USGS Submissions

Remote Sensing Missions & Data

Standard Forest Metrics from USGS 3DEP Lidar

Submitted by atripp on

The USGS 3D Elevation Program (3DEP) is managing the acquisition of lidar data across the Nation for high-resolution mapping of the land surface, which is useful for multiple applications. While lidar data are available for many Department of the Interior (as well as other Federal) lands in the U.S., these data are underutilized for vegetation analyses, partly due to the lack of local personnel and software capable of processing and analyzing lidar data.

Remote Sensing Users

National Land Imaging Program Requirements, Capabilities and Analysis Activities

Submitted by atripp on

The USGS National Land Imaging Program (NLIP) has built a long-term capacity to collect and analyze land imaging user requirements to advance the Nation’s operational and science objectives and better serve the land imaging community. The USGS documents the land imaging requirements of U.S.

Using Imagery to Crowdsource The National Map

Submitted by atripp on

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.

Restoration

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

Submitted by atripp on

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

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.

Water