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Update baseline-change.ipynb (microsoft#291)
Fix some typos
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datasets/sentinel-2-l2a/baseline-change.ipynb

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"> This evolution allows avoiding the loss of information due to clamping of negative values in the predefined range `[1-32767]` occurring over dark surfaces.\n",
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"The presence of this offset in newer data makes it inappropraite to (naively) compare data from before and after the baseline change. Trying to apply a machine learning model trained on the old baseline to (unadjusted) imagery from the new baseline will yield incorrect results. And trying to train a machine learning model on old and (unadjusted) new data will likely result in much worse performance.\n",
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"The presence of this offset in newer data makes it inappropriate to (naively) compare data from before and after the baseline change. Trying to apply a machine learning model trained on the old baseline to (unadjusted) imagery from the new baseline will yield incorrect results. And trying to train a machine learning model on old and (unadjusted) new data will likely result in much worse performance.\n",
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"\n",
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"This notebook demonstrates how the change affects the Sentinel-2 L2A data hosted on the Planetary Computer and how to harmonize the new data to be comparable to the old data."
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"id": "e4b0be43-3b54-4188-b2e6-6097838eade4",
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"metadata": {},
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"source": [
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"The `harmonize_to_old` function harmonizes new (post January 25th, 2022) Sentinel 2 data to be compoarable to older data. It expects an xarray DataArray similar to those returned by `stackstac`."
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"The `harmonize_to_old` function harmonizes new (post January 25th, 2022) Sentinel 2 data to be comparable to older data. It expects an xarray DataArray similar to those returned by `stackstac`."
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"id": "ef0f882f-99e3-422a-8973-78d2ec999486",
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"If we plot the red, green, and blue bands of the two datetimes, we'll see that the \"old\" data looks relatively dark compared tot he \"new\" data."
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"If we plot the red, green, and blue bands of the two datetimes, we'll see that the \"old\" data looks relatively dark compared to the \"new\" data."
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