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guide/06-imagery-and-raster-analysis/image_classfication_and_segmentation.ipynb

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guide/06-imagery-and-raster-analysis/perform-analysis-concepts.ipynb

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guide/06-imagery-and-raster-analysis/perform-analysis-using-out-of-the-box-tools.ipynb

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guide/06-imagery-and-raster-analysis/using-raster-analysis.ipynb

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"source": [
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"### Using `save()` to create imagery product\n",
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"\n",
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"In the code below, we use `extact_bands` raster function to extract the [7, 5, 2] band combination and improve the contrast using `stretch()`. This improves visibility of fire and burn scars by pushing further into the SWIR range of the electromagnetic spectrum, as there is less susceptibility to smoke and haze generated by a burning fire.\n",
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"In the code below, we use the `extract_bands` raster function to extract the [7, 5, 2] band combination and improve the contrast using `stretch()`. This improves visibility of fire and burn scars by pushing further into the SWIR range of the electromagnetic spectrum, as there is less susceptibility to smoke and haze generated by a burning fire.\n",
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"\n",
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"The raster function is applied at source resolution and creates an information product when you `save()` the image."
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.16"
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"version": "3.10.14"
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},
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"toc": {
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"base_numbering": 1,
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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"nbformat_minor": 4
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}

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