EOSDIS New Datasets: July 2018
NASA's Global Hydrometeorology Resource Center Distributed Active Archive Center (GHRC DAAC) published the Global Precipitation Measurement Ground Validation (GPM-GV) Global Flood Monitoring System (GFMS) Flood Maps Iowa Flood Studies (IFloodS) dataset. This dataset contains global flood estimates on a 0.25 degree spatial resolution every 3 hours, from March 26, 2013 through June 30, 2013. These data are provided in support of the IFloodS experiment conducted in eastern Iowa. The goals of the IFloodS campaign were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. The data are available in netCDF-4 and ASCII formats. Flood map and rain graph files are available in KMZ, JPG, and GIF formats.
GHRC DAAC published new versions (p0.2) of four different datasets from the Lightning Imaging Sensor onboard the International Space Station - LIS (ISS): near real-time (NRT) LIS (ISS) Provisional Science Data, NRT LIS (ISS) Provisional Backgrounds, Non-Quality Controlled LIS (ISS) Provisional Science Data, and Non-Quality Controlled LIS (ISS) Provisional Backgrounds. This data collection is useful for severe storm detection and analysis, as well as for lightning-atmosphere interaction studies. The LIS instrument makes measurements during both day and night with high detection efficiency. This new version contains improved geolocation and time changes. The data are available in both HDF-4 and netCDF-4 formats, with corresponding browse images in GIF format. Please note that these LIS (ISS) data are provisional files indicating that the algorithm is still under development and the data may contain errors. Use the data with caution and do not use for research leading to publications or presentations without consent of the data provider. Please give feedback directly to the data provider. Quality controlled data are currently unavailable, but will be available later this year.
GHRC DAAC published the GPM-GV Tropical Rainfall Measurement Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) IFloodS dataset. This dataset is a subset of the TMPA 3B42RT gridded precipitation real-time product selected for the time period of the GPM-GV IFloodS held in Iowa during April 1, 2013 to June 30, 2013. The goals of IFloodS were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. TMPA is a calibration-based sequential scheme for combining microwave (MW) and infrared (IR) precipitation estimates from multiple satellites, as well as surface precipitation gauge analyses where feasible, to produce precipitation estimates at fine scales: 3-hourly, 0.25 degree maps. The TMPA IFloodS product is available in netCDF-4 and binary formats, as well as 3-hour rainfall browse images in JPG format. It should be noted that the GPM-GV TRMM TMPA IFloodS dataset is a temporal subset of the TMPA 3B42RT Version-7 gridded precipitation product available at https://pmm.nasa.gov/data-access/downloads/trmm. The version number of this dataset matches the original TMPA product at NASA's Goddard Space Flight Center.
NASA's Land Processes DAAC (LP DAAC) produced the Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Net Evapotranspiration 8-Day L4 Global 500 m SIN Grid (MYD16A2) Version 6 data product has been reprocessed for years 2002, 2005, 2006, 2007, and 2008 to correct systematic errors that occurred when the data were initially released. The data are now available again for download from the Land Processes DAAC (LP DAAC) Data Pool, NASA's Earthdata Search, and the Application for Extracting and Exploring Analysis Ready Samples (AppEEARS). The data product provides global coverage of Evapotranspiration, Latent Heat Flux, Potential Evapotranspiration, and Potential Latent Heat Flux along with a quality control layer at 500 meter pixel resolution.
NASA's National Snow and Ice Data Center DAAC (NSIDC DAAC) has published data from 22 March 2018 to 16 April 2018 for the dataset IceBridge Sea Ice Freeboard, Snow Depth, and Thickness Quick Look. This dataset is an evaluation product containing derived geophysical data products retrieved over the Arctic sea ice cover using the IceBridge Airborne Topographic Mapper (ATM), Snow Radar, Digital Mapping System (DMS), and KT19 pyrometer.
NSIDC DAAC has published data from 22 March 2017 through 31 March 2017 for the dataset IceBridge Lamont-Doherty Earth Observatory (LDEO) Gravimeter Suite Level 1B (L1B) Geolocated Free Air Gravity Anomalies. This dataset contains gravity measurements taken over Greenland by the LDEO Gravimeter Suite. This dataset is available as part of an early release. An increased Level of Service and more detailed documentation will be available in the future.
NSIDC DAAC has published data through 25 November 2017 for the dataset IceBridge ATM L1B Elevation and Return Strength with Waveforms.
