Award Data

Reducing the False Alarm Rate (FAR) of Automated Target Recognition (ATR) algorithms for Synthetic Aperture Radar (SAR) imagery is crucial for Intelligence, Surveillance, Reconnaissance (ISR) and precision target engagement missions. While modern Deep Learning (DL) ATR networks have demonstrated advanced predictive capabilities and generalization for SAR imagery, they lack spatial awareness, resul ...

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 ...

The project objective is to greatly reduce the cost of monitoring soil water content in highly-resolved vertical profile to promote increased adoption of more efficient water management tools. Cost is the most significant barrier to adoption of sophisticated data-driven irrigation management in permanent agriculture. Highly-resolved vertical soil water profiles are needed to learn soil-specific hy ...

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 being a food source 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 fa ...

There is a dire need for technology to rapidly and accurately detect and quantify Escherichia coli serotypes 0157:H7 and K12 and Vibrio parahaemolyticus and total fecal coliforms. In Phase I we developed a novel approach to Surface Enhanced Raman Spectroscopy (SERS) for detecting human pathogens in cultured bacteria, mixtures of organisms and in oyster tissue. Our approach uses a higher energy las ...

Maintaining healthy populations of salmon and trout (salmonids) has significant biological, cultural, and economic benefits. Significant data gaps exist for sources of mortality in juvenile and adult salmonids in small streams. These gaps can create discrepancies between main stem escapement counts and estimates of population health. Field Data Services, LLC is developing novel camera trap technol ...

Reducing the false alarm rate (FAR) of Automated Target Recognition (ATR) algorithms is crucial for intelligence, surveillance, reconnaissance (ISR) and precision target engagement missions. There are many contributing factors that result in higher FAR for deep learning (DL) ATR networks operating on Synthetic Aperture Radar (SAR) imagery, including: image distortions, unrepresentative target sign ...

The pHyter is a handheld device that accurately measures pH using colorimetry, communicating with a cellphone via Bluetooth Low Energy. The app records location, time, temperature, pH and meta-data. In Phase I, we redesigned the instrument using an ‘internet of things’ development platform, modified the app to operate on both Android and iOS phones, and showed, through a network of partners, t ...

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 ...