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.
Due to unforeseen circumstances, this batch stands cancelled. Inconvenience is regretted.
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.
Note: Due to unforeseen circumstances, the August 2024 batch of this course stands cancelled. Inconvenience is regretted. The registered participants will be notified of the next steps via email.
Course Faculty
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Krishnapriya Tamma
She works on forest ecosystems in the Himalayas and North-East India. She is also interested in climate justice and science communication.
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Neeti
Neeti teaches sustainability at Azim Premji University, with experience of more than 20 years in the field of data analytics and geospatial technology. Her research focuses on using various statistical techniques and geospatial tools to address questions in the field of forestry, agriculture, and disaster management.
She has been using R for more than a decade for both spatial and non-spatial data analysis. Before joining Azim Premji University, she worked at Indian Space Research Organisation (ISRO), Clark University, Goddard Space Flight Centre, Boston University, Woods Hole Research Centre (WHRC), and TERI School of Advanced Studies (TERI SAS)
Fee Structure
| INR 5900 | General |
|---|---|
| INR 1180 | Field 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.