AndreaBozzo/ceres-open-data-index huggingface dataset:
VIIRS/NPP Hourly Cumulative Gridded Day Night Band 500m Linear Lat Lon Grid Night NRT

The Near Real Time (NRT) Suomi National Polar-Orbiting Partnership (S-NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) hourly top-of-atmosphere, at-sensor nighttime radiance product called VIIRS/NPP Hourly Cumulative Gridded Day Night Band 500m Linear Lat Lon Grid Night. Known by its short-name, VNP46A1G_NRT, is same as VNP46A1_NRT except that this product is generated hourly, cumulative from start of day through the hour the file is generated for. This product contains 26 Science Data Sets (SDS) that include sensor radiance, zenith and azimuth angles (at-sensor, solar, and lunar), cloud-mask flags, time, shortwave IR radiance, brightness temperatures, VIIRS quality flags, moon phase angle, and moon illumination fraction. It also provides Quality Flag (QF) information specific to the cloud-mask, VIIRS moderate-resolution bands M10, M11, M12, M13, M15, M16, and DNB.

Tags: earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
VIIRS/NPP Daily Gridded Day Night Band 500m Linear Lat Lon Grid Night NRT

The first of two VIIRS DNB-based Near Real Time (NRT) datasets is a daily, top-of-atmosphere, at-sensor nighttime radiance product called VIIRS/NPP Daily Gridded Day Night Band 500m Linear Lat Lon Grid Night. Known by its short-name, VNP46A1_NRT, this product contains 26 Science Data Sets (SDS) that include sensor radiance, zenith and azimuth angles (at-sensor, solar, and lunar), cloud-mask flags, time, shortwave IR radiance, brightness temperatures, VIIRS quality flags, moon phase angle, and moon illumination fraction. It also provides Quality Flag (QF) information specific to the cloud-mask, VIIRS moderate-resolution bands M10, M11, M12, M13, M15, M16, and DNB.

Tags: earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
VIIRS/NPP DNB BRDF/Albedo Nadir BRDF-Adjusted Ref Daily L3 Global 1km SIN Grid V002

TThe NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) Nadir Bidirectional Reflectance Distribution Function (BRDF) Adjusted Reflectance (NBAR) Version 2 product provides NBAR estimates at 1 kilometer (km) resolution. The VNP43DNBA4 product is produced daily using 16 days of VIIRS data and is weighted temporally to the ninth day, which is reflected in the file name. The view angle effects are removed from the directional reflectances resulting in a stable and consistent NBAR product. The VNP43 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo product suite. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from [VNP43DNBA1](https://doi.org/10.5067/VIIRS/VNP43DNBA1.002) to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43DNBA4), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) ([VNP43DNBA3](https://doi.org/10.5067/VIIRS/VNP43DNBA3.002)). Researchers can use the BRDF model parameters with a simple polynomial to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) layers can be used with a simple polynomial to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD). The VNP43DNBA4 product includes BRDF/Albedo mandatory quality and nadir reflectance for the VIIRS DNB. A low-resolution browse image is also available showing NBAR of the DNB as a red, green, blue (RGB) image in JPEG format. Known Issues * For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=VIIRS). Improvements/Changes from Previous Version * The NOAA-20 VIIRS algorithms include the same improvements as the S-NPP VIIRS V002 * Improved calibration algorithm and better coefficients for entire NOAA-20 mission * Improved geolocation accuracy and updates to fix outliers around maneuver periods and other events * Corrections to the aerosol quantity flag (low, average, high) mainly over brighter surfaces in the mid to high latitudes such as desert and tropical vegetation areas. This has an impact on the retrieval of other downstream data products such as VJ113 Vegetation Indices and VJ143 BRDF/Albedo. * Improved cloud mask input product for corrections along coastlines and artifacts from use of coarse resolution climatology data * Replaced the land/water mask input product with MODIS heritage seven class land/water mask

Tags: earth-science-surface-radiative-properties-land-surface-albedo, earth-science-surface-radiative-properties-land-surface-anisotropy, earth-science-surface-radiative-properties-land-surface-reflectance
Organization: National Aeronautics and Space Administration
Urban Land Cover Maps for Mekelle, Ethiopia and Polokwane, South Africa, 2020

This dataset consists of very high resolution urban land cover maps for two African cities, Mekelle, Ethiopia and Polokwane, South Africa for 2020. Maps were generated from Planet SuperDove satellite imagery at 3.125-m spatial resolution, and Worldview-3 satellite imagery (Maxar Techologies) at two spatial resolutions, 2 m for multispectral imagery and 0.5-m spatial resolution for pansharpened imagery. An object-based image classification approach was used to produce a multi-class land cover product for each image source. The aim of this work was to support fine scale urban land cover analyses and comparative assessments between different high resolution satellite imagery sources. The data are provided in shapefile format.

