Hyperspectral

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.

Moon in Color

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

Color views of the Moon have revealed substantial distributions of water on the lunar surface in the form of molecules trapped in minerals.  This discovery has fundamentally changed the prevailing view of the Moon as a sterile object. The USGS is supporting further analyses of lunar water by producing a high-precision cartographic mosaic from data collected by the NASA Moon Mineralogy Mapper (M3) instrument. These products include geodetically controlled, near-global maps of the lunar surface in visible to near-infrared wavelengths.

Remote Sensing of Winter Cover Crop Performance

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

In the Chesapeake Bay Watershed, the use of winter cover crops on agricultural land has been identified as a priority conservation practice for improving soil health and reducing the loss of nutrients and sediment from farmland. Winter cover crops (such as rye, barley, wheat, and radish) are planted in the fall, following the harvest of summer row crops (such as corn, soybean, vegetables). The cover crops are typically killed the following spring to release nutrients for the subsequent cash crop.

Mojave Desert Soils and Sediments Project

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

The BLM/USGS Mojave Desert soils and sediments project is investigating the mineralogy of the Clark Mountain Range, California, for associations of minerals with human health concerns and economic importance.  Soils, rock lithology, and dry lake surfaces are well exposed for mapping using image spectrometer data.  These lands have a wide variety of surface materials that are identifiable using spectral features unique to each mineral.  Mineral suites are directly relatable to mineral resources, such as rare earth deposits, hydrothermal systems, and evaporate (gypsum) dry lake deposits.  Hum