Award Data

Commercially available unmanned aircraft systems (UASs) are not well designed to meet requirements for many atmospheric measurement applications, including deployment from ships, long endurance, and low cost. Multi-rotor UASs have recently gained popularity as a lowcost platform use in measurement and monitoring applications, but these systems have limited endurance and payload capabilities. Exist ...

TECHNICAL ABSTRACT: Commercially available unmanned aircraft systems (UASs) are not well designed to meet requirements for many atmospheric measurement applications, including deployment from ships, long endurance, and low cost. Existing multi-rotor systems suffer from limited payload and endurance. Existing fixed wing systems offer improved endurance and payload, but require significant support h ...

Creare is developing a miniature power system for NOA weather monitoring stations in remote locations. This system can provide electric power continuously from naturally occurring temperature differences that exist between ambient air and water in environments such as the Arctic Ocean and the Great Lakes. Generating power directly from these temperature difference uses the atmosphere and ocean/lat ...

There is a dearth of accessible information and innovative tools to map and obtain biomass data for analysis, conservation, and sustainable resource management of intertidal vegetation in the United States and globally. A major technical problem is the integration of biological and physical data at small spatial scales (2 meters). We propose Unoccupied Aerial Systems (UAS) can be used for quality ...

There is a growing need for a single source of truth data about intertidal zones that can used by lawmakers, resource managers, conservationists, engineers, pharmaceutical and food manufacturers, farmers and fishers, and scientists for better environmental planning and protection, particularly for the land-sea interface. Our Phase II research will solve this challenge by developing a data analytic ...

The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

In 2017 the CDC estimated 35,000 American got sick from Vibrio parahaemolyticus transmitted by shellfish--a 54% increase. However, according to the co-chair of the Interstate Shellfish Sanitation Commission, “Our current system of traceback is inadequate.... Records are lost. Handwriting is illegible. More than half of all traceback investigations fail because the information in the value chain ...

The gray whale migration generates many hours of video that must be examined carefully to identify passing whales and get an accurate count of their numbers. Unfortunately, humans lack the necessary attention span. To solve this problem, a detector will be developed that can process hours of video, detecting whale blows while minimizing false positives and negatives. With an accurate record of ...