Land surface temperature (LST) monitoring using Landsat imagery in Google Earth Engine

Registration is open for a new batch of 7 days of Complete Google Earth Engine for Remote Sensing & GIS Analysis online training for Beginners to Advanced levels.
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. We cover LULC mapping, Air quality, Monitoring, Time series analysis, Calculating any Indices, Supervised Classification, Machine Learning Methods, and more.
Class Start: 13th October 2023
Admission Last Date: 11th October 2023 ( 1st 10 registered people get 50% discount)
Total Class: 7 days (Friday and Saturday in Week)
Class Duration: 3 hours (Each day), Time: 9:00 P.M to 12:00 A.M (GMT +6)
For registration contact this WhatsApp number: [phone] or Email: [e-mail]
Course Content:
1. GEE: Introduction
2. JavaScript programming language A to Z
3. GEE Server language A to Z
4. Filtering and Displaying Rater & Vector data
5. Importing Raster and Vector Data in GEE
6. Calculating with Images: Raster Calculations
7. Calculating NDVI, NDWI, EVI , & all indices.
8. Introduction to Image Classification in GEE
9. Landover & Land use classification Map using Machine learning
10. Crop land classification using Machine Learning
11. Exporting Raster and Vector Data from GEE
12. How to make research paper map using GEE & ArcMap software.
13.How to make a time-series chart for NDVI, NDWI, and other Indices?
14. Spectral indices and develop the skills for calculating any index (NDVI, NDWI, NDSI, MNDWI, MSAVI)
15. How to remove CLOUD Mask from satellite Images
16. How to monitor surface water rainy and Dry time periods
17. Visualization (DEM) of Hill shade , Aspect and Slope Map
18. How to make an NDVI chart over a period of time of a Agricultural Land
19. Air Quality Monitoring: atmospheric concentrations of ozone, methane, formaldehyde,
aerosol, carbon monoxide, nitrogen oxide, and sulfur dioxide
20. How to Download Air Quality parameters Time series data in CSV format using GEE
21. How to make LULC accuracy assessment using Google Earth Engine. (Kappa, Producers & Consumers accuracy)
22. Monitoring Land Surface temperature using Landsat and MODIS || Make Time series chart of LST
23. How to Calculate Average, Maximum & Minimum pixel values using GEE
24. How to calculate the Classified Area using GEE
25. How to make a single class Map such as Urban maps, Water body maps,s, etc.
26. How to ADD A LEGEND, Title in GEE
Online Training Benefits:
* Course Certificate (After submitting all Assignments)
* Materials (Slide, PDF)
* Practice Code (All codes provide)
* Recorded Class (All class recorded video provided)
* Lifetime teaching support
Join Our Community:
Join the Telegram group: t.me/gisandremotesenginglearn...

[@judyesther1221]

This is very useful, Can you please provide the script code

[@lydiatampouratzi462]

Is the code accessible somewhere please? Great video!

[@mateuvaldes7926]

Why in line 6 (minute 40:00) do you use the median to calculate the NDVI? Wouldn't the average be more accurate? Thank you

[@gisrsinstitute]

Median provides the all middle pixels values and creates this composite that's why it's better

[@unknown_content_creater]

I wrote a similar script in my code editor, but I am getting the wrong values. min -243, max -242. Can you explain why i am getting these values?

[@gisrsinstitute]

Reprojected the scale value

[@pratikmore7391]

Can i use this code for landsat 7, 8 collection 2 level 2 tier 2 dataset

[@gisrsinstitute]

Yes

[@dilarabusradurmus5011]

but be careful for qa_pixel bits, it change at collection 2