Master Google Earth Engine: Remote Sensing Analysis Online Training | New Batch Starts July 19th

These online live training classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We mainly focus on those people who don't know any programming language or Earth Engine function. We cover LULC mapping, change detection Analysis, Air Quality Monitoring, Monitoring Particulate Matter (PM2.5), Evapotranspiration, Water logging, Urban Heat Island (UHI), UFTVI, Urban growth monitoring, Urban spawral, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, Hyperparameters Tunning, Improving the accuracy, Practical project on GEE and more.
#registrationopen for a new batch of 7 days of Complete online live training on #googleearthengine for #remotesensing & #gis Analysis for Beginners to Advanced level for non-coders without any programming language knowledge. Brush up your knowledge and learn the new advanced geospatial technology.
Class Start: 19th July, 2024
Admission Last Date: 18th July, (1st 10 registered people get 50% discount).
For registration contact this WhatsApp number: [phone] or email: [e-mail]
Total Class: 7 days (Friday and Saturday in Week)
Class Duration: 4 hours (Each day)
Time: 9:00 P.M (GMT +6)
Training language: English
For more details visit our website: www.studyhacksgeospatial.com/...
Course Content:
1st day:
 Introduction to GES
 How to use GEE JavaScript and Python API
 Learn the basic principles of JavaScript syntax and Python.
 How to create the IDE for Google Earth Engine python API.
 Client vs. Server object on GEE
 How you get the server to execute your code?
 Importing Raster and Vector Data: Local storage & GEE Dataset
 Filtering Attribute Table from shapefile or Geodatabase
2nd day:
 Filtering and Displaying Satellite Images: Landsat, Sentinel, Modis
 How to merge Landsat-5 , Landsat-7, Landsat-8 and Landsat-9 and make the annual Image collection
 Single date Satellite Images
 Satellite Composite: Mosaic, Median, Mean
 Band combinations
 Export Satellite Imagery: Landsat , Sentinel and Modis
 Import, Filter, Reduce, Clip and display Raster data in GEE
 Time series Chart of NDVI using GEE readymade dataset
 Export Any Shapefile
3rd day:
 Calculating Any Indices from Satellite Images using Landsat and Sentinel
 Filtering and Displaying Satellite Images: Sentinel-2 and Monitoring NDWI , NDVI and Time series chart of NDWI and NDVI
 Flood Mapping using OTSU.
 Extract water body using Thresholding and calculate the water surface area.
 NDVI , NDWI , SAVI and all indices Time series Chart using Landsat and Sentinel
 Export Any Shapefile from GEE
 How to add Gradient Legend and Title on GEE
 NDWI Calculated from Modis and Landsat data
4th day:
 How to remove cloud and Haze from satellite imagery- Landsat and Sentinel
 Visualization (DEM) of Hill shade and Slope Map in GEE using NASA SRTM and Aster
 Land surface temperature (LST) Monitoring from Landsat satellite imagery and Modis
 Urban Heat Island (UHI) and UFTVI Monitoring using GEE.
 How to calculate Average, Maximum, Minimum NDVI any specific region.
 GEE: How to make monthly Evapotranspiration.
5th day:
 Air Quality Monitoring: all parameters
 Particulate matter 2.5 or PM2.5 monitoring and time series chart.
 How to Download Air Quality parameters Time series data in CSV format using GEE.
 Air Quality Monitoring Time Series chart
 Air Quality Monitoring: How to calculate total emission of nitrogen-oxide or any gases in GEE using sentinel-5
 ArcMap software: How to make research paper map using GEE & ArcMap software.
6th day:
 Introduction to Machine Learning in GEE
 How to make LULC Map using Machine Learning: Supervised and Unsupervised algorithm
 Random forest, CART, SVM, Minimum distance classifier to make LULC
 How to Check LULC accuracy assessment using GEE. (Kappa, Producers & Consumers accuracy)
 Calculate LULC classes Area
 How to add Legend in LULC Map
 How to Export LULC and make research paper LULC map using ArcMap
7th day:
 Land-Use and Land-Cover Change Detection using GEE
 NDVI change detection using Google Earth Engine
 NDVI Classification using GEE
 Extract the dense Vegetation using GEE and Calculate the area
 Class-wise LULC change detection in ONE layer using GEE
 Hyper parameter Tuning for improving the accuracy of your machine learning model
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