AndreaBozzo/ceres-open-data-index huggingface dataset:
Sentinel-5P TROPOMI Near-Real-Time (NRT) Carbon Monoxide CO Column 1-Orbit L2 5.5km x 7km V2 (S5P_L2__CO_____HiR_NRT) at GES DISC

The Sentinel-5P TROPOMI Near Real Time (NRT) Carbon Monoxide CO Column 1-Orbit L2 5.5km x 7km V2 (S5P_L2__CO_____HiR_NRT) at GES DISC is the near real time version of the offline S5P_L2__CO_____HiR data product. These data are typically available within three hours of measurement as required by the Land Atmosphere NRT Capability Earth Observing System (LANCE). These data are intended for a rapid turnaround assessment and are only archived for up to ten days. Users who require a longer data record, or wish to conduct rigorous analysis should use the offline version of this product S5P_L2__CO_____HiR. The Copernicus Sentinel-5 Precursor (Sentinel-5P or S5P) satellite mission is one of the European Space Agency's (ESA) new mission family - Sentinels, and it is a joint initiative between the Kingdom of the Netherlands and the ESA. The sole payload on Sentinel-5P is the TROPOspheric Monitoring Instrument (TROPOMI), which is a nadir-viewing 108 degree Field-of-View push-broom grating hyperspectral spectrometer, covering the wavelength of ultraviolet-visible (UV-VIS, 270nm to 495nm), near infrared (NIR, 675nm to 775nm), and shortwave infrared (SWIR, 2305nm-2385nm). Sentinel-5P is the first of the Atmospheric Composition Sentinels and is expected to provide measurements of ozone, NO2, SO2, CH4, CO, formaldehyde, aerosols and cloud at high spatial, temporal and spectral resolutions. The TROPOMI Carbon Monoxide total column applies a modified SWIR CO retrieval (SICOR) algorithm based on the CO absorption band between 2305 nm and 2385 nm. The S5P SICOR algorithm accounts for cloudy and aerosol loaded atmosphere conditions and is suitable for clear sky observations over land and cloudy observations over both land and oceans. Data are stored in individual files, or granules, that contain one orbit of information. The data are stored in netCDF4 data format and files and complete files are ~20 MB.

Tags: earth-science-air-quality-atmosphere, earth-science-air-quality-atmosphere-carbon-monoxide, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car
Organization: National Aeronautics and Space Administration
SMEX02 Landsat 5 and 7 Thematic Mapper Land Surface Brightness Temperatures, Version 1

This data set consists of land surface brightness temperatures derived from Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper+ (ETM+) thermal bands.

Tags: earth-science-infrared-wavelengths-spectral-engineering-brightness-temperature
Organization: National Aeronautics and Space Administration
SMEX02 Passive and Active L and S band System (PALS) Data, Version 1

This data set contains calibrated sensor measurements acquired by the Passive and Active L- and S-band (PALS) airborne microwave sensor during the Soil Moisture Experiment 2002 (SMEX02).

Tags: earth-science-microwave-spectral-engineering-brightness-temperature, earth-science-radar-spectral-engineering-radar-backscatter
Organization: National Aeronautics and Space Administration
SOLVE II DC-8 Aircraft Remotely Sensed Trace Gas Data

SOLVE2_TraceGas_AircraftRemoteSensing_DC8_Data is the remotely sensed trace gas data for the DC-8 aircraft collected during the SAGE III Ozone Loss and Validation Experiment II (SOLVE II). Data were collected by the Gas and Aerosol Measurement Sensor/Langley Airborne A-Band Spectrometer (GAMS/LAABS). Data collection for this product is complete. The SOLVE campaign was a NASA multi-program effort of the Upper Atmosphere Research Program (UARP), Atmospheric Effects of Aviation Project (AEAP), Atmospheric Chemistry Modeling and Analysis Program (ACMAP) and Earth Observing System (EOS) of NASA’s Earth Science Enterprise (ESE). SOLVE’s primary objective was for calibrating and validating the Stratospheric Aerosol and Gas Experiment (SAGE) III satellite measurements, while examining the processes that controlled ozone levels at a mid- to high-latitude range. The major goal of SAGE III was to quantitatively assess ozone loss at high latitudes. SOLVE was a two-phase experiment, the first phase, SOLVE, occurred during the fall of 1999 through the spring of 2000. The second phase, SOLVE II, occurred during the winter of 2003. SOLVE took place in the Arctic high-latitude region during the winter. The polar ozone depletion processes cause by human-produced chlorine and bromine are most active in mid-to-late winter and early spring in the high Arctic. In order to conduct this validation experiment, NASA deployed the NASA ER-2 aircraft and NASA DC-8 aircraft. The ER-2 measured a variety of atmospheric data, including ozone (O3), H2O, CO2, ClONO2, HCl, ClO/BrO, and Cl2O2. The DC-8 aircraft measured ozone, ClO/BrO, and aerosol, among other atmospheric data. SOLVE also utilized balloon platforms, ground-based instruments, and collaborations with the German Aerospace Center’s (DLR) FALCON aircraft equipped with the OLEX Lidar to achieve the mission objectives. Overall, the campaign had 28 flights, with SOLVE featuring 17 total flights among the different aircrafts and SOLVE II featuring 11 flights.

