EOSDIS Data News - 12/08/2017
NASA's Global Hydrology Resource Center (GHRC) Distributed Active Archive Center (DAAC) published the GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS dataset. This dataset is a subset from the global 30-minute PERSIANN-CCS files generated in near-real time selected for the time period of the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign. The main goal 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. This PERSIANN-CCS data product is available in ASCII and netCDF-4 formats from April 1, 2013 thru July 1, 2013.
NASA's Land Processes DAAC (LP DAAC) recently released the Visible Infrared Imaging Radiometer Suite (VIIRS) Thermal Anomalies Swath (VNP14) and the Moderate Resolution Terrain Correction Geolocation (VNP03MODLL) Version 1 products. The VNP14 swath product is produced in 6 minute temporal satellite increments (swaths) at 750 meter resolution. This data product enables users to understand the location and intensity of fire events as well as identifying thermal anomalies. The VNP03MODLL swath data product is based on 6-minute increments, similar to the VNP14. VNP03MODLL provides the relevant latitude and longitude layers necessary for applying accurate geolocation to VNP14 swath data.
LP DAAC recently released Headwall Hyperspectral Reflectance data for the Long-Term Ecological Research at Cedar Creek Ecosystem Science Reserve, Minnesota. The fine-scale images were acquired of a prairie grassland ecosystem during June/July 2014 and July 2015. The reflectance data are at 1 millimeter spatial resolution in the 400 to 1,000 nanometer spectral range. This dataset can be used to understand the optical diversity-biodiversity relationship and investigate the spatial sensitivity of the optical diversity-biodiversity relationship at local scales. This dataset provides a new opportunity for LP DAAC to reach the hyperspectral user community.
NASA's Oak Ridge National Laboratory (ORNL) DAAC published the Arctic-Boreal Vulnerability Experiment (ABoVE) dataset ABoVE: Study Domain and Standard Reference Grids, Version 2. The Arctic - Boreal Vulnerability Experiment (ABoVE) has developed two standardized spatial data products to expedite coordination of research activities and to facilitate data interoperability. Core and Extended study regions have been designated within this Domain and are provided in both a vector representation (Shapefile) and a raster representation (GeoTIFF at 1,000-meter spatial resolution). Note that the designated standard projection for the all ABoVE products is the Canadian Albers Equal Area projection.
- Dataset DOI: https://doi.org/10.3334/ORNLDAAC/1527
Last Updated: Aug 24, 2018 at 2:42 PM EDT