Thank you for the tutorials. They are extremely helpful. I wanted to ask a question regarding calculation of UHI and UTFVI values using LANDSAT. While calculating the mean UHI for a city, I got a very small value (9.2 * e-12) and negative UTFVI value and that was because of some of the points having LST values lower that the mean LST. So, if i want to calculate the intensity of UHI in the city, should i omit the negative UHI values to get the mean UHI? thank you
Thank u so so much! So clear video.. one query i have is that how long does it take to export the final image? Mine is running from past half an hour? Is thr any way to reduce ths time?? Again thank u so much
How to extract its data as csv file in such way can distinguish the role of UHI on air temperature in each cordinatir Also my plot doesnt have good quality Is there any soloution?!
Sir how to extract the name of the shapefile for the selected region? Like if i, selecting Paris the name paris automatically for export or layer name. Please include this in mext tutorial if possible
@@amirhosseinahrarigee برای soil texture باید از متد .eq() استفاده کنم ،تفاوتش مثلا (phخاک) این هست که برای هر ۶عمق یه dictionary یا class Table به نام Value = [1:12] , Color=[red,blue, black...] Description =[CL,SO,LO, ...] تعریف کنم .من فقط تونستم روی نقشه خروجی بگیرم نتونستم خروجی عددی برای هر عمق بگیرم . امیدوارم موفق پیروز باشید 🙏
Wow.. that simplification pf shapefile is so helpful... Thank you so much sir
Thank you for the tutorials. They are extremely helpful. I wanted to ask a question regarding calculation of UHI and UTFVI values using LANDSAT. While calculating the mean UHI for a city, I got a very small value (9.2 * e-12) and negative UTFVI value and that was because of some of the points having LST values lower that the mean LST. So, if i want to calculate the intensity of UHI in the city, should i omit the negative UHI values to get the mean UHI? thank you
Hi, you can add a constant to remove negative values.
While exporting image file. I have getting numbers of small tiles of zero value... Why so? I did same process as ur.
please share your code link, using get link button in code editor. then I can check it out
Thank u so so much! So clear video.. one query i have is that how long does it take to export the final image? Mine is running from past half an hour? Is thr any way to reduce ths time?? Again thank u so much
typically not too long unless for very areas and small scale value. please share the code link using get link button in google earth engine.
Very nice learning sir.. ❤
thanks for the feedback.
How to extract its data as csv file in such way can distinguish the role of UHI on air temperature in each cordinatir
Also my plot doesnt have good quality
Is there any soloution?!
In case you need temperature monitoring over urban area, ui.chart.image.series must be used.
🙏🌻
welcome.
Sir how to extract the name of the shapefile for the selected region?
Like if i, selecting Paris the name paris automatically for export or layer name.
Please include this in mext tutorial if possible
Hi, check the example: code.earthengine.google.com/4a2e6b0626ef6609e44a8655d82d00ef
How to use autocomplete mode in google earth engine on Mac ?
press command and space.
thanks you very much!!!
welcome. please share the channel with your community.
Thanks 🙏
welcome. please share the channel with your community.
Hey guy, can u have me How to calculate temperature vegetation dryness index (VTCI) in Google Earth Engine? Pls help me
Hi, check this out: ua-cam.com/video/i1TkiMMK-OU/v-deo.html
Please share vedio about soil texture because no vedio in you tube about that🙏
in the previous tutorial, dealing with soil data products described: ua-cam.com/video/HIWuYZcI7rU/v-deo.html
@@amirhosseinahrarigee برای soil texture باید از متد .eq() استفاده کنم ،تفاوتش مثلا (phخاک) این هست که برای هر ۶عمق یه dictionary یا class Table به نام
Value = [1:12] ,
Color=[red,blue, black...]
Description =[CL,SO,LO, ...]
تعریف کنم .من فقط تونستم روی نقشه خروجی بگیرم نتونستم خروجی عددی برای هر عمق بگیرم .
امیدوارم موفق پیروز باشید 🙏