AndreaBozzo/ceres-open-data-index huggingface dataset:
Structural Orientations Adjacent to Some Colorado Geothermal Systems

Structural orientations (fractures, joints, faults, lineaments, bedding orientations, etc.) were collected with a standard Brunton compass during routine field examinations of geothermal phenomena in Colorado. Often multiple orientations were taken from one outcrop. Care was taken to ensure outcrops were "in place". Point data was collected with a hand-held GPS unit. The structural data is presented both as standard quadrant measurements and in format suitable for ESRI symbology


Tags: arcgis, bedding-orientation, colorado, data, faults, fractures, geology, geospatial, geospatial-data, geothermal, gis, lineaments, shape-file, shapefile, structure
Organization: Department of Energy
Analysis of Existing InSAR Data Brady Hot Springs Geothermal Area

Attributes of synthetic aperture radar (SAR) data acquired by TerraSAR-X and TanDEM-X satellite missions and archived at WInSAR facility.


Tags: brady, brady-geothermal, brady-hot-springs, geothermal, insar, interferometric, porotomo, radar, sar, satellite, synthetic-aperture, synthetic-aperture-radar, tandem-x, terrasar-x, western-north-america, winsar
Organization: Department of Energy
Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Alamosa and Saguache Counties, Colorado

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. Areas that had temperature greater than 2o were considered ASTER modeled "very warm modeled surface temperature" are shown in red on the map.  Areas that had temperatures between 1o and 2o were considered ASTER modeled "warm modeled surface temperature" are shown in yellow on the map. 

This map also includes the locations of shallow temperature survey points, locations of springs or wells with favorable geochemistry, faults, transmission lines, and areas of modeled basement weakness "fairways."

Note: 'o' is used in this description to represent lowercase sigma.


Tags: alamosa-county, aster, colorado, geothermal, map, remote-sensing, saguache-county, surface-temperature-anomalies, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Archuleta County

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. Areas that had temperature greater than 2o were considered ASTER modeled "very warm modeled surface temperature" are shown in red on the map.  Areas that had temperatures between 1o and 2o were considered ASTER modeled "warm modeled surface temperature" are shown in yellow on the map. 

This map also includes the locations of shallow temperature survey points, locations of springs or wells with favorable geochemistry, faults, transmission lines, and areas of modeled basement weakness "fairways."

Note: 'o' is used in this description to represent lowercase sigma.


Tags: archeluta-county, aster, colorado, geothermal, map, remote-sensing, surface-temperature-anomalies, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Dolores County

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. Areas that had temperature greater than 2o were considered ASTER modeled "very warm modeled surface temperature" are shown in red on the map.  Areas that had temperatures between 1o and 2o were considered ASTER modeled "warm modeled surface temperature" are shown in yellow on the map. 

This map also includes the locations of shallow temperature survey points, locations of springs or wells with favorable geochemistry, faults, transmission lines, and areas of modeled basement weakness "fairways."

Note: 'o' is used in this description to represent lowercase sigma.


Tags: aster, colorado, dolores-county, geothermal, map, remote-sensing, surface-temperature-anomalies, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Fremont County, Colorado

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. Areas that had temperature greater than 2o were considered ASTER modeled "very warm modeled surface temperature" are shown in red on the map.  Areas that had temperatures between 1o and 2o were considered ASTER modeled "warm modeled surface temperature" are shown in yellow on the map. 

This map also includes the locations of shallow temperature survey points, locations of springs or wells with favorable geochemistry, faults, transmission lines, and areas of modeled basement weakness "fairways."

Note: 'o' is used in this description to represent lowercase sigma.


Tags: aster, colorado, fremont-county, geothermal, map, remote-sensing, surface-temperature-anomalies, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Identifying and Delineating Thermally Active Areas in Colorado Using Thermal Remote Sensing Data

This report outlines the approach and methodology of the utilization of thermal satellite imagery to find areas of warm ground that might indicate heat flow from a buried geothermal system. The satellite platforms, modeling equations and corrections to the data are discussed. Some specific findings from the survey are shown, together with conclusions.

Tags: aster, cires, colorado, deep-resource-wells, geothermal, geothermal-potential, identify, potential, remote-sensing, target-areas, thermal-imagery
Organization: Department of Energy
Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Routt County, Colorado

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. Areas that had temperature greater than 2o were considered ASTER modeled "very warm modeled surface temperature" are shown in red on the map.  Areas that had temperatures between 1o and 2o were considered ASTER modeled"warm modeled surface temperature" are shown in yellow on the map. 

