A Vegetation Classification Logic Based on Remote Sensing for Use in Global Biogeochemical Models
Ambio: A Journal of the Human Environment
A simple new classification logic for global vegetation is proposed. The critical features of this classification are that: it is based on simple, observable, unambiguous characteristics of vegetation structure that are important to ecosystem biogeochemistry and can be measured in the field for validation; the structural characteristics can be determined by remote sensing, so that repeatable and efficient global re-classifications of existing vegetation will be possible; and the defined vegetation classes directly translate into the biophysical parameters of interest by global climate and biogeochemicai models. A first test of this logic for the continental United States is presented based on an existing 1 km Normalized Difference Vegetation Index database. Currently recognized global biome classes can easily be derived from this classification by adding climate descriptors and defining mixtures of these fundamental six vegetation classes.
© 1994 Royal Swedish Academy of Sciences
Running, S. W., Loveland T. R., and Pierce L. L. (1994). A Vegetation Classification Logic Based on Remote Sensing for Use in Global Biogeochemical Models. Ambio, 23: 77-81.
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