NSIDC DAAC has published data through 25 November 2017 for the dataset IceBridge KT19 IR Surface Temperature. This dataset contains surface temperature measurements of Arctic and Antarctic sea ice and land ice acquired by the Heitronics KT19.85 Series II Infrared Radiation Pyrometer and the NASA ATM instrument onboard the NASA P-3 and NASA DC-8 aircraft.
NSIDC DAAC has published data through 22 November 2017 for the dataset IceBridge Narrow Swath ATM L1B Elevation and Return Strength. This dataset contains spot elevation measurements of Greenland, Arctic, and Antarctic sea ice acquired using the NASA ATM narrow-swath instrumentation.
NSIDC DAAC has published data through 25 November 2017 for the dataset IceBridge ATM L2 Icessn Elevation, Slope, and Roughness. This dataset contains resampled and smoothed elevation measurements of Arctic and Antarctic sea ice, and Greenland, Antarctic Peninsula, and West Antarctic region land ice surface acquired using the NASA ATM instrumentation.
NSIDC DAAC has published data through 25 November 2017 for the dataset IceBridge ATM L1B Elevation and Return Strength. This dataset contains spot elevation measurements of Arctic and Antarctic sea ice, and Greenland, Antarctic Peninsula, and West Antarctic region ice surface acquired using the NASA ATM instrumentation.
NSIDC DAAC has published data through May 2018 for the dataset Making Earth System Data Records for Use in Research Environments (MEaSUREs) Greenland Image Mosaics from Sentinel-1A and -1B, Version 2. This dataset, part of the MEaSUREs Program, provides 6 and 12-day 50 m resolution image mosaics of the Greenland coastline and ice sheet periphery beginning in January 2015. The mosaics are derived from C-band Synthetic Aperture Radar (C-SAR) acquired by the Copernicus Sentinel-1A and -1B imaging satellites.
NSIDC DAAC has published Version 3.1 of the dataset Bootstrap Sea Ice Concentrations from Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave Imager (SSM/I)-Special Sensor Microwave Imager Sounder (SSMIS). In this minor version release, the sea ice concentration field derived from the Bootstrap algorithm uses an “open water” identifier that is calculated daily in May and October. In Version 3.0, this value was calculated using a single monthly value for May and a single monthly value for October. The difference in total Arctic sea ice area and sea ice extent between the two versions is typically small (less than ± 0.5%), except in the second half of May when daily sea ice areas are often 0.5-1.5% higher and extents are 1-3% higher in Version 3.1 than in Version 3.0.
NSIDC DAAC has published the dataset MEaSUREs Moderate Resolution Imaging Spectroradiometer (MODIS) Mosaic of Antarctica 2013-2014 (MOA2014) Image Map, Version 1. This dataset, part of the MEaSUREs Program, includes two image maps produced from composited image swath data acquired by MODIS over Antarctica for the 2013-2014 austral summer season. The two image maps, a snow grain size map and a surface morphology map, are both provided at two different grid scales of 125 m and 750 m resolution. These data are a follow on to the MOA2004 and MOA2009 datasets.
NSIDC DAAC has published the dataset High Mountain Asia Advanced Scatterometer (ASCAT) Freeze/Thaw/Melt Status, 2009-2017. This dataset contains bulk landscape frozen or thawed status over seasonally frozen land as well as snowmelt status over glacierized areas for the High Mountain Asia region. These data are derived from vertically polarized (V-pol) C-band (5.255 GHz) backscatter measurements acquired by ASCAT on European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) MetOp-A and MetOp-B satellites and are posted on Earth-fixed 4.45 km grids.
NSIDC DAAC has published the dataset Snow Experiment 2017 (SnowEx17) Cold Regions Research and Engineering Laboratory (CRREL) Differential Global Navigation Satellite Systems (GNSS) Survey. This dataset contains the coordinates of SnowEx infrastructure in Grand Mesa, Colorado, collected through a differential GNSS real-time kinematic (RTK) survey. The surveys were conducted at 244 stakes along 90 transects, 31 snow pits, 24 time-lapse cameras, and 15 reference poles used to estimate snow depth from camera images. Data files report the name, location, elevation, horizontal and vertical precision, date and time, original easting and northing, and any relevant notes for each survey point.
NSIDC DAAC has published data through July 5, 2018 for the dataset Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave Imager (SSM/I)-Special Sensor Microwave Imager Sounder (SSMIS) Pathfinder Daily Equal-Area Scalable Earth (EASE)-Grid Brightness Temperatures, Version 2. The dataset consists of gridded data from the SSM/I and SSMIS in three equal-area projections: Northern Hemisphere, Southern Hemisphere, and full global.
