AndreaBozzo/ceres-open-data-index huggingface dataset:
VIIRS/NPP BRDF/Albedo BSA at Solar Noon NIR Daily L3 Global 30ArcSec CMG V002

The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for NIR (VNP43D64) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the [VNP43MA3](https://doi.org/10.5067/VIIRS/VNP43MA3.002) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the [VNP43MA3](https://doi.org/10.5067/VIIRS/VNP43MA3.002) product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D64 is the BSA for the VIIRS NIR broadband (0.865 μm). 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). Improvements/Changes from Previous Version * 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.

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
VIIRS/NPP BRDF/Albedo BSA at Solar Noon DNB Daily L3 Global 30ArcSec CMG V002

The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for Day/Night Band (DNB) product (VNP43D66) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the [VNP43MA3](https://doi.org/10.5067/VIIRS/VNP43MA3.002) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the [VNP43MA3](https://doi.org/10.5067/VIIRS/VNP43MA3.002) product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D66 is the BSA for the VIIRS DNB (0.7 μm). 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). Improvements/Changes from Previous Version * 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.

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
VIIRS/NPP BRDF/Albedo Model Parameters Daily L3 Global 1 km SIN Grid NRT

The VIIRS/NPP BRDF/Albedo Model Parameters Daily L3 Global 1 km SIN Grid NRT (VNP43MA1N) product provides BRDF/Albedo model parameters at 1 km resolution. The VNP43MA1N product is produced daily using 16-day VIIRS data (i.e., the current day and the previous 15 days). The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from VNP43MA1N to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43MA4N), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VNP43MA3N). 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) at https://lpdaac.usgs.gov/sites/default/files/public/product_documentation/vnp43_v1_atbd.pdf The VNP43MA1N data product provides a total of 24 SDS layers including: mandatory quality bands and three multi-dimensional model parameter bands representing fiso, fvol, and fgeo for VIIRS moderate resolution bands: M1-M5, M7-M8, and M10-M11.

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
WindSat/Coriolis surface soil moisture (LPRM) L2 V001 (LPRM_WINDSAT_SOILM2) at GES DISC

WindSat/Coriolis surface soil moisture (LPRM) L2 V001 is a Level 2 (swath) data set. Its land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from polarimetric microwave radiometer data from WindSat, onboard the Naval Research Laboratory's Coriolis satellite, using the Land Parameter Retrieval Model (LPRM). Each swath is packaged with associated geolocation fields. The data set covers the period from February 2003 to July 2012. The LPRM is based on a forward radiative transfer model to retrieve surface soil moisture and vegetation optical depth. The land surface temperature is derived separately from the WindSat's Ka-band (37.0 GHz). A unique feature of this method is that it can be applied at any microwave frequency, making it very suitable to exploit all the available passive microwave data from various satellites. Input data are from the WindSat brightness temperatures (sdrLowRes) product, archived at the Goddard Earth Sciences Data and Information Services Center (GES DISC).

Tags: earth-science-soils-land-surface-soil-moisture-water-content, earth-science-surface-thermal-properties-land-surface-skin-temperature, earth-science-vegetation-biosphere-plant-characteristics-vegetation-water-content
Organization: National Aeronautics and Space Administration
WindSat/Coriolis surface soil moisture (LPRM) L3 1 day 25 km x 25 km nighttime V001 (LPRM_WINDSAT_NT_SOILM3) at GES DISC

WindSat/Coriolis surface soil moisture (LPRM) L3 1 day 25 km x 25 km nighttime V001 is a Level 3 (gridded) data set. Its land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from polarimetric microwave radiometer data from WindSat, onboard the Naval Research Laboratory's Coriolis satellite, using the Land Parameter Retrieval Model (LPRM). There are two files per day, one ascending (daytime) and one descending (nighttime), archived as two different products. This document is for the nighttime product. The data set covers the period from February 2003 to July 2012. The LPRM is based on a forward radiative transfer model to retrieve surface soil moisture and vegetation optical depth. The land surface temperature is derived separately from the WindSat's Ka-band (37.0 GHz). A unique feature of this method is that it can be applied at any microwave frequency, making it very suitable to exploit all the available passive microwave data from various satellites. Input data are from the WindSat brightness temperatures (sdrLowRes) product, nighttime passes, as processed using LPRM (i.e., LPRM/WindSat/Coriolis L2 product, LPRM_WINDSAT_SOILM2_V001).

