Short Description: Date: 09 June to 28 July 2026
Location: Remote Sensing and GIS Lab, IWFM, BUET

Date: April 21, 2026

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Course Overview
This course offers a comprehensive exploration of Remote Sensing and GIS in climate monitoring and water management for water professionals. Throughout the training course, participants will master the use of mapping frameworks essential for processing, analyzing, and visualizing geospatial data, machine Learning use in prediction, and advanced application of Remote Sensing and GIS tools using Python, R, and Google Earth Engine.

What to Learn
Fundamentals of GIS: Start with the basics— GIS interface, data types and sources, different GIS tools, Georeferencing, geodatabase handling and visualization, map projections and layout etc.
Applications of RS-GIS in Climate and Water Sector: Learning principals and integration of Remote Sensing and GIS in the geospatial realm – planform analysis using satellite images, use of different platforms and techniques in advanced
water sector applications, such as, flood extent estimation; land use and land cover detection; crop identification; water and calculation; vegetation indices and climate change monitoring using modeled Data. The participants will engage in handling geospatial data, surface hydrologic analysis, assessing rainfall data, digital image processing, including planform analysis, classification, and prediction of land-use patterns, using online platforms to analyze cloud-based Remote Sensed data, visualizing global climate projection datasets including bias corrections.

Hands-On Experience: Hands-On Experience: Engage in practical labs and projects designed to reinforce the concepts covered in lectures. The participants will be able to apply this practical application in their working fields in the water and environmental sectors. By the end of the course, the participants will have a robust understanding of RS-GIS application in Water Management and Global Climate data handling, specifically tailored to geospatial analysis and visualization.

For details: See Program Schedule 

The course will be offered for 8 weeks, two days per week (Sundays and Tuesdays), from 06:00 PM to 09:00 PM.
Seats are limited

Apply Online!
https://forms.gle/FRiBRtL3WVPiQeUw9

(QR code available on the Front
Page)

Registration Details
Course Fee: 15,000 BDT

Application Deadline: 30th May 2026