AndreaBozzo/ceres-open-data-index huggingface dataset:
ECCOE 2021 Surface Reflectance Validation Dataset

Scientists and engineers from the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center (EROS) Cal/Val Center of Excellence (ECCOE) collected in situ measurements using field spectrometers to support the validation of surface reflectance products derived from Earth observing remote sensing imagery.  Data provided in this data release were collected during selected Earth observing satellite overpasses and tests during the months of May through November 2021.  
These data were collected at six field sites during 2021.  These field sites included South Dakota State University (SDSU) Research Park in Brookings, SD, near the Brookings Airport in Brookings, SD, a private land holding in Sanborn County, SD, Edwards Air Force Base in CA, Bureau of Land Management (BLM) managed land near Moneta, WY, State of Oklahoma Commissioners of the Land Office managed land near Guymon, OK, and Coconino National Forest near Flagstaff, AZ.  
Each field collection file includes the calculated surface reflectance of each wavelength collected by the spectroradiometer.  Initial data collection methodology relied upon a single field spectrometer.  Field collections conducted after 25 August 2021 contain data from two spectrometers.  The addition of the second spectrometer  reduced uncertainty in the field measurements by accounting for changes in solar irradiance.  The differing methodologies are denoted as "Single Spectrometer" and "Dual Spectrometer".  Field spectrometer data are provided as Comma Separated Values (CSV) files and GeoPackage files.  Lastly, data were collected during the Big Multi-Agency Collection round robin and are provided for all targets observed during the campaign.

Tags: arizona, brookings, california, coconino-national-forest, edwards-air-force-base, field-spectrometer, guymon, imagerybasemapsearthcover, landsat, landsat-8, landsat-9, landsat-level-2, moneta, oklahoma, sanborn-county, south-dakota, south-dakota-state-university-research-park, surface-reflectance, surface-reflectance-validation, usgs-630d375cd34e3b967a8c975d, wyoming
Organization: Department of the Interior
Astrogeology Science Center Monthly Report, July 1970

Monthly report to show updates on highlights and noteworthy results, publications, personnel, conferences and scientific meetings, talks or papers presented, visitors, and mapping progress tables. Includes unpublished works and works in progress.

Tags: astrogeology, astrogeology-branch-history, branch-history, geoscientificinformation, planetary-sciences, usgs-63128f4bd34e36012efa17ef
Organization: Department of the Interior
Phosphorus, nitrogen, and suspended-sediment loads measured at the Great Lakes Restoration Initiative tributary monitoring network: Water years 2011–2020

Phosphorus, nitrogen, and suspended-sediment loads, in 24 U.S. tributaries of the Great Lakes, were calculated using U.S. Geological Survey (USGS) data from the Great Lakes Restoration Initiative (GLRI) monitoring program for the period Oct 2010 through Sept 2020 (USGS water years 2011–2020). Total phosphorus, orthophosphate, particulate phosphorus, total nitrogen, nitrate plus nitrite, ammonium plus ammonia, and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment exported downstream at each tributary site. Daily loads were estimated using the WRTDS method with Kalman filtering. To determine the change in loads between the first and last water year in record, the annual load results were flow-normalized to standardize among years with varying flow dynamics. 
Three primary data tables are provided that describe phosphorus, nitrogen, and suspended-sediment conditions at 24 tributaries across the U.S. Great Lakes watershed: (1) annual results, (2) daily results, and (3) changes results. The annual table is organized by USGS water year (defined as Oct 1–Sept 30). The annual and daily tables also include time-weighted mean concentrations, mean discharge, and yield estimates, the latter being calculated by dividing loads by watershed areas. Descriptions for data tables are provided in the DataDictionary.csv file. Results are also displayed in an interactive web application (https://rconnect.usgs.gov/glritrends).
This data release also contains a model archive. The “model_code.zip” file contains the R code and input data to run the models, generate the results, and display the results on a shiny application. The Readme.md file includes instructions of how to run the model and descriptions of all inputs, model arguments, and outputs. Each model (saved as an eList) contains the input data (USGS station information (i.e., site information), daily discharge, and water sample data), model parameters, estimated values, and bootstrapped results. All eLists are archived in the “model_archive” folder, which is organized by sample dataset (i.e., allsamples and midsamples) and are named with the parameter and station number (e.g., NH4_04024000.RData). The RData files used in the shiny application are archived in the “shinydata” folder.

