This course is not open for enrollment

Supervised Remote Sensing (Cohort 1)

A training for Students, Researchers and Professionals from any discipline

Remote sensing is a powerful tool that can improve your work in various ways. 

This training will teach you how to use satellite data to identify patterns, trends, and environmental changes. 

You will also learn how to use this data to make informed decisions.  

This training is perfect for students and professionals of all levels. 

Whether you are an undergraduate student or a graduate student, or a working professional, you can benefit from the insights that supervised remote sensing training can provide.

Sign up for this training today and use satellite data to improve your work!


Supervised REMOTE SENSING Training


students, researchers, and professionals

A 40-hour course
Mohammad Sorowar Hossain, Ph.D. (Mentor)
SM Abdullah Al Mamun (GIS/Remote Sensing trainer)

Registration closed now. Sign up below to get notification of next session.

Course Schedule


Remote sensing has revolutionized how we study and understand the Earth's surface.

In this online course, we will explore the fundamentals of remote sensing and how it can be used to analyze land use and land cover (LULC) changes over time.  

We will start by examining the basic principles of remote sensing and how to interpret data from different remote sensing platforms, including satellites and aerial imagery.

Then, we will delve into the different types of LULC data obtained from remote sensing, such as vegetation cover, urban areas, water bodies, and more.

Course title
Supervised Remote Sensing training for Students, Researchers, and Professionals

Course Duration
45 days  

Total time
30 hours

Total Hands-on Projects

Reading Material
Basics of Remote sensing & GIS, BD Forest Department


Certificate of Completion

Certificate of completion given that one successfully submits all hands on projects


Students will receive up to 20% of waiver for any future RW training or consultancy service

Internship Opportunity

Based on the performance, two students will be given internship opportunities to conduct research with the BRF team

Video Lectures

Reading materials and video lectures

Course Curriculum

Who can take this Course

  • If you have no experience in remote sensing but want to learn the end-to-end remote sensing process– from idea generation to data visualization – then this course is a great one to start with
  • If you want a kick start to make a career in geography, public health, environmental science, forestry, social science, and journalism
  • Students, researchers, experts, literally anyone can take this course to stand out their profile from the crowd

Prerequisites and Requirements

Basic computer skills are required

Basic GIS skills

Windows 7/10/11, Google Earth Pro, ArcGIS

Laptop/PC, with at least 4GB RAM

What you will Learn

  • Understanding the real-life importance of remote sensing, its application, and career prospects
  • You will have greater clarity of basic spatial data concepts and data types 
  • Carry out practical spatial data analysis tasks in remote sensing software 
  • Learn about the kind of questions that are answered through spatial analysis and where to obtain free spatial data
  • Analyze spatial data using remote sensing software
  • Visualize spatial data 
  • Stand out with your skills & gain experience by working on a real-life spatial data analysis project 
  • Start analyzing spatial data for your projects using two powerful remote sensing tools

Supervisor Profile

Mohammad Sorowar Hossain, Ph.D.

Professional experience
22+ years (academia and industry combined)

Research experience
Molecular biology (12 years) and Public Health (9 years)

Independent University, BRAC University, University of Health Sciences and University of Wollongong, Australia

Senior Manager (Head, R&D), Incepta Biotech

Post Doc
DUKE-NUS Graduate Medical School (Singapore), Singapore Cancer Centre

National University Singapore (QS world ranking #11)

Graduation (Hons/MS)
Microbiology, University of Dhaka BRF

Research Profile
LinkedIn Profile

ResearchGate Profile

Google Scholar Profile

SM Abdullah Al Mamun

Research Assistant, Biomedical Research Foundation (BRF)

Technical expertise
GIS & Remote Sensing

Past Experiences
Project Support (GIS), Oxfam in Bangladesh

SM Abdullah Al Mamun | LinkedIn

Google Scholar Profile
‪SM Abdullah Al Mamun‬ - ‪Google Scholar‬  

ResearchGate Profile
Sm Abdullah Al Mamun (

Fee Payments

Please use Send Money to remit

Tk 19,000

Tk 15,000/- 
(for ResearchWay alumni)

After sending the payment via bKash, please register below

What happens after payment? 
You will receive an email confirmation and instructions to login to the course platform

Please allow 24 hours for processing

Refund Policy
Enrolled students can opt for a full refund (minus the processing fee) after attending the first class only


Abdullah Al Mamun
[email protected]