Principal Investigator: Dr. John Stryjewski
Affiliation: Vision Engineering Solutions
Test a novel approach to track spacecraft, debris, and objects that have little to no radar cross-section (for collision avoidance in future satellite and commercial spacecraft applications). 

Principal Investigator: Robert Carlson
Affiliation: JAMSS America, Inc.
Global Receive Antenna and Signal Processor (GRASP) is an enabling technology facility that provides affordable recovery of terrestrial radio frequency (RF) data using the ISS. Remote RF data is vital to commercial entities, governmental entities, and the research community for reasons as diverse as tracking ships at sea, studying animal migrations, improving agricultural yields, and monitoring the health of assets and health of the environment. The GRASP facility consists of an internally-mounted signal processing unit and an externally-mounted nadir-pointing antenna array. A key feature of GRASP is that it can be simultaneously used by multiple users, each targeting unique frequencies of interest. The GRASP facility on the ISS will increase access to and use of terrestrial RF signal data, which is currently constricted due to limited access to and high cost associated with recovering terrestrial RF signals using satellites.

Principal Investigator: Bill Corley
Affiliation: Teledyne Brown Engineering
Multi-User System for Earth Sensing (MUSES) is an Earth-observing, precision pointing platform for deployment and full operations onto the ISS. Launching in 2015, MUSES will host up to four instruments simultaneously and offer the ability to change, upgrade, and robotically service those instruments. The Teledyne Telescience Support Center (TSC) will provide instructions for platform pointing, instrument operations, and data downlink, as well as data processing and archiving.

Principal Investigator: Dr. Robert Shuchman
Affiliation: Michigan Technological University
Collaborative project with Richard Becker using HICO data to develop algorithms for monitoring water quality and algal species in the Great Lakes, with one project (Dr. Richard Becker) to focus on Lake Erie. Results may influence assessment of Great Lakes ecosystem and drinking/recreational water sources and aid in determining the extent of algal blooms that pose health risks in this region.

Principal Investigator: Fred Huemmrich
Affiliation: University of Maryland Baltimore County
Use HICO to monitor behavior (carbon fluxes and efficiency of light use) of terrestrial vegetation under varying environmental conditions. Results should improve understanding of ecosystem responses to environmental stress; for example, in the context of agriculture and forestry.

Principal Investigator: Dr. Richard Becker
Affiliation: University of Toledo
Collaborative project with Robert Shuchman using HICO data to develop algorithms for monitoring water quality and algal species in the Great Lakes, with one project (Becker) to focus on Lake Erie. Results may influence assessment of Great Lakes ecosystem and drinking/recreational water sources and aid in determining the extent of algal blooms that pose health risks in this region.

Principal Investigator: Burgess Howell
Affiliation: Disaster Relief Charter; NASA Marshall Space Flight Center
ISS SERVIR Environmental Research and Visualization System (ISERV) is an automated system designed to acquire images of the Earth’s surface from the International Space Station (ISS). It is primarily a means to gain experience and expertise in automated data acquisition from the ISS, although it is expected to provide useful images for use in disaster monitoring and assessment, and environmental decision making.

Principal Investigator: Ann Kapusta
Affiliation: ThinkSpace
ThinkSpace Consulting, in collaboration with Google, proposes to collect full 360-degree imagery of the internal area of the ISS. The project will use existing on-orbit resources to create this commercial product, requiring no additional hardware items to be launched.

Principal Investigator: Dr. Paul Joss
Affiliation: Visidyne, Inc.
This project seeks to improve intensity measurements, and subsequently, path predictions of strong tropical cyclones (also known as hurricanes or typhoons) through improved modeling using a measurement technique from the low Earth orbit vantage point of the ISS. Improving intensity measurements requires accurate measurements of the altitude of eyewall clouds (the clouds surrounding the eye of a storm). For tropical cyclones of interest, a camera is mounted on a selected Cupola window and programmed to capture high-resolution exposures of the storm. The resulting sequence of digitally processed images allows Visidyne to develop algorithms necessary to determine the altitude of the eyewall clouds in a storm.