Sequoia Scientific, Inc., together with MIT and UCSD, were awarded a two-year SBIR grant from ARPA-E in May 2020. The grant was for developing an instrument – the LISST-RTSSV – for monitoring the environmental effects of deep-seabed mining. In...
LISST-Tau profiles from 4.5 day glider deployment. The LISST-Tau has been tested on several autonomous profiling glider deployments. The figure shows beam-c data collected by the LISST-Tau over a four and half day glider deployment. 24,000 measurements...
The USGS has evaluated Sequoia’s LISST-ABS at 10 streamflow-gaging stations, collecting LISST-ABS and suspended sediment concentration (SSC) data between January 2016 and February 2018. The evaluation also compared the LISST-ABS to standard turbidity...
LISST-AOBS has Nearly Uniform Sensitivity Across Wide Grain Sizes! B Why the Acousto-Optic Super-Turbidity Sensor LISST-AOBS? The sensitivity (Volts/[mg/L] ) of Optical turbidity sensors varies inversely with grain size. Turbidity sensors are highly...
Welcome to the first installment of Sequoia’s Fun Fact Series! Irregularly, we’ll post interesting facts about sediments in this Fun Fact Series. To kick it off, we’ll go all the way back to the beginning – the very first known...