This map also includes the locations of shallow temperature survey points, locations of springs or wells with favorable geochemistry, faults, transmission lines, and areas of modeled basement weakness "fairways."

Note: 'o' is used in this description to represent lowercase sigma.


Tags: aster, colorado, geothermal, map, remote-sensing, routt-county, surface-temperature-anomalies, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, San Miguel County, Colorado

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. Areas that had temperature greater than 2o were considered ASTER modeled "very warm modeled surface temperature" are shown in red on the map.  Areas that had temperatures between 1o and 2o were considered ASTER modeled "warm modeled surface temperature" are shown in yellow on the map. 

This map also includes the locations of shallow temperature survey points, locations of springs or wells with favorable geochemistry, faults, transmission lines, and areas of modeled basement weakness "fairways."

Note: 'o' is used in this description to represent lowercase sigma.


Tags: aster, colorado, geothermal, map, remote-sensing, san-miguel-county, surface-temperature-anomalies, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Memos Relating to 2011 Field Checking of CIRES ASTER Thermal Targets

In 2010 and 2011, Flint Geothermal commissioned CIRES from the University of Colorado to attempt to detect "blind" or buried geothermal systems using remote sensing. CIRES utilized thermal infrared bands from ASTER and LANDSAT satellite imagery to detect areas of warm ground in parts of Colorado. During the summers of 2011 and 2012, geologists from Geothermal Development Associates of Reno Nevada performed "ground truthing" or site assessments on a number of these thermal targets, as well as known geothermal systems at or near the targets. This dataset consists of a number of memos from CIRES and GDA describing the thermal targets and fieldwork performed at them.

Tags: aster, blind-geothermal-systems, buried-geothermal-systems, colorado, geothermal, landsat, remote-sensing, site-assessment, thermal-infrared
Organization: Department of Energy
Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Northern Saguache County, Colorado

This map shows areas of anomalous surface temperature in northern Saguache Counties identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. 

Areas having anomalous temperature in the ASTER data are shown in blue diagonal hatch, while areas having anomalous temperature in the LANDSAT data are shown in magenta on the map. Thermal springs and areas with favorable geochemistry are also shown. Springs or wells having non-favorable geochemistry are shown as blue dots.


Tags: aster, colorado, geothermal, landsat, map, remote-sensing, sanguache-county, surface-temperature-anomalies, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data around Pinkerton Hot Springs, Colorado

This map shows areas of anomalous surface temperature in northern Saguache Counties identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. 

Areas having anomalous temperature in the ASTER data are shown in blue diagonal hatch, while areas having anomalous temperature in the LANDSAT data are shown in magenta on the map. Thermal springs and areas with favorable geochemistry are also shown. Springs or wells having non-favorable geochemistry are shown as blue dots.


Tags: aster, colorado, geothermal, landsat, map, pinkerton, remote-sensing, surface-temperature-anomalies, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Northwest Delta, Colorado

This map shows areas of anomalous surface temperature in northern Saguache Counties identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. 

Areas having anomalous temperature in the ASTER data are shown in blue diagonal hatch, while areas having anomalous temperature in the LANDSAT data are shown in magenta on the map. Thermal springs and areas with favorable geochemistry are also shown. Springs or wells having non-favorable geochemistry are shown as blue dots.


Tags: aster, colorado, delta-county, geothermal, landsat, map, remote-sensing, surface-temperature-anomalies, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Ouray, Colorado

This map shows areas of anomalous surface temperature in Ouray identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. 

Areas having anomalous temperature in the ASTER data are shown in blue diagonal hatch, while areas having anomalous temperature in the LANDSAT data are shown in magenta on the map. Thermal springs and areas with favorable geochemistry are also shown. Springs or wells having non-favorable geochemistry are shown as blue dots.


Tags: aster, colorado, geothermal, landsat, map, ouray, remote-sensing, surface-temperature-anomalies, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data around South Canyon Hot Springs, Garfield County, Colorado

This map shows areas of anomalous surface temperature around South Canyon Hot Springs as identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. 

Areas having anomalous temperature in the ASTER data are shown in blue diagonal hatch, while areas having anomalous temperature in the LANDSAT data are shown in magenta on the map. Thermal springs and areas with favorable geochemistry are also shown. Springs or wells having non-favorable geochemistry are shown as blue dots.


