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Home Page: https://www.mdpi.com/2072-4292/12/9/1471
Land Surface Temperature from Landsat on Google Earth Engine
Home Page: https://www.mdpi.com/2072-4292/12/9/1471
Hi sofia, are you planning to include landsat 9 as well in the near future?
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Dear Ms. Ermida,
thank you for your great LST algorithm - very helpful!
I am wondering what is the best method to interpolate LST values for cloudy pixels.
In your example_1.js
, you select the first image from the collection with var exImage = LandsatColl.first();
. The resulting image only includes unmasked pixels, i.e., non-cloudy observations.
I would like to interpolate the values of cloudy pixels in a given image, based on the observed dynamics across the entire image collection. Ideally, I would like to interpolate the full time series for each pixel.
Do you know of an algorithm (ideally ready-to-use), that imputes missing values in a given image based on the variation observed in the entire date range?
Thanks in advance!
Hi Sofia,
Just to warn that the code was updated on 11/07/2022 on the GEE directory using Collection 2 data but this GitHub repo hasn't been updated yet.
The new code can be accessed in https://earthengine.googlesource.com/users/sofiaermida/landsat_smw_lst
Thank you!
Regards,
Leonardo
Thank you very much for your sharing. As a novice, i have a question about why did part of the "NaN" appear after the temperature inversion after calling your code for my own research area.
Maybe there is some parameter I need to modify?
Study area: Hangzhou City, Zhejiang Province, China, 118°21′E-120°30′E,29°11′N-30°33′N
Thank you so much creating this. I am trying to use landsat 7 with l7 with your script.This is not giving lst properly
TIR BT: Layer error: Image.select: Pattern 'B10' did not match any bands.
Image.select: Pattern 'B10' did not match any bands.
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