AndreaBozzo/ceres-open-data-index huggingface dataset:
Forest Canopy Composition (SNF)

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. 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. Within each plot, all woody stems greater than two meters in height were recorded by species and diameter breast height (dbh), height of the tree, and height of the first live branch dimensions were measured. The depth of crown was also calculated. Similar measurements were made for shrubs between one and two meters tall in the aspen sites.

Tags: earth-science-atmospheric-radiation-atmosphere-scattering, earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-forest-composition-vegetation-structure, earth-science-vegetation-biosphere-vegetation-species
Organization: National Aeronautics and Space Administration
Forest Inventories and DBH at Burned and Unburned Forest Sites, Acre, Brazil, 2017

This data set provides measurements of diameter at breast height (DBH) and species identification at four forest sites in the eastern side of Acre, Brazil including Bonal (A), Catuaba (B), Humaita (C) and Transacreana (D). The inventory locations include forests burned in 2005 and 2010 and nearby unburned areas. Inventory surveys were conducted in October and December 2017.

Tags: earth-science-natural-hazards-human-dimensions-wildfires-burned-area, earth-science-vegetation-biosphere-forest-composition-vegetation-structure, earth-science-vegetation-biosphere-plant-characteristics, earth-science-vegetation-biosphere-vegetation-species
Organization: National Aeronautics and Space Administration
Forest-BGC Model (OTTER)

Steve Running's Forest-BGC Model

Tags: earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes-evaporation, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes-evapotranspiration, earth-science-ecological-dynamics-biosphere-ecosystem-functions-decomposition, earth-science-ecological-dynamics-biosphere-ecosystem-functions-photosynthesis, earth-science-ecological-dynamics-biosphere-ecosystem-functions-respiration-rate, earth-science-soils-land-surface-soil-moisture-water-content
Organization: National Aeronautics and Space Administration
Former Soviet Union Hydrological Snow Surveys, 1966-1996, Version 1

The Former Soviet Union Hydrological Snow Surveys are based on observations made by personnel at 1,345 sites throughout the Former Soviet Union between 1966 and 1990, and over 200 of those sites between 1991 and 1996. These observations include snow depths at World Meteorological Organization (WMO) stations and snow depth and snow water equivalent measured over a nearby snow course transect. The station snow depth measurements are a ten-day average of individual snow depth measurements. The transect snow depth data are the spatial average of 100 to 200 individual measuring points. The transect snow water equivalent is the spatial average of 20 individual measuring points. Data were acquired from the Institute of Geography, Russian Academy of Sciences Moscow, and data were digitized in Russia under the supervision of Professor Alexander Krenke.

Tags: earth-science-snow-ice-cryosphere-snow-cover-snow-cover, earth-science-snow-ice-cryosphere-snow-density-snow-density, earth-science-snow-ice-cryosphere-snow-depth-snow-depth, earth-science-snow-ice-cryosphere-snow-water-equivalent-snow-water-equivalent, earth-science-snow-ice-terrestrial-hydrosphere-snow-cover-snow-cover, earth-science-snow-ice-terrestrial-hydrosphere-snow-density-snow-density, earth-science-snow-ice-terrestrial-hydrosphere-snow-depth-snow-depth, earth-science-snow-ice-terrestrial-hydrosphere-snow-water-equivalent-snow-water-equivalent
Organization: National Aeronautics and Space Administration
Full Resolution Full Swath Geolocated and Calibrated TOA Radiance

The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution. Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012. The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_FRS_1P is the short-name for the MERIS Level-1 full resolution, full swath, geolocated and calibrated top-of-atmosphere (TOA) radiance product. This product contains the TOA upwelling spectral radiance measurements. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance for each pixel. Each pixel’s in-band solar irradiance is computed by integrating the reference solar spectrum with the band-pass of each pixel. The Level-1 product contains 22 data files: 15 files contain radiances for each band (one band per file) along with associated error estimates, and 7 annotation data files. It also includes a Manifest file that provides metadata information describing the product.