Tags: earth-science-atmospheric-chemistry-atmosphere, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-nitrogen-dioxide, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone
Organization: National Aeronautics and Space Administration
SMAP_L1A_RADAR_QA_V001

SMAP Level 1A Radar Data Quality Information

Tags: earth-science-platform-characteristics-spectral-engineering-orbital-characteristics, earth-science-radar-spectral-engineering-radar-imagery, earth-science-radar-spectral-engineering-sigma-naught, earth-science-soils-land-surface-soil-moisture-water-content
Organization: National Aeronautics and Space Administration
Smoke, Clouds and Radiation Brazil NASA ER-2 Moderate Resolution Imaging Spectrometer (MODIS) Airborne Simulator (MAS) Data

SCARB_ER2_MAS data are Smoke, Clouds and Radiation Brazil (SCARB) NASA ER2 Moderate Resolution Imaging Spectrometer (MODIS) Airborne Simulator (MAS) Data.Smoke/Sulfates, Clouds and Radiation - Brazil (SCAR-B) data include physical and chemical components of the Earth's surface, the atmosphere and the radiation field collected in Brazil with an emphasis in biomass burning. SCAR-B, the third SCAR experiment, was completed in September 1995, studied the effects of biomass burning on atmospheric processes and aids in the preparation of new techniques for remote sensing of these processes from space.The objectives for the SCAR mission are: to advance our knowledge of how the physical, chemical and radiative processes in our atmosphere are affected by sulfate aerosol and smoke from biomass burning; to improve our expertise at remotely sensing smoke, water vapor, clouds, vegetation and fires; and to assess the effects of deforestation and biomass burning on tropical landscapes. The MODIS Airbourne Simulator (MAS) is a modified Daedalus Wildfire scanning spectrometer which flies on a NASA ER-2 and provides spectral information similar to that provided by the Moderate Resolution Imaging Spectroradiometer (MODIS), launched on Terra (EOS AM-1) in 1999 and Aqua (EOS PM-1) in 2002. The MAS spectrometer acquires high spatial resolution imagery in the wavelength range of 0.55 to 14.3 microns. A total of 50 spectral bands are available in this range, and the digitizer can be configured to collect data from any 12 of these bands. The digitizer was configured with four 10-bit channels and seven 8-bit channels. The MAS spectrometer was mated to a scanner subassembly which collected image data with an IFOV of 2.5 mrad, giving a ground resolution of 50 meters from 20000 meters altitude, and a cross track scan width of 85.92 degrees. The data granules were written using the self documenting file storage format provided through the netCDF interface routines included in the HDF libraries.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-imagery, earth-science-visible-wavelengths-spectral-engineering-visible-imagery
Organization: National Aeronautics and Space Administration
Sentinel-1C Single Polarization Medium Resolution Ground Range Detected Product Metadata

