Award Data

Greenhouse gas (GHG) emissions are primary drivers of global climate change. Hence there is a crucial need to quantify their sources and sinks. A powerful method to constrain source and sink strengths is the analysis of the relative proportions of isotopic variants of GHG’s in atmospheric samples like those collected globally by NOAA’s Cooperative Air Sampling Network. Measurements that are ca ...

During the Phase I program, Aurora conducted a comprehensive survey of potential platforms that included government owned and furnished UAVs and manned aircraft as well as Aurora’s Centaur Optionally Piloted Aircraft (OPA). The survey concluded, in part, that UAVs offer a significant improvement in data collection capability when compared to manned aircraft that are currently fielded by NOAA. ...

A preliminary design of a mobile receiver system for intra-cloud lightning detection, mapping, and tracking was completed and analyzed during the Phase I program. The direction-finding (DF) receiver design is small enough for use on small UAVs and utilizes the full VHF spectrum. The lightning Mapping Unmanned Sensor (LITMUS) design will be finalized, fabricated, assembled, and demonstrated durin ...

There are currently no inexpensive, expendable air-deployed monitoring systems (Dropsondes) that measure atmospheric data and oceanographic as a function of depth. These are important data in predicting the intensity and path of hurricanes. Boston Engineering proposes to provide NOAA with a solution to this challenge with the Multi-Purpose Above Surface/Below Surface Expendable Dropsonde (MASED) p ...

Domestic US aquaculture is moving toward fishmeal replacement in aquafeeds with a variety of alternative protein sources including plant-based, terrestrial and marine proteins. In our Phase I work we showed the feasibility of modifying the protein quality of several alternate protein sources, specifically animal byproduct meals, and its potential significant impacts on marine fish production. Th ...

We propose to develop a system that can automatically detect, track, measure, and classify fish seen in video collected by stationary underwater cameras. Our approach makes use of a novel method for detecting motion that can mitigate false alarms due to swaying underwater vegetation. We propose a novel technique for tracking the fish in three spatial dimensions allowing for improved knowledge of ...

Toyon proposes development of a system which performs automated analysis of images for fish population monitoring and fishing regulation enforcement application. The proposed system is capable of processing images collected from autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs), as well as images collected using electronic monitoring (EM) cameras used to observe fish catc ...