NSIDC DAAC has published data through July 5, 2018 for the dataset DMSP SSM/I-SSMIS Daily Polar Gridded Brightness Temperatures, Version 4. This dataset provides daily gridded brightness temperatures derived from passive microwave sensors and distributed in a polar stereographic projection.
NASA's Oak Ridge National Laboratory DAAC (ORNL DAAC) published the first data from the Africa synthetic aperture radar (AfriSAR) airborne campaign: AfriSAR: Rainforest Canopy Height Derived from Polarimetric Interferometric SAR (PolInSAR) and lidar data, Gabon. This dataset provides estimates of forest canopy height and canopy height uncertainty for study areas in the Pongara National Park and the Lope National Park, Gabon. Two canopy height products are included: 1) Canopy height was derived from multi-baseline PolInSAR data using an inversion of the random volume over ground (RVoG) model and Kapok, an open source Python library. 2) Canopy height was derived from a fusion of PolInSAR and Land, Vegetation, and Ice Sensor (LVIS) lidar data. This dataset also includes various intermediate parameters of the PolInSAR data (including radar backscatter, coherence, and viewing and terrain geometry) which provide additional insight into the input data used to invert the RVoG model and accuracy of the canopy height estimates. The AfriSAR campaign was flown from 2016-02-27 to 2016-03-08. AfriSAR data were collected by NASA, in collaboration with the European Space Agency and the Gabonese Space Agency.
ORNL DAAC published the Atmospheric Carbon and Transport - America (ACT-America) dataset ACT-America: L3 Merged In Situ Atmospheric Trace Gases and Flask Data, Eastern USA. This dataset provides three merged data products acquired during flights over the central and eastern United States as part of the ACT-America project. Two aircraft platforms, NASA's Langley Research Center Beechcraft B200 King Air and NASA's Goddard Space Flight Center C-130H Hercules, were used to collect high-quality in situ measurements across a variety of continental surfaces and atmospheric conditions. The merged data products are composed of continuous in situ measurements of atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), ozone (O3), and ethane (C2H6, B200 aircraft only) that were averaged to uniform intervals and merged with trace gas concentrations from discrete flask samples collected with the Programmable Flask Package (PFP) and the aircraft navigation and meteorological variables. These merged data products provide integrated measurements at intervals useful to the modeling community for studying the transport and fluxes of atmospheric CO2 and CH4 across North America.
ORNL DAAC published the North American Carbon Program (NACP) dataset Mean Annual Fluxes of Carbon in Coastal Ecosystems of Eastern North America. This dataset contains best estimates and uncertainties for mean annual fluxes of inorganic, organic, and total (organic and inorganic) carbon in tidal wetlands, estuaries and shelf waters of eastern North America, which is defined by the coastline running between the tip of the Scotian Peninsula (Canada) and the southern tip of Florida (USA). The data are provided on a per-unit-area basis and as spatially integrated values for each of the three ecosystem types (tidal wetlands, estuaries, and shelf waters) and the entire coastal ecosystem (tidal wetlands + estuaries + shelf waters) as well as for three geographic subregions (the Gulf of Maine, the Mid-Atlantic Bight, and the South Atlantic Bight) and the entire Eastern North America domain (Gulf of Maine and Mid-Atlantic Bight and South Atlantic Bight). The data include the net uptake from the atmosphere by the three ecosystems; burial in tidal wetland soils, estuarine sediments, and continental shelf sediments; riverine input from land to estuaries; and the net lateral advective transports from ecosystem to ecosystem. In addition, heterotrophic respiration (HR), net primary production (NPP), and net ecosystem production (NEP) estimates were computed for each ecosystem. The fluxes were derived using a variety of sources and are estimates for average conditions over the past decades from data covering roughly the period 1976-01-01 to 2017-12-31.
ORNL DAAC published the Arctic-Boreal Vulnerability Experiment (ABoVE) dataset ABoVE: Landsat-derived Burn Scar dNBR across Alaska and Canada, 1985-2015. This dataset contains differenced Normalized Burned Ratio (dNBR) at 30-m resolution calculated for burn scars from fires that occurred within the ABoVE Project domain in Alaska and Canada during 1985-2015. The fire perimeters were obtained from the Alaskan Interagency Coordination Center (AICC) and the Natural Resources Canada (NRC) fire occurrence datasets. Only burns with an area larger than 200-ha were included. The dNBR for each burn scar at 30-m pixel resolution was derived from pre- and post-burn Landsat 5, 7, and 8 scenes within a 5-km buffered area surrounding each burn scar using Landsat LEDAPS surface reflection image pairs.
