11-20, 14:00–14:25 (Pacific/Auckland), WA220
When critical Sentinel-2 index data went missing before a deadline, we rapidly rebuilt coverage using Sentinel-2 UTM Tiling Grid (ESA), filtered cloud and shadow pixels, and inserted clean values into the database. This talk shares practical steps, code, and lessons learned from urgent environmental monitoring under time constraints.
This presentation explores the urgent recovery of missing Sentinel-2 index data using the ESA UTM tiling grid. It details the preprocessing pipeline, including cloud and shadow masking, null-value extraction, and optimized insertion into geospatial databases. Emphasis is placed on a real-world agriculture use case—monitoring crop health during a narrow seasonal window—where fast, accurate index data is critical for timely decision-making. Attendees will gain insights into handling remote sensing data under pressure, including code examples and workflow strategies tailored for rendering the recovered index data as CovJSON, enabling efficient visualization and analysis within agricultural decision-support systems.
GIS Frontend Developer at Vallaris Maps.
Geoinformatics Engineer with hands-on experience in remote sensing, geospatial data processing, and environmental monitoring. With a strong background in satellite imagery (Sentinel, Landsat), spatial analysis, and Python-based automation, focuses on developing efficient workflows for land monitoring, agriculture, disaster response and 3D processing.