krishna lodha
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.
Sessions
pygeoapi is an OGC Reference Implementation supporting numerous OGC API specifications. This workshop will cover publishing geospatial data to the Web using pygeoapi in support of the suite of OGC API standards.
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 workshop will provide an introduction to performing common GIS/geospatial tasks using Python geospatial tools such as OWSLib, Shapely, Fiona/Rasterio, and common geospatial libraries like GDAL, PROJ, pycsw, as well as other tools from the geopython toolchain.
Join this hands-on workshop to learn how to build fully functional spatial APIs using PostgreSQL, PostGIS, and PostgREST. We'll cover setup, data exposure, and using spatial functions—empowering you to build powerful, backend-free geospatial services using just SQL.
Explore how to quickly access and analyze Sentinel satellite data using STAC APIs and the Microsoft Planetary Computer. In this talk, we’ll demonstrate how Python makes it easy to fetch imagery and calculate vegetation indices in just minutes.
Learn how to turn your PostgreSQL database into a powerful RESTful API using PostgREST. This talk focuses on exposing geospatial data and leveraging PostGIS functions to build scalable, efficient spatial APIs—all without writing a single line of backend code.