Skip to main content
ORNL DAAC HomeNASA Home

DAAC Home > Resources >

You are here

News

News

Vegetation Collections

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.

Harmonized Global Maps of Biomass

Map of biomass carbon density.

Global maps of above and belowground biomass carbon density: (a) aboveground biomass carbon density, (b) belowground biomass carbon density.

Temporally consistent and harmonized global maps of aboveground and belowground biomass carbon density are now available.

Canopy Structure in the Great Smoky Mountains

Map showing thirty unique vegetation canopy structure classes in Great Smoky Mountain National Park

This overview map shows thirty unique vegetation canopy structure classes identified within the Great Smoky Mountain National Park in Tennessee and North Carolina, USA.

This revised dataset characterizes canopy structure based on LiDAR surveys of the Great Smoky Mountains National Park.

Imagery from AVIRIS-NG for sites in ID and CA

A portion of the quicklook image from flight line ang20150611t202652 over Reynolds Creek Experimental Watershed, Idaho on June 6, 2015.

A portion of the quicklook image from flight line ang20150611t202652 over Reynolds Creek Experimental Watershed, Idaho on June 6, 2015. Center-pivot irrigation of agricultural land (1/2 mile in diameter) is visible in this image. Flight altitude was approximately 3000 m with clear weather.

A new dataset provides surface reflectance measured in 2014 & 2015 at long-term research sites in Idaho and California, USA.

Phenology Derived from Landsat

Map of the 75 selected Landsat sidelap regions

Spring and Autumn phenology was calculated for 75 Landsat sidelap regions. From Melaas et al., 2018.

A 30 year timeseries of spring and autumn phenology across North American forests was derived from Landsat imagery.

Pages