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I am looking at long-term mangrove forest change (1990-2020) in Indonesia using Landsat satellites. These are the years and sensors I have chosen:

2020- Landsat 8 T1 SR // 2010- Landsat 5 TM T1 TOA // 2000- Landsat 7 T1 SR // 1990- Landsat 5 T1 TOA

Since I am using TOA and SR in various years, will there will be any inconsistency in my analysis. And if yes, what can I do to make sure every image composite is of the same type?

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    Since you are looking at multiple time periods, you will need to convert everything to SR.
    – Aaron ♦
    Aug 12, 2021 at 11:41
  • @Aaron Thank you. Could you have materials to explain how to convert TOA into SR?
    – Banashree Thapa
    Aug 12, 2021 at 15:26
  • Why not use precomputed SR products? More details: developers.google.com/earth-engine/guides/…
    – Aaron ♦
    Aug 12, 2021 at 15:39
  • Yeah it took me a second, but yea I figured I could just use the SR products.
    – Banashree Thapa
    Aug 12, 2021 at 15:42
  • Thanks for helping out!
    – Banashree Thapa
    Aug 12, 2021 at 15:42

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Because you are working with time-series data, you will want to make sure all your imagery is corrected to surface reflectance (SR). Google Earth Engine makes precomputed SR Landsat products available: https://developers.google.com/earth-engine/datasets/catalog.

You should use these precomputed SR products for your analysis.

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