EOSDIS New Datasets: November 2017

GES DISC

NASA's Goddard Earth Science Data and Information Service Center (GES DISC) published the Nimbus 7 Temperature-Humidity Infrared Radiometer (THIR) Level 1 Cloud Data for SBUV/TOMS (BCLT) product was released to the public. The THIR data are averaged each orbit onto each of the Nimbus 7 TOMS and SBUV IFOVs. These data are available from October 31, 1978 through October 27, 1984. In the THIR, the 6.7 μm channel gave information on the moisture content of the upper troposphere and stratosphere and the location of jet streams and frontal systems. The 11.5 µm channel provided both day and night cloud top or surface temperatures.

GES DISC began rolling out the Orbiting Carbon Observatory–2 (OCO-2) Version 8 dataset. In the initial phase, only the highest quality, "retrospectively" processed data are being released. V8 has been processed with an updated version of the OCO-2 Level 1 (L1) and Level 2 algorithms. The latest versions of the algorithms include updated radiometric calibration for the L1B product; updated spectroscopic parameters; addition of stratospheric aerosols; and a more realistic treatment of surface reflectance in the L2 algorithm.

GES DISC released eight new Carbon Monitoring System (CMS) Carbon Flux (CMS-Flux) datasets. These datasets contain global estimates of various components of the carbon cycle, constrained by satellite observations, produced by CMS-Flux carbon cycle data assimilation system. The total CO2 flux, which is the net sum of all carbon fluxes, is currently available for 2010 through 2012; however, the dataset will eventually be extended through 2016.

GHRC DAAC

NASA's Global Hydrometeorology Resource Center Distributed Active Archive Center (GHRC DAAC) published the Global Precipitation Measurement Ground Validation (GPM-GV) Advanced Vertical Atmospheric Profiling System (AVAPS) Olympic Mountains Experiment (OLYMPEX) dataset

This dataset contains dropsonde vertical profiles of atmospheric pressure, air temperature, dew point temperature, relative humidity, wind direction and magnitude, and sensor location obtained during the OLYMPEX. The AVAPS dropsondes were released during specific NASA DC-8 aircraft flights between November 12, 2015 and December 19, 2015. A total of 53 standard research dropsondes were dropped over the Pacific Ocean off the coast of Washington state that collected atmospheric profile observations. The AVAPS dataset is available in American Standard Code for Information Interchange (ASCII)-eol text format.

GHRC DAAC also published the GPM-GV Cloud Physics Lidar (CPL) OLYMPEX dataset

The dataset consists of extinction profiles, layer optical depth, layer lidar ratio, and aircraft parameter measurements measured by the CPL flown on the NASA ER-2 aircraft during the GPM OLYMPEX campaign. The CPL instrument is a multi-wavelength backscatter lidar that provides multi-wavelength measurements of cirrus and aerosols with high temporal and spatial resolution. Data files are available from November 9, 2015 through December 15, 2015 in HDF-5 format with measurement layer information in ASCII text files. Browse images in GIF format contain optical depth and flight path images.

GHRC DAAC published the Global Precipitation Measurement Ground Validation (GPM-GV) Doppler on Wheels (DOW) Olympic Peninsula during the Olympic Mountain Experiment (OLYMPEX) dataset. This dataset contains radar reflectivity data from a dual-polarization, dual-frequency X-band mobile radar operated by the Center for Severe Weather Research (CSWR). The DOW radar operates on a truck that was located at the edge of Lake Quinault in the Chehalis Valley of the OLYMPEX campaign. The goal of the OLYMPEX field campaign was to collect observations to improve understanding of the orographic enhancement of precipitation during frontal passages over mountain ranges. The DOW radar uses two 250 kW transmitters with a measurement range of roughly 60 km. CF-Radial data files are available from 06 November 2015 to 15 January 2016 in the netCDF-4 file format. There is 1 radar volume per file representing 10 minutes of data.

GHRC DAAC published the GPM-GV NASA ER-2 Navigation Data OLYMPEX dataset. This dataset supplies navigation data collected by the high-flying NASA ER-2 aircraft for flights that occurred during November 9, 2015 through December 15, 2015 during the GPM-GV OLYMPEX field campaign. This ER-2 navigation dataset consists of multiple altitude, pressure, temperature parameters, airspeed, and ground speed measurements in ASCII, ASCII-IWG1, and XML data file formats.

