Award Data

The pace of remotely sensed data collection is increasing exponentially while the skilled workforce that is available to analyze and interpret the data is not. Artificial Intelligence (AI) offers a technology pathway to automation which promises to rapidly reduce the gap between data and information products and services. However, AI techniques require massive quantities of labeled data to train m ...

Low level meteorological data over the world’s oceans is hard to collect, due to the cost and difficulty of sensor emplacement. Crewed aircraft are deployed when major weather events arise, but between those major weather events, in-situ data sources are very limited. Uncrewed aircraft systems (UAS) present a unique opportunity to inexpensively collect meteorological data from remote areas, but ...

Tropical Cyclone meteorological data from the Atlantic main development region (MDR) is difficult to collect due to the remoteness of the location and difficulty of deploying manned aircraft to the region. Data collection is frequent upon development of a major hurricane but many tropical disturbances in the MDR leading up to hurricane development are of interest. Being able to collect meteorologi ...

Many municipalities in the United States have begun to use impermeability measurements to incentivize storm water retention as part of the architectural and landscaping design process. These measurements are performed through analysis of high-resolution aerial photography and updated on an annual or semi-annual basis. The practice of using high resolution aerial or even satellite photography is pr ...

Detect and Identify Automated Labeler for Radar (DIALR)  Prime Solutions Group, Inc. (PSG) proposes Detect and Identify Automated Labeler for Radar (DIALR) for Research and Development (R&D) and demonstration of an algorithm framework for automated labeling of target classes in radar imagery. This provides a baseline for automatically labeling multiple target classes in Synthetic Aperture Radar ...

Existing THz devices have not yet provided all the imaging functionalities required to fulfill non-destructive imaging and remote sensing applications. Most of the THz imaging and spectroscopy systems utilize single-pixel detectors, which results in a severe trade-off between the measurement time and field-of-view.   Lack of large-format (many-pixel) sensor arrays is one of the major hurdles for ...

Nanoplastics (plastic debris

Seafood consumption in the United States has reached over 50% per capita over the last 25 years with over 75% of total U.S. seafood consumption coming from import. Many of the U.S. seafood import sources are located in tropical areas where bacteria and toxin hazards thrive. This concern is exacerbated by the increasing trade deficit. In 2001, the United States imported $6.8 billion more than expor ...

The primary goal of this research is to advance flood extent delineation modeling by enhancing the ability of the modeling community to access and utilize the forecasts and reanalysis products of the National Water Model. One of the most difficult challenges facing stakeholders in the flood inundation domain is the lack of easily accessible tools to query and process the large and complex datasets ...

"The Aerielle SONAR UAS Phase II proposal is in response to Topic 9.4.01, “Unmanned Aircraft System: Rapid Response for Natural Disaster” and proposes to improve and further develop the “Aerielle” with a Humminbird underwater sonar imaging commonly used by emergency responders. The goal of the Aerielle SONAR UAS was to perform SONAR scanning of underwater structures for hazardous debris id ...