GINA is a mechanism within the University of Alaska (UA) for sharing data and technical capacity among Alaskan, Arctic, and world communities.
Established in 2001 as an initiative of UA’s President, GINA promotes collaboration at the local, state, and federal levels by increasing community-wide participation in the discovery and use of geospatial data. GINA’s products and services greatly expand the range of available analysis capabilities in order to better address research and management requirements.
|Spring is in the Air|
Posted 14 days ago
With days getting longer and daily high temperatures tending to occur in the afternoons as opposed to at random hours day or night, spring breakup in Alaska cannot be far away. GINA receives satellite data from the Visible Infrared Imaging Radiometer Suite (VIIRS), and this data is then turned into several kinds of satellite imagery useful for the National Weather Service (NWS).
One such product, shown below, is designed to highlight floods associated with spring breakup. This is a screen capture from the NWS’ operational workstation at the River Forecast Center in Anchorage. The big image is derived from GINA’s VIIRS data. Since Alaska is still mostly covered with snow, this product is still mostly white. But as the snow melts, the white will recede, and any overland flooding will be shown in hot colors ranging from yellow to fire-engine red.
Get your breakup boots out of the closet and stand by for further updates as Spring Breakup 2017 gets underway.
GINA receives numerous geospatial data sets, many in real time. Information is then rapidly processed and managed for use by scientiﬁc researchers, state and federal agencies, and the general public.
GINA is involved with many Alaskan, Arctic and International projects. Our goal is to increase community-wide participation in the discovery and sharing of geospatial data.
GINA teams with partner institutions and agencies to create information products and services that are used in a variety of projects to better display and understand spatial information.