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TIRILO-1, Thermal Infrared Information Layer for Oregon, release 1, compiled by Clark A. Niewendorp.
Remotely sensed thermal infrared (TIR) imagery has been used in geothermal exploration for decades both as airborne and satellite based imagery to look for warm ground and thermal features. The goal with this project was to test whether TIR data with very high spatial resolution and accuracy could be used to identify warm springs or ground that was only slightly warmer than background levels. The other unique aspect of this study was combining high resolution lidar topographic imagery with TIR imagery.
(Mosaics of thermal infrared images of the five flight areas in portions of Lake, Harney, and Malheur Counties, Oregon can be downloaded from the page:
Geothermal Information for Oregon (GTILO-2), Download Data)
This digital data release includes thermal infrared (TIR) intensity images, image-frames rectified, native image frames, and thermal infrared mosaics. Lidar data were co-acquired and include bare-earth and highest-hit data with metadata; shp files of 7.5-minute U.S. Geological Survey (USGS) quadrangles of Oregon, 1/100th USGS quadrangles of Oregon. Lidar ASCII point data are available in LAS format. The lidar imagery was collected to help accurately georeference the TIR data and to provide a detailed and accurate paired basemap for analysis of the thermal imagery. All data are format specific to Esri format. Data must be viewed using specialty software capable of viewing .shp, geotif, and Esri grid formats.
These data are provided “as is” without warranty of any kind, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The user assumes all responsibility for the accuracy and suitability of these data for a specific application. In no event will DOGAMI be liable for any damages, including lots profits, lost savings, or other incidental or consequential damages arising from the use or inability to use the data.
The work to create the data provided in this publication was funded under the National Geothermal Data System (NGDS) project from the U.S. Energy Department’s (USDoE) Geothermal Technologies Program through the Arizona Geological Survey for new geothermal data collection.