EOSDIS Data News - 12/15/2017
NASA's Goddard Earth Sciences Data and Information Services Center (GES DISC) published the dataset Microwave Limb Sounder (MLS) version 4.2 near-real-time (NRT) data. This upgrade increases the vertical height range of the NRT temperature product to provide additional coverage in the upper stratosphere/ lower mesosphere (up to 0.001 hectoPascals). For those currently using the version 3 NRT products, it is expected to continue to be produced in parallel with version 4 NRT for the next several months, nominally until 1 April 2018, at which time the v3 NRT processing will be discontinued. The data are derived from MLS retrievals. NRT data do not have DOI reference listings.
NASA's Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC) published the Carbon Monitoring System dataset CMS: LiDAR Data for Mangrove Forests in the Zambezi River Delta, Mozambique, 2014. This dataset provides high-resolution LiDAR point cloud data collected during surveys over mangrove forests in the Zambezi River Delta in Mozambique in May 2014. The data are arranged into 144 1- by 1-km tiles.
- Data set DOI: https://doi.org/10.3334/ORNLDAAC/1521
ORNL DAAC published the Carbon Monitoring System dataset CMS: Aboveground Biomass for Mangrove Forest, Zambezi River Delta, Mozambique. This dataset provides several estimates of aboveground biomass from various regressions and allometries for mangrove forest in the Zambezi River Delta, Mozambique. Plot level estimates of aboveground biomass are based on extensive tree biophysical measurements from field campaigns conducted in September and October of 2012 and 2013. Aboveground biomass estimates for the larger area of mangrove coverage within the delta are based on (1) the plot level data and (2) canopy structure data derived from airborne LiDAR surveys in 2014.
- Data set DOI: https://doi.org/10.3334/ORNLDAAC/1522
This dataset has been added to SDAT as well (see https://webmap.ornl.gov/ogc/dataset.jsp?ds_id=1522 ).
ORNL DAAC published the Atmospheric Carbon and Transport – America dataset ACT-America: L2 In Situ Atmospheric CO2, CO, CH4, and O3 Concentrations, Eastern USA. This dataset provides atmospheric carbon dioxide (CO2), carbon monoxide (CO), methane (CH4), and ozone (O3) concentrations collected during airborne campaigns conducted by the Atmospheric Carbon and Transport-America (ACT-America) project. ACT-America's mission spans 5 years and includes five 6-week field campaigns covering all 4 seasons and 3 regions of the central and eastern United States. Complete aircraft flight information including, but not limited to, latitude, longitude, and altitude are also provided.
- Data set DOI: https://doi.org/10.3334/ORNLDAAC/1556
ORNL DAAC published the ORNL DAAC MODIS Subsets tool dataset MODIS Collection 6 Land Products Fixed Sites Subsetting and Visualization Tool. The MODIS Fixed Sites Subsetting Tool provides customized subsets and visualizations of several MODIS Collection 6 land products for 2000+ selected field and flux tower sites around the world. Spatial subsets of the land products are available for predefined areas (approximately 8.5- by 8.5-km) centered on the selected sites. Users select a site and land product through the graphical web interface and are directed to a page with options for data download and visualizations.
- Data set DOI: https://doi.org/10.3334/ORNLDAAC/1567
NASA's Physical Oceanography DAAC (PO.DAAC) reported on the latest status of the Cyclone Global Navigation Satellite System (CYGNSS) mission data ingest.
- All Version 2.0 sample data files have passed testing through the PO.DAAC system interface and metadata compliance validation.
- All Version 2.0 data has bee fully processed and made available for PO.DAAC to ingest.
- PO.DAAC has thus far ingested 64% of available Level 1 data files and 100% of available Level 2 and Level 3 data files, covering the entire available time series from 18 March 2017 through 8 December 2017.
- Metadata export to CMR and EMS capability has been set up
- Anticipate opening the collection to the public on Monday, December 18.
NASA's Socioeconomic Data and Applications Center (SEDAC) released the dataset, Global Population Projection Grids Based on Shared Socioeconomic Pathways (SSPs), 2010-2100, on 8 December as part of the SEDAC Population Dynamics data collection. The data set provides global gridded population projections at a resolution of 7.5 arc-minutes for urban, rural, and total population, consistent both quantitatively and qualitatively with the SSPs at ten-year intervals for 2010-2100. Spatial demographic projections are key inputs into studies of future land use, energy use, and emissions and the assessment of climate change vulnerability, impacts, and adaptation.
- Data set DOI: https://doi.org/10.1088/1748-9326/11/8/084003
SEDAC released two related datasets developed by E. Brown de Coulston of GSFC and colleagues on 8 December, together with an interactive data visualization and access tool. The Global Man-made Impervious Surface (GMIS) Dataset From Landsat consists of global estimates of fractional impervious cover at 30-meter resolution derived from the Global Land Survey (GLS) Landsat dataset for the target year 2010. GMIS includes 2 layers: global percent of impervious cover and per-pixel associated uncertainty for the global impervious cover. The Global Human Built-up And Settlement Extent (HBASE) Dataset from Landsat also has two layers: the HBASE mask and the pixel-wise probability of HBASE. The HBASE mask was created for post-processing of the GMIS dataset, but can also be utilized by users needing a binary map. All of the layers are co-registered to the same spatial extent at a common 30-meter spatial resolution. These datasets are expected to support urban land cover studies from local to global scales as well as those modeling climate/environmental impacts of man-made surfaces.
The data may be viewed and subsetted using a 4-panel map interface adapted from the SEDAC Map Viewer: http://sedac.ciesin.columbia.edu/mapping/gmis-hbase/explore-view/.
Last Updated: Aug 24, 2018 at 2:41 PM EDT