ee_landsat_8_mean_composite

ee_landsat_8_mean_composite.ipynb

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        "<a href=\"https://colab.research.google.com/gist/jdbcode/794875b4fb7f28bf5ec6eee5e917e0c9/ee_landsat_8_mean_composite.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "lIYdn1woOS1n"
      },
      "outputs": [],
      "source": [
        "import ee\n",
        "import geemap\n",
        "geemap.ee_initialize()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def prepare_sr(image):\n",
        "  qa_mask = image.select('QA_PIXEL').bitwiseAnd(int('11111', 2)).eq(0)\n",
        "  optical_bands = image.select('SR_B.').multiply(0.0000275).add(-0.2)\n",
        "  return image.select().addBands(optical_bands).updateMask(qa_mask)\n",
        "\n",
        "composite = ee.ImageCollection('LANDSAT/LC08/C02/T1_L2').filterDate(\n",
        "    '2020-06-01', '2021-10-01').map(prepare_sr).mean()\n",
        "\n",
        "m = geemap.Map()\n",
        "m.set_center(-122.3645, 37.7978, 12)\n",
        "m.add_layer(composite, {'bands': ['SR_B4', 'SR_B3', 'SR_B2'], 'min': 0, 'max': 0.3})\n",
        "m"
      ],
      "metadata": {
        "id": "PSThvVd7VYKU"
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      "execution_count": null,
      "outputs": []
    }
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      "name": "ee_landsat_8_mean_composite.ipynb",
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