EOSDIS Data News: July 27, 2018
NASA's Global Hydrology Resource Center Distributed Active Archive Center (GHRC DAAC) published the Global Precipitation Mission Ground Validation (GPM-GV) Tropical Rainfall Measurement Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) Iowa Flood Studies (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 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 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.
Last Updated: Nov 1, 2019 at 10:18 AM EDT