Director Of Student Affairs (DSA)

Applications of Google Earth Engine (GEE) in Natural Resource Management

Objectives: After the training, participants will be able to:

Utilize geospatial data in Bangladesh's natural resources sector.

Compile geographic data and create/use maps.

Analyze geospatial information and manage big data.

Develop algorithms to process geospatial data.

Venue and Duration of the Training Program: Second floor, Office of the DSA, Khulna University.

Training Method: In-person

When: Eight consecutive Saturdays (Full day) starting from the second week of January 2024.

Instructor: Dr. Md. Saidur Rahman, Professor, Forestry and Wood Technology Discipline, Khulna University, Bangladesh.

Target Participants and Eligibility:

Maximum of 30 participants from any currently registered students (BSc third year and above) in any disciplines related to natural resources management.

Students researching natural resource management are also welcome.

Participants need to bring their own laptop and have a Gmail account.

Attendance in all classes and hands-on sessions is mandatory for certificate


Applicants with prior knowledge of GIS and remote sensing will benefit.

Applicants with no prior knowledge should demonstrate eagerness to learn quickly.

Participant Fee: Free for current students. Participants need to bring or arrange their lunch and snacks.

Content: The program will cover GIS and Remote Sensing using ArcGIS software and geospatial data analysis with Google Earth Engine (GEE).

Expected Outputs of the Training Program:

Participants are expected to apply geospatial information in natural resources management, including mapping, visualization, reporting, land use classification, and interpreting results.

Registration Process: Interested students can register through the link provided below by December 31, 2023, at 11:59 PM. Successful applicants will be notified by January 05, 2024.

Organizer: Professor Md. Sharif Hasan Limon, Director of Students Affairs, Khulna University, Khulna.

Tentative Topics and Schedule of the Training Program (subject to change depending on the type of participants and their demands)

Week Time Content of the lecture
Week 1 Morning10:00 – 10:45Opening remarksIntroduction to GIS: spatial data types, navigating ArcGIS and representing.spatial data, symbology, making high-quality maps.
11:00 –13:00 Hands-on practical session
Week 1 Afternoon14:00 – 14:45Exploring ArcGIS: Importing GPS data, working with attribute table, Digitization, understanding vector data and its application in forestry.
15:00 –17:00 Hands-on practical session
Week 2 Morning10:00 – 10:45Working with Vector data: Editing vector data, working with common proximity and overlay tools such as buffer, Near, Intersect, Clip and others.
11:00 –13:00 Hands-on practical session
Week 2 Afternoon14:00 – 14:45Spatial Analysis: Spatial analysis with vector data, Digital elevation models,Hillshade analysis, Drawing cross-profile.
15:00 –17:00 Hands-on practical session
Week 3 Morning10:00 – 10:30Advanced GIS: Geodatabase, Geoprocessing: model builder, Handlingcontinuous data, Vector to raster conversion (vice versa).
10:45 –12:30 Hands-on practical session
Remote sensing
Week 3 Afternoon14:00 – 14:30Introduction to remote sensing: spatial, temporal resolution of different satellite images, downloading satellite images, visualization in ArcGIS, Basic interpretation.
14:45 –16:30 Hands-on practical session
Week 4 Morning10:00 – 10:45Working with raster data: Creating mosaic, true color/false color composite, image enhancement, filtering, Calculation of NDVI.
11:00 –13:00 Hands-on practical session
Week 4 Afternoon14:00 – 14:45Classification of images: Supervised and unsupervised classification, accuracy assessment.
15:00 –17:00 Hands-on practical session
Week 5 Morning10:00 – 10:45Interpolation techniques: Kriging methods and applications, mechanisms, different types of kriging methods
11:00 –13:00 Hands-on practical session
Week 5 14:00 – 14:45Introduction to Google earth engine (GEE): Understanding Google Earth Engine Coder (API).

Afternoon 15:00 –17:00 Hands-on practical session
Week 6 Morning10:00 – 10:45Exploring GEE-1: Data type in EE, Managing Assets, Exporting data, Client VS Server
11:00 –13:00 Hands-on practical session
Week 6 Afternoon14:00 – 14:45Exploring GEE-2: Image Collection, Filter, Reduce, Functions, Featurecollection.
15:00 –17:00 Hands-on practical session
Week 7 Morning10:00 – 10:45Exploring GEE-3: Time series chart, Global Forest change, Time lapse videos, RADAR, LiDAR, Black Marble
11:00 –13:00 Hands-on practical session
Week 7 Afternoon14:00 – 14:45Classification: Image classification, supervised and unsupervised, accuracy assessment
15:00 –17:00 Hands-on practical session
Week 8 Morning10:00 – 10:45Handling complex data in GEE: Time lapse videos, RADAR, LiDAR, Black Marble
11:00 –13:00 Hands-on practical session
Week 8 Afternoon14:00 – 14:45GEE apps: GEE apps examples, Creation of a GEE app, Various app widgets
15:00 –17:00 Hands-on practical session
17:00 – 18.00 Closing and certificate giving ceremony