Tags: earth-science-cloud-properties-atmosphere-clouds-cloud-properties-cloud-ceiling, earth-science-clouds-atmosphere-cloud-microphysics-cloud-precipitable-water, earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-landscape-land-surface-landscape-ecology, earth-science-ocean-optics-oceans-ocean-color, earth-science-ultraviolet-wavelengths-spectral-engineering-ultraviolet-radiance, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
G-LiHT Digital Surface Model V001

Goddard’s LiDAR, Hyperspectral, and Thermal Imagery ([G-LiHT](https://gliht.gsfc.nasa.gov/)) mission is a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Digital Surface Model data product (GLDSMT) is to provide LiDAR-derived visualizations of elevation above bare earth. GLDSMT data is offered in multiple formats, including Digital Surface Model, Mean, Aspect, Rugosity, and Slope. GLDSMT data are processed as multiple raster data products (GeoTIFFs) at a nominal 1 meter spatial resolution over locally defined areas. A low resolution browse is also provided showing the digital surface model with a color map applied in PNG format.

Tags: earth-science-topography-land-surface, earth-science-topography-land-surface-surface-roughness, earth-science-topography-land-surface-terrain-elevation, earth-science-vegetation-biosphere-canopy-characteristics
Organization: National Aeronautics and Space Administration
G-LiHT Canopy Height Model KML V001

Goddard’s LiDAR, Hyperspectral, and Thermal Imager ([G-LiHT](https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Canopy Height Model Keyhole Markup Language (KML) data product (GLCHMK) is to provide LiDAR-derived maximum canopy height and canopy variability information to aid in the study and analysis of biodiversity and climate change. Scientists at NASA’s Goddard Space Flight Center began collecting data over locally-defined areas in 2011 and that the collection will continue to grow as aerial campaigns are flown and processed. GLCHMK data are processed as a Google Earth overlay KML file at a nominal 1 meter spatial resolution over locally-defined areas. A low resolution browse is also provided showing the canopy height with a color map applied in JPEG format.

Tags: earth-science-topography-land-surface-surface-roughness, earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-canopy-characteristics-vegetation-height
Organization: National Aeronautics and Space Administration
G-LiHT Canopy Height Model V001

Goddard’s LiDAR, Hyperspectral, and Thermal Imager ([G-LiHT](https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Canopy Height Model data product (GLCHMT) is to provide LiDAR-derived maximum canopy height and canopy variability information to aid in the study and analysis of biodiversity and climate change. Scientists at NASA’s Goddard Space Flight Center began collecting data over locally-defined areas in 2011 and that the collection will continue to grow as aerial campaigns are flown and processed. GLCHMT data are processed as a raster data product (GeoTIFF) at a nominal 1 meter spatial resolution over locally-defined areas. A low resolution browse is also provided showing the canopy height with a color map applied in JPEG format.

Tags: earth-science-topography-land-surface-surface-roughness, earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-canopy-characteristics-vegetation-height
Organization: National Aeronautics and Space Administration
G-LiHT Digital Terrain Model V001

Goddard’s LiDAR, Hyperspectral, and Thermal Imager ([G-LiHT](https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Digital Terrain Model data product (GLDTMT) is to provide LiDAR-derived bare earth elevation, aspect and slope on the EGM96 Geopotential Model. Scientists at NASA’s Goddard Space Flight Center began collecting data over locally-defined areas in 2011 and that the collection will continue to grow as aerial campaigns are flown and processed. GLDTMT data are processed as a raster data product (GeoTIFF) at a nominal 1 meter spatial resolution over locally-defined areas. A low resolution browse is also provided showing the digital terrain with a color map applied in JPEG format.

Tags: earth-science-topography-land-surface, earth-science-topography-land-surface-terrain-elevation
Organization: National Aeronautics and Space Administration
Gamma Ray Data: Peck (FIFE)

Airborne soil moisture measurement is based on the difference between natural terrestrial gamma radiation flux measured for comparatively wet and dry soils. The presence of moisture in the soil causes an effective increase in the soil density resulting in an increased attenuation of the gamma flux for relatively wet soil and a correspondingly lower flux at the ground surface. As part of the FIFE experiment, natural terrestrial gamma radiation data over a network of 24 flight lines were collected. The data acquisition procedure was designed to accumulate and store spectral radiation data along a flight line from which estimates of soil moisture could be computed. Ground-based soil moisture measurements were used to make a one-time calibration of the natural terrestrial radioisotope signal over the flight line network. A time-series of airborne soil moisture measurements (to a depth of 20 cm) was compared to an extensive, independent data set of ground-based soil moisture measurements. Estimates for flight line segments were found to have an average RMS error of approximately 2.5 % soil moisture (Peck et al., 1990).

