11-17, 13:30–16:30 (Pacific/Auckland), WF711
Discover how to access and analyze Sentinel satellite imagery in seconds using STAC APIs and Microsoft Planetary Computer. In this hands-on workshop, you'll use Python to fetch data, calculate vegetation indices, and build efficient Earth observation workflows.
This hands-on workshop introduces a modern and efficient way to access and analyze Sentinel satellite data using STAC (SpatioTemporal Asset Catalog) APIs and the Microsoft Planetary Computer. You'll learn how to build scalable Earth observation workflows in Python—without downloading massive datasets manually.
We’ll begin with an overview of STAC and the role of the Microsoft Planetary Computer as a cloud-native source for open geospatial data. Participants will learn how to search and access Sentinel-2 and Sentinel-1 imagery based on time, location, and cloud coverage—directly within Python using libraries like pystac-client, odc-stac, and xarray.
During the workshop, you'll:
- Search and preview Sentinel datasets using STAC
- Fetch cloud-hosted imagery from Microsoft Planetary Computer
- Visualize bands and calculate vegetation indices like NDVI, EVI, and RVI
- Perform pixel-level analysis with minimal compute time
- Build efficient, reproducible workflows using Jupyter notebooks
By the end, you’ll have a working pipeline to go from area of interest to actionable insights in minutes—ideal for environmental monitoring, agriculture, and forest analysis. This workshop is perfect for developers, remote sensing analysts, or GIS professionals looking to simplify and accelerate their satellite data workflows.
Krishna Lodha is the founder and director of Rotten Grapes Private Limited, a software development company specializing in open-source GIS solutions. With a strong background in geospatial technologies and a passion for FOSS, Krishna has led the development of several impactful Web GIS applications for clients across forestry, agriculture, water management, and urban planning sectors. Under his leadership, the company has successfully deployed solutions that leverage platforms like GeoServer, OpenLayers, and QGIS, helping government and private organizations optimize their spatial data workflows.
Krishna is also a content creator who shares knowledge through YouTube tutorials and technical blogs focused on open-source GIS development. His work emphasizes practical, scalable solutions using open standards and tools, aiming to make geospatial technology more accessible to developers and analysts alike.
An advocate for community-driven innovation, Krishna regularly mentors students and professionals interested in building careers in geospatial software. He actively participates in open-source projects and contributes to the broader FOSS4G ecosystem.