NASA ARSET_ Foundations of Species Distribution Modeling with GEE Part 2

The Story

Welcome to Part 2 of our specialized series on ecological data and remote sensing: "NASA ARSET: Foundations of Species Distribution Modeling with GEE."
In this episode of the NASA Live Video Podcast, we dive deeper into the technical and practical workflows of Species Distribution Modeling (SDM) using the immense computational power of Google Earth Engine (GEE). Building upon our foundational knowledge from Part 1, we explore how scientists utilize NASA’s satellite observations and geospatial datasets to map, predict, and analyze wildlife habitats and biodiversity patterns across the globe.
Join us as we break down the core components of the SDM workflow within GEE. We discuss how to integrate environmental predictors—such as climate data, terrain metrics, and vegetation indices—with species presence data to build robust predictive models. We also address the critical steps of model evaluation, tuning, and understanding the environmental variables that most heavily influence habitat suitability.
Whether you are an ecologist, a GIS professional, a data scientist, or simply fascinated by how satellite technology protects Earth's biodiversity, this episode offers essential insights into modern conservation science. Subscribe to the NASA Live Video Podcast to stay updated on the frontier of earth science and space-driven discoveries!