We created a single map of surface water presence by intersecting water classes from available land cover products (National Wetland Inventory, Gap Analysis Program, National Land Cover Database, and Dynamic Surface Water Extent) across the U.S. state of Arizona. We derived classified samples for four wetland classes from the harmonized map: water, herbaceous wetlands, wooded wetlands, and non-wetland cover. In Google Earth Engine (GEE) we developed a random forest model that combined the training data with spatially explicit predictor variables of vegetation greenness indices, wetness indices, seasonal index variation, topographic variables, and hydrologic parameters. The final product is a wall-to-wall map of general wetland types covering all of Arizona. Results show that the final model separates the four wetland classes with an overall accuracy of 86.2%. This data release comprises the raster map file (TIF format) resulting from the training data and random forest model. The 30-m resolution map has 4 classes: not water or wetland (class 0), open water (class 1), herbaceous wetland (class 2), and wooded wetland (class 3).