Registrations are open for a new batch of 7 days of comprehensive online training on Google Earth engine for remote sensing and GIS analysis for beginners to advanced levels.
These courses will teach you everything you need to get started using GEE for your remote sensing analysis. We mainly focus on those people who don't know any programming language or Earth Engine functions. We cover LULC mapping, air quality, monitoring, time series analysis, index calculation, supervised classification, machine learning methods, and more.

Start of classes: September 8, 2023
Admission deadline: September 5, 2023 (the first 10 people registered receive a 50% discount)
Total course: 7 days (Friday and Saturday during the week)
Course duration: 3 hours (each day), time: 9:00 p.m. to midnight (GMT 6)

To register, contact this WhatsApp number: 8801780942798 or Email: [email protected]

Course content:
1. GEE: Introduction
2. JavaScript programming language from A to Z
3. GEE server language from A to Z
4. Filtering and displaying rater and vector data
5. Importing raster and vector data into GEE
6. Calculation with images: raster calculations
7. Calculation of NDVI, NDWI, EVI and all indices.
8. Introduction to Image Classification in GEE
9. Landover and land use classification map using machine learning
10. Classification of Cropland Using Machine Learning
11. Exporting raster and vector data from GEE
12. How to create a research paper map using GEE and ArcMap software.
13.How to create a time series chart for NDVI, NDWI and other indices?
14. Spectral indices and develop the skills to calculate any index (NDVI, NDWI, NDSI, MNDWI, MSAVI)
15. How to remove CLOUD mask from satellite images
16. How to monitor periods of surface water rain and drought
17. Visualization (DEM) of hill shadow, aspect and slope map
18. How to Create a Time Period NDVI Chart of Farmland
19. Air quality monitoring: atmospheric concentrations of ozone, methane, formaldehyde,
aerosol, carbon monoxide, nitrogen oxide and sulfur dioxide
20. How to Download Air Quality Parameters Time Series Data in CSV Format Using GEE
21. How to evaluate LULC accuracy using Google Earth Engine. (Kappa, precision of producers and consumers)
22. Land Surface Temperature Monitoring Using Landsat and MODIS Create a Time Series Plot of LST
23. How to calculate average, maximum and minimum pixel values using GEE
24. How to Calculate Classified Area Using GEE
25. How to create a single class map such as city maps, water body maps, etc.
26. How to ADD LEGEND, Title in GEE

Advantages of online training:
* Course certificate (after submitting all assignments)
* Material (slide, PDF)
* Code of practice (all codes provide)
*Recorded class (recorded video of all classes provided)
*Lifetime educational support

Join our community:
Join the Telegram group: https://t.me/gisandremotesenginglearningGEE/

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