We used National Agriculture Imagery Program (NAIP) aerial imagery
acquired on 21 May 2011 to generate the shrub cover map. NAIP images
have a 1m spatial resolution and four spectral bands (red, green,
blue, and near-infrared). An unsupervised approach (Iterative
Self-Organizing Data Analysis Technique) was used for image
classification. Texture features were used in addition to the NAIP
spectral bands. Thirty classes were initially produced by the
unsupervised classification; these were then manually assigned as
shrub or non-shrub. Necessary corrections of the classification
(through combining and/or splitting of the original thirty classes)
were done manually while referencing co-located Google Earth imagery.
This data is described and published in:
Ji, Wenjie, Niall P. Hanan, Dawn M. Browning, H. Curtis Monger, Debra
P. C. Peters, Brandon T. Bestelmeyer, Steve R. Archer, et
al. “Constraints on Shrub Cover and Shrub–Shrub Competition in a U.S.
Southwest Desert.” Ecosphere 10, no. 2 (2019): e02590.
https://doi.org/10.1002/ecs2.2590.