LST, Urban Heat Island Effect, and UTFVI Analysis using Google Earth Engine and Landsat dataset
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- Опубликовано: 5 окт 2024
- In this tutorial, we will explore the powerful capabilities of the Google Earth Engine for evaluating Land Surface Temperature (LST), analyzing the Urban Heat Island (UHI) effect, and calculating the Urban Thermal Field Variance Index(UTFVI) using the Landsat dataset.
UHI has emerged as a greater threat in recent years, affecting the resident's health. Additionally, UHI leads to higher energy demands for cooling, increased heat-related health risks for urban populations, and environmental impacts on local ecosystems. Understanding and mitigating this phenomenon is crucial for creating sustainable, resilient, and livable cities. Therefore through this workshop, I aim to simplify the process of evaluating the high-stress UHI regions, for effective heat stress mitigation 🏙️🌡️
Links for the resources mentioned in the video:
🔗 Website: waleedgeo.com/
🔗 LinkedIn: / waleedgeo
🔗 GitHub: github.com/wal...
🔗 Publications: waleedgeo.com/...
Code Links for this tutorial:
🔗 LST UHI and UTFVI Project Page: waleedgeo.com/...
🔗 JavaScript Code used in the workshop: github.com/wal...
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Tags:
#googleearthengine #GEE #earthengine #remotesensing #geospatial #landsurfacetemperature #LST #urbanheatisland #UHI #urbanthermalfieldvarianceindex #UTFVI #urbanclimate #heatwaves #spatialanalysis #tutorial #landsat #opencourseware #opensource
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thank you very much sir
great👍, i did this on ENVI couple of years ago, but in GEE loading raster data is not a pain
Thank you for this tutorial. Please keep them coming
Very educative video, thank you so much.
Thank you for this tutorial and script
Thanks for your tutorial Brother ❣️
For calculating Lst, which image should need to pick: TOA or surface reflectance?
MashaAllah good work .
Great ! Tahnks you for tutorial
Great tutorial brother. Loved it. Miles to go… 🎉
Thankyou so much for this tutorial, it's helpme so much
super bhaiya
Thank you very much for this video, and all the additional data you have provided!! I have a question that has been hunting me lately and maybe you could help me out. Isnt the ST_B10 band in the LANDSAT/LC08/C02/T1_L2 collection already a LST product?
Yes. Then you must follow these steps: ST Kelvin = (ST band × Scale) + Offset ST Celsius = ST Kelvin − 273... The Scale and Offset values to transform the pixel value from DN to Kelvin are 0.00341802 and 149, respectively.
Thank you!! amazing video!
Great thanx
Man you make a calculation 1.438^-2, it is wrong(?), correcting: is 1.438*10^-2 = 1.438/100
He used log insead of ln ! I m bit confused
Hi great work , can you also derive Urban Heat Island Effect, and UTFVI from MODIS11A1 LST???
Keep up the good work
best thanks
Really amazing ❤
Hi, do you recommend any publications or sources explaining why NDVI is added to the analysis of surface temperature? Thank you
Hi, we add NDVI as it accounts for the vegetation fraction for that area, though you can exclude it. For details check following sources:
1) doi.org/10.1111/j.1745-5871.2010.00686.x
2) www.mdpi.com/2071-1050/15/2/1416
3) link.springer.com/chapter/10.1007/978-981-99-3675-5_4
4) doi.org/10.3390/rs12091471
@@mwaleedgeo Hi, thank you so much for taking the time to answer me! I have read the linked sources. Your publications and blog have been a great help for me and the project I'm working on :)
Hi, Great Video. Thank you for this one. I have a query. What does UHI -4 to +4 mean? Is it temperature difference from mean to actual? How did you select the range? What does a UHI value of 2 at a pixel tell me?
Hi, thank you for the feedback.
+-4 is the range in this case (might be different for different areas). Yes through standard deviation, we evaluate the variation in between urban and nearby non urban regions characterized by high temperature difference.
UHI itself has no scale and is not necessarily dependent on the temperature, but we can say that 2 UHI means the pixel temperature is 2 degree C higher then average temperature (please cross check this from literature).
@@mwaleedgeo Thank you for your reply.
I have a question, since ST_B10 band is already surface temperature (in Kelvin) for the Landsat 8 Product (specifically, "LANDSAT/LC08/C02/T1_L2") is computing for fractional vegetation and emissivity considered redundant?
Why would we still need to (re)compute land surface temperature with FV and EM?
Do we need to mask out the waterbodies, as the LST of water bodies is very less and thus UHI is coming weird..
Ist of all Thank you so much for this beautiful explaination,
but i have a query regarding cloud and cloud shadow bit mask is it 5,3 or 3,4 as in properties plz help me out and correct me here?
Congrats for the video. Do you know If The Landsat 8 Collection 2 Tier 1 TOA Reflectance works with this script, but without the scaling factors? or Is it necessary include other parameter settings?
also for some areas LST is not generating for selected months, showing "ComputedObject (Error)
Image.select: Pattern 'ST_B6' did not match any bands." message. since temporal resolution of landsat is 16 days, so why are these images not available?
Hello, I was very inspired after watching your video. Can you share the code?😃
Hi , i am using this code in my study area for Durban , KZN, South Africa , however for certain regions of my study area there is no lst thus uhi . Please can someone help me understand why.
il faut laisser aussi un modèle de script dans les commentaires pour que nous puissions l'utiliser
which algthirm you used do analisis
how to get the timestamp/ date information for the image that we use?
Please, land cover/supervised classification tutorial
28:19 The standard deviation of the lst seems very low no?
how can i export the images to qgis plse help me
Do you have the same video with landsat5
Hi!
How to compute night light?
Check this dataset
developers.google.com/earth-engine/datasets/catalog/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS
what parameters do we have to change if we want to use landsat 5 series? I changed the band numbers for red and NIR as SR_B3 and SR_B4 respectively..and thermal band as ST_B6. are there any other modifications we have to do? and Thank you for this amazing video, this is just what I needed!
also check for cloud bit mask parameters
@@dilarabusradurmus5011 I think they are same for landsat 5 and 8. please correct me if I'm wrong
I'd like to know abou it as well
Hello, when I use the code you provided, the calculated image will have some patches that are empty (it shows masked in inspector), what is the reason for this?Thank you
I think pixels having cloud cover are getting masked.
@@abhinavupadhyay3669 Thank you
Ap say contact kaisy ho skta hai?
The exact same thing is happening to me , and it is not the mask , because the ndvi is fine and so is the true image . It is just the thermal bands. Did you figure out what the issue is and please help me if you did . Karishtab@gmail.com