Ujaval Gandhi

This talk will take you through my journey of building Spatial Thoughts and share insights into what it takes to build a education business powered by open content and open-source ethos.

This workshop will give you hands-on experience using new [Google Earth Engine Plugin for QGIS](https://github.com/gee-community/qgis-earthengine-plugin) to combine their desktop-based geospatial workflows with cloud-based datasets.

XArray is a powerful Python package for working with climate and earth observation datasets. This workshop will be a structured introduction to XArray, STAC and Dask with use-cases focused on cloud-based remote sensing applications.

This talk will do a deep-dive into QGIS Model Designer for building fast, automated and reproducible workflows. We will cover real-world use cases and share tips to help you leverage the no-code framework provided by QGIS.

Introducing our new Satellite Embedding dataset. Learn how to get the most out of this AI-powered Image Collection, featuring hands-on examples and real-world case studies.

Learn how to build landcover monitoring applications using Dynamic World, a global 10m land use / land cover dataset produced in near realtime from the Sentinel-2 collection.The session will give an introduction to the dataset and show how it can be applied for three different landcover change detection scenarios. You will learn how to monitor changes in surface water over time, detect urban growth and map vegetation trends by leveraging the rich probability time-series provided by the dataset.

This hands-on workshop is designed to help participants learn the basics of the Google Earth Engine platform. This beginner-friendly class will cover a range of topics to help participants get comfortable with the Code Editor environment and the Google Earth Engine API to implement remote sensing workflows.

This hands-on workshop is designed to help participants learn the basics of the Google Earth Engine platform. This beginner-friendly class will cover a range of topics to help participants get comfortable with the Code Editor environment and the Google Earth Engine API to implement remote sensing workflows.

This hands-on workshop is designed to help participants learn the basics of the Google Earth Engine platform. This beginner-friendly class will cover a range of topics to help participants get comfortable with the Code Editor environment and the Google Earth Engine API to implement remote sensing workflows.

This hands-on workshop is designed to help participants learn the basics of the Google Earth Engine platform. This beginner-friendly class will cover a range of topics to help participants get comfortable with the Code Editor environment and the Google Earth Engine API to implement remote sensing workflows.

This hands-on workshop is designed to help participants learn the basics of the Google Earth Engine platform. This beginner-friendly class will cover a range of topics to help participants get comfortable with the Code Editor environment and the Google Earth Engine API to implement remote sensing workflows.

This hands-on workshop is designed to help participants learn the basics of the Google Earth Engine platform. This beginner-friendly class will cover a range of topics to help participants get comfortable with the Code Editor environment and the Google Earth Engine API to implement remote sensing workflows.

This hands-on workshop is designed to help participants learn the basics of the Google Earth Engine platform. This beginner-friendly class will cover a range of topics to help participants get comfortable with the Code Editor environment and the Google Earth Engine API to implement remote sensing workflows.

This hands-on workshop is designed to help participants learn the basics of the Google Earth Engine platform. This beginner-friendly class will cover a range of topics to help participants get comfortable with the Code Editor environment and the Google Earth Engine API to implement remote sensing workflows.

This hands-on workshop is designed to help participants learn the basics of the Google Earth Engine platform. This beginner-friendly class will cover a range of topics to help participants get comfortable with the Code Editor environment and the Google Earth Engine API to implement remote sensing workflows.

This hands-on workshop is designed to help participants learn the basics of the Google Earth Engine platform. This beginner-friendly class will cover a range of topics to help participants get comfortable with the Code Editor environment and the Google Earth Engine API to implement remote sensing workflows.

This hands-on workshop is designed to help participants learn the basics of the Google Earth Engine platform. This beginner-friendly class will cover a range of topics to help participants get comfortable with the Code Editor environment and the Google Earth Engine API to implement remote sensing workflows.

This hands-on workshop is designed to help participants learn the basics of the Google Earth Engine platform. This beginner-friendly class will cover a range of topics to help participants get comfortable with the Code Editor environment and the Google Earth Engine API to implement remote sensing workflows.

This hands-on workshop is designed to help participants learn the basics of the Google Earth Engine platform. This beginner-friendly class will cover a range of topics to help participants get comfortable with the Code Editor environment and the Google Earth Engine API to implement remote sensing workflows.

This hands-on workshop is designed to help participants learn the basics of the Google Earth Engine platform. This beginner-friendly class will cover a range of topics to help participants get comfortable with the Code Editor environment and the Google Earth Engine API to implement remote sensing workflows.

During this session, you'll hear 10 lightning talks featuring topics around humanitarian relief, equity, inclusion and social impact related to climate and environment. Nikki Tulley, NASA Indigenous Peoples Initiative, BAERI/NASA Ames Research Center, “Nihimá Nahasdzáán – An Indigenous Community Earth Observation Event” Becky Segal, Arctic Eider Society, “Mobilizing Earth Engine through SIKU: The Indigenous Knowledge Social Network, an operational platform serving maps in support of Indigenous-led environmental stewardship” Rónadh Cox, Williams College, “Mapping interdisciplinarity for environ

The AI model predicts that the probability you will learn something new about Dynamic World, a near realtime global land use land cover dataset, and hear interesting use cases is 99%. Join us to validate the model output by being present on the ground!

This session will cover techniques for processing remote sensing time-series data for analysis along with their implementation in Google Earth Engine. You will learn how to properly prepare your remote sensing time-series for regression and trend analysis.