Planet has built an incredibly capable cloud-native processing infrastructure to take our raw imagery and turn it into refined imagery, analysis ready data (ARD), and analytic feeds so that it can be easily incorporated into our customers and users workflows. Many of the key pieces we built ourselves, but our system would not be possible without a number of open source libraries. The most important of these is a geospatial library called GDAL. GDAL is critically important to many of the steps in Planet’s image processing pipeline and is used by many of our customers and partners–either directly or embedded in higher level geospatial tools–to transform their data and extract value. We've been incredibly lucky to have Frank Warmerdam, the founder of GDAL, join the Planet team in its early days to build the library into our core infrastructure. And we have contracted with Even Roualt, the current maintainer, for many key advances in GDAL and related libraries. These include funding the drivers for OGC API - Features, (OAPIF), Planet API’s (PLScenes & PLMosaic), and Google Earth Engine (EEDAI & EEDA). Planet also funded the initial work on Cloud-Optimized GeoTIFF and many performance and robustness improvements throughout the GDAL ecosystem, especially in gdalwarp and openjpeg.