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🛑Land use/Land cover Change detection Analysis for an Area over a certain timeline like 1991to 2021
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#RegistrationOpen for the new batch ( 1st 5 registered people get a 50% discount! Hurry Up)
Registration is open for 7 days of Complete Google Earth Engine for Remote Sensing & GIS Analysis for Beginners to Advanced.
Class Start: 7th January 2023
Admission Last Date: 5th January
Booking last Date: 1st January (1st 5 registered people get a 50% discount. To get this discount as soon as possible complete your registration)
Total Class: 7 days (Friday and Saturday in Week)
Class Durations: 3 hours (Each day), Time: 9:00 P.M to 12:00 AM (GMT +6)
These classes will teach you all the necessary things 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 can 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, Machine Learning Methods, and more.
Course Content:
1) Google Earth Engine: Introduction
2) Google Earth Engine 2: Filtering and Displaying Data
3) Google Earth Engine 3: Importing Raster and Vector Data
4) Google Earth Engine 4: Calculating with Images
5) Calculating NDVI, NDWI, and all indices.
6) Google Earth Engine 5: Introduction to Image Classification
7) Google Earth Engine 6: Landcover classification Map
8 ) Google Earth Engine 6: Exporting Raster and Vector Data
9) How to make a time-series chart for NDVI, NDWI, and other Indices
10) Spectral indices and develop the skills for calculating any index (NDVI, NDWI, NDSI, MNDWI, MSAVI)
11) How to remove CLOUD Mask from satellite Images
12) Visualization (DEM) of Hill shade and Slope Map in GEE using NASA SRTM
13) Google Earth Engine: How to make an NDVI chart over a period of time
14) Air Quality Monitoring: Nitrogen Dioxide (mol/m^2) density using Google Earth Engine JavaScript API
15) Air Quality Monitoring: Sulphur Dioxide (mol/m^2) density using Google Earth Engine JavaScript API
16) How to Download Air Quality parameters Timeseries data in CSV format using Google Earth Engine
17) How to make Landcover Classifications Charts in Google Earth Engine | LULC Map Chart
18) Land Surface temperature in GEE || Observe temporal patterns in LST using a time series Chart in GEE
19) How to Calculate Average, Maximum & Minimum NDVI in Google Earth Engine
20) Google Earth Engine: How to ADD A LEGEND, Title in your Map
21) Calculating LULC Map Area in Google Earth Engine
Join Our Community:
#gis #remotesensing #googleearthengine #EarthEngine
#project #arcgispro #no2 #geography #programming #geophysics #qgis #learndatascience #urbanplanning #arcgispro #geography #programming #geophysics #learndatascience #urbanplanning #research
Registration is open for 7 days of Complete Google Earth Engine for Remote Sensing & GIS Analysis for Beginners to Advanced.
Class Start: 7th January 2023
Admission Last Date: 5th January
Booking last Date: 1st January (1st 5 registered people get a 50% discount. To get this discount as soon as possible complete your registration)
Total Class: 7 days (Friday and Saturday in Week)
Class Durations: 3 hours (Each day), Time: 9:00 P.M to 12:00 AM (GMT +6)
These classes will teach you all the necessary things 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 can 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, Machine Learning Methods, and more.
Course Content:
1) Google Earth Engine: Introduction
2) Google Earth Engine 2: Filtering and Displaying Data
3) Google Earth Engine 3: Importing Raster and Vector Data
4) Google Earth Engine 4: Calculating with Images
5) Calculating NDVI, NDWI, and all indices.
6) Google Earth Engine 5: Introduction to Image Classification
7) Google Earth Engine 6: Landcover classification Map
8 ) Google Earth Engine 6: Exporting Raster and Vector Data
9) How to make a time-series chart for NDVI, NDWI, and other Indices
10) Spectral indices and develop the skills for calculating any index (NDVI, NDWI, NDSI, MNDWI, MSAVI)
11) How to remove CLOUD Mask from satellite Images
12) Visualization (DEM) of Hill shade and Slope Map in GEE using NASA SRTM
13) Google Earth Engine: How to make an NDVI chart over a period of time
14) Air Quality Monitoring: Nitrogen Dioxide (mol/m^2) density using Google Earth Engine JavaScript API
15) Air Quality Monitoring: Sulphur Dioxide (mol/m^2) density using Google Earth Engine JavaScript API
16) How to Download Air Quality parameters Timeseries data in CSV format using Google Earth Engine
17) How to make Landcover Classifications Charts in Google Earth Engine | LULC Map Chart
18) Land Surface temperature in GEE || Observe temporal patterns in LST using a time series Chart in GEE
19) How to Calculate Average, Maximum & Minimum NDVI in Google Earth Engine
20) Google Earth Engine: How to ADD A LEGEND, Title in your Map
21) Calculating LULC Map Area in Google Earth Engine
Join Our Community:
#gis #remotesensing #googleearthengine #EarthEngine
#project #arcgispro #no2 #geography #programming #geophysics #qgis #learndatascience #urbanplanning #arcgispro #geography #programming #geophysics #learndatascience #urbanplanning #research
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