GHRC DAAC published two datasets providing aircraft navigation data for flights that occurred during November 5, 2015 through December 19, 2015 for the Olympic Mountains Experiment (OLYMPEX) Global Precipitation Measurement Ground Validation (GPM-GV) field campaign. Each consists of multiple altitude, pressure, temperature, airspeed, and ground speed measurements.

NASA's Land Processes DAAC (LP DAAC) released the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data 30 meter (GFSAD30) Cropland Extent data products.The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30 collection provides cropland extent data across the globe, divided and distributed into 7 separate regional datasets, for nominal year 2015 (2010 for North America) at 30 meter resolution. Additionally, the validation dataset used to conduct an independent accuracy assessment of global cropland extent is available.
The Digital Object Identifier (DOI) for each dataset is given below to provide users with a persistent link to the product information.

NSIDC DAAC

NASA's National Snow and Ice Data Center DAAC (NSIDC DAAC) published additional campaign data through 18 November 2016 for the dataset NASA IceBridge Ku-Band Radar Level 1B (L1B) Geolocated Radar Echo Strength.

NSIDC DAAC published additional campaign data through 18 November 2016 for the dataset NASA IceBridge Snow Radar L1B Geolocated Radar Echo Strength.

NSIDC DAAC published the beta version of the dataset SMAP/Sentinel-1 L2 Radiometer/Radar 30-Second Scene 3 km Equal-Area Scalable Earth (EASE)-Grid Soil Moisture. L-band radiometer measurements from the Soil Moisture Active Passive (SMAP) satellite and C-band radar measurements from the European Space Agency Copernicus Sentinel-1 satellite are combined to produce high-resolution soil moisture estimates.

NSIDC DAAC published the SMAP Science Data System (SDS) began forward processing for the data on 27 October 2017. Data reprocessing from 01 April 2015 to 27 October 2017 will start in mid-November 2017. The data will be made available as they are processed, and registered users will be notified when reprocessing is complete. These beta-quality data use preliminary algorithms that are still being validated and are therefore subject to uncertainties. The calibrated/validated release of this dataset is expected to occur in Spring 2018.

NSIDC DAAC published the dataset Greenland Annual Accumulation along the Expéditions Glaciologiques Internationales au Groenland (EGIG) Line, 1959–2004, from Airborne Radar and Neutron Probe Densities. This dataset reports mean annual snow accumulation rates (meters water equivalent) at 3 meter intervals along a 250-km segment of the EGIG line. Accumulation rates are derived from Airborne synthetic aperture radar (SAR)/Interferometric Radar Altimeter System (ASIRAS) data and high-resolution neutron-probe density profiles.

NSIDC DAAC has published the dataset Greenland Annual Accumulation along the EGIG Line, 1959–2004, from Airborne Radar and Neutron Probe Densities. This dataset reports mean annual snow accumulation rates (meters water equivalent) at 3 meter intervals along a 250 km segment of the EGIG line. Accumulation rates are derived from ASIRAS data and high-resolution neutron-probe density profiles.

NSIDC DAAC has published the dataset Visible Infrared Imaging Radiometer Suite (VIIRS)/Suomi National Polar-orbiting Partnership (Suomi NPP) Sea Ice Cover 6-Min Level 2 (L2) Swath 375 m (VNP29). The Visible Infrared Imaging Radiometer Suite (VIIRS) sea ice cover algorithm has been specifically designed to be compatible with the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Version 6 sea ice datasets, to ensure continuity between the products and facilitate a climate-data record from the three sensors. This dataset is currently being generated by our data provider and delivered to NSIDC DAAC as the files are produced. As such, data will only be available for limited date ranges until processing has been completed. When finished, the temporal coverage will span 1 January 2012 to present. VIIRS flies on board the joint NASA/NOAA Suomi NPP satellite and acquires visible and infrared imagery and radiometric measurements of the land, atmosphere, cryosphere, and oceans.

NSIDC DAAC has published Version 3 of the dataset Bootstrap Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS. The following changes were made to this version of data:

  • Inter-calbration techniques between SMMR and F08, as well as F08 and F11 where changed to match sea ice area rather than sea ice extent
  • Ocean tie points now change each day (similar to the ice tie points) based on brightness temperatures for that day
  • The threshold for the lower limit for ice was relaxed to allow retrieval of ice at 10 percent ice concentration

ORNL DAAC

NASA's Oak Ridge National Laboratory DAAC (ORNL DAAC) published the Carbon Monitoring System (CMS) dataset CMS: Lidar Data for Forested Sites on Borneo Island, Kalimantan, Indonesia, 2014. This dataset provides airborne lidar data collected over 90 sites totaling approximately 100,000 hectares of forested land in Kalimantan, Indonesia on the island of Borneo in late 2014. The data were collected as part of an effort to establish a national forest monitoring system for Indonesia that uses a combination of remote sensing and ground-based forest carbon inventory approaches.