ORNL DAAC published the ABoVE dataset A Concise Experiment Plan for ABoVE. This document presents the Concise Experiment Plan for NASA's ABoVE to serve as a guide to the Program as it identifies the research to be conducted under this study. Research for ABoVE will link field-based, process-level studies with geospatial data products derived from airborne and satellite remote sensing, providing a foundation for improving the analysis and modeling capabilities needed to understand and predict ecosystem responses and societal implications. The ABoVE Concise Experiment Plan (ACEP) outlines the conceptual basis for the Field Campaign and expresses the compelling rationale explaining the scientific and societal importance of the study. It presents both the science questions driving ABoVE research as well as the top-level requirements for a study design to address them.
ORNL DAAC published the Carbon Monitoring System (CMS) dataset lidar-Derived Aboveground Biomass and Uncertainty for California Forests, 2005-2014. This dataset provides estimates of aboveground biomass and spatially explicit uncertainty from 53 airborne lidar surveys of locations throughout California between 2005 and 2014. Aboveground biomass was estimated by performing individual tree crown detection and applying a customized "remote sensing aware" allometric equation to these individual trees. Aboveground biomass estimates and their uncertainties for each study area are provided in per-tree and gridded format. The canopy height models used for the tree detection and biomass estimation are also provided.
ORNL DAAC published the CMS dataset lidar-Derived Aboveground Biomass and Uncertainty for California Forests, 2005-2014. This dataset provides estimates of aboveground biomass and spatially explicit uncertainty from 53 airborne lidar surveys of locations throughout California between 2005 and 2014. Aboveground biomass was estimated by performing individual tree crown detection and applying a customized "remote sensing aware" allometric equation to these individual trees. Aboveground biomass estimates and their uncertainties for each study area are provided in per-tree and gridded format. The canopy height models used for the tree detection and biomass estimation are also provided.
ORNL DAAC published the dataset Africa synthetic aperture radar (AfriSAR): Canopy Structure Derived from Polarimetric Interferometric SAR (PolInSAR) and Polarimetric Coherence Tomographic SAR (PC-TomoSAR) NASA-ISRO SAR (NISAR) tools. This dataset contains forest vertical structure and associated uncertainty products derived by applying multi-baseline PolInSAR and PC-TomoSAR techniques. The data were collected from multiple repeat-pass flights over Gabonese forests using the Uninhabited Aerial Vehicle SAR (UAVSAR) instrument in February-March 2016. In addition, supplementary data products based on various intermediate parameters of the UAVSAR data are provided and include radar backscatter, coherence, and viewing and terrain geometry.
ORNL DAAC revised the Vegetation Collection dataset lidar-derived Vegetation Canopy Structure, Great Smoky Mountains National Park, 2011. This dataset provides multiple-return lidar-derived vegetation canopy structure at 30-meter spatial resolution for the Great Smoky Mountains National Park. Canopy characteristics were analyzed using high resolution three-dimensional point cloud measurements gathered between February-April 2011 for Tennessee and during March-April 2005 for North Carolina sections of the park. Vegetation types were mapped by grouping areas of similar canopy structure. The map was compared and validated against existing vegetation maps for the park.
NASA's Physical Oceanography DAAC (PO.DAAC) released the Aquarius Celestial Sky Microwave Emission Map Ancillary Dataset V1.0. This dataset contains three maps of L-band (wavelength = 21 cm) brightness temperature of the celestial sky ("Galaxy") used in the processing of the NASA Aquarius instrument data. The maps report Sky brightness temperatures in Kelvin gridded on the Earth Centered Inertial (ECI) reference frame epoch J2000. They are sampled over 721 declinations between -90 degrees and +90 degrees and 1441 Right Ascensions between 0 degrees and 360 degrees, all evenly spaced at 0.25 degrees intervals.
PO.DAAC ingested the latest MEaSUREs updates for the Integrated Multi-Mission Ocean Altimeter Data for Climate Research Version 4.2 dataset (Cycles 927 - 941) from B. Beckley. This update covers the period from November 13, 2017 to April 10, 2018.
Page Last Updated: Jun 2, 2021 at 1:24 PM EDT