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Google Earth Engine: 15 days Advanced Online Training Program: https://youtu.be/fhBWHFayadc?siBFqSTvKs_8rvnNHX
Online training on the R package to interact with the Google Earth Engine program: https://youtu.be/3w6k0jtqrKo?sitLXp0efQogrRF3jy
7 Days Online Master Google Earth Engine Training for Remote Sensing and GIS Analysis for Beginners to Advanced. Course content: https://youtu.be/1nC4sTVKQgw?siDzoil7CyqZH_QPcW
Registrations are open for a new batch of 7 days of comprehensive online training on Google Earth engine for remote sensing and GIS analysis for beginners to advanced levels.
These courses will teach you everything you need to get started using GEE for your remote sensing analysis. We mainly focus on those people who don't know any programming language or Earth Engine functions. We cover LULC mapping, air quality, monitoring, time series analysis, index calculation, supervised classification, machine learning methods, and more.
Start of classes: January 12, 2024
Admission deadline: January 10, 2024 (the first 10 people registered receive a 50% discount)
Total course: 7 days (Friday and Saturday during the week)
Course duration: 3 hours (each day), time: 9:00 p.m. to midnight (GMT 6)
To register, contact this WhatsApp number: 8801780942798 or Email: [email protected]
1st day :
Introduction to GES
How to use GEE's JavaScript and Python API
Learn the basics of JavaScript syntax and Python
Client vs server object on GEE
How to get the server to run your code?
Importing raster and vector data: local storage and GEE dataset
Filter attribute table
2nd day :
Filtering and displaying satellite images: Landsat, Sentinel
Satellite composite
Band combinations
Export satellite images: Landsat, Sentinel and Modis
Import, filter, reduce, clip and display raster data in GEE
Time series plot of NDVI using GEE ready-made dataset
Export any shapefile
3rd day:
Calculating indices from satellite images using Landsat and Sentinel
Filtering and displaying satellite images: Sentinel-2 and NDWI, NDVI monitoring
Extract a body of water using the threshold
NDVI, NDWI, SAVI and all indices Time series graph using Landsat and Sentinel
Export any shapefile from GEE
How to add a gradient legend and title on GEE
NDWI calculated from Modis and Landsat data
4th day:
How to remove clouds and haze from satellite images – Landsat and Sentinel
Visualization (DEM) of hill shading and slope map in GEE using NASA SRTM and Aster
Land surface temperature (LST) monitoring from Landsat and Modis satellite imagery
How to calculate the average, maximum and minimum NDVI for a specific region
GEE: How to do monthly evapotranspiration
5th day:
Air quality monitoring: all parameters
How to download air quality parameter time series data in CSV format using GEE
Air quality monitoring time series chart
Air quality monitoring: how to calculate total emissions of nitrogen oxide or any gas in the GEE using Sentinel-5
ArcMap Software: How to Create a Research Paper Map Using GEE and ArcMap Software
6th day:
Introduction to Machine Learning in Google Earth Engine
How to Create a LULC Map Using Machine Learning: Supervised and Unsupervised Algorithm
Random forest, CART, SVM, minimum distance classifier to create LULC
How to check LULC accuracy rating using Google Earth Engine. (Kappa, Producers and Consumers
precision)
Calculate the area of LULC classes
How to add a legend in LULC map
How to export LULC and create a research paper LULC map using ArcMap
7th day:
Detecting land use and cover changes using Google Earth Engine
Detecting NDVI changes using Google Earth Engine
Detecting LULC changes by class in ONE layer using Google Earth Engine
Tuning hyperparameters to improve the accuracy of your machine learning model
Advantages of online training:
* Course certificate (after submitting all assignments)
* Material (slide, PDF)
* Code of practice (all codes provide)
*Recorded class (recorded video of all classes provided)
*Lifetime educational support
Join our community:
Join the Telegram group: https://t.me/gisandremotesenginglearningGEE/
Please take the opportunity to connect and share this video with your friends and family if you find it useful.
