Satellite Image Classification using TensorFlow in Python using CNN

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ะŸะพะบะฐะทะฐั‚ัŒ ะพะฟะธัะฐะฝะธะต
๐ŸŒŸ ๐—ฅ๐—˜๐—š๐—œ๐—ฆ๐—ง๐—ฅ๐—”๐—ง๐—œ๐—ข๐—ก ๐—œ๐—ฆ ๐—ก๐—ข๐—ช ๐—ข๐—ฃ๐—˜๐—ก ๐—ณ๐—ผ๐—ฟ ๐Ÿณ ๐——๐—ฎ๐˜†๐˜€ ๐—ผ๐—ณ ๐—–๐—ผ๐—บ๐—ฝ๐—น๐—ฒ๐˜๐—ฒ ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ ๐—˜๐—ฎ๐—ฟ๐˜๐—ต ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐—ง๐—ฟ๐—ฎ๐—ถ๐—ป๐—ถ๐—ป๐—ด! ๐Ÿš€

๐Ÿ“… Class Start: 8th September 2023
โณ Admission Last Date: 6th September
๐Ÿ“… Booking Last Date: 8th September (1st 10 registered people get a 50% discount. To get this discount as soon as possible complete your registration). Now only 5 seats are available to get this 50% discount. Hurry up!

๐Ÿ•– Class Duration: 7 days (Friday and Saturday in Week), 3 hours each day, Time: 9:00 PM to 12:00 AM (GMT +6)

๐Ÿ—ฃ Language Mode: English

๐Ÿ“š Course Content:
1. Google Earth Engine: Introduction
2. JavaScript programming language A to Z
3. Google Earth Engine 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 an 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 Google Earth Engine
25. How to make single class Map such as Urban maps, Water body maps, etc.
26. How to ADD A LEGEND, Title in Google Earth Engine

๐Ÿ“ Online Training Benefits:
๐Ÿ“œ eCourse Certificate (After submitting all Assignments)
๐Ÿ“š Materials (Slide, PDF)
๐Ÿ’ป Practice Code (All codes provided)
๐Ÿ“น Recorded Class (All class recorded videos provided)
๐ŸŽ“ Lifetime teaching support

Don't miss this opportunity to enhance your Remote Sensing & GIS Analysis skills using Google Earth Engine. Join us now and unlock the power of geospatial data! ๐ŸŒ๐Ÿ›ฐ

#GoogleEarthEngine #RemoteSensing #GISAnalysis #OnlineTraining #GeospatialDataย #LearnGEE
ะ ะตะบะพะผะตะฝะดะฐั†ะธะธ ะฟะพ ั‚ะตะผะต
ะšะพะผะผะตะฝั‚ะฐั€ะธะธ
ะะฒั‚ะพั€

Hello Sir, can you pls provide us the source code so that we can run and learn from it. Thanks

FirozHasan-dz
ะะฒั‚ะพั€

what if have to prepare own dataset for the classification

Mrnorthpolestar