Tags: great-lakes-watershed, indiana, kalman-filtering, load-analysis, michigan, minnesota, new-york, nitrogen, nutrients, ohio, phosphorus, rivers, suspended-sediment, trends, united-states, usgs-630cfd3fd34e3b967a8c9670, water-quality, weighted-regression, wisconsin, wrtds, wrtds-k
Organization: Department of the Interior
Swath bathymetry data collected in 2013 off the islands of Maui and Kaho`olawe, Hawaii, during field activity A-01-13-HW

1-m resolution bathymetry data were collected during a February 2013 SWATHPlus survey offshore of the Hawaiian Islands of Maui and Kaho`olawe. Data were collected and processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC), with fieldwork activity number A-01-13-HW. The 1-m bathymetry data are provided as a GeoTIFF file.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, cmhrp, coastal-and-marine-hazards-and-resources-program, elevation, field-observation, geoscientificinformation, geospatial-datasets, island-of-maui, kahoolawe, lahaina, marine-geophysics, multibeam-sonar, olowalu, pacific-coastal-and-marine-science-center, pcmsc, sea-floor-characteristics, seabed, seafloor-topography, sonar-methods, state-of-hawaii, u-s-geological-survey, usgs, usgs-630cbbfb-87fd-4a5e-8212-2e65bf388afd
Organization: Department of the Interior
Rapid Assessment of Vegetation Condition after Wildfire (RAVG) Thematic Burn Severity Mosaic for CONUS in 2019

The RAVG (Rapid Assessment of Vegetation Condition after Wildfire) program provides assessments of vegetation conditions following large fires on forested lands. Fire effects are represented by three metrics: percent change in live basal area (BA), percent change in canopy cover (CC), and the standardized Composite Burn Index (CBI). These data are derived from moderate resolution multi-spectral imagery (e.g., Landsat 8 Operational Land Imager or Sentinel-2 Multispectral Instrument). The Relative Differenced Normalized Burn Ratio (RdNBR), which is correlated to the variation of burn severity within a fire, is calculated from a pair of images (pre- and postfire), judiciously selected to capture fire effects. The three-severity metrics are in turn calculated from RdNBR using regression equations developed from and calibrated with historical field data. This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2019. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires were not discernable from available imagery.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, prescribed-fire, ravg, sentinel, united-states, us, usgs-630cabeed34e3b967a8c952b, wildfire, wildland-fire
Organization: Department of the Interior
Rapid Assessment of Vegetation Condition after Wildfire (RAVG) Thematic Burn Severity Mosaic for CONUS in 2020

The RAVG (Rapid Assessment of Vegetation Condition after Wildfire) program provides assessments of vegetation conditions following large fires on forested lands. Fire effects are represented by three metrics: percent change in live basal area (BA), percent change in canopy cover (CC), and the standardized Composite Burn Index (CBI). These data are derived from moderate resolution multi-spectral imagery (e.g., Landsat 8 Operational Land Imager or Sentinel-2 Multispectral Instrument). The Relative Differenced Normalized Burn Ratio (RdNBR), which is correlated to the variation of burn severity within a fire, is calculated from a pair of images (pre- and postfire), judiciously selected to capture fire effects. The three-severity metrics are in turn calculated from RdNBR using regression equations developed from and calibrated with historical field data. This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2020. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires were not discernable from available imagery.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, prescribed-fire, ravg, sentinel, united-states, us, usgs-630cab86d34e3b967a8c9529, wildfire, wildland-fire
Organization: Department of the Interior
Rapid Assessment of Vegetation Condition after Wildfire (RAVG) Thematic Burn Severity Mosaic (ver. 10.0, January 2025)

The RAVG (Rapid Assessment of Vegetation Condition after Wildfire) program provides assessments of vegetation conditions following large fires on forested lands. Fire effects are represented by three metrics: percent change in live basal area (BA), percent change in canopy cover (CC), and the standardized Composite Burn Index (CBI). These data are derived from moderate resolution multi-spectral imagery (e.g., Landsat 8 Operational Land Imager or Sentinel-2 Multispectral Instrument). The Relative Differenced Normalized Burn Ratio (RdNBR), which is correlated to the variation of burn severity within a fire, is calculated from a pair of images (pre- and postfire), judiciously selected to capture fire effects. The three-severity metrics are in turn calculated from RdNBR using regression equations developed from and calibrated with historical field data. This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires were not discernable from available imagery.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, prescribed-fire, ravg, sentinel, united-states, us, usgs-630caa07d34e3b967a8c9524, wildfire, wildland-fire
Organization: Department of the Interior
Rapid Assessment of Vegetation Condition after Wildfire Burned Areas Boundaries for 2007-2024

