Study Hacks-Institute of GIS & Remote Sensing

Remote Sensing training for Forest Management using Google Earth Engine
Recorded class link: youtube.com/live/8tDdd2kNymE?si=35KYpXz86o3TyKCl

📢 Registration is now open for the 35th Batch of 7-day comprehensive online live training on Google Earth Engine (GEE) for Remote Sensing and GIS Analysis using JavaScript and Python APIs, tailored for beginners to advanced learners. Designed specifically for non-coders, this course empowers you with advanced geospatial skills—no prior programming knowledge is required! 📡🛰️

These classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We primarily focus on individuals who are unfamiliar with programming languages and the Earth Engine function. We cover LULC mapping, Change detection Analysis, Air quality Monitoring, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, and more.

📅 Class Start: 14th November 2025
⏳ Admission Deadline: 13th November 2025
🎉 Special Offer: First 10 registrants get 50% off – Book your seat now!

Class Schedule:
Duration: 7 days (Fridays & Saturdays in a week)
Time: 9:00 PM – 1:00 AM (GMT +6)
Language: English

Online Training Benefits
Ø * Course Certificate (After submitting all Assignments)
Ø * Materials (Slide, PDF)
Ø * Practice Code (All codes provide)
Ø * Recorded Class (All classes recorded video provided)
Ø * Lifetime teaching support


🚀 What Will You Be Able to Do After Completing the Training?
1) Perform advanced remote sensing analysis using Landsat, Sentinel, and MODIS datasets.
2) Build NDVI, NDWI, SAVI, and other vegetation index time series and perform change detection.
3) Monitor floods, air pollution, LST, evapotranspiration, and more with Google Earth Engine.
4) Create and export custom maps, charts, and geospatial reports for academic and real-world projects.
5) Apply Machine Learning algorithms (Random Forest, SVM, CART) for LULC classification and accuracy assessment.
6) Combine GEE outputs with GIS software (like ArcMap) for creating publishable research maps.
7) Download and visualize air quality data, LULC changes, and NDVI trends in CSV, KML, and other formats.
8 ) Confidently conduct end-to-end geospatial research and project work—even with zero prior coding experience!

For more information about registration, visit our website: www.studyhacksgeospatial.com/google-earth-engine/

For Registration, Contact this Email: rmijanur10266@gmail.com
Or WhatsApp 24/7: +8801780942798 or wa.me/8801780942798


Course Content:
1st day:
 Introduction to GEE
 How to use GEE JavaScript and Python API
 Learn the basic principles of JavaScript syntax and python
 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


2nd day:
 Filtering and Displaying Satellite Images: Landsat , Sentinel
 Satellite Composite
 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 the 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
 Extract water body using Thresholding
 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
 How to calculated Average , Maximum, Minimum NDVI any specific region
 GEE: How to make monthly Evapotranspiration

5th day:
 Air Quality Monitoring: all prameters
 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-5p
 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 GEE
 Class-wise LULC change detection in ONE layer using GEE
 Hyper parameter Tuning for improving the accuracy of your machine learning model

🔗 Stay Connected
🔹 Telegram Group: t.me/gisandremotesenginglearningGEE
🔹 YouTube Channel: youtube.com/@gisrsinstitute
🔹 Instagram: www.instagram.com/geospatial_analysis_learning/
🔹 Twitter: x.com/GISRSStudyHacks
🔹 Facebook Page: www.facebook.com/gisrsinstitute/


#RemoteSensing #ForestManagement #GoogleEarthEngine #GeospatialAnalysis #EnvironmentalScience #SustainableForestry #DataScience #EarthObservation #RemoteSensingTraining #GIS #Forestry #ClimateChange #NaturalResourceManagement #SatelliteImagery #LandUse #Biodiversity #Conservation #RemoteSensingApplications #ForestMonitoring #TrainingProgram #DigitalForestry #EcoTechnology #SpatialData #EnvironmentalMonitoring #RemoteSensingEducation #GeospatialTechnology #ForestHealth #PrecisionForestry #RemoteSensingExperts #SustainableDevelopment #EarthData

7 hours ago | [YT] | 4

Study Hacks-Institute of GIS & Remote Sensing

How to make a map layout using ArcMap? Map created using ArcGIS.

