Award Data

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 ...

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 ...

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 ...

A new radiometric vicarious calibration approach for the Suomi NPP VIIRS Day/Night Band’s (DNB) high gain stage (HGS) is proposed that will complement traditional, extended source, radiance-based calibrations, which are based on natural lunar illumination and not as accurate as desired. The proposed research will produce affordable, field-deployable, NIST-traceable point source lamps that can ac ...

PHASE II TECHNICAL OBJECTIVE The major objective of this Phase II proposal is to establish open source traffic simulation model and software, and to develop application programming interfaces to accommodate future traffic research needs. Objectives will be accomplished by building and demonstrating FOMM, an open source traffic simulation model and software. Furthermore, to accommodate future resea ...

Storm surge poses a grave threat to both life and property as hurricanes make landfall. The ability to monitor surge in real-time using a densely-space network of sensors with integrated data recording and telemetry would provide NOAA with a unique capability. Our approach is to offer a system which incorporates a flexible multi-modal data acquisition platform with integrated telemetry for real-ti ...

In the Open-source microscopic traffic simulation models project, a component based software framework is proposed to re-engineer CORISM data struture and CORISM interface. Under the architecture combing the innovative framework and the legacy CORISM, prototype of the open source traffic flow simulation models will be developed and demonstrated in the Phase I. In addition, areas identified by th ...