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Annual (1986-2020) land-use/land cover maps at 30-meter resolution of the Tucson metropolitan area, Arizona and the greater Santa Cruz Watershed including Nogales, Sonora, Mexico. Maps were created using a combination of Landsat imagery, derived transformation and indices, texture analysis and other ancillary data fed to a Random Forest classifier in Google Earth Engine. The maps contain 13 classes based on the National Land Cover Classification scheme and modified to reflect local land cover types. Data are presented as a stacked, multi-band raster with one "band" for each year (Band 1 = 1986, Band 2 = 1987 and so on). Note that the year 2012 was left out of our time series because of lack of quality Landsat data....
This dataset includes raster species distribution models of five pine species in the Madrean sky islands of México and the United States. Models were trained using a large bi-national field dataset (n = 1,416) of pine species observations. Species distribution models were created for the following pine species: P. arizonica (syn. P. ponderosa var. arizonica); P. discolor (syn. P. cembroides var. bicolor); P. chihuahuana (syn. P. leiophylla var. chihuahuana). We generated 2 distribution models for each species, one model is based on topographic and bioclimatic variables (1km resolution), and the second based on topographic and Landsat remote sensing variables (30m resolution). Naming convention follows a 6 letter...
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