Tutorial Link: https://youtu.be/gGdJzmyGasE


📢 Registration is now open for the 35th Batch of 7-day comprehensive online live training on Google Earth Engine (GEE) for Remote Sensing and GIS Analysis using JavaScript and Python APIs, tailored for beginners to advanced learners. Designed specifically for non-coders, this course empowers you with advanced geospatial skills—no prior programming knowledge is required! 📡🛰


These classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We primarily focus on individuals who are unfamiliar with programming languages and the Earth Engine function. We cover LULC mapping, Change detection Analysis, Air quality Monitoring, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, and more.



📅 Class Start: 14th November 2025
⏳ Admission Deadline: 13th November 2025
🎉 Special Offer: First 10 registrants get 50% off – Book your seat now!



Class Schedule:
Duration: 7 days (Fridays & Saturdays in a week)
Time: 9:00 PM – 1:00 AM (GMT +6)
Language: English



Online Training Benefits
Ø * Course Certificate (After submitting all Assignments)
Ø * Materials (Slide, PDF)
Ø * Practice Code (All codes provide)
Ø * Recorded Class (All classes recorded video provided)
Ø * Lifetime teaching support



🚀 What Will You Be Able to Do After Completing the Training?
1) Perform advanced remote sensing analysis using Landsat, Sentinel, and MODIS datasets.
2) Build NDVI, NDWI, SAVI, and other vegetation index time series and perform change detection.
3) Monitor floods, air pollution, LST, evapotranspiration, and more with Google Earth Engine.
4) Create and export custom maps, charts, and geospatial reports for academic and real-world projects.
5) Apply Machine Learning algorithms (Random Forest, SVM, CART) for LULC classification and accuracy assessment.
6) Combine GEE outputs with GIS software (like ArcMap) for creating publishable research maps.
7) Download and visualize air quality data, LULC changes, and NDVI trends in CSV, KML, and other formats.
8 ) Confidently conduct end-to-end geospatial research and project work—even with zero prior coding experience!
For more information about registration, visit our website: Link is attached in the comment

For more information about registration, visit our website: www.studyhacksgeospatial.com/google-earth-engine/



For Registration, Contact this Email: rmijanur10266@gmail.com
Or WhatsApp 24/7: ‪+8801780942798‬



Course Content:
1st day:
 Introduction to GEE
 How to use GEE JavaScript and Python API
 Learn the basic principles of JavaScript syntax and python
 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
2nd day:
 Filtering and Displaying Satellite Images: Landsat , Sentinel
 Satellite Composite
 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 the 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
 Extract water body using Thresholding
 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
 How to calculated Average , Maximum, Minimum NDVI any specific region
 GEE: How to make monthly Evapotranspiration
5th day:
 Air Quality Monitoring: all prameters
 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-5p
 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 GEE
 Class-wise LULC change detection in ONE layer using GEE
 Hyper parameter Tuning for improving the accuracy of your machine learning model



#ArcMap #ArcGIS #MapLayout #GIS #Geospatial #Cartography #Mapping #DataVisualization #SpatialAnalysis #GISCommunity #GeographicInformationSystems #MapDesign #GISProfessionals #ArcGISPro #MapMaking #GeospatialAnalysis #GISMapping #DataMapping #GISEducation

1 day ago | [YT] | 7

Study Hacks-Institute of GIS & Remote Sensing

📢 Registration is now open for the 35th Batch of 7-day comprehensive online live training on Google Earth Engine (GEE) for Remote Sensing and GIS Analysis using JavaScript and Python APIs, tailored for beginners to advanced learners. Designed specifically for non-coders, this course empowers you with advanced geospatial skills—no prior programming knowledge is required! 📡🛰️

These classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We primarily focus on individuals who are unfamiliar with programming languages and the Earth Engine function. We cover LULC mapping, Change detection Analysis, Air quality Monitoring, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, and more.



📅 Class Start: 14th November 2025
⏳ Admission Deadline: 13th November 2025
🎉 Special Offer: First 10 registrants get 50% off – Book your seat now!

