REGISTRATION IS OPEN FOR 8 DAYS ONLINE TRAINING  PROGRAM ON GOOGLE EARTH ENGINE FOR GIS &  REMOTE SENSING ANALYSIS FOR BASIC TO ADVANCED LEVEL

This is a basic to advanced course on google earth engine(GEE). Google Earth Engine is an important Platform for GIS and Remote Sensing analysis. We are focusing these type of people who have no programming skills to run Google earth engine for remote sensing analysis. At the end of this course you will be able to easily manage remote sensing work using Google Earth Engine platform. We cover LULC mapping , Digital Elevation Model (DEM), LST , Air quality monitoring parameters , NDVI , NDWI and all indices Time series analysis and more topic.

        8 days Course Content:  

Ø  INTRODUCTION:

1. Introducing About Google Earth Engine

2. How To Create Google Earth Engine Account

3. Introducing Google Earth Engine Code editor

4. Familiarity With the Basic JavaScript Syntex in GEE

5. Introducing Client Vs Server Object in Google Earth Engine

6. Basic of Import and Export Any Raster and Vector data in Google Earth Engine

Ø Calculating Band Combination In GEE: 

7. Band Combination Using Satellite Imagery

8. Band Combination of Different Dataset in GEE

Ø Basic Of Image Visualization:

9.  How to Filtering Satellite image in GEE

10. How to Displaying Satellite image in GEE

Ø Calculating Indices in GEE:

11. Normalized Difference Vegetation Index (NDVI)

12. Enhanced Vegetation Index (EVI)

13. Normalized Difference Water Index (NDWI)

14. Normalized Difference Buildup Index (NDBI)

15. Normalized Difference Drought Index (NDDI)

16. Normalized Difference Snow Index (NDSI) and others

17. How To make Time series Chart and Data for all indices

Ø Calculating Soil Moisture:

18. Soil Moisture Index in GEE

19. Calculating Average Prof Soil Moisture Index in GEE

Ø Land Surface Temperature Monitoring:

20.  How To Calculate Land Surface Temperature(LST) Monitoring using  MODIS Dataset in GEE

21. How To Calculate Land Surface Temperature(LST) Monitoring using  Landsat Dataset in GEE

22. How to Calculate Land Aerosol Optical Depth(AOD) in GEE

23. How To make Time series Chart and time series Data for LST in GEE

Ø Calculating Air Quality Monitoring Parameter:

24. How To Calculate Carbon Monoxide (CO)  unit (mol/m^2) using GEE

25. How To Calculate Nitrogen Dioxide (NO2)  unit (mol/m^2) using GEE

26. How To Calculate Sulphur Dioxide (SO2) unit (mol/m^2) using GEE

27. How To Calculate Methane (CH4 using GEE platform

28. How to Make Time series Chart and data for all Air quality parameters in GEE

Ø Calculate Digital Elevation Model (DEM) Data:

29. How To make Hill shade ,Slope & Aspect Map using Different Dataset in GEE

30. How To Export Hill shade ,Slope & Aspect Map using Different Dataset in GEE

Ø Land Use Land Cover (LULC) Analysis

31. How To Create LULC Map Using GEE Platform

32. How To Apply supervised & Unsupervised Classification Using GEE

33. How To Apply Random Forest & CART Classifier in GEE

34. Accuracy Assessment of LULC (producer accuracy, Kappa accuracy and others)

35. How To Calculate Area for each LULC Class in Google Earth Engine

Online Training Facilities : 

•   Course Materials (Slide, PDF & others )

•   Practice Code Script  (All Script provided for practice )

•   Recorded Class ( Recorded video provided for lifetime access)

•   Provide E-Certificate (After complete assignment) 

•   Teaching support for lifetime

Land Use Land Cover Classification Course Using Google Earth Engine Platform 

Land Use Land Cover  Training Facilities : 

•   Course Materials (Slide, PDF & others )

•   Practice Code Script  (All Script provided for practice )

•   Recorded Class ( Recorded video provided for lifetime access)

•   Provide E-Certificate (After complete assignment) 

•   Teaching support for lifetime