GEE 8: Land Surface Temperature using Google Earth Engine

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Land Surface Temperature (LST) is a critical parameter for understanding the thermal state of the Earth's surface. Using data from Landsat 8 and Landsat 9 satellites, LST can be accurately estimated over various geographical areas. The thermal infrared sensor (TIRS) on these satellites captures thermal radiation emitted from the Earth's surface, which can then be processed to derive LST.

In Google Earth Engine (GEE), LST calculation involves using the thermal bands (Band 10 in Landsat 8 and Landsat 9) to first convert digital numbers to brightness temperature in Kelvin. This is further refined using vegetation indices like the Normalized Difference Vegetation Index (NDVI) to account for emissivity variations. The resulting LST data helps monitor environmental changes, urban heat islands, and land surface processes with high spatial resolution and temporal consistency.

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[KysiahPutalan]

Thank you, Sir, for the informative video. It helps me a lot with my research.

[talesofmountains]

Thank you for your Video. Since you are using Landsat 8, C2 L2 data, B10 is already a LST product, and we don't need to do the NDVI and emissivity calculations?

[PoojaSharma-hsdz]

Sir, my LST is showing very high values with L2 data. However, the Level 1 data is giving correct results. Can I calculate LST from Level 2 data ? What is the process for that ?

Moreover, Is it ok to use Level 1 Data for LST and Level 2 data to show the association of LULC with LST in the same paper? As Level 2 data is considered as good for LULC classification.

[milanjana]

Thank u sir, 🙏🏻 I need this video, and my request accept you, love u sir

[Munai-]

Sir why you have not calculated TOA BT?

[thoduosapriina]

Sir if i want to find a particular date. Should i use median or first ?

[himanshusharma]

Sir please make video on finding dumpsite for solid waste management in GEE

[skarifulhossain]

Veri nice tutorials
Can you please share the code?