The U.S. Geological Survey (USGS) is both a user and a provider of remotely sensed data. The USGS manages the Landsat satellite series and a Web-enabled archive of global Landsat imagery dating back to 1972. Landsat represents the world’s longest continuously acquired collection of space-based moderate-resolution land remote sensing data and the entire archive became available for download at no charge in December 2008. The USGS also distributes aerial photography through The National Map, and archives and distributes historical aerial photography, light detection and ranging (lidar) data, declassified imagery, hyperspectral imagery, data collected by Unmanned Aircraft Systems, and imagery from a variety of government, foreign, and commercial satellites. These data are used for a wide variety of applications such as mineral resource development, monitoring the health of U.S. and global ecosystems, land use change, emergency response, and assessments of natural hazards such as fires, hurricanes, earthquakes, droughts, and floods.

Bureau Full Name
U.S. Geological Survey

Landsat-based Water Use Mapping on a Cloud Computing Platform

Submitted by atripp on Tue, 12/11/2018 - 14:06

Innovative cloud computing resources for remote sensing science have enabled advanced capabilities and analysis for solving complex large-scale data gap challenges within the USGS Water Availability and Use Science Program. With a vision for water budget estimation for the entire Nation, this research program integrates big data research and development into model applications, evaluation, and results.

Hydrologic Impacts of Irrigation Curtailment in the Upper Klamath Basin

Submitted by atripp on Tue, 12/11/2018 - 14:01

Meeting demand for agricultural water use and ecosystems has become a challenge for the Upper Klamath Basin, which stretches across southern Oregon and northern California. This basin is home to several threatened and endangered species and to more than 200,000 acres of irrigation land on the Bureau of Reclamation’s (BOR) Klamath Project.

Remote Sensing of Tracer Dye Concentrations in Rivers

Submitted by atripp on Tue, 12/11/2018 - 13:51

The flow of water in a river channel redistributes various materials, including organisms and pollutants, through a process called dispersion.  Understanding this mechanism is critical for applications ranging from species conservation to hazardous waste management.  Tracer tests with a visible dye are often used to study dispersion, typically by measuring dye concentration directly in the field at a few fixed locations.

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.

A Long-term Sediment Budget for a Rapidly Eroding Mined Landscape

Submitted by atripp on Tue, 12/11/2018 - 11:41

Archival aerial stereo-photographs are a source of information that can be used to create historical topography models for rapidly changing landscapes. Researchers completed a pilot study in Malakoff Diggins State Historic Park (MDSHP), which was once the largest hydraulic mine (1.6 square kilometers) in the Sierra Nevada of California. Legacy impacts in these mined landscapes include remnant steep exposures of highly erodible Eocene-aged auriferous sediments.

Bottomland Hardwood Restoration Monitoring

Submitted by atripp on Tue, 12/11/2018 - 09:48

Vegetation growth is important to monitor in areas undergoing restoration. Color imagery collected using an unmanned aircraft system (UAS) at a bottomland hardwood restoration site in northeast Indiana was used to derive a vegetation height model using Structure from Motion (SfM) image processing. Data from that model were then compared to vegetation height data collected in field plots.