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

Overview of attention for article published in Remote Sensing of Environment, September 2022

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RT @USGS_DataSci: 🚨New paper on #RemoteSensing of #Water Quality using lab & field #satellite data to identify #cyanobacteria in #UpperKlam…

RT @USGS_DataSci: 🚨New paper on #RemoteSensing of #Water Quality using lab & field #satellite data to identify #cyanobacteria in #UpperKlam…

@misteralgae @sfei_asc @noaacoastalsci Good question, @misteralgae. yes, it appears they do. See this recent publication by my @USGS colleagues who could identify different cyanobacterial genera from hyperspectral data https://t.co/jJYTizp091

RT @USGS_Texas: Check out this 🧵 thread on new research on #RemoteSensing of #Water Quality to identify #cyanobacteria. Learn more about #…

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