Remote Sensing Techniques for characterizing Energy Resources in Waste

Light Detection and Ranging (LiDAR) Elevation Point Cloud

Light Detection and Ranging (LiDAR) Elevation Point Cloud

• High spatial resolution elevation point cloud

• Extract surface features and DEM from point cloud

• Use to estimate volumes of mine waste and physical features of waste piles and pits

Worldview-3 (WV3) High Resolution Multi-spectral Data

Worldview-3 (WV3) High Resolution Multi-spectral Data

WV3:

• Is multispectral and collects reflected solar radiation detected by 16 wavelength bands

• Image pixels produce a spectral profile, which can be used to determine composition of materials by that pixel

• Is a commercial spaceborne satellite imager

Science Center Objects

Funded by the USGS Energy Resource Program “Shark Tank” grant. The goal of this project is to develop a method to use remotely collected satellite and airborne data to ascertain the quantity and quality of waste at abandoned uranium mines to better estimate the resource potential, identify abandoned mines and explore potential applications to other energy resources.  This is a collaborative effort between the Energy Resources Program, the Mineral Resources Program, the Texas Water Science Center at the USGS.