Award Data

Prescribed burns are a critical aspect of land management, but they require vegetation data that is hard to obtain at high resolution and on the timescale required. Our autonomous UAV collects critical fire modeling variables through subcanopy flight, enabling rapid surveys for faster and safer burn planning. In Phase I, we proved the feasibility of mapping live fuel moisture content (LFMC) with s ...

Commercial buildings use 35% of the entire US energy output, and up to a third of that energy is wasted. Rapidly rising fuel costs, increasing concern about climate change, and policy directives from the Biden Administration are all driving the need for increased energy efficiency and the elimination of waste. At the same time, the COVID-19 pandemic has dramatically increased public awareness of t ...

Temperature is the critical signal that allows monitoring of a myriad of Earth’s processes. From direct measurements of wildfire and urban heat to more complex relationships with drought, agriculture, aquaculture, and biodiversity, maintaining a steady pulse on Earth’s surface temperature enables us to mitigate for and adapt to the impacts of extreme events and increasingly variable water avai ...

The brevetoxins (PbTx) produced by Karenia brevis cause harmful algal blooms (HAB) or "red tide" in seawater. Currently, the only available ways of detecting PbTx are laboratory tests such as enzyme-linked immunosorbent assays, which are expensive and slow, and require complex instrumentation and multiple processing steps. In previous work Intelligent Optical Systems (IOS) demonstrated a compact l ...

"Jaia Robotics’ low-cost, micro-sized hybrid uncrewed surface/underwater vehicles called JaiaBotsTM can be deployed from the shore or vessels. The system enables truly affordable multivehicle operations that can be scaled to provide wide area synoptic data collection. In the proposed effort the project team will develop a JaiaBot which is air-deployable from sonobuoy launch tubes to collect atmo ...

A cloud based system for sharing bathymetric survey data collected by FarSounder customers is proposed as a way(1) to improve safety of navigation on our oceans, (2) to collect measurements for the broader scientific and maritime communities and (3) to generally explore and broadly share information about our oceans in fulfillment of ideas proposed in Topic 9.3 “The Changing Ocean”, and in acc ...

Special Operations Forces (SOF) require an intuitive LCNC platform and tailored trainings to enable members of its operational units to prep field data for decision making. SOF are charged with conducting military missions of high significance on behalf of the United States and its allies. SOF encounter a diverse and nuanced series of data during missions and during preceding ISR operations; as su ...

Wildfire response planning is limited by the lack of high-resolution data for use in wildfire prediction. Wildfire models depend on many variables, including weather, topography, vegetation type and arrangement, fuel moisture content, and regional fire prevention measures, among others. Some of these variables are static or nearly so, but some of these are highly dynamic. In particular, live fuel ...

Research conducted in Phase I identified a range of data sources providing vehicle related information to consumers shopping around or interested in knowing more about vehicles. Majority of the commercial data sources focused on vehicle features, new/used/CPO pricing, and vehicles listings. Such data sources lacked safety as their central focus, which is a concern for U.S. Department of Transporta ...

Synoptic approach to harmonize discrete data streams in application development 3/20/2018 Purchasing a new or used vehicle can be an exciting, but overwhelming experience. Numerous websites contain information on vehicle safety features, makes and models, cost, history, recalls, and crash and repair records. This large amount of data and its dispersed nature makes for a daunting consumer expe ...