We implemented a workflow for species distribution modelling in GEE that includes importing species occurrence data into the GEE platform, selecting and preparing predictor variables, and performing model fitting with spatial or temporal split-block cross-validation techniques. Here, we present a workflow in GEE to fit species distribution models, offering direct access to a multi-petabyte catalog of raster products to obtain estimates of habitat suitability. The high computing capacity of GEE can make computationally demanding analyses more accessible to researchers and practitioners, especially those with limited access to advanced computational resources. MODIS, Landsat, Sentinel) and other geospatial datasets. Google Earth Engine (GEE) is a free Web-based spatial analysis platform that requires only a web browser and an Internet connection to programmatically access and analyse data from its multi-petabyte catalog of regularly updated satellite imagery (e.g.
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