This dataset provides maps of woody (tree and shrub) cover and biomass across Sub-Saharan Africa at a resolution of 1 km for the period 2000-2004. Canopy cover observations and remote-sensing data related to woody vegetation were used to predict woody cover across Africa. Predicted woody cover, canopy height, and tree allometry were used to estimate woody biomass for Sub-Saharan Africa. Canopy cover observations were assembled from field measurements and Google Earth imagery collected from 2000-2004. Remote-sensing data related to the structural attributes of woody vegetation were derived from MODIS optical data and Q-SCAT (Quick Scatterometer) microwave measurements. Canopy height estimates were derived from spaceborne lidar and tree allometry equations were retrieved from GlobAllomeTree.
Science Keywords: | |||
Spatial Extent: | Bounding Rectangle: N: 22.01 S: -34.81 E: 61.53 W: -20.61 |
Data Format(s): | Distribution: GeoTIFF |
Temporal Extent: | Platform(s): | Environmental Modeling | |
Data Center(s): | ORNL_DAAC | Instrument(s): | Computer |
Version: | 1 |
10.3334/ORNLDAAC/1777
https://doi.org
Creation | |
Last Revision |
4
model products
Complete
Project Short Name | Campaigns | Project Dates |
---|---|---|
Vegetation | No campaigns listed. | No dates provided. |
Coverage Type | Zone Identifier | Geometry | Granule Representation |
---|---|---|---|
HORIZONTAL | CARTESIAN | CARTESIAN |
ORNL DAAC User Services Office, P.O. Box 2008, MS 6407, Oak Ridge National Laboratory
Oak Ridge,
Tennessee
37831-6407
(865) 241-3952
There are no listed data contacts for this collection.
Format: GeoTIFF
Format Type: Native
Fees: 0