Tags: earth-science-soils-land-surface-soil-moisture-water-content
Organization: National Aeronautics and Space Administration
G-LiHT Hyperspectral Vegetative Indices V001

Goddard’s LiDAR, Hyperspectral, and Thermal Imager ([G-LiHT](https://gliht.gsfc.nasa.gov/)) mission is a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Hyperspectral Vegetative Indices data product (GLHYVI) is to provide vegetative, stress, and other index data in 44 science dataset layers. Included in the product are vegetative indices such as Normalized Difference Vegetation Index (NDVI), Triangular Vegetation Index (TVI), Renormalized Difference Vegetation Index (RDVI), Modified Triangular Vegetation Index (MTVI), and Difference Vegetation Index (DVI). Stress indices include, but are not limited to, Carter Stress, Gitelson and Merzlyac Stress, Maccioni Stress, and Vogelmann Stress. GLHYVI data are processed as a raster data product (GeoTIFF) at 1 meter spatial resolution over locally defined areas. A browse image displaying NDVI is also included.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-lidar-spectral-engineering, earth-science-microwave-spectral-engineering-microwave-radiance, earth-science-ultraviolet-wavelengths-spectral-engineering-ultraviolet-radiance, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
G-LiHT Digital Terrain Model KML V001

Goddard’s LiDAR, Hyperspectral, and Thermal Imager ([G-LiHT](https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Digital Terrain Model Keyhole Markup Language (KML) data product (GLDTMK) is to provide LiDAR-derived bare earth elevation, aspect and slope on the EGM96 Geopotential Model. Scientists at NASA’s Goddard Space Flight Center began collecting data over locally-defined areas in 2011 and the collection will continue to grow as aerial campaigns are flown and processed. GLDTMK data are processed as a Google Earth overlay KML file at a nominal 1 meter spatial resolution over locally-defined areas. A low resolution browse is also provided showing the digital terrain with a color map applied in JPEG format.

Tags: earth-science-topography-land-surface, earth-science-topography-land-surface-terrain-elevation
Organization: National Aeronautics and Space Administration
GEOS-Carb CASA-GFED Monthly Fire Fuel NPP Rh NEE Fluxes 0.5 degree x 0.5 degree V2 (GEOS_CASAGFED_M_FLUX) at GES DISC

This product provides Monthly average Net Primary Production (NPP), heterotrophic respiration (Rh), wildfire emissions (FIRE), and fuel wood burning emissions (FUEL) derived from the Carnegie-Ames-Stanford-Approach – Global Fire Emissions Database version 3 (CASA- GFED3) model. The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car, earth-science-ocean-chemistry-oceans-carbon-dioxide
Organization: National Aeronautics and Space Administration
GEOS-5 FP-IT 3D Time-Averaged Single-Level Diagnostics Geo-Colocated to OMI/Aura VIS 1-Orbit L2 Swath 13x24km V4 (OMVFPSLV) at GES DISC

The GEOS-5 FP-IT 3D Time-Averaged Single-Level Diagnostics Geo-Colocated to OMI/Aura VIS 1-Orbit L2 Swath 13x24km (OMVFPSLV) provides selected parameters from GEOS-5 Forward Processing for Instrument Teams (FP-IT) assimilated product produced by the Global Modeling and Assimilation Office (GMAO) co-located in space and time with the OMI UV-2 swath. The fields in this product include boundary layer top pressure, tropopause pressure, surface pressure, surface skin temperature, and vertical wind profiles at 10m. The OMI team also provides a corresponding product for the OMI UV2 swath, OMUFPSLV. The product has been generated for convenient use by the OMI/Aura team in their L2 algorithms, and for research where those L2 products are used. The original GEOS-5 FP-IT data are reported on a 0.625 deg longitude by 0.5 deg latitude grid, whereas the OMI UV-2 spatial resolution is 13km x 24km at nadir. The OMVFPSLV files are in netCDF4 format which is compatible with most netCDF and HDF5 readers and tools. Each file is approximately 45mb in size. The lead for this product is Zachary Fasnacht of SSAI. Joanna Joiner is the responsible NASA official.

