AndreaBozzo/ceres-open-data-index huggingface dataset:
Shallow (2-meter) Temperature Surveys in Colorado

Shallow temperature surveys are useful in early-stage geothermal exploration to delineate surface outflow zones, with the intent to identify the source of upwelling, usually a fault. Detailed descriptions of the 2-meter survey method and equipment design can be found in Coolbaugh et al. (2007) and Sladek et al. (2007), and are summarized here.

The survey method was devised to measure temperature as far below the zone of solar influence as possible, have minimal equilibration time, and yet be portable enough to fit on the back of an all-terrain vehicle (ATV); Figure 2). This method utilizes a direct push technology (DPT) technique where 2.3 m long, 0.54" outer diameter hollow steel rods are pounded into the ground using a demolition hammer. Resistance temperature devices (RTD) are then inserted into the rods at 2-meter depths, and allowed to equilibrate for one hour. The temperatures are then measured and recorded, the rods pulled out of the ground, and re-used at future sites. Usually multiple rods are planted over the course of an hour, and then the sampler returns back to the first station, measures the temperatures, pulls the rods, and so on, to eliminate waiting time.

At Wagon Wheel Gap, 32 rods were planted around the hot springs between June 20 and July 1, 2012. The purpose was to determine the direction of a possible upflow fault or other structure. Temperatures at 1.5m and 2m depths were measured and recorded in the attribute table of this point shapefile. Several anomalous temperatures suggest that outflow is coming from a ~N60W striking fault or shear zone that contains the quartz-fluorite-barite veins of the adjacent patented mining claims.

It should be noted that temperatures at 2m depth vary according to the amount of solar heating from above, as well as possible geothermal heating from below.


Tags: anomaly-detection, arcgis, colorado, data, exploration, fault, fault-detection, geospatial, geospatial-data, geothermal, gis, remote-sensing, shallow-temperature-survey, shallow-temperature-surveys, shape-file, shapefile, temperature, upflow-fault
Organization: Department of Energy
Colorado Heat Flow Data from IHFC

This layer contains the heat flow sites and data of the State of Colorado compiled from the International Heat Flow Commission (IHFC) of the International Association of Seismology and Physics of the Earth's Interior (IASPEI) global heat flow database. The data include different items: Item number, descriptive code, name of site, latitude and longitude, elevation, depth interval, number of temperature data, temperature gradient, number of conductivity measurement, average conductivity, number of heat generation measurements, average heat production, heat flow, number of individual sites, references, and date of publication.


Tags: arcgis, colorado, conductivity, data, geophysics, geospatial, geospatial-data, geothermal, gis, heat-flow, heat-flow-data, heat-generation, ihfc, shape-file, shapefile, temperature, temperature-gradient, thermal-conductivity
Organization: Department of Energy
Colorado Potential Geothermal Pathways

This layer contains the weakened basement rocks. Isostatic gravity was utilized to identify structural basin areas, characterized by gravity low values reflecting weakened basement rocks. Together interpreted regional fault zones and basin outlines define geothermal "exploration fairways", where the potential exists for deep, superheated fluid flow in the absence of Pliocene or younger volcanic units.


Tags: analysis, anomaly-detection, arcgis, basement-weakness, basement-weaknesses, colorado, data, exploration, fault-detection, faults, fluid-flow, geophysics, geospatial, geospatial-data, geothermal, gravity, pfa, play-fairway, remote-sensing, shape-file, shapefile, superheated-fluid-flow, volcanic-activity
Organization: Department of Energy
Favorable Geochemistry from Springs and Wells in Colorado

This layer contains favorable geochemistry for high-temperature geothermal systems, as interpreted by Richard "Rick" Zehner. The data is compiled from the data obtained from the USGS. The original data set combines 15,622 samples collected in the State of Colorado from several sources including 1) the original Geotherm geochemical database, 2) USGS NWIS (National Water Information System), 3) Colorado Geological Survey geothermal sample data, and 4) original samples collected by R. Zehner at various sites during the 2011 field season. These samples are also available in a separate shapefile FlintWaterSamples.shp. Data from all samples were reportedly collected using standard water sampling protocols (filtering through 0.45 micron filter, etc.) Sample information was standardized to ppm (micrograms/liter) in spreadsheet columns. Commonly-used cation and silica geothermometer temperature estimates are included.


