Award Data

Salient Predictions Inc. proposes to develop new technology for accurate subseasonal to seasonal (S2S) water availability forecasts so that communities may manage water resources in preparation for hazardous events like floods and droughts. Current hydrological models face challenges related to data inputs, as climate change has been presenting weather patterns atypical from historical data. Witho ...

We propose to develop in-situ low cost sensors to support fire meteorology for wildland fire emergency response, by blanketing the fire area with real time measurements. Sensors can be air-deployed to provide vertical atmospheric measurement profiles or hand-emplaced for augmenting existing surface fire weather stations. Each telemeters precision measurements of air temperature, solar radiation, i ...

Ocean ecosystems are critical to the regulation of Earth’s climate and biodiversity, while also hosting a range of direct and indirect benefits to people, from food supply to recreation. Coastal ocean systems are dynamic regions especially rich in diverse biological and geochemical interactions. However, major gaps exist in our knowledge of the primary biogeochemical processes and the factors re ...

LobsterLift is a ropeless fishing device that will enable lobstermen to continue to use their lobster trap- fishing gear without requiring the traditional vertical ropes that endanger the North Atlantic right whale (NARW), a species on the brink of extinction. We are seeking a 6-month research grant for $150,000 that will enable LobsterLift LLC to conduct feasibility research, product development, ...

There is a dire need in multiple market segments for technology to rapidly and accurately detect and quantify Escherichia coli and Vibrio parahaemolyticus and total fecal coliforms. We propose to develop a novel approach to Surface Enhanced Raman Spectroscopy (SERS) for detecting human pathogens in seafood reared and harvested from aquaculture farms, at point-of-sale in seafood markets, and in the ...

We propose to develop a fillet identification methodology using visible imagery that can be collected and processed on commodity hardware such as modern smartphones, dramatically increasing the availability of fillet identification technology. In order to accomplish this, we will gather an annotated data set of fillet pictures, traceable to verifiable whole fish images. Using these pictures, we wi ...

Natural disasters and other severe weather events have the potential to create loss of life and damage property on a large scale. Preparing for and responding to these incidents is a complex, multi-phase process. NOAA’s 2019-2022 Strategic Plan is to achieve the vision of a Weather Ready Nation to reduce the impacts of weather, water, and climate events and harness cutting-edge science, technolo ...

Volatile organic compounds (VOCs) are emitted from a wide variety of biogenic and anthropogenic sources. VOCs transform in the atmosphere, forming ozone and oxygenated VOCs (OVOCs), which in turn can form fine particulates or condense onto preexisting particulate matter (PM). Both ozone and fine PM are deleterious to human health and alter the Earth’s climate. Measurements of (O)VOCs are necessa ...

The project will develop a low-cost, connected, sorting system which utilizes smart cameras to measure dozens of oysters per minute, in three dimensions, and then sort into different size classes based on those data. Utilizing low-cost technology significantly reduces labor costs, while increasing the number of product offerings and simultaneously improving the reliability of each oyster grade. Th ...

Small Unmanned aircraft systems (UAS) play a critical and growing role in government, military, commercial, and scientific operations across a range of missions such as weather monitoring, natural disaster assessment, surveillance, and infrastructure inspection. Their versatility, maneuverability, and dependability, coupled with their ability to keep operators out of harm’s way, make them critic ...