EOSDIS Data News - 03/02/2018
NASA's Jet Propulsion Laboratory (JPL) MISR project and NASA's Atmospheric Science Data Center (ASDC) announce the release of new versions of the MISR Level 2 (L2) Aerosol Product, the MISR L2 Land Surface Product, and the Level 3 (L3) Component Global Aerosol and Land Surface Products.
The Global Hydrology Resource Center (GHRC) DAAC published the Global Precipitation Measurement (GPM) Ground Validation (GV) NOAA X-band Polarimetric Radar (NOXP) IPHEx dataset. This dataset consists of differential reflectivity, differential phase shift, co-polar cross correlation, radial Doppler velocity, reflectivity, and other radar parameters, collected by NOXP mobile radar during the GPM Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign. The IPHEx field campaign occurred in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina during April 21, 2014 through June 15, 2014. The NOXP radar, operated by the NOAA National Severe Storm Laboratory (NSSL), was positioned in the Pigeon River basin of the Great Smoky Mountains of North Carolina. NOXP data are available in netCDF-3 format. The dataset includes weather condition photos taken at the NOXP radar location.
- Data set DOI: http://dx.doi.org/10.5067/GPMGV/IPHEX/NOXP/DATA101
NASA's Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC) published the Arctic-Boreal Vulnerability Experiment dataset ABoVE: Gridded 30-m Aboveground Biomass, Shrub Dominance, North Slope, AK, 2007-2016. This dataset includes 30-m gridded estimates of total plant aboveground biomass (AGB), the shrub AGB, and the shrub dominance (shrub/plant AGB) for non-water portions of the Beaufort Coastal Plain and Brooks Foothills ecoregions of the North Slope of Alaska. The estimates were derived by linking biomass harvests from 28 published field site datasets with NDVI from a regional Landsat mosaic derived from Landsat 5 and 7 satellite imagery. The data cover the period 2007-06-01 to 2016-08-31.
- Data set DOI: https://doi.org/10.3334/ORNLDAAC/1565
ORNL DAAC published the Vegetation Collection dataset Tree Inventory and Biometry Measurements, Tapajos National Forest, Para, Brazil, 2010. This dataset provides tree inventory, tree height, diameter at breast height (DBH), and estimated crown measurements from 30 plots located in the Tapajos National Forest, Para, Brazil collected in September 2010. The plots were located in primary forest, primary forest subject to reduced-impact selective logging (PFL) between 1999 and 2003, and secondary forest (SF) with different age and disturbance histories. Plots were centered on GLAS (the Geoscience Laser Altimeter System) LiDAR instrument footprints selected along two sensor acquisition tracks spanning a wide range in vertical structure and aboveground biomass.
- Data set DOI: https://doi.org/10.3334/ORNLDAAC/1552
ORNL DAAC published the following data set in its Spatial Data Access Tool (SDAT): ABoVE: Gridded 30-m Aboveground Biomass, Shrub Dominance, North Slope, AK, 2007-2016 (see https://webmap.ornl.gov/ogc/dataset.jsp?ds_id=1565).
NASA's Physical Oceanography DAAC (PO.DAAC) released the PI-produced JPL V4.0 SMAP Sea Surface Salinity (SSS) and extreme winds data on February 22, 2018. This release includes Level-2B and Level 3 products based on the JPL Combined Active-Passive (CAP) algorithm applied to data from NASA's Soil Moisture Active Passive (SMAP) observatory. See https://podaac.jpl.nasa.gov/highlights/JPL_SMAP-SSS_V4_dataset_release.
NASA's Socioeconomic Data and Applications Center (SEDAC) completed release of two data sets based on the Global Fire Emissions Data v.4 (GFED4) on 23 February, the Global Fire Emissions Indicators, Country-Level Tabular Data, v1 (1997-2015) and the Global Fire Emissions Indicators, Grids, v1 (1997-2015). The Country-Level Tabular Data summarize the data by country and by year, whereas the grids provide the data in GeoTIFF as an alternative to the NetCDF5. The data are derived from Global Fire Emissions Database version 4 (GFED4), which is a modeled product based on burned area data from the Along-Track Scanning Radiometer (ATSR) and TRMM Visible and Infrared Scanner (VIRS) (pre-2001) and MODIS sensors (post-2001).
Last Updated: Aug 24, 2018 at 2:22 PM EDT