Automated Detection of Wildlife Targets in Aerial Imagery

Submitted by atripp on Thu, 06/17/2021 - 15:16

The USGS is advancing the development of machine learning algorithms to detect and classify seabirds, waterfowl, and other marine wildlife from digital aerial imagery in collaboration with Bureau of Ocean Energy Management, U.S. Fish and Wildlife Service, and the Vision Group at the International Computer Science Institute.

Using Machine Learning Approaches to Water Presence in Streams

Submitted by atripp on Wed, 06/16/2021 - 11:28

The presence of water in streams can serve as an indicator for potential droughts. The National Hydrography Dataset (NHD) is the most comprehensive dataset of surface waters in the United States and supports a broad range of applications. The streams mapped in the NHD are classified by streamflow permanence into classes of perennial, intermittent, or ephemeral.

3D Topobathymetric Digital Elevation Model for Lake Powell Storage Capacity Assessment

Submitted by atripp on Wed, 06/16/2021 - 10:45

To support the modeling of the Colorado River water storage area capacity tables by the USGS Utah Water Science Center, the USGS Earth Resources Observation and Science (EROS) Center created a three-dimensional (3D) high-resolution topobathymetric digital elevation model (TBDEM) for Lake Powell, the second largest man-made reservoir in the United States.

Using Imagery to Crowdsource The National Map

Submitted by atripp on Tue, 06/15/2021 - 14:42

The National Map Corps (TNMCorps), a crowdsourced mapping project, relies on volunteers to assist the USGS National Geospatial Program by collecting and editing man-made structures data for The National Map. Through their participation, volunteers make important contributions to the USGS’s ability to provide the Nation with accurate mapping information.

Subsurface Geophysical Mapping Using Airborne Electromagnetics

Submitted by atripp on Tue, 06/15/2021 - 14:15

While the growing abundance of remote sensing platforms has dramatically improved the ability to measure the Earth’s surface, research into the subsurface remains hindered by data scarcity. Borehole and well data, where available, represent invaluable but spatially limited windows into geologic and hydrogeologic conditions, and it can be difficult to assess variability between these points.

Alaska Statewide Interferometric Synthetic Aperture Radar (InSAR) Elevation Data and Satellite Imagery Status

Submitted by atripp on Wed, 06/09/2021 - 14:09

The USGS 3D Elevation Program (3DEP) effort to acquire new statewide Alaska elevation data is complete. The overall goal of 3DEP is to complete acquisition of the first-ever national baseline of consistent high-resolution elevation data—both bare-earth and three-dimensional point clouds—collected in a timeframe of less than a decade.