteria might be present within the water body.
Citation Information
| Publication Year | 2023 |
|---|---|
| Title | SAS: Software Application for SMASH (Spectral Mixture Analysis for Surveillance of Harmful Algal Blooms) |
| DOI | 10.5066/P928658I |
| Authors | Carl J Legleiter |
| Product Type | Software Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | Water Resources Mission Area - Headquarters |
Related Content
Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data
Algal blooms around the world are increasing in frequency and severity, often with the possibility of adverse effects on human and ecosystem health. The health and economic impacts associated with harmful algal blooms, or HABs, provide compelling rationale for developing new methods for monitoring these events via remote sensing. Although concentrations of chlorophyll-a and key pigments like phyco
Authors
Carl J. Legleiter, Tyler Victor King, Kurt D. Carpenter, Natalie Celeste Hall, Adam Mumford, E. Terrence Slonecker, Jennifer L. Graham, Victoria G. Stengel, Nancy Simon, Barry H. Rosen
Related Content
Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data
Algal blooms around the world are increasing in frequency and severity, often with the possibility of adverse effects on human and ecosystem health. The health and economic impacts associated with harmful algal blooms, or HABs, provide compelling rationale for developing new methods for monitoring these events via remote sensing. Although concentrations of chlorophyll-a and key pigments like phyco
Authors
Carl J. Legleiter, Tyler Victor King, Kurt D. Carpenter, Natalie Celeste Hall, Adam Mumford, E. Terrence Slonecker, Jennifer L. Graham, Victoria G. Stengel, Nancy Simon, Barry H. Rosen