Land use and Land cover classification using Random forest machine learning in Google Earth Engine скачать в хорошем качестве

Land use and Land cover classification using Random forest machine learning in Google Earth Engine

Registration is open for a new batch of 7 days of Complete Google Earth Engine for Remote Sensing & GIS Analysis online training for Beginners to Advanced levels. These classes will teach you all the necessary things 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. We cover LULC mapping, Air quality, Monitoring, Time series analysis, Calculating any Indices, Supervised Classification, Machine Learning Methods, and more. Class Start: 5 August 2023 Admission Last Date: 4th August 2023 ( 1st 5 registered people get 50% discount) Total Class: 7 days (Friday and Saturday in Week) Class Duration: 3 hours (Each day), Time: 9:00 P.M to 12:00 A.M (GMT +6) For registration contact this WhatsApp number: +8801780942798 or Email: rmijanur10266@gmail.com Course Content: 1. GEE: Introduction 2. JavaScript programming language A to Z 3. GEE Server language A to Z 4. Filtering and Displaying Rater & Vector data 5. Importing Raster and Vector Data in GEE 6. Calculating with Images: Raster Calculations 7. Calculating NDVI, NDWI, EVI , & all indices. 8. Introduction to Image Classification in GEE 9. Landover & Land use classification Map using Machine learning 10. Crop land classification using Machine Learning 11. Exporting Raster and Vector Data from GEE 12. How to make research paper map using GEE & ArcMap software. 13.How to make a time-series chart for NDVI, NDWI, and other Indices? 14. Spectral indices and develop the skills for calculating any index (NDVI, NDWI, NDSI, MNDWI, MSAVI) 15. How to remove CLOUD Mask from satellite Images 16. How to monitor surface water rainy and Dry time periods 17. Visualization (DEM) of Hill shade , Aspect and Slope Map 18. How to make an NDVI chart over a period of time of a Agricultural Land 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 make LULC accuracy assessment using Google Earth Engine. (Kappa, Producers & Consumers accuracy) 22. Monitoring Land Surface temperature using Landsat and MODIS || Make Time series chart of LST 23. How to Calculate Average, Maximum & Minimum pixel values using GEE 24. How to calculate the Classified Area using GEE 25. How to make a single class Map such as Urban maps, Water body maps,s, etc. 26. How to ADD A LEGEND, Title in GEE Online Training Benefits: Course Certificate (After submitting all Assignments) Materials (Slide, PDF) Practice Code (All codes provide) Recorded Class (All class recorded video provided) Lifetime teaching support Join Our Community: Join the Telegram group: https://t.me/gisandremotesenginglearn...