Tags: earth-science-atmospheric-pressure-atmosphere-planetary-boundary-layer-height, earth-science-atmospheric-pressure-atmosphere-pressure-thickness, earth-science-atmospheric-pressure-atmosphere-surface-pressure, earth-science-atmospheric-temperature-atmosphere-upper-air-temperature, earth-science-atmospheric-winds-atmosphere-surface-winds-u-v-wind-components, earth-science-atmospheric-winds-atmosphere-upper-level-winds-u-v-wind-components
Organization: National Aeronautics and Space Administration
GEOS-5 FP-IT Assimilation Geo-colocated to OMI/Aura VIS 1-Orbit L2 Support Swath 13x24km V3 (OMVFPITMET) at GES DISC

The GEOS-5 FP-IT Assimilation Geo-colocated to OMI/Aura VIS 1-Orbit L2 Support Swath 13x24km (OMVFPITMET) provides selected parameters from GEOS-5 Forward Processing for Instrument Teams (FP-IT) assimilated product produced by the Global Modeling and Assimilation Office (GMAO) co-located in space and time with the OMI VIS swath. The fields in this product include surface pressure, vertical temperature profiles, surface and vertical wind profiles, tropopause pressure, boundary layer top pressure, and surface geopotenial. The OMI team also provides a corresponding product for the OMI UV-2 swath, OMUFPITMET. The product has been generated for convenient use by the OMI/Aura team in their L2 algorithms, and for research where those L2 products are used. The original GEOS-5 FP-IT data are reported on a 0.625 deg longitude by 0.5 deg latitude grid, whereas the OMI VIS spatial resolution is 13km x 24km at nadir. To reduce the size of each orbital file, FP-IT data fields with a vertical dimension of 72 layers have been reduced to 47 layers in OMVFPITMET by combining layers above the troposphere. The OMVFPITMET files are in netCDF4 format which is compatible with most HDF5 readers and tools. Each file is approximately 45mb in size. The lead for this product is Zachary Fasnacht of SSAI. Joanna Joiner is the responsible NASA official.

Tags: earth-science-atmospheric-pressure-atmosphere-planetary-boundary-layer-height, earth-science-atmospheric-pressure-atmosphere-pressure-thickness, earth-science-atmospheric-pressure-atmosphere-surface-pressure, earth-science-atmospheric-temperature-atmosphere-upper-air-temperature, earth-science-atmospheric-winds-atmosphere-surface-winds-u-v-wind-components, earth-science-atmospheric-winds-atmosphere-upper-level-winds-u-v-wind-components
Organization: National Aeronautics and Space Administration
Geostationary Earth Orbit Land Surface Temperature Hourly North and South America 4 km V002

The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) GEOLST4KHR version 2 swath product provides per-pixel Land Surface Temperature (LST) with a spatial resolution of 4,000 meters (m). The product is produced daily in hourly increments using data acquired from Geostationary Operational Environmental Satellite (GOES) 8 and 10 through 17 satellites for the years 2000 through 2023. The GEOLST4KHR product provides LST values for both North and South America. The GEOLST4KHR data product utilizes the Modern-Era Retrospective analysis for Research and Applications Version 2 / Radiative Transfer for TIROS Operational Vertical Sounder (MERRA-2/RTTOV) Single-Channel Emissivity-Combined ASTER and MODIS Emissivity over Land (CAMEL) algorithm. The GEOLST4KHR product provides layers for cloud mask, latitude, longitude, land surface temperature, and land surface temperature error. A low-resolution browse is also available showing land surface temperature as an RGB (red, green, blue) image in JPEG format. Improvements/Changes from Previous Version * The land surface temperature layer now contains sea surface temperatures, and there have been updates to the cloud mask algorithm.

Tags: earth-science-surface-thermal-properties-land-surface-land-surface-temperature
Organization: National Aeronautics and Space Administration
G-LiHT Trajectory Data V001

Goddard’s LiDAR, Hyperspectral, and Thermal Imagery ([G-LiHT](https://gliht.gsfc.nasa.gov/)) mission is a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Trajectory data product (GLTRAJECTORY) is to provide aircraft location and orientation to support and supplement other G-LiHT data products. GLTRAJECTORY data are processed as a Google Earth overlay Keyhole Markup Language (KML) file over the extent of an entire flight path. A low resolution browse is also provided to show the flight path.

Tags: earth-science-altitude-atmosphere
Organization: National Aeronautics and Space Administration