Tags: earth-science-soils-land-surface-soil-moisture-water-content, earth-science-surface-thermal-properties-land-surface-skin-temperature, earth-science-vegetation-biosphere-plant-characteristics-vegetation-water-content
Organization: National Aeronautics and Space Administration
WindSat/Coriolis surface soil moisture (LPRM) L3 1 day 25 km x 25 km daytime V001 (LPRM_WINDSAT_DY_SOILM3) at GES DISC

WindSat/Coriolis surface soil moisture (LPRM) L3 1 day 25 km x 25 km daytime V001 is a Level 3 (gridded) data set. Its land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from polarimetric microwave radiometer data from WindSat, onboard the Naval Research Laboratory's Coriolis satellite, using the Land Parameter Retrieval Model (LPRM). There are two files per day, one ascending (daytime) and one descending (nighttime), archived as two different products. This document is for the daytime product. The data set covers the period from February 2003 to July 2012. The LPRM is based on a forward radiative transfer model to retrieve surface soil moisture and vegetation optical depth. The land surface temperature is derived separately from the WindSat's Ka-band (37.0 GHz). A unique feature of this method is that it can be applied at any microwave frequency, making it very suitable to exploit all the available passive microwave data from various satellites. Input data are from the WindSat brightness temperatures (sdrLowRes) product, daytime passes, as processed using LPRM (i.e., LPRM/WindSat/Coriolis L2 product, LPRM_WINDSAT_SOILM2_V001).

Tags: earth-science-soils-land-surface-soil-moisture-water-content, earth-science-surface-thermal-properties-land-surface-skin-temperature, earth-science-vegetation-biosphere-plant-characteristics-vegetation-water-content
Organization: National Aeronautics and Space Administration
Woody and Herbaceous Vegetation Change across the Savannas of West Africa, 1982-2013

The WAVeTrends dataset is a 0.05 degree (5.55 km) vegetation change product, spanning the West African Sudano-Sahel region. It provides pixel-wise information on concurrent woody and herbaceous vegetation trends over a 32-year period (1982-2013). Change in woody vegetation was derived using long-term rain use efficiency (RUE) sensitivity, i.e., the per-pixel comparison of the difference of mean RUE between the first and last decades of the 32-year time series. Herbaceous vegetation change was defined by short-term RUE sensitivity, i.e., comparing the slope of the RUE relationship (productivity vs. precipitation) between both decades using per-pixel Analysis of Covariance (ANCOVA). Categorical vegetation change was then determined for each pixel using the direction of the change and a significance level of p<0.05. The use of RUE (the amount of biomass produced per unit of precipitation) for vegetation trend analysis in savanna regions relies on the assumption that rainfall is a significant positive driver of net production in drylands. Testing of this long-term productivity-rainfall relationship revealed that the assumption was not always met, therefore, validity flags are included for each pixel location.

Tags: earth-science-ecological-dynamics-biosphere-ecosystem-functions-primary-production, earth-science-ecosystems-biosphere-terrestrial-ecosystems-savannas, earth-science-habitat-conversion-fragmentation-human-dimensions-reforestation-revegetation, earth-science-precipitation-atmosphere-liquid-precipitation-rain, earth-science-vegetation-biosphere-vegetation-cover, earth-science-vegetation-biosphere-vegetation-index-normalized-difference-vegetation-index-ndvi
Organization: National Aeronautics and Space Administration
VIIRS/NPP BRDF/Albedo Parameter 3 Band M11 Daily L3 Global 30 ArcSec CMG V002

The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Band M11 product (VNP43D27) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the [VNP43MA1](https://doi.org/10.5067/VIIRS/VNP43MA1.002) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the [VNP43MA1](https://doi.org/10.5067/VIIRS/VNP43MA1.002) product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D27 is the BRDF geometric parameter for VIIRS band M11 (2.25 μm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M11. 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). Improvements/Changes from Previous Version * 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.