Tags: arcgis, colorado, geochemistry, geospatial, geospatial-data, geothermal, gis, hydrology, shape-file, shapefile, water-samples
Organization: Department of Energy
Remotely Sensed Thermal Anomalies in Western Colorado

This layer contains the areas identified as areas of anomalous surface temperature from Landsat satellite imagery in Western Colorado. Data was obtained for two different dates. The digital numbers of each Landsat scene were converted to radiance and the temperature was calculated in degrees Kelvin and then converted to degrees Celsius for each land cover type using the emissivity of that cover type. And this process was repeated for each of the land cover types (open water, barren, deciduous forest and evergreen forest, mixed forest, shrub/scrub, grassland/herbaceous, pasture hay, and cultivated crops). The temperature of each pixel within each scene was calculated using the thermal band. In order to calculate the temperature an average emissivity value was used for each land cover type within each scene. The NLCD 2001 land cover classification raster data of the zones that cover Colorado were downloaded from USGS site and used to identify the land cover types within each scene. Areas that had temperature residual greater than 2o, and areas with temperature equal to 1o to 2o, were considered Landsat modeled very warm and warm surface exposures (thermal anomalies), respectively.

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


Tags: anomaly-detection, arcgis, aster, colorado, data, geospatial-data, geothermal, gis, landsat, remote-sensing, satellite-imagery, shape-file, shapefile, surface-temperature, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Geothermal Target Areas in Colorado as Identified by Remote Sensing Techniques

This layer contains the areas identified as targets of potential geothermal activity. The Criteria used to identify the target areas include: hot/warm surface exposures modeled from ASTER/Landsat satellite imagery and geological characteristics, alteration mineral commonly associated with hot springs (clays, Si, and FeOx) modeled from ASTER and Landsat data, Colorado Geological Survey (CGS) known thermal hot springs/wells and heat-flow data points, Colorado deep-seated fault zones, weakened basement identified from isostatic gravity data, and Colorado sedimentary and topographic characteristics.


Tags: arcgis, colorado, data, geospatial, geospatial-data, geothermal, gis, hot-springs, remote-sensing, shape-file, shapefile, target-areas, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Areas of Anomalous Surface Temperature in Alamosa and Saguache Counties, Colorado, as Identified from ASTER Thermal Data

This layer contains 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 surface exposures (thermal anomalies)

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


Tags: alamosa-county, anomaly-detection, arcgis, aster, colorado, data, geospatial, geospatial-data, geothermal, gis, near-infrared, remote-sensing, saguache-county, shape-file, shapefile, thermal-anomalies, thermal-data, thermal-infrared
Organization: Department of Energy
Areas of Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data

This layer contains areas of anomalous surface temperature in Archuleta County 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 surface exposures (thermal anomalies).

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


Tags: anomaly-detection, arcgis, archuleta-county, aster, colorado, data, geospatial, geospatial-data, geothermal, gis, remote-sensing, shape-file, shapefile, temperature, thermal, thermal-anomalies, thermal-infrared
Organization: Department of Energy
UTM Well Coordinates for the Boise Hydrogeophysical Research Site (BHRS)

A series of oscillatory pumping tests were performed at the BHRS. The data collected from these wells will be used to tomographically image the shallow subsurface. This excel file only contains well coordinates for all wells at the Boise site. 

Tags: boise-hydrogephysical-research-site, characterization, geothermal, hydraulic-tomography, location, metadata, oscillatory, pump-test, pumping-test, subsurface, well-coordinates
Organization: Department of Energy
Areas of Anomalous Surface Temperature in Chaffee County, Colorado, as Identified from ASTER Thermal Data

This layer contains areas of anomalous surface temperature in Chaffee County 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 surface exposures (thermal anomalies).

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


Tags: arcgis, aster, chaffee-county, colorado, data, emissivity, geospatial, geospatial-data, geothermal, gis, remote-sensing, shape-file, shapefile, solar-radiation, temperature, thermal, thermal-infrared
Organization: Department of Energy
Areas of Anomalous Surface Temperature in Dolores County, Colorado, as Identified from ASTER Thermal Data

This layer contains areas of anomalous surface temperature in Dolores County 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 surface exposures (thermal anomalies).