Tags: earth-science-ecosystems-biosphere-anthropogenic-human-influenced-ecosystems-urban-lands, earth-science-land-use-land-cover-land-surface, earth-science-vegetation-biosphere
Organization: National Aeronautics and Space Administration
VIIRS/NPP Imagery Resolution 6-Min L1B Swath SDR 375m NRT

The VIIRS Level 1 and Level 2 swath products are generated from the processing of 6 minutes of VIIRS data acquired during the S-NPP satellite overpass. The VIIRS sensor has 5 high-resolution imagery channels (I-bands) that have 32 detectors (32 rows of pixels per scan), with twice the resolution of the M-bands and the DNB, that span the wavelengths from 0.640 &#181;m to 11.45 &#181;m. The VNP02IMG product is comprised of 5 bands that are sensitive to visible, near-infrared (NIR), and thermal wavelengths. The spatial resolution of the instrument at viewing nadir is approximately 375 m for the Imagery bands, and 750m for the DNB and the Moderate-resolution Bands. The spatial resolution of the instrument at viewing nadir is approximately 750 m for the Moderate-resolution and Day/Night Bands, and 375m for the Imagery bands. file_naming_convention = "VNP02IMG_NRT.AYYYYDDD.HHMM.CCC.nc AYYYYDDD = Acquisition Year and Day of Year HHMM = Acquisition Hour and Minute CCC = Collection number nc = NetCDF5

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-infrared-wavelengths-spectral-engineering-reflected-infrared, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
VIIRS/NPP Land Surface Temperature and Emissivity 6-Min L2 Swath 750 m

The Near Real Time (NRT) VIIRSLand Surface Temperature and Emissivity 6-Min L2 Swath 750m product (VNP21_NRT) uses a physics-based algorithm to dynamically retrieve both the LST and emissivity simultaneously for the three VIIRS thermal infrared bands M14 (8.55 micrometer), M15 (10.76 micrometer), and M16 (12 micrometer) at a spatial resolution of 750 m at nadir. The VNP21 algorithm is based on the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Temperature Emissivity Separation (TES) algorithm. This algorithm uses full radiative transfer simulations for the atmospheric correction, and an emissivity model based on the variability in the surface radiance data to dynamically retrieve both LST and spectral emissivity at native pixel resolution. Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD) at: https://viirsland.gsfc.nasa.gov/PDF/VNP21_LSTE_ATBD_v2.1.pdf and user guide at: https://viirsland.gsfc.nasa.gov/PDF/VNP21_LSTE_user_guide.pdf

Tags: earth-science-surface-radiative-properties-land-surface-emissivity, earth-science-surface-thermal-properties-land-surface-land-surface-temperature
Organization: National Aeronautics and Space Administration
VIIRS/NPP Gross and Net Primary Production Gap-Filled Yearly L4 Global 500m SIN Grid V002

The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Gross and Net Primary Production (NPP) Gap-Filled (VNP17A3GF) Version 2 product is a cumulative composite of Gross Primary Productivity (GPP) values based on the radiation use efficiency concept that is potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation. VNP17A3GF is a yearly composite at 500 meter (m) spatial resolution delivered as a gridded Level 4 (L4) product in Sinusoidal projection. The VNP17A3GF will be generated at the end of each year when the entire yearly 8-day VNP15A2H is available. Hence, the gap-filled VNP17A3GF is the improved VNP17A2, which has cleaned the poor-quality inputs from 8-day Leaf Area Index and Fraction of Photosynthetically Active Radiation (LAI/FPAR) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get VNP17A3GF in near-real time because it will be generated only at the end of a given year. Provided in the VNP17A3GF product are layers for GPP, NPP, along with a quality control layer. A low resolution browse image for GPP is also available for each VNP17A3GF granule. Known Issues * For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=VIIRS).

Tags: earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes-evaporation, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes-evapotranspiration, earth-science-precipitation-atmosphere-precipitation-profiles-latent-heat-flux
Organization: National Aeronautics and Space Administration
VIIRS/NPP Gross Primary Productivity and Net Photosynthesis Gap-Filled 8-Day L4 Global 500m SIN Grid V002

The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Gross Primary Productivity (GPP) and Net Photosynthesis (PSN) Gap-Filled (VNP17A2GF) Version 2 product is a cumulative composite of GPP values based on the radiation use efficiency concept that is potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation. VNP17A2GF is an 8-day composite at 500 meters (m) spatial resolution delivered as a gridded Level 4 (L4) product in Sinusoidal projection. The VNP17A2GF will be generated at the end of each year when the entire yearly 8-day VNP15A2H is available. Hence, the gap-filled VNP17A2GF is the improved VNP17A2, which has cleaned the poor-quality inputs from 8-day Leaf Area Index and Fraction of Photosynthetically Active Radiation (LAI/FPAR) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get VNP17A2GF in near-real time because it will be generated only at the end of a given year. Provided in the VNP17A2GF product are layers for GPP, PSN, along with a quality control layer. A low resolution browse image for GPP is also available for each VNP17A2GF granule. Known Issues * For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=VIIRS).

