Processing Remotely Sensed Data For Industrial-Mineral Prospecting

- Organization:
- Society for Mining, Metallurgy & Exploration
- Pages:
- 2
- File Size:
- 150 KB
- Publication Date:
- Jan 1, 1999
Abstract
The Front Range Infrastructure Resources Project (FRIRP) of the U.S. Geological Survey (USGS) is currently using Landsat Thematic Mapper? and air- borne-visible-infrared-imaging-spectrometer (AVIRIS) data along with planned thermal-infrared data and interferometry-synthetic-aperture radar (IFSAR) data to assess the industrial-minerals quality and quantity along the Colorado-Wyoming Front Range Urban Corridor and to characterize surrounding areas. Landsat? satellite data show synoptic views of the corridor, which may readily be used to identify potential regions of permissible terrain, such as river drain-ages, pediment surfaces, upturned lithology, and bed- rock exposures, where various types of deposits may occur. Descriptive models of these deposit types are used to define the physical features that need to be recognized and characterized. In the case of Landsat? data, the measured light is either reflected or partly absorbed by surface materials, depending on the wave- length of the light, which allows coarse mineral classifications to be made.
Citation
APA:
(1999) Processing Remotely Sensed Data For Industrial-Mineral ProspectingMLA: Processing Remotely Sensed Data For Industrial-Mineral Prospecting. Society for Mining, Metallurgy & Exploration, 1999.