Skip to main content

Description

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.

Product Summary

Platforms
MODELS
Instruments
Computer
Spatial Extent
N: 22.0081 S: -34.8145 E: 61.5253 W: -20.6077
Geographic Region
EASTERN AFRICA,
SOUTHERN AFRICA,
WESTERN AFRICA
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2000-01-01 to 2005-01-01
Data Partner
THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)
Concept ID
c2762262652-ornl_cloud
Data State
COMPLETE
Processing Level
4
Published
Updated

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Hanan, N. P., Prihodko, L., Ross, C. W., Bucini, G., & Tredennick, A. T. (2020). Gridded Estimates of Woody Cover and Biomass across Sub-Saharan Africa, 2000-2004 (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1777 Date Accessed: 2025-07-20

Documents

GENERAL DOCUMENTATION Gridded Estimates of Woody Cover and Biomass across Sub-Saharan Africa, 2000-2004: Gridded_Biomass_Africa.pdf
USER'S GUIDE ORNL DAAC Data Set Documentation

Learning Resources

View All Learning Resources
Filters
No Results