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


Tags: anomaly-detection, arcgis, aster, colorado, data, dolores-county, geospatial, geospatial-data, geothermal, gus, remote-sensing, shape-file, shapefile, temperature, thermal, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Areas of Anomalous Surface Temperature in Garfield County, Colorado, as Identified from ASTER Thermal Data

This layer contains areas of anomalous surface temperature in Garfield County 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 surface exposures (thermal anomalies).

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


Tags: anomaly-detection, arcgis, aster, colorado, data, garfield-county, geospatial, geospatial-data, geothermal, gis, remote-sensing, shape-file, shapefile, solar-radiation, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Areas of Anomalous Surface Temperature in Routt County, Colorado, as Identified from ASTER Thermal Data

This layer contains areas of anomalous surface temperature in Routt County 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 surface exposures (thermal anomalies).

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


Tags: anomaly-detection, arcgis, aster, colorado, data, geospatial, geospatial-data, geothermal, gis, remote-sensing, routt-county, shape-file, shapefile, solar-radiation, temperature, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Areas of Weakly Anomalous to Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data

Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the greater than 2o temperatures contained in the "Anomalous Surface Temperature" dataset.

This layer contains areas of anomalous surface temperature in Archuleta County 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 between 1o and 2o were considered ASTER modeled warm surface exposures (thermal anomalies). 

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


Tags: anomaly-detection, arcgis, archeluta-county, aster, colorado, data, geospatial, geospatial-data, geothermal, gis, remote-sensing, shape-file, shapefile, temperature, thermal, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Areas of Weakly Anomalous to Anomalous Surface Temperature in Alamosa and Saguache Counties, Colorado, as Identified from ASTER Thermal Data

This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the greater than 2o temperatures contained in the "Anomalous Surface Temperature" dataset.

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

Tags: alamosa-county, anomaly-detection, arcgis, aster, colorado, data, geospatial, geospatial-data, geospatial-layer, geothermal, gis, remote-sensing, saguache-county, shape-file, shapefile, temperature, thermal-anomaly, thermal-infrared
Organization: Department of Energy
Areas of Weakly Anomalous to Anomalous Surface Temperature in Chaffee County, Colorado, as Identified from ASTER Thermal Data

Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the greater than 2o temperatures contained in the "Anomalous Surface Temperature" dataset.

This layer contains areas of anomalous surface temperature in Chaffee County 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 surface exposures (thermal anomalies).

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


Tags: anomaly-detection, arcgis, aster, chaffee-county, colorado, data, geospatial, geospatial-data, geothermal, gis, remote-sensing, shape-file, shapefile, temperature, thermal-anomalies, thermal-infrared
Organization: Department of Energy
Areas of Weakly Anomalous to Anomalous Surface Temperature in Dolores County, Colorado, as Identified from ASTER Thermal Data

Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the greater than 2o temperatures contained in the "Anomalous Surface Temperature" dataset.

This layer contains areas of anomalous surface temperature in Dolores County 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 surface exposures (thermal anomalies)

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


Tags: anomaly-detection, arcgis, aster, colorado, data, dolores-county, geospatial, geospatial-data, geothermal, gis, remote-sensing, shape-file, shapefile, temperature, thermal-anomalies, thermal-anomaly, thermal-infrared
Organization: Department of Energy
Areas of Weakly Anomalous to Anomalous Surface Temperature in Garfield County, Colorado, as Identified from ASTER Thermal Data

Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the greater than 2o temperatures contained in the "Anomalous Surface Temperature" dataset.

This layer contains areas of anomalous surface temperature in Garfield County 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 between 1o and 2o were considered ASTER modeled warm surface exposures (thermal anomalies)

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


Tags: arcgis, aster, colorado, data, garfield-county, geospatial, geospatial-data, geothermal, gis, remote-sensing, shape-file, shapefile, temperature, thermal, thermal-anomalies, thermal-anomaly, thermal-infrared
Organization: Department of Energy
Areas of Weakly Anomalous to Anomalous Surface Temperature in Routt County, Colorado, as Identified from ASTER Thermal Data

Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the greater than 2o temperatures contained in the "Anomalous Surface Temperature" dataset.

This layer contains areas of anomalous surface temperature in Routt County 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 between 1o and 2o were considered ASTER modeled warm surface exposures (thermal anomalies).

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


Tags: arcgis, aster, colorado, data, geospatial, geospatial-data, geothermal, gis, remote-sensing, routt-county, shape-file, shapefile, temperature, thermal, thermal-anomalies, thermal-anomaly, thermal-infrared
Organization: Department of Energy