Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used
in conjunction with digital elevation model (DEM) derived datasets (e.g.
elevation, landform, aspect, etc.) to model natural and semi-natural
vegetation. The minimum mapping unit for this dataset is approximately
1 acre. Landcover classes are drawn from NatureServe's Ecological
System concept, with 109 of the 125 total classes mapped at the system
level. For the majority of classes, a decision tree classifier was used
to discriminate landcover types, while a minority of classes (e.g. urban
classes, sand dunes, burn scars, etc.) were mapped using other
techniques. Twenty mapping areas, each characterized by similar
ecological and spectral characteristics, were modeled independently of
one another. These mapping areas, which included a 4 km overlap, were
subsequently mosaicked to create the regional dataset. An internal
validation for modeled classes was performed on a withheld 20% of the
sample data. Results of the validation will be presented in the project
final report and are not available at this time. The entire modeling
area encompasses 5 southwestern states (Arizona, Colorado, Nevada, New
Mexico, and Utah).
Complete descriptions of each landcover class are available in the
document titled: "Landcover Descriptions for the Southwest
Regional Gap Project" at
http://earth.gis.usu.edu/swgap/swgap_legend_desc.pdf
Note: this file was clipped from the original dataset by Conservation
Biology Institute, and only contains data for the area within the
Sonoran Desert eco-region, a CEC Level III eco-region.