7 Days online training on Google Earth Engine for Remote sensing Analysis Beginner to Advanced

Registration is open for the 'Online Training on Google Earth Engine (GEE) for Remote sensing Analysis for Beginner's, 15th Batch.

✌Take advantage of this discount and register very first!!!
✌ Register 1st 5 People to get a 50% Discount.

💻 Classes will be via Zoom on the 12th, 13th & 14th of May from 9.00 pm until 12.00 AM (BD time) or 21:00 to 00:00 (GMT+6);
Class Duration: 3 hours

Online Training on Google Earth Engine (GEE) for Remote sensing Analysis for Beginners, 15th Batch, this class will teach you all the things you need to start using GEE for your remote sensing analysis. We mainly focus on these people who don't know any programming language and Earth Engine function. After completing this course, you are able to do any Remote sensing analysis very quickly and efficiently using the Google Earth Engine Platform. We cover LULC mapping, Air quality, Monitoring, Time series analysis, Calculating any Indices, Supervised Classification, Machine Learning Methods, and more.

Course Content:
1) Introduction to Google Earth Engine, How to create a verified Earth Engine account
2) Basic JavaScript Programming Language
3) Client VS Server Object: Earth Engine Server Function
4) Filtering visualizing satellite imagery: Landsat, Sentinel, Modis
5) Importing and Exporting Raster and Vector data
6) Making Landuse and LandCover Classification Map in GEE
7) Computation with satellite imagery: Band Calculations
8 ) Making time series Chart analysis
9) Air Quality Monitoring using sentinel-5
10)Spectral indices and develop the Skills for calculating any Index (NDVI, NDWI, NDSI, MNDWI, MSAVI, etc.)

💲 Course Fee: 200$ / 10,500 INR / 10,000 BDT / 5000 Ethiopian Birr(✌Take advantage of this discount for the First 5 people can join this course 50% discount only 100$ / 5250 INR / 5000 Bangladeshi Taka / 2500 Ethiopian Birr )

✌Take advantage of this discount and register very first!!!

👩‍🎓👨‍🎓There are already over 150+ students who have taken part in our training and courses and many are already developing their own codes and research with the GEE.

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