The Sentinel-1C satellite was launched December 5, 2024. Sentinel-1C is the the latest satellite to be added to the Sentinel-1 constellation. The Sentinel-1 satellites (Sentinel-1A, Sentinel-1B, and Sentinel-1C) are sun-synchronous polar-orbiting satellites that operate day and night performing C-band synthetic aperture radar (SAR) imaging. The Sentinel-1 satellites operate in four imaging modes with different resolutions (down to 5 meters) and coverage (up to 400 kilometers). The Sentinel-1 satellites provide dual polarization capability and short revisit times. Sentinel-1C Ground Range Detected (GRD) products consist of focused SAR data that has been detected, multi-looked and projected to ground range using the Earth ellipsoid model WGS84. The ellipsoid projection of the GRD products is corrected using the terrain height and is specified in the product’s general annotation. The terrain height used varies in azimuth and it is constant in range (only the terrain height of first subswath is considered for Interferometric Wide (IW) and Extra Wide (EW) swath modes). Ground range coordinates are the slant range coordinates projected onto the ellipsoid of the Earth. Pixel values represent detected amplitude. Phase information is lost. The resulting product has approximately square resolution pixels and square pixel spacing with reduced speckle at a cost of reduced spatial resolution. For IW and EW GRD products, multi-looking is performed on each burst individually. All bursts in all sub-swaths are then seamlessly merged to form a single, contiguous, ground range, detected image per polarization. The products in this collection are ISO compliant XML metadata created by the Alaska Satellite Facility Distributed Active Archive Center from the associated Sentinel-1C SAFE format product.

Tags: earth-science-geomorphic-landforms-processes-land-surface, earth-science-geomorphic-landforms-processes-solid-earth, earth-science-glaciers-ice-sheets-cryosphere, earth-science-tectonics-solid-earth
Organization: National Aeronautics and Space Administration
Sentinel-1C Single Polarization Full Resolution Ground Range Detected Product

The Sentinel-1C satellite was launched December 5, 2024. Sentinel-1C is the the latest satellite to be added to the Sentinel-1 constellation. The Sentinel-1 satellites (Sentinel-1A, Sentinel-1B, and Sentinel-1C) are sun-synchronous polar-orbiting satellites that operate day and night performing C-band synthetic aperture radar (SAR) imaging. The Sentinel-1 satellites operate in four imaging modes with different resolutions (down to 5 meters) and coverage (up to 400 kilometers). The Sentinel-1 satellites provide dual polarization capability and short revisit times. Sentinel-1C Ground Range Detected (GRD) products consist of focused SAR data that has been detected, multi-looked and projected to ground range using the Earth ellipsoid model WGS84. The ellipsoid projection of the GRD products is corrected using the terrain height and is specified in the product’s general annotation. The terrain height used varies in azimuth and it is constant in range (only the terrain height of first subswath is considered for Interferometric Wide (IW) and Extra Wide (EW) swath modes). Ground range coordinates are the slant range coordinates projected onto the ellipsoid of the Earth. Pixel values represent detected amplitude. Phase information is lost. The resulting product has approximately square resolution pixels and square pixel spacing with reduced speckle at a cost of reduced spatial resolution. For IW and EW GRD products, multi-looking is performed on each burst individually. All bursts in all sub-swaths are then seamlessly merged to form a single, contiguous, ground range, detected image per polarization. The single polarization full resolution GRD data products in this collection mirror the Sentinel-1C products provided through the Copernicus Data Space Ecosystem.

Tags: earth-science-geomorphic-landforms-processes-land-surface, earth-science-geomorphic-landforms-processes-solid-earth, earth-science-glaciers-ice-sheets-cryosphere, earth-science-tectonics-solid-earth
Organization: National Aeronautics and Space Administration
Sentinel-1C Dual Polarization Medium Resolution Ground Range Detected Product Metadata

The Sentinel-1C satellite was launched December 5, 2024. Sentinel-1C is the the latest satellite to be added to the Sentinel-1 constellation. The Sentinel-1 satellites (Sentinel-1A, Sentinel-1B, and Sentinel-1C) are sun-synchronous polar-orbiting satellites that operate day and night performing C-band synthetic aperture radar (SAR) imaging. The Sentinel-1 satellites operate in four imaging modes with different resolutions (down to 5 meters) and coverage (up to 400 kilometers). The Sentinel-1 satellites provide dual polarization capability and short revisit times. Sentinel-1C Ground Range Detected (GRD) products consist of focused SAR data that has been detected, multi-looked and projected to ground range using the Earth ellipsoid model WGS84. The ellipsoid projection of the GRD products is corrected using the terrain height and is specified in the product’s general annotation. The terrain height used varies in azimuth and it is constant in range (only the terrain height of first subswath is considered for Interferometric Wide (IW) and Extra Wide (EW) swath modes). Ground range coordinates are the slant range coordinates projected onto the ellipsoid of the Earth. Pixel values represent detected amplitude. Phase information is lost. The resulting product has approximately square resolution pixels and square pixel spacing with reduced speckle at a cost of reduced spatial resolution. For IW and EW GRD products, multi-looking is performed on each burst individually. All bursts in all sub-swaths are then seamlessly merged to form a single, contiguous, ground range, detected image per polarization. The products in this collection are ISO compliant XML metadata created by the Alaska Satellite Facility Distributed Active Archive Center from the associated Sentinel-1C SAFE format product.

