1. EOSDIS Data News - 9/01/2017

EOSDIS Data News - 9/01/2017

NSIDC DAAC

The National Snow and Ice Data Center (NSIDC) DAAC published an update to the dataset MEaSUREs Annual Greenland Outlet Glacier Terminus Positions from SAR Mosaics. The dataset is now available at version 1.1. The minor changes in this version include:

  • Added data for winters of 2014/2015, 2015/16, 2016/17
  • Added new parameter attributes for the new data
  • Added 29 new glaciers
  • Provided a new GlacierID file with added glaciers and updated attributes

This data set is part of the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program.

The NSIDC DAAC published an update to the dataset IceBridge POS/AV L1B Corrected Position and Attitude Data for the Arctic campaign during 10 July 2017 to 25 July 2017. This dataset contains georeferencing data from the Applanix 510 POS AV system flown with the Digital Mapping System (DMS) and other instruments over Greenland and Antarctica.
ORNL DAAC published the Carbon Monitoring System (CMS) dataset CMS: LiDAR Data for Mangrove Forests in the Zambezi River Delta, Mozambique, 2014. This dataset provides high-resolution Light Detection and Ranging (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.
ORNL DAAC published the Carbon Monitoring System (CMS) 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. The high-resolution canopy height model for the delta region derived from the airborne LiDAR data is also included.

ORNL DAAC published the Carbon Monitoring System (CMS) dataset CMS: LiDAR-derived Biomass, Canopy Height and Cover, Sonoma County, California, 2013. This dataset provides estimates of above-ground biomass (AGB), canopy height, and percent tree cover at 30-m spatial resolution for Sonoma County, California, USA, for the nominal year 2013. Biomass estimates, megagrams of biomass per hectare (Mg/ha) were generated using a combination of LiDAR data, field plot measurements, and random forest modeling approaches. Estimates of AGB uncertainty are also provided. Maximum canopy height and tree cover were derived from LiDAR data and high-resolution National Agriculture Imagery Program (NAIP) images.

Last Updated: Sep 1, 2017 at 12:04 PM EDT