Скачать или смотреть Google Earth Engine Beginner's Course 5th batch online Training || GEE Online Training

Online Training on Google Earth Engine (GEE) for Remote sensing Analysis for Beginner's, 6th Batch.
Registration is open for the 'Online Training on Google Earth Engine (GEE) for Remote sensing Analysis for Beginner's, 5th Batch, this class will teach you all the things you need 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. After completing this course, you are able to do any Remote sensing analysis very quickly and efficiently using the Google Earth Engine Platform. We cover LULC mapping, Air quality, Monitoring, Time series analysis, Calculating any Indices, Supervised Classification, and Machine Learning Methods, and more.
Course Content:
1) Introduction to Google Earth Engine, How to create a verified Earth Engine account
2) Basic JavaScript Programming Language
3) Client VS Server Object: Earth Engine Server Function
4) Filtering visualizing satellite imagery: Landsat, Sentinel, Modis
5) Importing and Exporting Raster and Vector data
6) Making Landuse and LandCover Classification Map in GEE
7) Computation with satellite imagery: Band Calculations
😎 Making time series Chart analysis
9) Air Quality Monitoring using sentinel-5
10)Spectral indices and develop the Skills for calculating any Index (NDVI, NDWI, NDSI, MNDWI, MSAVI, etc.)
👉 Registration is open and with the PROMOTIONAL value until 22/11/2021
💲 Course Fee: 120$ / 8500 INR / 8000 BDT / 4500 Ethiopian Birr(✌Take advantage of this discount for the First 5 people can join this course 50% discount )
👉 For booking Your Seat Contact this WhatsApp Number: +8801780942798 or Email: [email protected]
💻 Classes will be via Zoom on the 26th, 27th & 28th of November from 9.00 pm until 11.00 PM (BD time) or 21:00 to 23:00 (GMT+6)
✌Take advantage of this discount and sign up very first!!!
👩‍🎓👨‍🎓There are already over 150+ students who have taken part in our training and courses and many are already developing their own codes and research with the GEE.
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