Percent Treecover in Kenya

This dataset portrays percent treecover in Kenya.

Downloads and Resources

Description

The Vegetation Continuous Fields (VCF) collection contains proportional estimates for vegetative cover types: woody vegetation, herbaceous vegetation, and bare ground. The product is derived from all seven bands of the MODerate-resolution Imaging Spectroradiometer (MODIS) sensor onboard NASA's Terra satellite. The continuous classification scheme of the VCF product may depict areas of heterogeneous land cover better than traditional discrete classification schemes. While traditional classification schemes indicate where land cover types are concentrated, this VCF product is great for showing how much of a land cover such as ""forest"" or ""grassland"" exists anywhere on a land surface. This data was used in Map 7.2 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. This is a grid dataset. Percent treecover should be displayed using attribute field ""VALUE"" Classes 0-100 represent percent treecover. Classes 251 and 253 represent water. More information about the dataset, as well as downloads can be found at: http://glcf.umiacs.umd.edu/data/vcf/

Cautions

Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

Citation

Hansen, M., DeFries, R., Townshend, J.R., Carroll, M., Dimiceli, C., Sohlberg, R.. 2003. 500m MODIS Vegetation Continuous Fields Version 1.0. College Park, Maryland: The Global Land Cover Facility.

Access & Use Information

License: Creative Commons Attribution - NonCommercial 4.0 International (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/

Metadata

Project: Ecosystem Service Mapping

Page Last Updated: August 19, 2016

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