Tags: earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes-evaporation, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes-evapotranspiration, earth-science-precipitation-atmosphere-precipitation-profiles-latent-heat-flux
Organization: National Aeronautics and Space Administration
VIIRS/NPP Imagery Resolution Terrain-Corrected Geolocation L1 6-Min Swath 375m NRT

The VNP03IMG, a Near Real Time (NRT) product, includes the geolocation fields that are calculated for each VIIRS imagery resolution band (I-band) Line of sight (LOS) for all orbits at the nominal resolution of 375 m. The locations and ancillary information correspond to the intersection of the centers of each Field of View (FOV) from 32 detectors in an ideal I-band on the Earth's surface. A digital terrain model is used to model the Earth's surface. The main inputs are the spacecraft attitude and orbit ephemeris data, the instrument telemetry and the digital elevation model. The geolocation fields contained within the VNP03IMG Geolocation files include geodetic latitude, longitude, surface height above the geoid, solar zenith and azimuth angles, satellite zenith and azimuth angles, and a land/water mask for each 375m sample. Additional information is included in the header to enable the calculation of the approximate location of the center of the detectors for any of the VIIRS bands. This product is used as input by a large number of subsequent VIIRS Imagery Resolution products, particularly those produced by the Land team. file_naming_convention = VNP03IMG_NRT.AYYYYDDD.HHMM.CCC.nc AYYYYDDD = Acquisition Year and Day of Year HHMM = Hour and minute of acquisition CCC = Collection number nc = NetCDF5

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-infrared-wavelengths-spectral-engineering-reflected-infrared, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
VIIRS/NPP Land Cover Dynamics Yearly L3 Global 500m SIN Grid V001

The VNP22Q2 Version 1 data product was decommissioned on July 31, 2025. Users are encouraged to use the [VNP22Q2](https://doi.org/10.5067/VIIRS/VNP22Q2.002) Version 2 data product. The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Cover Dynamics data product provides global land surface phenology (GLSP) metrics at yearly intervals. The VNP22Q2 data product is derived from time series of the two-band Enhanced Vegetation Index (EVI2) calculated from VIIRS Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR). Vegetation phenology metrics at 500 meter spatial resolution are identified for up to two detected growing cycles per year. Provided in each VNP22Q2 product are 19 Science Dataset (SDS) layers. The product contains six phenological transition dates: onset of greenness increase, onset of greenness maximum, onset of greenness decrease, onset of greenness minimum, dates of mid-greenup, and senescence phases. The product also includes the growing season length. The greenness related metrics consist of EVI2 onset of greenness increase, EVI2 onset of greenness maximum, EVI2 growing season, rate of greenness increase and rate of greenness decrease. The confidence of phenology detection is provided as greenness agreement growing season, proportion of good quality (PGQ) growing season, PGQ onset greenness increase, PGQ onset greenness maximum, PGQ onset greenness decrease, and PGQ onset greenness minimum. The final layer is quality control specifying the overall quality of the product. A low-resolution browse image showing greenup is also available when viewing each VNP22Q2 granule. Important information is provided in Sections 5 of the User Guide when comparing VNP22Q2 with the MCD12Q2 data product. Known Issues * For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=VIIRS).

Tags: earth-science-surface-radiative-properties-land-surface-reflectance
Organization: National Aeronautics and Space Administration
VIIRS/NPP Land Surface Phenology Yearly L3 Global 0.05Deg CMG V002

