Maryam Ao developed a feature for the JCSDA-internal/ioda-converters repository that integrates site classification data into the Pandora Converter, enriching observational data with urban context. She implemented a process in Python using Pandas to read a site classification CSV and assign both urban classification and percentage urban values to each Pandora observation based on geographic proximity. This approach enables downstream analytics to incorporate contextual information for each observation. The work focused on data conversion and processing, delivering an end-to-end integration in a single commit. Over the month, Maryam’s contribution demonstrated depth in data enrichment and geospatial data handling.