Class Schedule:
Duration: 7 days (Fridays & Saturdays in a week)
Time: 9:00 PM – 1:00 AM (GMT +6)
Language: English



Online Training Benefits
Ø * Course Certificate (After submitting all Assignments)
Ø * Materials (Slide, PDF)
Ø * Practice Code (All codes provide)
Ø * Recorded Class (All classes recorded video provided)
Ø * Lifetime teaching support

Course Content:
1st day:
 Introduction to GEE
 How to use GEE JavaScript and Python API
 Learn the basic principles of JavaScript syntax and python
 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


2nd day:
 Filtering and Displaying Satellite Images: Landsat , Sentinel
 Satellite Composite
 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 the 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
 Extract water body using Thresholding
 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
 How to calculated Average , Maximum, Minimum NDVI any specific region
 GEE: How to make monthly Evapotranspiration

5th day:
 Air Quality Monitoring: all prameters
 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-5p
 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 GEE
 Class-wise LULC change detection in ONE layer using GEE
 Hyper parameter Tuning for improving the accuracy of your machine learning model


🚀 What Will You Be Able to Do After Completing the Training?
1) Perform advanced remote sensing analysis using Landsat, Sentinel, and MODIS datasets.
2) Build NDVI, NDWI, SAVI, and other vegetation index time series and perform change detection.
3) Monitor floods, air pollution, LST, evapotranspiration, and more with Google Earth Engine.
4) Create and export custom maps, charts, and geospatial reports for academic and real-world projects.
5) Apply Machine Learning algorithms (Random Forest, SVM, CART) for LULC classification and accuracy assessment.
6) Combine GEE outputs with GIS software (like ArcMap) for creating publishable research maps.
7) Download and visualize air quality data, LULC changes, and NDVI trends in CSV, KML, and other formats.
8 ) Confidently conduct end-to-end geospatial research and project work—even with zero prior coding experience!


For more information about registration, visit our website: www.studyhacksgeospatial.com/google-earth-engine/

For Registration, Contact this Email: rmijanur10266@gmail.com
Or WhatsApp 24/7: +8801780942798 or wa.me/8801780942798




#GoogleEarthEngine #RemoteSensing #GIS #GeospatialAnalysis #OnlineTraining #JavaScript #PythonAPIs #NonCoders #GeospatialSkills #DataScience #EarthObservation #EnvironmentalScience #SpatialAnalysis #RemoteSensingTraining #GISTraining #TechForGood #LearningJourney #SkillDevelopment #ProfessionalGrowth #CareerDevelopment #DataVisualization #GeographicInformationSystems #OnlineLearning #TechEducation #CodingForBeginners #GeospatialTechnology #EarthData #InnovationInGIS #TrainingOpportunities #EmpowermentThroughEducation

1 day ago | [YT] | 10

Study Hacks-Institute of GIS & Remote Sensing

Tutorial about Land use and Land cover Future prediction using Machine learning

Tutorial Link: youtube.com/live/v9VMWkxJPO8?si=zT71xAyQ3gwGszPY


📢 Registration is now open for the 35th Batch of 7-day comprehensive online live training on Google Earth Engine (GEE) for Remote Sensing and GIS Analysis using JavaScript and Python APIs, tailored for beginners to advanced learners. Designed specifically for non-coders, this course empowers you with advanced geospatial skills—no prior programming knowledge is required! 📡🛰️



These classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We primarily focus on individuals who are unfamiliar with programming languages and the Earth Engine function. We cover LULC mapping, Change detection Analysis, Air quality Monitoring, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, and more.



📅 Class Start: 14th November 2025

⏳ Admission Deadline: 13th November 2025

🎉 Special Offer: First 10 registrants get 50% off – Book your seat now!



Class Schedule:

Duration: 7 days (Fridays & Saturdays in a week)

Time: 9:00 PM – 1:00 AM (GMT +6)

Language: English



Online Training Benefits

Ø * Course Certificate (After submitting all Assignments)

Ø * Materials (Slide, PDF)

Ø * Practice Code (All codes provide)

Ø * Recorded Class (All classes recorded video provided)

Ø * Lifetime teaching support



For more information about registration, visit our website: www.studyhacksgeospatial.com/google-earth-engine/



For Registration, Contact this Email: rmijanur10266@gmail.com

Or WhatsApp 24/7: +8801780942798 or wa.me/8801780942798

#LandUse #LandCover #MachineLearning #FuturePrediction #GeospatialAnalysis #RemoteSensing #DataScience #AIinAgriculture #SustainableDevelopment #EnvironmentalMonitoring #PredictiveModeling #GIS #SpatialData #ClimateChange #UrbanPlanning #AgriculturalTech #DataVisualization #BigData #SmartCities #LandManagement #EarthObservation #DeepLearning #DataDriven #TechForGood #Innovation #Research #Sustainability #EnvironmentalScience #MachineLearningTutorial #DataAnalytics #FutureOfLandUse

