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LST, Urban Heat Island Effect, and UTFVI Analysis using Google Earth Engine and Landsat dataset 

Mirza Waleed
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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...
If you found this tutorial helpful, please subscribe to my channel for more geospatial analysis tutorials and tips. Don't forget to hit the bell icon to get notified about our future uploads. You can also follow us on (i.e. LinkedIn) for updates and additional content.
Tags:
#googleearthengine #GEE #earthengine #remotesensing #geospatial #landsurfacetemperature #LST #urbanheatisland #UHI #urbanthermalfieldvarianceindex #UTFVI #urbanclimate #heatwaves #spatialanalysis #tutorial #landsat #opencourseware #opensource

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28 авг 2024

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Комментарии : 56   
@esubalewnebebe1344
@esubalewnebebe1344 Месяц назад
Very educative video, thank you so much.
@bindaslife1837
@bindaslife1837 3 месяца назад
Thanks for your tutorial Brother ❣️ For calculating Lst, which image should need to pick: TOA or surface reflectance?
@ikomangputraastika4632
@ikomangputraastika4632 Месяц назад
Thank you for this tutorial and script
@REAPER7777
@REAPER7777 11 месяцев назад
Thank you for this tutorial. Please keep them coming
@angelografie9893
@angelografie9893 Месяц назад
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?
@DiscoverShubham
@DiscoverShubham Месяц назад
Do we need to mask out the waterbodies, as the LST of water bodies is very less and thus UHI is coming weird..
@Zizi-mt9bv
@Zizi-mt9bv Месяц назад
thank you very much sir
@giulianabeltramone8383
@giulianabeltramone8383 5 месяцев назад
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?
@lucasraiol7401
@lucasraiol7401 5 месяцев назад
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.
@sitihajaraswad1792
@sitihajaraswad1792 7 месяцев назад
Thankyou so much for this tutorial, it's helpme so much
@lanlanhia
@lanlanhia Месяц назад
Hello, I was very inspired after watching your video. Can you share the code?😃
@adeniyiadeyemi6413
@adeniyiadeyemi6413 27 дней назад
Hi great work , can you also derive Urban Heat Island Effect, and UTFVI from MODIS11A1 LST???
@Didistar96
@Didistar96 4 месяца назад
Thank you!! amazing video!
@karishtabasidawu
@karishtabasidawu Месяц назад
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.
@user-lk3fj9ng4g
@user-lk3fj9ng4g 11 месяцев назад
Great ! Tahnks you for tutorial
@mazharagri7869
@mazharagri7869 11 месяцев назад
MashaAllah good work .
@lifehacker4331
@lifehacker4331 Месяц назад
super bhaiya
@MuddasirShah
@MuddasirShah 11 месяцев назад
Great tutorial brother. Loved it. Miles to go… 🎉
@Bllackstaarr
@Bllackstaarr 8 месяцев назад
Hi, do you recommend any publications or sources explaining why NDVI is added to the analysis of surface temperature? Thank you
@mwaleedgeo
@mwaleedgeo 8 месяцев назад
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
@Bllackstaarr
@Bllackstaarr 8 месяцев назад
@@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 :)
@TarannumKhandoker
@TarannumKhandoker 11 месяцев назад
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?
@mwaleedgeo
@mwaleedgeo 11 месяцев назад
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).
@TarannumKhandoker
@TarannumKhandoker 11 месяцев назад
@@mwaleedgeo Thank you for your reply.
@butthussain5881
@butthussain5881 4 месяца назад
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?
@lucasraiol7401
@lucasraiol7401 5 месяцев назад
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?
@abhinavupadhyay3669
@abhinavupadhyay3669 7 месяцев назад
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?
@-ALeAnhKhoa
@-ALeAnhKhoa 2 месяца назад
how can i export the images to qgis plse help me
@mazharagri7869
@mazharagri7869 11 месяцев назад
Keep up the good work
@MarcosArangoTamayo
@MarcosArangoTamayo 4 месяца назад
Man you make a calculation 1.438^-2, it is wrong(?), correcting: is 1.438*10^-2 = 1.438/100
@nasreensultana1363
@nasreensultana1363 3 месяца назад
He used log insead of ln ! I m bit confused
@daeng_geospasial
@daeng_geospasial 11 месяцев назад
Great thanx
@md.mahadihasanseyam1235
@md.mahadihasanseyam1235 10 месяцев назад
Really amazing ❤
@manjesht494
@manjesht494 3 месяца назад
which algthirm you used do analisis
@primamuliateguh
@primamuliateguh 4 месяца назад
how to get the timestamp/ date information for the image that we use?
@raniaamandafauzi7999
@raniaamandafauzi7999 7 месяцев назад
Please, land cover/supervised classification tutorial
@coopernik
@coopernik 7 месяцев назад
28:19 The standard deviation of the lst seems very low no?
@guyliyongo9860
@guyliyongo9860 4 месяца назад
il faut laisser aussi un modèle de script dans les commentaires pour que nous puissions l'utiliser
@rebeccachandiru5865
@rebeccachandiru5865 5 месяцев назад
Do you have the same video with landsat5
@geologistdinesh
@geologistdinesh 10 месяцев назад
best thanks
@smurfk7678
@smurfk7678 11 месяцев назад
Hi! How to compute night light?
@mwaleedgeo
@mwaleedgeo 11 месяцев назад
Check this dataset developers.google.com/earth-engine/datasets/catalog/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS
@jpjx9493
@jpjx9493 8 месяцев назад
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
@abhinavupadhyay3669
@abhinavupadhyay3669 7 месяцев назад
I think pixels having cloud cover are getting masked.
@jpjx9493
@jpjx9493 7 месяцев назад
@@abhinavupadhyay3669 Thank you
@mariamjutt8958
@mariamjutt8958 5 месяцев назад
Ap say contact kaisy ho skta hai?
@karishtabasidawu
@karishtabasidawu Месяц назад
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
@abhinavupadhyay3669
@abhinavupadhyay3669 8 месяцев назад
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!
@dilarabusradurmus5011
@dilarabusradurmus5011 6 месяцев назад
also check for cloud bit mask parameters
@abhinavupadhyay3669
@abhinavupadhyay3669 6 месяцев назад
@@dilarabusradurmus5011 I think they are same for landsat 5 and 8. please correct me if I'm wrong
@lucasraiol7401
@lucasraiol7401 5 месяцев назад
I'd like to know abou it as well
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