The Nature of AI: Solving the Planet's Data Gap with Drew Purves

<p>Further reading:</p><ul><li>Natural forests of the world: <a href="https://sciety.org/articles/activity/10.31223/x5zx6p">paper</a>, <a href="https://github.com/google-deepmind/forest_typology">data and benchmarks</a></li><li>Forest loss drivers: <a href="https://iopscience.iop.org/article/10.1088/1748-9326/add606">paper,</a> <a href="https://www.wri.org/insights/forest-loss-drivers-data-trends">summary from WRI</a>, and blog from <a href="https://www.globalforestwatch.org/blog/data-and-tools/new-drivers-data-forest-loss/">GFW</a></li><li>Forest loss drivers code: <a href="https://developers.google.com/earth-engine/datasets/catalog/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_2_2001_2024">Google Earth Engine</a>; at <a href="https://datasets.wri.org/datasets/dominant-drivers-of-tree-cover-loss-at-1km?map=eyJ2aWV3U3RhdGUiOnsibGF0aXR1ZGUiOjAsImxvbmdpdHVkZSI6MCwiem9vbSI6MywiYmVhcmluZyI6MCwicGl0Y2giOjAsInBhZGRpbmciOnsidG9wIjowLCJib3R0b20iOjAsImxlZnQiOjAsInJpZ2h0IjowfX...