Elise Mazur

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.

Inspired by recent momentum towards 30x30 and the Global Biodiversity Framework, learn how Earth Engine is supporting the science of protecting, managing and conserving ecosystems and habitats for nature and people.

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!