Hyperspectral

Sustainable Land Imaging User Needs

Submitted by atripp on Fri, 04/03/2020 - 08:50

Landsat satellites have been operating since 1972, providing the longest continuous observation record of the Earth’s land surface. Over the past half century, the Landsat user community has grown exponentially, encompassing more diverse and evolving scientific research and operational uses. Understanding current and future user needs is crucial to informing the design of Landsat missions beyond Landsat 9.

Near-field Remote Sensing of Streamflow in Alaska

Submitted by atripp on Tue, 12/11/2018 - 11:52

The USGS presently operates 102 streamgaging stations distributed throughout Alaska. As many of these stations are quite remote, considerable effort is needed to collect periodic measurements and maintain gages. Thus, developing remote sensing methods for measuring streamflow in this vast, largely inaccessible State is valuable for many reasons.

Satellite Data for Offshore Air Quality Applications

Submitted by atripp on Fri, 11/30/2018 - 13:53

BOEM is working with the National Aeronautics and Space Administration (NASA) Atmospheric Chemistry and Dynamics Laboratory at Goddard Space Flight Center to assess the probability of using satellite data for air quality applications, specifically through the estimation and monitoring of offshore ground level concentrations of pollutants and through improvements and

Cyanobacteria Assessment Network (CyAN)

Submitted by Anonymous (not verified) on Mon, 07/30/2018 - 14:12

Harmful algal blooms (HABs) are increasingly a global concern because they pose a threat to human and aquatic ecosystem health and cause economic damage. The most frequent and severe HABs in lakes and reservoirs are caused by cyanobacteria (CyanoHABs), the only freshwater algae that can produce toxins potent enough to adversely affect the health of humans, pets, livestock, and wildlife. Information about potential for exposure, such as bloom duration, frequency, and extent, is critical for effective management decisions, especially during periods of limited resources and funding.

Hyperspectral Remote Sensing to Characterize Mineral Resources in Alaska

Submitted by Anonymous (not verified) on Mon, 07/30/2018 - 14:12

Alaska is a major producer of base and precious metals and has a high potential for additional undiscovered mineral resources. However, discovery is hindered by Alaska’s vast size, remoteness, and rugged terrain. Hyperspectral remote sensing is one method that can be used to rapidly acquire data about the distributions of surficial materials, including different types of bedrock and ground cover.