4 days ago | [YT] | 16

Study Hacks-Institute of GIS & Remote Sensing

Tutorial about Drought Monitoring using VHI, VCI, TCI in Google Earth Engine. Tutorial Link: youtube.com/live/74_EkBBu1qI?si=DQnwCsbAZFMjrQjl


📢 Registration is now open for the 35th Batch of 7-day comprehensive online live training on Google Earth Engine (GEE) for Remote Sensing and GIS Analysis using JavaScript and Python APIs, tailored for beginners to advanced learners. Designed specifically for non-coders, this course empowers you with advanced geospatial skills—no prior programming knowledge is required! 📡🛰️



These classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We primarily focus on individuals who are unfamiliar with programming languages and the Earth Engine function. We cover LULC mapping, Change detection Analysis, Air quality Monitoring, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, and more.

📅 Class Start: 14th November 2025

⏳ Admission Deadline: 13th November 2025

🎉 Special Offer: First 10 registrants get 50% off – Book your seat now!



Class Schedule:

Duration: 7 days (Fridays & Saturdays in a week)

Time: 9:00 PM – 1:00 AM (GMT +6)

Language: English



Online Training Benefits

Ø * Course Certificate (After submitting all Assignments)

Ø * Materials (Slide, PDF)

Ø * Practice Code (All codes provide)

Ø * Recorded Class (All classes recorded video provided)

Ø * Lifetime teaching support



For more information about registration, visit our website: www.studyhacksgeospatial.com/google-earth-engine/



For Registration, Contact this Email: rmijanur10266@gmail.com

Or WhatsApp 24/7: +8801780942798 or wa.me/8801780942798

1 week ago | [YT] | 21

Study Hacks-Institute of GIS & Remote Sensing

Tutorial about Estimating Land Surface Temperature, Urban Heat Island using Landsat | Google Earth Engine Tutorial
Tutorial link: youtube.com/live/xfznFz3CJmY?si=5u4KdFxT5E-ewYo_

📢 Registration is now open for the 35th Batch of 7-day comprehensive online live training on Google Earth Engine (GEE) for Remote Sensing and GIS Analysis using JavaScript and Python APIs, tailored for beginners to advanced learners. Designed specifically for non-coders, this course empowers you with advanced geospatial skills—no prior programming knowledge is required! 📡🛰️

These classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We primarily focus on individuals who are unfamiliar with programming languages and the Earth Engine function. We cover LULC mapping, Change detection Analysis, Air quality Monitoring, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, and more.



📅 Class Start: 14th November 2025
⏳ Admission Deadline: 13th November 2025
🎉 Special Offer: First 10 registrants get 50% off – Book your seat now!

Class Schedule:
Duration: 7 days (Fridays & Saturdays in a week)
Time: 9:00 PM – 1:00 AM (GMT +6)
Language: English

Online Training Benefits
Ø * Course Certificate (After submitting all Assignments)
Ø * Materials (Slide, PDF)
Ø * Practice Code (All codes provide)
Ø * Recorded Class (All classes recorded video provided)
Ø * Lifetime teaching support

🚀 What Will You Be Able to Do After Completing the Training
1) Perform advanced remote sensing analysis using Landsat, Sentinel, and MODIS datasets.
2) Build NDVI, NDWI, SAVI, and other vegetation index time series and perform change detection.
3) Monitor floods, air pollution, LST, evapotranspiration, and more with Google Earth Engine.
4) Create and export custom maps, charts, and geospatial reports for academic and real-world projects.
5) Apply Machine Learning algorithms (Random Forest, SVM, CART) for LULC classification and accuracy assessment.
6) Combine GEE outputs with GIS software (like ArcMap) for creating publishable research maps.
7) Download and visualize air quality data, LULC changes, and NDVI trends in CSV, KML, and other formats.
8 ) Confidently conduct end-to-end geospatial research and project work—even with zero prior coding experience!