Tags: earth-science-geomorphic-landforms-processes-land-surface, earth-science-geomorphic-landforms-processes-solid-earth, earth-science-glaciers-ice-sheets-cryosphere, earth-science-tectonics-solid-earth
Organization: National Aeronautics and Space Administration
SNF Site Characterization Validation

This data set documentation is currently in work. In the interim, an abstract of the entire Superior National Forest (SNF) data collection activity from which the SNF Site Characterization Validation Data Set is a product is being provided. During the summers of 1983 and 1984, the National Aeronautics and Space Administration (NASA) conducted an intensive experiment in a portion of the Superior National Forest (SNF) near Ely, Minnesota, USA. The purpose of the experiment was to investigate the ability of remote sensing to provide estimates of biophysical properties of ecosystems, such as leaf area index (LAI), biomass and net primary productivity (NPP). The study area covered a 50 x 50 km area centered at approximately 48 degrees North latitude and 92 degrees West longitude in northeastern Minnesota at the southern edge of the North American boreal forest. The SNF is mostly covered by boreal forest. Boreal forests were chosen for this project because of their relative taxonomic simplicity, their great extent, and their potential sensitivity to climatic change. Satellite, aircraft, helicopter and ground observations were obtained for the study area. These data comprise a unique dataset for the investigation of the relationships between the radiometric and biophysical properties of vegetated canopies. This is perhaps the most complete dataset of its type ever collected over a forested region. A key goal of the experiment was to use the aircraft measurements to scale up to satellite observations for the remote sensing of biophysical parameters.

Tags: earth-science-atmospheric-radiation-atmosphere-scattering, earth-science-vegetation-biosphere-forest-composition-vegetation-structure, earth-science-vegetation-biosphere-litter-characteristics
Organization: National Aeronautics and Space Administration
SORCE SIM Level 3 TSIS-Adjusted Values Solar Spectral Irradiance 24-Hour Means V002 (SOR3SIMD_TAV) at GES DISC

Version 002 is the most recent version of this data product, and supersedes all previous versions. The SORCE SIM Level 3 TSIS-Adjusted Values Solar Spectral Irradiance 24-Hour Means data product (SOR3SIMD_TAV) uses the temporal overlap of the Solar Radiation and Climate Experiment (SORCE) and the Total and Spectral Solar Irradiance Sensor (TSIS-1) Spectral Irradiance Monitor (SIM) instruments to create an alternate SORCE-SIM irradiance calibration, known as the TSIS1 Adjusted Values (TAV). The SORCE-SIM Solar Spectral Irradiance (SSI) data products are provided on a fixed wavelength scale which varies in spectral resolution from 1-34 nm over the spectral range from 240 to 2401 nm. Irradiances are reported at a mean solar distance of 1 AU and zero relative line-of-sight velocity with respect to the Sun. The TAV data is on the SORCE-SIM wavelength scale, with the exception that the longest TAV wavelength is 2401.4 nm. All of the SOR3SIMD_TAV data are arranged in a single file in a tabular ASCII text file which can be easily read into a spreadsheet application. The columns contain the date, Julian day, minimum wavelength, maximum wavelength, instrument mode, data version number, irradiance value, irradiance uncertainty, and data quality. The rows are arranged with data at each wavelength over the full SIM wavelength range, repeating for each day for the length of the measurement period.