The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Phenology data product provides global land surface phenology (GLSP) metrics at yearly intervals. The VNP22C2 data product is derived from time series of the two-band Enhanced Vegetation Index-2 (EVI2) calculated from VIIRS Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR). Vegetation phenology metrics at 0.05 degree (~5,600 meters) spatial resolution are identified for up to two detected growing cycles per year. Provided in each VNP22C2 product are 19 Science Dataset (SDS) layers. The product contains six phenological transition dates: onset of greenness increase, onset of greenness maximum, onset of greenness decrease, onset of greenness minimum, dates of mid-greenup, and senescence phases. The product also includes the growing season length. The greenness related metrics consist of EVI2 onset of greenness increase, EVI2 onset of greenness maximum, EVI2 growing season, rate of greenness increase and rate of greenness decrease. The confidence of phenology detection is provided as greenness agreement growing season, proportion of good quality (PGQ) growing season, PGQ onset greenness increase, PGQ onset greenness maximum, PGQ onset greenness decrease, and PGQ onset greenness minimum. The final layer is quality control specifying the overall quality of the product. A low-resolution browse image showing greenup is also available when viewing each VNP22C2 granule. Important information is provided in Section 5 of the User Guide when comparing VNP22C2 with the MCD12C2 data product. Known Issues * For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=VIIRS). Improvements/Changes from Previous Versions * Improved calibration algorithm and better coefficients for entire Suomi NPP mission * Improved geolocation accuracy and updates to fix outliers around maneuver periods and other events * Corrections to the aerosol quantity flag (low, average, high) mainly over brighter surfaces in the mid to high latitudes such as desert and tropical vegetation areas. This has an impact on the retrieval of other downstream data products such as VNP13 Vegetation Indices and VNP43 BRDF/Albedo. * Improved cloud mask input product for corrections along coastlines and artifacts from use of coarse resolution climatology data * Replaced the land/water mask input product with MODIS heritage seven class land/water mask * More details can be found in this [VIIRS Land V2 Changes document](https://landweb.modaps.eosdis.nasa.gov/data/userguide/VIIRS_Land_C2_Changes_09152022.pdf).

Tags: earth-science-surface-radiative-properties-land-surface-reflectance
Organization: National Aeronautics and Space Administration
VIIRS/NPP Moderate Resolution Terrain-Corrected Geolocation 6-Min L1 Swath 750m NRT

The VIIRS/NPP Moderate Resolution Terrain-Corrected Geolocation L1 6-Min Swath 750m Near Real Time (NRT) product, short-name VNP03MOD_NRT includes the geolocation fields that are calculated for each VIIRS moderate resolution band (M-band) Line of sight (LOS) for all orbits at the nominal resolution of 750 m. The locations and ancillary information correspond to the intersection of the centers of each Field of View (FOV) from 16 detectors in an ideal M-band on the Earth's surface. A digital terrain model is used to model the Earth's surface. The main inputs are the spacecraft attitude and orbit ephemeris data, the instrument telemetry and the digital elevation model. The geolocation fields contained within the VNP03MOD Geolocation files include geodetic latitude, longitude, surface height above the geoid, solar zenith and azimuth angles, satellite zenith and azimuth angles, and a land/water mask for each 750m sample. Additional information is included in the header to enable the calculation of the approximate location of the center of the detectors for any of the VIIRS bands. This product is used as input by subsequent VIIRS Moderate Resolution products, particularly those produced by the Land team.

Tags: earth-science-platform-characteristics-spectral-engineering-attitude-characteristics, earth-science-sensor-characteristics-spectral-engineering-viewing-geometry
Organization: National Aeronautics and Space Administration
U.S. National Ice Center Daily Marginal Ice Zone Products, Version 1

The marginal ice zone (MIZ) is defined by the World Meteorological Organization (WMO) as “the region of an ice cover which is affected by waves and swell penetrating into the ice from the open ocean” (WMO, 2014). This data product is a U.S. National Ice Center (USNIC) rendering of the MIZ as the band of ice in concentrations between 1/10 and 8/10, or about 10% to 80% concentration, that surrounds Arctic and Antarctic pack ice with higher concentrations. The time series begins in September 2004 for the Arctic and January 2010 for the Antarctic.

Tags: earth-science-sea-ice-cryosphere-sea-ice-concentration
Organization: National Aeronautics and Space Administration
VIIRS/NPP Moderate Resolution Terrain-Corrected Geolocation L1 6-Min Swath 750 m

The VIIRS/NPP Moderate Resolution Terrain-Corrected Geolocation 6-Min L1 Swath 750 m product, short-name VNP03MOD, contains the derived line-of-sight (LOS) vectors for each of the 750-m moderate-resolution, or M-bands. The geolocation algorithm uses a number of inputs that include an Earth ellipsoid, geoid, and a digital terrain model along with the SNPP platform’s ephemeris and attitude data, and knowledge of the VIIRS sensor and satellite geometry. It produces geodetic coordinates (latitude and longitude), and related parameters for each VIIRS L1 pixel. The VNP03MOD product includes geodetic latitude, longitude, surface height above the geoid, solar zenith and azimuth angles, sensor zenith and azimuth angles, land/water mask, and quality flag for every pixel location.

Tags: earth-science-geodetics-solid-earth, earth-science-geodetics-solid-earth-coordinate-reference-system, earth-science-sensor-characteristics-spectral-engineering-viewing-geometry
Organization: National Aeronautics and Space Administration