For more information about registration, visit our website: www.studyhacksgeospatial.com/google-earth-engine/

For Registration, Contact this Email: rmijanur10266@gmail.com
Or WhatsApp 24/7: +8801780942798 or wa.me/8801780942798


🔗 Stay Connected
🔹 Telegram Group: t.me/gisandremotesenginglearningGEE
🔹 YouTube Channel: youtube.com/@gisrsinstitute
🔹 Instagram: www.instagram.com/geospatial_analysis_learning/
🔹 Twitter: x.com/GISRSStudyHacks
🔹 Facebook Page: www.facebook.com/gisrsinstitute/

#LandSurfaceTemperature #UrbanHeatIsland #Landsat #GoogleEarthEngine #RemoteSensing #ClimateChange #EnvironmentalScience #DataAnalysis #GeospatialAnalysis #SustainableCities

1 week ago | [YT] | 13

Study Hacks-Institute of GIS & Remote Sensing

What is Spatial resolution in remote sensing? Remote Sensing tutorial
Tutorial Link: https://youtu.be/5Y41s3GnYjM


📢 Registration is now open for the 35th Batch of 7-day comprehensive online live training on Google Earth Engine (GEE) for Remote Sensing and GIS Analysis using JavaScript and Python APIs, tailored for beginners to advanced learners. Designed specifically for non-coders, this course empowers you with advanced geospatial skills—no prior programming knowledge is required! 📡🛰️

These classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We primarily focus on individuals who are unfamiliar with programming languages and the Earth Engine function. We cover LULC mapping, Change detection Analysis, Air quality Monitoring, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, and more.

📅 Class Start: 14th November 2025
⏳ Admission Deadline: 13th November 2025
🎉 Special Offer: First 10 registrants get 50% off – Book your seat now!



Class Schedule:
Duration: 7 days (Fridays & Saturdays in a week)
Time: 9:00 PM – 1:00 AM (GMT +6)
Language: English

Online Training Benefits

Ø * Course Certificate (After submitting all Assignments)

Ø * Materials (Slide, PDF)

Ø * Practice Code (All codes provide)

Ø * Recorded Class (All classes recorded video provided)

Ø * Lifetime teaching support





🚀 What Will You Be Able to Do After Completing the Training?

1) Perform advanced remote sensing analysis using Landsat, Sentinel, and MODIS datasets.

2) Build NDVI, NDWI, SAVI, and other vegetation index time series and perform change detection.

3) Monitor floods, air pollution, LST, evapotranspiration, and more with Google Earth Engine.

4) Create and export custom maps, charts, and geospatial reports for academic and real-world projects.

5) Apply Machine Learning algorithms (Random Forest, SVM, CART) for LULC classification and accuracy assessment.

6) Combine GEE outputs with GIS software (like ArcMap) for creating publishable research maps.

7) Download and visualize air quality data, LULC changes, and NDVI trends in CSV, KML, and other formats.

8 ) Confidently conduct end-to-end geospatial research and project work—even with zero prior coding experience!



For more information about registration, visit our website: www.studyhacksgeospatial.com/google-earth-engine/



For Registration, Contact this Email: rmijanur10266@gmail.com

Or WhatsApp 24/7: +8801780942798 or wa.me/8801780942798





Course Content:

1st day:

 Introduction to GEE

 How to use GEE JavaScript and Python API

 Learn the basic principles of JavaScript syntax and python

 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





2nd day:

 Filtering and Displaying Satellite Images: Landsat , Sentinel

 Satellite Composite

 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 the 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

 Extract water body using Thresholding

 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

 How to calculated Average , Maximum, Minimum NDVI any specific region

 GEE: How to make monthly Evapotranspiration



5th day:

 Air Quality Monitoring: all prameters

 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-5p

 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 GEE

 Class-wise LULC change detection in ONE layer using GEE

 Hyper parameter Tuning for improving the accuracy of your machine learning model



🔗 Stay Connected

🔹 Telegram Group: t.me/gisandremotesenginglearningGEE

🔹 YouTube Channel: youtube.com/@gisrsinstitute

🔹 Instagram: www.instagram.com/geospatial_analysis_learning/

🔹 Twitter: x.com/GISRSStudyHacks

🔹 Facebook Page: www.facebook.com/gisrsinstitute/



#SpatialResolution #RemoteSensing #RemoteSensingTutorial #Geospatial #EarthObservation #SatelliteImagery #DataAnalysis #GIS #GeographicInformationSystems #EnvironmentalMonitoring #AerialSurveying #ImageProcessing #RemoteSensingTech #GeospatialAnalysis #Mapping #Cartography #DataVisualization #BigData #MachineLearning #ArtificialIntelligence #Sustainability #ClimateChange #UrbanPlanning #NaturalResources #RemoteSensingApplications #RemoteSensingScience #EarthScience #RemoteSensingEducation #SpatialData #GeospatialTechnology

