Satellite Image Classification using TensorFlow in Python using CNN скачать в хорошем качестве

Satellite Image Classification using TensorFlow in Python using CNN

🌟 𝗥𝗘𝗚𝗜𝗦𝗧𝗥𝗔𝗧𝗜𝗢𝗡 𝗜𝗦 𝗡𝗢𝗪 𝗢𝗣𝗘𝗡 𝗳𝗼𝗿 𝟳 𝗗𝗮𝘆𝘀 𝗼𝗳 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗚𝗼𝗼𝗴𝗹𝗲 𝗘𝗮𝗿𝘁𝗵 𝗘𝗻𝗴𝗶𝗻𝗲 𝗢𝗻𝗹𝗶𝗻𝗲 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴! 🚀 📅 Class Start: 8th September 2023 ⏳ Admission Last Date: 6th September 📅 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! 🕖 Class Duration: 7 days (Friday and Saturday in Week), 3 hours each day, Time: 9:00 PM to 12:00 AM (GMT +6) 🗣 Language Mode: English 📩 For booking your seat, contact this WhatsApp number: +8801780942798 or Email: rmijanur10266@gmail.com 📚 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 📝 Online Training Benefits: 📜 eCourse Certificate (After submitting all Assignments) 📚 Materials (Slide, PDF) 💻 Practice Code (All codes provided) 📹 Recorded Class (All class recorded videos provided) 🎓 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! 🌐🛰 #GoogleEarthEngine #RemoteSensing #GISAnalysis #OnlineTraining #GeospatialData #LearnGEE