Award Data

We propose a high-impact innovation for weather forecasting that integrates global ensemble weather forecasts with an AI-driven post-processing model of extreme weather indices. This innovation will provide the basis for skillful probabilistic forecasts of compound extreme weather events at extended lead times. Extreme weather/climate events of relevance to electric utilities focused on in Phase I ...

Elevated temperatures observed in urban areas have significant implications for human health, energy consumption and infrastructure reliability, and their negative effects disproportionately impact disadvantaged populations. Increasing scientific and practical understanding of urban heat islands is an important step in identifying those regions at elevated risk, and effective mitigation strategi ...

Environmental monitoring and forecasting for marine, coastal and terrestrial environments plays a critical role in informed decision making for a wide range of stakeholders in government and regulatory agencies, private industry, and the scientific community. The need for high-quality rapid data and analytics is becoming increasingly important in the face of a changing climate, which threatens to ...

High-resolution images from satellites and airplanes have become ubiquitous in the current digital landscape, and readily available to the public. In recent years, deep learning approaches, and in particular deep convolutional neural networks have revolutionized computer vision. Such deep learning models thrive with an abundance of data, creating enormous potential at the nexus of computer vision ...

This Small Business Innovation Research project addresses the development of a new smartphone enabled water quality monitoring data platform supporting NOAA’s mandate to maximize pathways for the public to engage with environmental research and monitoring applications. For example, NOAA has a rich history of Citizen Scientist involvement in the pursuit of the best social, economic and environmen ...

Emergent Healthcare Solutions proposes to research the feasibility of a dynamic cloud-based incident Intelligence System called Emergent Cloud. Emergent Cloud is an application service providing firefighters and Emergency Medical Technicians access to an interactive incident roadmap and real-time workflow and record keeping. The general aim of the proposed project is to revolutionize the user expe ...

We propose an innovative yet straightforward approach to developing and delivering a readily deployable product to support combating IUU. We combine newly available low-cost hyperspectral sensors with state-of-the-art deep learning-based real-time data processing and deploy it on high-availability commodity cloud computing hardware - our solution is compatible with both existing systems as well as ...

Marine life entanglement is one of the critical permitting issues that is currently constraining the growth of domestic offshore aquaculture. Synthetik Applied Technologies is proposing to develop a low-cost entanglement detection system for offshore aquaculture operators. The system will use a combination of near real-time satellite imagery, intelligent on-site cameras (both above and below the w ...

To satisfy the need for a radiation-hardened, 1064-nm laser sensitive, single-photon sensitive ladar camera, with pixel counts of 128 x 128 or more, a proven single-photon linear-mode InGaAs(P)/InAlAs avalanche-photodiode (APD) detector will be integrated with low-noise ladar readout integrated circuits (ROICs), and its performance will be shown compatible with missile defense mission requirements ...

TECHNICAL ABSTRACT: The objective of this project is to develop and implement a real-time detection and warning system to mitigate marine entanglement events in offshore aquaculture operations. In order to achieve this, we leverage the latest advances in computer vision, deep learning, and real-time object detection to develop a real-time marine life detection, classification and tracking pipeline ...