From Cloud to Desktop: Working with Earth Engine Data in QGIS (January 2027)

About this course
When
Jan 27–28, 2027
Duration
6 hours 2 sessions of 3 hours
Format
Online Live, instructor-led
Fee
US$75₹5,000 + GST in India
Google Earth Engine (GEE) is a cloud-based platform that enables working with large-scale earth observation datasets effectively. The Google Earth Engine Plugin for QGIS brings this power to the desktop and enables QGIS users to combine their geospatial workflows with cloud-based datasets. This workshop is ideal for QGIS users who want to leverage cloud-based datasets in their geospatial workflows.

Schedule

All times are India Standard Time (IST, GMT+5:30). Use the local time link on each session to see it in your time zone.

  1. Session 1 Wed, Jan 27 6 pm–9 pm IST Check local timeLocal time
  2. Session 2 Thu, Jan 28 6 pm–9 pm IST Check local timeLocal time

Course outline

  1. Session 1

    Introduction and Downloading Data

    • Introduction and Workshop Overview
    • Overview of the Earth Engine Data Model
    • Accessing Earth Engine Datasets
    • Hands-on: Downloading Images from Earth Engine
  2. Session 2

    Building Workflows

    • Hands-on: Building Workflows with Model Designer

Prerequisites

Familiarity with QGIS

Fees

Outside India
US$75
Residents of India
₹5,000 + 18% GST

Students and young professionals can apply for a 50% discount, and each class has a few seats offered as scholarships at no cost. See Discounts and Scholarships.

Register

Registration for this class is not open yet. Get notified when it opens .

What our participants say

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The ‘Cloud to Desktop: Working with Earth Engine Data in QGIS’ was exceptionally interesting. I hadn’t worked with models before, and the class flowed very well. I was able to build my own model, and when a different kind of challenge emerged, we could tackle it through critical thinking. I appreciated the ability to dive deep to solve a problem. In short, I find the level of instruction excellent and the teaching method superb as well.
Fernando Bermúdez Kuminev
CEO, Resiliencia Agricultura y Seguridad (RAS SRL)
Costa Rica From Cloud to Desktop: Working with Earth Engine Data in QGIS