1 week ago | [YT] | 26

Study Hacks-Institute of GIS & Remote Sensing

📢 Registration is now open for the 35th Batch of 7-day comprehensive online live training on Google Earth Engine (GEE) for Remote Sensing and GIS Analysis using JavaScript and Python APIs, tailored for beginners to advanced learners. Designed specifically for non-coders, this course empowers you with advanced geospatial skills—no prior programming knowledge is required! 📡🛰️

These classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We primarily focus on individuals who are unfamiliar with programming languages and the Earth Engine function. We cover LULC mapping, Change detection Analysis, Air quality Monitoring, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, and more.

📅 Class Start: 14th November 2025
⏳ Admission Deadline: 13th November 2025
🎉 Special Offer: First 10 registrants get 50% off – Book your seat now!

Class Schedule:
Duration: 7 days (Fridays & Saturdays in a week)
Time: 9:00 PM – 1:00 AM (GMT +6)
Language: English

Online Training Benefits
Ø * Course Certificate (After submitting all Assignments)
Ø * Materials (Slide, PDF)
Ø * Practice Code (All codes provide)
Ø * Recorded Class (All classes recorded video provided)
Ø * Lifetime teaching support


🚀 What Will You Be Able to Do After Completing the Training?
1) Perform advanced remote sensing analysis using Landsat, Sentinel, and MODIS datasets.
2) Build NDVI, NDWI, SAVI, and other vegetation index time series and perform change detection.
3) Monitor floods, air pollution, LST, evapotranspiration, and more with Google Earth Engine.
4) Create and export custom maps, charts, and geospatial reports for academic and real-world projects.
5) Apply Machine Learning algorithms (Random Forest, SVM, CART) for LULC classification and accuracy assessment.
6) Combine GEE outputs with GIS software (like ArcMap) for creating publishable research maps.
7) Download and visualize air quality data, LULC changes, and NDVI trends in CSV, KML, and other formats.
8 ) Confidently conduct end-to-end geospatial research and project work—even with zero prior coding experience!

For more information about registration, visit our website: www.studyhacksgeospatial.com/google-earth-engine/

For Registration, Contact this Email: rmijanur10266@gmail.com
Or WhatsApp 24/7: +8801780942798 or wa.me/8801780942798


Course Content:
1st day:
 Introduction to GEE
 How to use GEE JavaScript and Python API
 Learn the basic principles of JavaScript syntax and python
 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


2nd day:
 Filtering and Displaying Satellite Images: Landsat , Sentinel
 Satellite Composite
 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 the 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
 Extract water body using Thresholding
 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
 How to calculated Average , Maximum, Minimum NDVI any specific region
 GEE: How to make monthly Evapotranspiration

5th day:
 Air Quality Monitoring: all prameters
 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-5p
 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 GEE
 Class-wise LULC change detection in ONE layer using GEE
 Hyper parameter Tuning for improving the accuracy of your machine learning model

🔗 Stay Connected
🔹 Telegram Group: t.me/gisandremotesenginglearningGEE
🔹 YouTube Channel: youtube.com/@gisrsinstitute
🔹 Instagram: www.instagram.com/geospatial_analysis_learning/
🔹 Twitter: x.com/GISRSStudyHacks
🔹 Facebook Page: www.facebook.com/gisrsinstitute/

#GoogleEarthEngine #RemoteSensing #GIS #GeospatialAnalysis #OnlineTraining #DataScience #MachineLearning #Python #JavaScript #LULCMapping #ChangeDetection #AirQualityMonitoring #TimeSeriesAnalysis #NDVI #SupervisedClassification #UnsupervisedClassification #GeospatialSkills #NonCoders #TrainingForBeginners #EarthObservation #environmentalmonitoring #dataanalysis #remotesensingtraining #geetraining #geospatialtechnology #LearnToCode #TechForGood #Sustainability #climatechange #ProfessionalDevelopment