Tags: aster, colorado, garfield-county, geothermal, landsat, map, remote-sensing, south-canyon-hot-springs, surface-temperature-anomalies, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Southwest Steamboat Springs, Garfield County, Colorado

This map shows areas of anomalous surface temperature around south Steamboat Springs as identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. 

Areas having anomalous temperature in the ASTER data are shown in blue diagonal hatch, while areas having anomalous temperature in the LANDSAT data are shown in magenta on the map. Thermal springs and areas with favorable geochemistry are also shown. Springs or wells having non-favorable geochemistry are shown as blue dots.


Tags: aster, colorado, geothermal, landsat, map, remote-sensing, steamboat-springs, surface-temperature-anomalies, thermal-anomalies, thermal-infrared
Organization: Department of Energy
First Priority Geothermal Target Areas as Identified by ASTER and LANDSAT Thermal Imaging of Parts of Colorado

The CIRES remote sensing unit of the University of Colorado was commissioned by Flint Geothermal LLC to identify areas of warm ground that could signify the thermal signature of "blind" geothermal systems. Using ASTER and LANDSAT data along with other characteristics considered favorable for the existence of geothermal systems, CIRES came up with a set of high-priority targets in Colorado. This Power Point presentation outlines these high-priority areas.

Tags: aster, chaffee-county, colorado, delta-county, eagle-county, garfield-county, geothermal, landsat, park-county, potential-sites, remote-sensing, routt-county, thermal-infrared
Organization: Department of Energy
CIRES Approach Overview to Using Thermal Infrared Imagery to Find Geothermal Systems in Colorado

Subsurface geothermal activity has a thermal expression that can be observed at the surface.  Such spatial temperature gradients are within the radiometric resolution that is characteristic of a wide range of satellites that carry thermal sensors.  For this effort, CIRES (part of the University of Colorado) used a hierarchical approach in which we examined data from Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) onboard Landsat platforms and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) aboard the Terra satellite to digitally model warm surface exposures. Geological characteristics such as faulting and other available datasets for known thermally active areas in Colorado were used in conjunction with the satellite thermal imagery to rank potential areas of geothermal activity.

Tags: aster, cires, colorado, deep-resource-wells, geothermal, geothermal-potential, identify, landsat, potential, remote-sensing, target-areas, thermal-infrared
Organization: Department of Energy
Geothermal Geodatabase for Rico Hot Springs Area and Lemon Hot Springs, Dolores and San Miguel Counties, Colorado

This geodatabase was built to cover several geothermal targets developed by Flint Geothermal in 2012 during a search for high-temperature systems that could be exploited for electric power development. Several of the thermal springs have geochemistry and geothermometry values indicative of high-temperature systems. In addition, the explorationists discovered a very young Climax-style molybdenum porphyry system northeast of Rico, and drilling intersected thermal waters at depth.

Datasets include:
1.	Structural data collected by Flint Geothermal
2.	Point information
3.	Mines and prospects from the USGS MRDS dataset
4.	Results of reconnaissance shallow (2 meter) temperature surveys
5.	Air photo lineaments
6.	Areas covered by travertine
7.	Groundwater geochemistry
8.	Land ownership in the Rico area
9.	Georeferenced geologic map of the Rico Quadrangle, by Pratt et al.
10.	Various 1:24,000 scale topographic maps


Tags: air-photo-lineaments, colorado, data, dolores-county, geochemistry, geodatabase, geologic-map, geology, geospatial-data, geothermal, geothermometry, gis, groundwater, land-ownership, map, mines-and-prospects, point-information, reconnaissance, rico, rico-quadrangle, san-miguel-county, shallow-temperature-survey, structural, topographic, travertine
Organization: Department of Energy
Geothermal Geodatabase for Routt Hot Springs, Routt County, Colorado

This geodatabase was built to cover several geothermal targets developed by Flint Geothermal in 2012 during a search for high-temperature systems that could be exploited for electric power development. Several of the thermal springs and wells in the Routt Hot Spring and Steamboat Springs areahave geochemistry and geothermometry values indicative of high-temperature systems. 

Datasets include:

1.	Results of reconnaissance shallow (2 meter) temperature surveys
2.	Air photo lineaments
3.	Groundwater geochemistry
5.	Georeferenced geologic map of Routt County
6.	Various 1:24,000 scale topographic maps


Tags: air-photo-lineaments, colorado, geochemistry, geologic-map, geology, geothermal, geothermometry, groundwater, map, reconnaissance, routt-county, routt-hot-springs, shallow-temperature-survey, strawberry-park-hot-springs, topographic-map
Organization: Department of Energy