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Introduction to Cloud Based Remote Sensing for Terrestrial Applications using GEE August 2024 Batch

A 5‑day certificate course for participants to learn the essentials of remote sensing and the utility of GEE for remote sensing analysis.

The use of state-of-the-art remote sensing has gained momentum in the past few decades with the increase in freely available datasets and advancement in technology. It is widely used in development, conservation, sustainability and public health domains, among others. 

This course aims to provide a basic understanding of remote sensing and digital image processing, along with hands-on training on using this technology to investigate various terrestrial applications using the cloud platform Google Earth Engine (GEE). GEE, a cloud-based platform serves as a repository of multiple satellite images and other geospatial datasets for visualisation and analysis on the cloud.

The 5‑day certificate course will help participants to learn the essentials of remote sensing and the utility of GEE for remote sensing analysis. With extensive hands-on training using GEE, participants will learn how to search for different spatial data, visualize, and analyse them. The participants will also learn different insights one can extract from the remotely sensed data for terrestrial applications. At the end, participants will have the opportunity to present and discuss the utility of remote sensing and GEE in their work.

On successful completion of the course, participants will be able to :

  • Search different spatial data, visualise and interpret the results in the GEE platform.
  • Implement remote sensing analyses in Earth Engine to answer environmental questions.
  • Use multi-temporal remote sensing data to find the changes over time in different datasets available

Practitioners, teachers, early career researchers and PhD scholars working in the field of environmental science and development sectors.

The course is intended to be delivered through extensive hands-on sessions with a pinch of theory. Theory will assist in enhancing the knowledge of the basics of remote sensing and its rationale, while the hands-on tutorial will provide exposure to how to use the technology. 

All interested participants need to fill out the application form. All participants are required to submit a short description of their specific motivation to join the certificate programme. 

The course will be offered from 05 – 09 August 2024. The five-day training is divided into lectures for conceptual understanding of remote sensing and hands-on sessions in GEE for processing of data. It will end with a final presentation from participants about the utility of remote sensing and GEE in their work and in the project they would be working on during the workshop.

Day 1

Introduction to Remote Sensing and GEE

Introduction to code editor and exploration of various datasets available

Day 2

Terrestrial Applications: LULCC, forest dynamics

Day 3

Terrestrial Applications: Built up and Urban heat island

Day 4

Applications: Human and environment interaction

Understanding the utility of GEE from practitioner's point of view: Getting exposure to work on a real-world problem with a practitioner.

Day 5

Presentation by participants on the utility of remote sensing for their work followed by group discussion. Closing session, followed by group reflection, written feedback, and presentation of certificates.

Important dates to remember

Last date to apply

Announcement of results

Last day for the fee payment

Note: The decision of the evaluation committee will be final.

The participants will be awarded a certificate of participation after successful completion of the 5‑day training.

Course Faculty

Fee Structure

INR 5900General
INR 1180Field Practice Organisation (FPO) associated with Azim Premji Foundation, including Azim Premji University

Partial fee waivers are available for deserving research scholars.

Accommodation and other logistics

The course fee does not include accommodation. The university can arrange accommodation for 5 days at an additional cost.

For non-shared rooms: INR 826 per day
For shared rooms: INR 413 per day

Requests for accommodation must be made at the time of application. Alternatively, participants can make their own arrangements. All other costs, such as travel to and from Bengaluru, local travel, stay, breakfast, lunch and dinner must be borne by participants.

All rates are inclusive of GST and relevant taxes.