1 week ago | [YT] | 12

Study Hacks-Institute of GIS & Remote Sensing

Tutorial about NDVI Trend Analysis with Trendline in Google Earth Engine.
Tutorial Link: youtube.com/live/e7oxDDuixIM?si=0fxGPLvs7GqWiyro

📢 Registration is now open for the 35th Batch of 7-day comprehensive online live training on Google Earth Engine (GEE) for Remote Sensing and GIS Analysis using JavaScript and Python APIs, tailored for beginners to advanced learners. Designed specifically for non-coders, this course empowers you with advanced geospatial skills—no prior programming knowledge is required! 📡🛰️

These classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We primarily focus on individuals who are unfamiliar with programming languages and the Earth Engine function. We cover LULC mapping, Change detection Analysis, Air quality Monitoring, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, and more.

📅 Class Start: 14th November 2025
⏳ Admission Deadline: 13th November 2025
🎉 Special Offer: First 10 registrants get 50% off – Book your seat now!

Class Schedule:
Duration: 7 days (Fridays & Saturdays in a week)
Time: 9:00 PM – 1:00 AM (GMT +6)
Language: English

Online Training Benefits
Ø * Course Certificate (After submitting all Assignments)
Ø * Materials (Slide, PDF)
Ø * Practice Code (All codes provide)
Ø * Recorded Class (All classes recorded video provided)
Ø * Lifetime teaching support

For more information about registration, visit our website: www.studyhacksgeospatial.com/google-earth-engine/

For Registration, Contact this Email: rmijanur10266@gmail.com
Or WhatsApp 24/7: +8801780942798 or wa.me/8801780942798



#NDVI #TrendAnalysis #GoogleEarthEngine #RemoteSensing #EarthObservation #GeospatialAnalysis #DataScience #EnvironmentalMonitoring #SustainableAgriculture #ClimateChange #SatelliteImagery #GIS #DataVisualization #MachineLearning #BigData #AgriculturalResearch #LandUseChange #VegetationIndex #EcoMonitoring #SpatialAnalysis #DataDriven #ResearchInnovation #OpenSourceGIS #EnvironmentalScience #ClimateResilience #NaturalResources #RemoteSensingApplications #GeographicInformationSystems #DataAnalytics #EarthScience #Sustainability

1 week ago | [YT] | 8

Study Hacks-Institute of GIS & Remote Sensing

Tutorial about InSAR—Satellite-based technique
Tutorial Link: https://youtu.be/CfFCa7g9S0c

📢 Registration is now open for the 35th Batch of 7-day comprehensive online live training on Google Earth Engine (GEE) for Remote Sensing and GIS Analysis using JavaScript and Python APIs, tailored for beginners to advanced learners. Designed specifically for non-coders, this course empowers you with advanced geospatial skills—no prior programming knowledge is required! 📡🛰️



These classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We primarily focus on individuals who are unfamiliar with programming languages and the Earth Engine function. We cover LULC mapping, Change detection Analysis, Air quality Monitoring, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, and more.



📅 Class Start: 14th November 2025

⏳ Admission Deadline: 13th November 2025

🎉 Special Offer: First 10 registrants get 50% off – Book your seat now!



Class Schedule:

Duration: 7 days (Fridays & Saturdays in a week)

Time: 9:00 PM – 1:00 AM (GMT +6)

Language: English



Online Training Benefits

Ø * Course Certificate (After submitting all Assignments)

Ø * Materials (Slide, PDF)

Ø * Practice Code (All codes provide)

Ø * Recorded Class (All classes recorded video provided)

Ø * Lifetime teaching support



For more information about registration, visit our website: www.studyhacksgeospatial.com/google-earth-engine/

For Registration, Contact this Email: rmijanur10266@gmail.com
Or WhatsApp 24/7: +8801780942798 or wa.me/8801780942798



#InSAR #SatelliteTechnology #RemoteSensing #GeospatialAnalysis #EarthObservation #SatelliteImagery #DataScience #Geodesy #EnvironmentalMonitoring #GeographicInformationSystems #SpatialData #RadarInterferometry #LandDeformation #NaturalDisasters #ClimateChange #UrbanPlanning #InfrastructureMonitoring #Mapping #ScientificResearch #Engineering #Geophysics #DataVisualization #MachineLearning #BigData #Innovation #Sustainability #EarthScience #RemoteSensingApplications #Tutorial #ProfessionalDevelopment #LinkedInLearning

1 week ago | [YT] | 7