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@kvos kvos commented Sep 2, 2024

Thanks for developing this nice toolbox for running SEBAL in GEE, it is very useful for remote sensing applications.

Collection 1 is now retired in GEE so the toolbox does not work anymore. The changes between Landsat Collection 1 and Collection 2 are documented in this GEE page https://developers.google.com/earth-engine/landsat_c1_to_c2 as well as in the USGS documentation.

Azeem Khan and myself from the Remote Sensing team at the NSW Department of Climate Change, Energy, Environment and Water edited the toolbox to work with Collection 2 and tested it to make sure it was producing the same results.

The following changes were applied :

  • point to Landsat Collection 2 in GEE collections
  • update metadata fields with the new fields (LANDSAT_PRODUCT_ID, SPACECRAFT_ID, SUN_ELEVATION)
  • update the band numbers to match the new organisation of the bands
  • apply the new scaling factors for optical and thermal bands (and remove old scaling by 10000 and 10)
  • update cloud masking based on new QA bits in Collection 2

We computed Evaporative Fraction (EF) using the existing Collection 1 toolbox and the new Collection 2 toolbox for an area in Australia and found negligible differences (of the order of 1-2%).
comparison_Collection1_Collection2_EF

We hope this pull request helps users continue using the toolbox with Landsat Collection 2.
Kilian Vos and Azeem Khan

Collection 1 is now retired in GEE so the toolbox does not work anymore. We adapted it to work with Collection 2, which involves the following changes (https://developers.google.com/earth-engine/landsat_c1_to_c2):
- point to Collection 2 products
- change scaling factors for optical and thermal bands
@youyouLM
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I want to know "var i_q_med in era5 = ee. ImageCollection (' projects/et - brasil/assets/ERA5 / hourly / 1030 / specific_humidity '), select (' specific_humidity) "should be input in what kind of A file? Can you give me an example?

@youyouLM
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youyouLM commented Jan 8, 2025

Hello, I have a question to consult you: when going to the cloud processing, how to consider. Does the direct mask or linear interpolation fill the value of the cloud region?

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2 participants