The Rapid Assessment of Vegetation Condition after Wildfire (RAVG) program provides assessments of vegetation conditions following large fires on forested lands. Fire effects are represented by three metrics: percent change in live basal area (BA), percent change in canopy cover (CC), and the standardized Composite Burn Index (CBI). These data are derived from moderate resolution multi-spectral imagery (e.g., Landsat 8 Operational Land Imager or Sentinel-2 Multispectral Instrument). The Relative Differenced Normalized Burn Ratio (RdNBR), which is correlated to the variation of burn severity within a fire, is calculated from a pair of images (pre- and postfire), judiciously selected to capture fire effects. The three-severity metrics are in turn calculated from RdNBR using regression equations developed from and calibrated with historical field data. This map layer is a vector polygon shapefile of the location of all currently inventoried fires occurring between calendar year 2007 and 2024 for CONUS, Alaska, Hawaii, and Puerto Rico. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available or fires which were not discernable from available imagery.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, prescribed-fire, ravg, sentinel, united-states, us, usgs-630ca907d34e3b967a8c9522, wildfire, wildland-fire
Organization: Department of the Interior
Rapid Assessment of Vegetation Condition after Wildfire Fire Occurrence Dataset Point Locations from 2007-2024

The Rapid Assessment of Vegetation Condition after Wildfire (RAVG) program provides assessments of vegetation conditions following large fires on forested lands. Fire effects are represented by three metrics: percent change in live basal area (BA), percent change in canopy cover (CC), and the standardized Composite Burn Index (CBI). These data are derived from moderate resolution multi-spectral imagery (e.g., Landsat 8 Operational Land Imager or Sentinel-2 Multispectral Instrument). The Relative Differenced Normalized Burn Ratio (RdNBR), which is correlated to the variation of burn severity within a fire, is calculated from a pair of images (pre- and postfire), judiciously selected to capture fire effects. The three-severity metrics are in turn calculated from RdNBR using regression equations developed from and calibrated with historical field data. This map layer is a vector points shapefile of the location of all currently inventoried fires occurring between calendar year 2007 and 2024 for CONUS, Alaska, Hawaii, and Puerto Rico. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires which were not discernable from available imagery.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, prescribed-fire, ravg, sentinel, united-states, us, usgs-630ca885d34e3b967a8c951f, wildfire, wildland-fire
Organization: Department of the Interior
Creep rate models for California faults in the 2023 US National Seismic Hazard Model

Widespread surface creep is observed across a number of active faults included in the US National Seismic Hazard Model. In northern California, creep occurs on the central section of the San Andreas Fault, along the Hayward and Calaveras faults through the San Francisco Bay Area, and to the north coast region along the Maacama and Bartlett Springs faults. In southern California, creep is observed across the Coachella segment of the San Andreas Fault, through the Brawley Seismic Zone, and along the Imperial and Superstition Hills Faults. Seismic hazard assessments for California have accounted for creep using various data and methods, including the most recent Unified California Earthquake Rupture Forecast, version 3 (UCERF3) in 2013.  The updated surface creep rate compilation consists of variety of data types including alignment arrays, offset cultural markers, creepmeters, InSAR, and GPS data. We compile a total of 497 surface creep rate measurements, 400 of which are new and 97 of which appear in the UCERF3 compilation.

Tags: biota, seismic-creep, usgs-63096ed5d34e3b967a8c1d1e
Organization: Department of the Interior
Provisional Initial Assessment Thematic Burn Severity Mosaic for CONUS in 2021

This product is published on a provisional basis to provide necessary information to individuals assessing burn severity impacts on a time sensitive basis. This product was produced using the methods of the Monitoring Trends in Burn Severity (MTBS) Program; however, this fire may not meet the criteria for an MTBS initial assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically maps fires using an initial assessment (immediately after the fire) or an extended assessment (peak of green the season after the fire) for low-biomass and high-biomass fires respectively. Refer to MTBS.gov for more information on MTBS methods and criteria. Fires reported as greater than 40,000 acres in burned area are mapped on a provisional basis, using an initial assessment strategy regardless of vegetation type or density, provided suitable imagery is available. Once imagery for an extended assessment is available, this fire will be assessed under the MTBS program and an official MTBS initial or extended assessment product will be published under that program. This map layer is a thematic raster image of burn severity classes for all currently inventoried Provisional Initial Assessment fires occurring in CONUS during calendar year 2021.