ORNL DAAC published the CMS dataset CMS: Lidar-derived Canopy Height, Elevation for Sites in Kalimantan, Indonesia, 2014. This dataset provides canopy height and elevation data products derived from airborne lidar data collected over 90 sites on the island of Borneo in late 2014. The sites cover approximately 100,000 hectares of forested land in Kalimantan, Indonesia. The data were produced as part of an effort to improve a national forest monitoring system for Indonesia that uses a combination of remote sensing and ground-based forest carbon inventory approaches.

ORNL DAAC published the Arctic-Boreal Vulnerability Experiment (ABoVE) dataset ABoVE: Last Day of Spring Snow, Alaska, USA, and Yukon Territory, Canada, 2000-2016. This dataset provides the last day of spring snow cover for most of Alaska and the Yukon Territory for 2000 through 2016. The data are based on the MODIS daily snow cover fraction product (MODSCAG) and are provided at 500-m resolution.

ORNL DAAC published a new Vegetation dataset lidar Data, digital elevation model (DEM), and Maximum Vegetation Height Product from Southern Idaho, 2014. This dataset provides the point cloud data derived from small footprint waveform lidar data collected in August 2014 over Reynolds Creek Experimental Watershed and Hollister in southern Idaho.

ORNL DAAC published a new dataset MODIS Collection 6 Land Product Subsets Web Service. The MODIS Web Service provides data access capabilities for MODIS Collection 6 land products. The web service provides data access functions for users to execute on their local computing resources.

SEDAC

NASA's Socioeconomic Data and Applications Center (SEDAC) released the Global Population Projection Grids Based on Shared Socioeconomic Pathways (SSPs), v1 (2010-2100) on 23 October for beta testing as part of the SEDAC Population Dynamics data collection. These data consist of global spatial population projections at a resolution of one-eighth degree (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 for the analysis of land use, energy use, and emissions, as well as for the assessment of climate change vulnerability, impacts and adaptation. The SSPs were developed to support future climate and global change research and the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

The India Annual Winter Cropped Area, v1 (2001-2016) dataset was released 27 October for beta testing as part of the SEDAC India data collection. These data consist of consist of annual winter cropped areas for most of India (except the Northeastern states) from 2000-2001 to 2015-2016. This dataset utilizes the NASA Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI; spatial resolution: 250m) for the winter growing season (October-March). The methodology uses an automated algorithm identifying the EVI peak in each pixel for each year and linearly scales the EVI value between 0% and 100% cropped area within that particular pixel. Data were validated using high-resolution QuickBird, RapidEye, SkySat, and WorldView-2 images spanning 2008 to 2016 across 11 different agricultural regions of India.

SEDAC released the Global Man-made Impervious Surface (GMIS) and Human Built-up and Settlement Extent (HBASE) data sets and the accompanying data visualization and access app for beta testing on 30 October. These data were developed by E. Brown de Coulston from NASA's Goddard Space Flight Center and colleagues with support from NASA's Land Cover and Land Use Change (LCLUC) Program. The data were derived primarily from the Global Land Survey (GLS) Landsat dataset for the target year 2010.

The India Annual Winter Cropped Area, v1 (2001-2016) dataset was released 10 November in production as part of SEDAC India data collection. These data consist of annual winter cropped areas for most of India (except the Northeastern states) from 2000-2001 to 2015-2016. This dataset utilizes the MODIS Enhanced Vegetation Index (EVI; spatial resolution: 250m) for the winter growing season (October-March). The data are based on an automated algorithm that identifies the EVI peak in each pixel for each year and linearly scales the EVI value between 0% and 100% cropped area within that particular pixel. Data were validated using high-resolution QuickBird, RapidEye, SkySat, and WorldView-2 images spanning 2008 to 2016 across 11 different agricultural regions of India.

NASA's Worldview/Global Imagery Browse Services (GIBS) reports that the following layers were updated or added:

  • Added 2 Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera Radiance layers
  • MODIS Land layers now available back to 2007!
  • Added 45 Advanced Microwave Sounding Unit (AMSU-A) Brightness Temperature Channels 1-15 layers for NOAA-15, -16 and -17


Access the new datasets archive

Page Last Updated: Jun 2, 2021 at 1:27 PM EDT