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Vegetation Collections

New data for MODIS and FLUXNET-derived Global Daily Terrestrial Gross Primary Production

Submitted by ORNL DAAC Staff on 2021-05-21
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Gross primary production from FluxSat v2.0 expressed as carbon (g m-2 d-1) for July 1st, 2019.

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Version 2 of the dataset on satellite- and FLUXNET tower-derived data on daily gross primary production of global vegetation has been released.

Sub-Saharan Africa High Res Woody Cover and Biomass Estimates

Submitted by ORNL DAAC Staff on
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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

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

Canopy Structure in the Great Smoky Mountains

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

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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

Submitted by ORNL DAAC Staff on
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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.

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

Tropical Forest Inventory in Brazil

Submitted by ORNL DAAC Staff on
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Location of the Tapajos National Forest, PA, Brazil, outlined in yellow. The gray lines are GLAS sampling flight tracks from 2003 to 2009 and the blue circles are the forest plots sampled. The pictures on the right illustrate three of the stands where plots were located (Goncalves et al., 2017).

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Forest inventory data from the Tapajos National Forest in Brazil were used to calibrate GLAS LiDAR estimates of forest biomass.