Tags: ak, alaska, burn-severity, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, pr, prescribed-fire, puerto-rico, raster, sentinel, united-states, us, usgs-63091ee8d34e3b967a8c1c6f, wildfire, wildland-fire
Organization: Department of the Interior
Two-dimensional hydrodynamic model outputs for the Missouri River at Searcys Bend near Huntsdale, Missouri for September 16, 2021

This dataset consists of a point shapefile with depth, velocity magnitude, XY velocity vector components, and vector angles from outputs of a two-dimensional hydrodynamic model of the Missouri River at Searcys Bend near Huntsdale, Missouri. The model was run at a discharge of 1,291 cubic meters per second (m3/s) to reflect average flow conditions on September 16, 2021, as measured by the U.S. Geological Survey’s Missouri River gaging station at Boonville, Missouri (USGS Gage 06909000). The simulation was run using the Flow and Sediment Transport with Morphologic Evolution of CHannels (FaSTMECH) hydrodynamic model within the International River Interface Cooperative (iRIC) software package (www.i-ric.org). Required input parameter values for roughness, lateral eddy viscosity, and the downstream water surface elevation were interpolated from discharge relations with model parameters derived from previous model calibration at the study site.

Tags: hydrology, missouri, missouri-river, missouri-river-basin, usgs-63091df1d34e3b967a8c1c6a
Organization: Department of the Interior
Near-bed measurements of water velocity using a Nortek Aquadopp on the Missouri River at Searcys Bend, near Huntsdale, Missouri on September 16, 2021

This dataset includes 3 velocity measurements in 3 locations collected with a  Nortek Aquadopp mounted near the bed of the Missouri River in three different locations at Searcys Bend (SB) near Huntsdale, Missouri.  The measurements contain near-bed measurements of water velocity. The discharge at the U.S. Geological Survey Streamflow gaging station 06909000 fifteen miles upstream at Boonville, Missouri on September 16, 2021 was 1,291 cubic meters per second.

Tags: columbia, missouri, missouri-river, near-bed-velocity, nortek-aquadopp, pallid-sturgeon, river, usgs-63091bddd34e3b967a8c1c5f
Organization: Department of the Interior
Provisional Initial Assessment Thematic Burn Severity Mosaic (ver. 10.0, January 2025)

This product is published on a provisional basis to provide necessary information to individuals assessing burn severity impacts on a time sensitive basis. This product was produced using the methods of the Monitoring Trends in Burn Severity (MTBS) Program; however, this fire may not meet the criteria for an MTBS initial assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically maps fires using an initial assessment (immediately after the fire) or an extended assessment (peak of green the season after the fire) for low-biomass and high-biomass fires respectively. Refer to MTBS.gov for more information on MTBS methods and criteria. Fires reported as greater than 40,000 acres in burned area are mapped on a provisional basis, using an initial assessment strategy regardless of vegetation type or density, provided suitable imagery is available. Once imagery for an extended assessment is available, this fire will be assessed under the MTBS program and an official MTBS initial or extended assessment product will be published under that program. This map layer is a thematic raster image of burn severity classes for all currently inventoried Provisional Initial Assessment fires occurring in CONUS.

Tags: ak, alaska, burn-severity, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, pr, prescribed-fire, puerto-rico, raster, sentinel, united-states, us, usgs-6309180ed34e3b967a8c1a1e, wildfire, wildland-fire
Organization: Department of the Interior
Provisional Initial Assessment Burned Areas Boundaries for 2020-2024

This product is published on a provisional basis to provide necessary information to individuals assessing burn severity impacts on a time sensitive basis. This product was produced using the methods of the Monitoring Trends in Burn Severity (MTBS) Program; however, this fire may not meet the criteria for an MTBS initial assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically maps fires using an initial assessment (immediately after the fire) or an extended assessment (peak of green the season after the fire) for low-biomass and high-biomass fires respectively. Refer to MTBS.gov for more information on MTBS methods and criteria. Fires reported as greater than 40,000 acres in burned area are mapped on a provisional basis, using an initial assessment strategy regardless of vegetation type or density, provided suitable imagery is available. Once imagery for an extended assessment is available, this fire will be assessed under the MTBS program and an official MTBS initial or extended assessment product will be published under that program. This map layer is a vector polygon shapefile of the location of all currently inventoried (Provisional Initial Assessment) fires occurring between calendar year 2020 and 2024 for CONUS, Alaska, Hawaii, and Puerto Rico.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, pr, prescribed-fire, puerto-rico, sentinel, united-states, us, usgs-630914a8d34e3b967a8c1a0f, wildfire, wildland-fire
Organization: Department of the Interior