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More precise: "filter" --> "mask"
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Justin Braaten
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If you check the histogram you'll see that the data are in the proper range. Likely there are a couple of erroneous pixels that are stretching the range. The dataset includes the 'ST_QA' band which you could use to filtermask out pixels that have high uncertainty.

print(ui.Chart.image.histogram(lst, geometry, 30))

enter image description here

If you check the histogram you'll see that the data are in the proper range. Likely there are a couple of erroneous pixels that are stretching the range. The dataset includes the 'ST_QA' band which you could use to filter out pixels that have high uncertainty.

print(ui.Chart.image.histogram(lst, geometry, 30))

enter image description here

If you check the histogram you'll see that the data are in the proper range. Likely there are a couple of erroneous pixels that are stretching the range. The dataset includes the 'ST_QA' band which you could use to mask out pixels that have high uncertainty.

print(ui.Chart.image.histogram(lst, geometry, 30))

enter image description here

Source Link
Justin Braaten
  • 6.2k
  • 1
  • 21
  • 42

If you check the histogram you'll see that the data are in the proper range. Likely there are a couple of erroneous pixels that are stretching the range. The dataset includes the 'ST_QA' band which you could use to filter out pixels that have high uncertainty.

print(ui.Chart.image.histogram(lst, geometry, 30))

enter image description here