Data from: Modeling avian biodiversity using raw, unclassified satellite imagery

Véronique St-Louis, Anna M. Pidgeon, Tobias Kuemmerle, Ruth Sonnenschein, Volker C. Radeloff, Murray K. Clayton, Brian A. Locke, Dallas Bash & Patrick Hostert
Applications of remote sensing for biodiversity conservation typically rely on image classifications that do not capture variability within coarse land cover classes. Here, we compare two measures derived from unclassified remotely sensed data, a measure of habitat heterogeneity and a measure of habitat composition, for explaining bird species richness and the spatial distribution of 10 species in a semi-arid landscape of New Mexico. We surveyed bird abundance from 1996 to 1998 at 42 plots located...
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These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?