Skip to main content
ORNL DAAC HomeNASA Home

DAAC Home > Resources >

You are here

News

News

hotnews

Sub-Saharan Africa High Res Woody Cover and Biomass Estimates

Map of sub-Saharan Africa estimates of woody biomass.

Estimates of woody biomass (tree and shrubs) at 1-km resolution in megagrams per hectare (Mg ha-1). Biomass was estimated from canopy cover, canopy height, and tree allometry. Source: C.W. Ross

Estimates of woody cover and biomass across sub-Saharan Africa were derived from observations, tree allometry equations, and remote-sensing products.

Reanalyzed Atmospheric Particulate Iodine Concentrations

Map of flight lines to measure particulate iodine.

Particulate iodine measured along flight paths in ATom1 and ATom2. Image by J.L. Jimenez

Reanalysis of initial High-Resolution Aerosol Mass Spectrometer measurements of global oceanic coverage of particulate iodine are now available.

High Res/Cloud-Free Snow Cover Extent and Depth

Map of Alaska showing snow depth.

Downscaled MERRA-2 snow depth (in meters) data. Images show snow depth for two time periods: spring snow melt for 23-30 April, 2007 (left) and during early snow accumulation for 30 September-7 October, 2007 (right).

One kilometer resolution, cloud-free snow cover extent and snow depth data are available for Alaska from 2001 to 2017.

ACT-America Housekeeping Data Updated

The ACT-America team on tarmac in Shreveport, Louisiana.

The ACT-America team on the tarmac with the B-200 King Air and C-130 Hercules NASA aircraft in Shreveport, Louisiana.

A new version of meteorological and aircraft navigational data is available from the Atmospheric Carbon and Transport-America project.

Improved LiDAR-derived Biomass for Sonoma County, CA

Aboveground biomass graphical map for Sonoma County.

Estimated aboveground biomass (Mg/ha) for Sonoma County at 30 m spatial resolution with the 5th-95th percentile range and the standard deviation (SD) of per-pixel biomass estimates shown in the top left and bottom left, respectively.

A new dataset used a parametric modeling approach to estimate biomass from airborne LiDAR data and field measurements.

Pages