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
World Glacier Inventory, Version 1

Notice: Due to funding limitations, this data set was recently changed to a “Basic” Level of Service. Learn more about what this means for users and how you can share your story here: <a href="https://nsidc.org/data/user-resources/data-announcements/user-notice-level-service-update-data-products">Level of Service Update for Data Products</a>.<br><br> The World Glacier Inventory (WGI) contains information for over 130,000 glaciers, or about 85% of the total estimated number of glaciers. Inventory parameters include geographic location, area, length, orientation, elevation, and classification. The WGI is based primarily on aerial photographs and maps with most glaciers having one data entry only. Hence, the dataset can be viewed as a snapshot of the glacier distribution in the second half of the 20th century. It is based on the original WGI (WGMS 1989) from the World Glacier Monitoring Service (WGMS).

Tags: earth-science-glaciers-ice-sheets-cryosphere-glaciers-glaciers, earth-science-glaciers-ice-sheets-terrestrial-hydrosphere-glaciers-glaciers
Organization: National Aeronautics and Space Administration
VIIRS/NPP BRDF/Albedo Parameter 3 Band M10 Daily L3 Global 30 ArcSec CMG V002

The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Band M10 product (VNP43D24) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the [VNP43MA1](https://doi.org/10.5067/VIIRS/VNP43MA1.002) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the [VNP43MA1](https://doi.org/10.5067/VIIRS/VNP43MA1.002) product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D24 is the BRDF geometric parameter for VIIRS band M10 (1.61 μm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M10. 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). Improvements/Changes from Previous Version * 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.

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
Woody Biomass for Eastern U.S. Forests, 1983-1996

Estimates of the woody biomass density and pools were derived at the county scale of resolution of all forests of the eastern United States using new approaches for converting inventoried wood volume to estimates of above and belowground biomass. Biomass density and pools were estimated from the US Department of Agriculture Forest Service, Forest Inventory and Analysis database on growing stock volume by forest type and stand size-class. Estimates were compiled for 2,009 counties in the 33 Eastern states based on state-based inventories conducted between 1983 and 1996 (see Brown and Schroeder 1999). Stand volume was converted to aboveground biomass with regression equations for biomass expansion factors (BEF; ratio of aboveground biomass density of all living trees to merchantable volume). Belowground biomass was estimated as a function of aboveground biomass with regression equations. Biomass pools were calculated as the product of biomass density and forest area, summed by stand-size class. Forest area was defined by the Forest Service as land producing or capable of producing in excess of 20 cubic feet per acre per year of industrial roundwood products. Statistics were presented for hardwood and softwood (pine plus spruce-fir) forest categories. The approach accounted for commercial and non commercial tree species with diameters greater than 2.5 cm and included noncommercial tree components (branches, twigs, and leaves). Belowground components include both fine and coarse roots.The estimation methods were based on work by Schroeder et al. 1997 and were also used to estimate aboveground woody production (Brown and Schroeder 1999).Based on the analysis of the biomass data (Brown et al. 1999), total biomass density for hardwood forests ranged from 36 to 344 Mg ha-1, with an area-weighted mean of 159 Mg ha-1. About 50% of all counties had hardwood forests with biomass densities between 125 and 175 Mg ha-1. For softwood forests, biomass density ranged from 2 to 346 Mg ha-1, with an area-weighted mean of 110 Mg ha-1. Biomass densities were generally lower for softwoods than for hardwoods; ca. 40% of all counties had softwood forests with biomass densities between 75 and 125 Mg ha-1. Highest amounts of forest biomass were located in the Northern Lake states, mountain areas of the Mid-Atlantic states, and parts of New England, and lowest amounts in the Midwest states. The total biomass for all eastern forests for the late 1980s was estimated at 20.5 Pg, 80% of which was in hardwood forests. Maps (Brown et al. 1999) provided a visual representation of the pattern of forest biomass densities and pools over space that are useful for forest managers and decision makers, and for verification of vegetation models.

Tags: earth-science-vegetation-biosphere-biomass
Organization: National Aeronautics and Space Administration