Crowley_Cardille_2020

Crowley MA, Cardille JA (2020) Remote Sensing’s Recent and Future Contributions to Landscape Ecology. Curr Landscape Ecol Rep 5:45–57. https://doi.org/10.1007/s40823-020-00054-9

---

Keywords: Remote sensing, machine learning, open access, remote sensing

Landscape ecologists focus on relationships of pattern and process and many rely on remote sensing. Recent advances in remote sensing - explosion of data diversity and availability, emergence of massive-throughput analysis platforms Google Earth Engine, development of algorithms for large-scale image classifications (many based on machine learning). Advances in landscape ecology using remote sensing - quantifying landscape structure at various spatial and temporal extents. Table showing best soures for different scales. Future prospects - there are increasing opportunities for image classification and fine-scale analysis with the release of new data and satellites. Using multiple sources and data types can create novel insights.