Tags: earth-science-solar-activity-sun-earth-interactions-solar-irradiance-solar-spectral-irradiance
Organization: National Aeronautics and Space Administration
SMAP_L1A_RADAR_QA_V002

SMAP Level 1A Radar Data Quality Information Version 2

Tags: earth-observation-satellites-smap-nasa-decadal-survey-soil-moisture-active-and-passive-observat, earth-remote-sensing-instruments-imaging-radars-active-remote-sensing-smap-l-band-radar-smap-l, earth-science-platform-characteristics-spectral-engineering-orbital-characteristics, earth-science-radar-spectral-engineering-radar-imagery, earth-science-radar-spectral-engineering-sigma-naught
Organization: National Aeronautics and Space Administration
Sentinel-3A OLCI Level-1B Earth-observation Reduced Resolution (ERR) Data, version 1

The Ocean and Land Colour Instrument (OLCI) is the successor to ENVISAT's Medium Resolution Imaging Spectrometer (MERIS) having additional spectral channels, different camera arrangements and simplified on-board processing. The OLCI is a push-broom instrument with five camera modules sharing the field of view. The field of view of the five cameras is arranged in a fan-shaped configuration in the vertical plane, perpendicular to the platform velocity. Each camera has an individual field of view of 14.2&#176; and a 0.6&#176; overlap with its neighbors. The whole field of view is shifted across track by 12.6 degrees away from the sun to minimize the impact of sun glint. OLCI is equipped with on-board calibration hardware based on sun diffusers. There are three sun diffusers--two 'white' diffusers dedicated to radiometric calibration and one dedicated to spectral calibration, with spectral reflectance features. The native resolution is approximately 300m, referred to as Full Resolution (FR). A Reduced Resolution (RR) processing mode provides Level-1B data at sampling rates decreased by a factor of four in both spatial dimensions resulting to resolution of approximately 1.2 km.

Tags: earth-science-ocean-optics-oceans-ocean-color
Organization: National Aeronautics and Space Administration
SNF Forest Understory Cover Data

The purpose of the SNF study was to improve our understanding of the relationship between remotely sensed observations and important biophysical parameters in the boreal forest. A key element of the experiment was the development of methodologies to measure forest stand characteristics to determine values of importance to both remote sensing and ecology. Parameters studied were biomass, leaf area index, above ground net primary productivity, bark area index and ground coverage by vegetation. Thirty two quaking aspen and thirty one black spruce sites were studied. Sites were chosen in uniform stands of aspen or spruce. The dominant species in the site constituted over 80 percent, and usually over 95 percent, of the total tree density and basal area. Aspen stands were chosen to represent the full range of age and stem density of essentially pure aspen, of nearly complete canopy closure, and greater than two meters in height. Spruce stands ranged from very sparse stands on bog sites, to dense, closed stands on more productive peatlands. Use of multiple plots within each site allowed estimation of the importance of spatial variation in stand parameters. Within each plot, all woody stems greater than two meters in height were recorded by species and the following dimensions were measured: diameter breast height, height of the tree, height of the first live branch, and depth of crown. For each plot, a two meter diameter subplot was defined at the center of each plot. Within this subplot, the percent of ground coverage by plants under one meter in height was determined by species. These data, averaged for the five plots in each site, are presented in the SNF Forest Understory Cover Data (Table) data set in tabular format, e.g. plant species with a count for that species at each site. The same data are presented in this data set (i.e., SNF Forest Understory Cover Data) but are arranged with a row for each species and site and a percent ground coverage for each combination.

Tags: earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-vegetation-species
Organization: National Aeronautics and Space Administration
Snow Depth, Stratigraphy, and Temperature in Wrangell St Elias NP, Alaska, 2016-2018

This dataset includes data from late-March snow surveys and hourly digital camera images from two study areas within the Wrangell St Elias National Park, Alaska. These data comprise snow density, stratigraphy, and temperature profiles obtained by snow pits; and snow depth data obtained from transects between snow pits. Daily snow depths, adjacent to each pit, were derived from hourly camera images of snow stakes placed adjacent to each pit. These data were collected to constrain and validate a physically-based, spatially-distributed snow evolution model used to simulate snow conditions in Dall sheep habitat. The two study areas are both located within the Jacksina Park Unit (JPU). The first study area, surveyed in 2017, included the northern end of Jaeger Mesa and an area near Rambler mine in the North East of the JPU. The second study area, surveyed in 2018, was within the upper watershed of Pass Creek in the North of the JPU. The remote cameras operated from September 2016 to August 2017 on Jaeger Mesa/Rambler Mine and from September 2017 to July 2018 at Pass Creek.

Tags: earth-science-snow-ice-cryosphere-snow-density, earth-science-snow-ice-cryosphere-snow-depth, earth-science-snow-ice-cryosphere-snow-ice-temperature, earth-science-snow-ice-cryosphere-snow-stratigraphy
Organization: National Aeronautics and Space Administration