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OSM | 2017
Underground coal mine fires are widespread and pose a threat to both human and environmental health that can result in large economic loss, but they are generally underreported. Traditional mapping…
OSM | 2017
OSMRE has been piloting the use of drone vehicles since 2011 to document and monitor reclamation activities. Applied remote sensing is a priority for the OSMRE Appalachian Region and the use of…
OSM | 2017
OSMRE is using a RIEGL terrestrial lidar scanner to collect highly detailed elevation data for documenting restoration activities on the landscape. The RIEGL unit is mounted onto a tripod and emits…
OSM | 2012
OSM partnered with the USGS to investigate the use of Small Unmanned Aerial Vehicles (SUAV) to assist States with a more efficient and effective means of conducting oversight investigations of both…
OSM | 2012
OSM’s Technical Innovation and Professional Services (TIPS) Program provides off-the-shelf scientific and engineering software, customized software training, and technical assistance to its…
OSM | 2012
A digital surface model (DSM) derived from WorldView-1 satellite imagery was used as supporting information in a court case dealing with an approximate original contour (AOC) dispute between OSM and…
OSM | 2012
The State of New Mexico Abandoned Mine Lands Program used terrestrial light detection and ranging (lidar) data to support an engineering project in Silver City. The project involved evaluating…
OSM | 2012
The State of New Mexico Abandoned Mine Land Program is exploring remote sensing techniques to monitor land cover change over time. High-resolution satellite images and aerial photography in…
OSM | 2012
Mining Coal Basin Mine deposits in Pitkin County, Colorado, began in 1895 and continued until 1908 when production ceased for many years. Mid-continent Resources began producing coking coal at the…
OSM | 2011
Satellite imagery provides a relatively inexpensive tool to monitor and assess vegetation regrowth over time, and thus, was identified as an added benefit to the VIP method. Imagery can…
OSM | 2011
With supporting field work, satellite imagery is ideal for mapping vegetation community types for large areas. As in vegetation cover mapping, image classification techniques can be used to…