Sentinel_1_WV_ocean_product.ipynb

{
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  "metadata": {
    "colab": {
      "name": "Sentinel-1 WV ocean product.ipynb",
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      "include_colab_link": true
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    "kernelspec": {
      "name": "python3",
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/Seyed-Ali-Ahmadi/Python-for-Remote-Sensing/blob/master/Sentinel_1_WV_ocean_product.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
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      "metadata": {
        "id": "2JQrS1P4Fcdi",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import os"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
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        "id": "D18VySsFI0PE",
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        }
      },
      "source": [
        "file_list = os.listdir('/content/')\n",
        "file_list"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['.config',\n",
              " 's1a-wv1-ocn-vv-20190701t205009-20190701t205012-027928-03273d-019.nc',\n",
              " 's1a-wv1-ocn-vv-20190701t204742-20190701t204745-027928-03273d-009.nc',\n",
              " 's1a-wv1-ocn-vv-20190701t204545-20190701t204548-027928-03273d-001.nc',\n",
              " 's1a-wv1-ocn-vv-20190701t204812-20190701t204815-027928-03273d-011.nc',\n",
              " 's1a-wv1-ocn-vv-20190701t204644-20190701t204647-027928-03273d-005.nc',\n",
              " 's1a-wv1-ocn-vv-20190701t204614-20190701t204617-027928-03273d-003.nc',\n",
              " 's1a-wv1-ocn-vv-20190701t204940-20190701t204943-027928-03273d-017.nc',\n",
              " 's1a-wv1-ocn-vv-20190701t204910-20190701t204913-027928-03273d-015.nc',\n",
              " 's1a-wv1-ocn-vv-20190701t204713-20190701t204716-027928-03273d-007.nc',\n",
              " 's1a-wv1-ocn-vv-20190701t204841-20190701t204844-027928-03273d-013.nc',\n",
              " 'sample_data']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
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        "colab_type": "code",
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 887
        }
      },
      "source": [
        "!pip install netcdf4\n",
        "!apt-get -qq install python-cartopy python3-cartopy"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting netcdf4\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/48/94/eacbf790ceb237bee5db9c54e7c225ff0898d6dd496166a21d7c57254eb5/netCDF4-1.5.1.2-cp36-cp36m-manylinux1_x86_64.whl (4.1MB)\n",
            "\u001b[K     |████████████████████████████████| 4.1MB 5.1MB/s \n",
            "\u001b[?25hCollecting cftime (from netcdf4)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/70/64/8ceadda42af3c1b27ee77005807e38c6d77baef28a8f9216b60577fddd71/cftime-1.0.3.4-cp36-cp36m-manylinux1_x86_64.whl (305kB)\n",
            "\u001b[K     |████████████████████████████████| 307kB 49.8MB/s \n",
            "\u001b[?25hRequirement already satisfied: numpy>=1.7 in /usr/local/lib/python3.6/dist-packages (from netcdf4) (1.16.4)\n",
            "Installing collected packages: cftime, netcdf4\n",
            "Successfully installed cftime-1.0.3.4 netcdf4-1.5.1.2\n",
            "Selecting previously unselected package python-pkg-resources.\n",
            "(Reading database ... 131183 files and directories currently installed.)\n",
            "Preparing to unpack .../0-python-pkg-resources_39.0.1-2_all.deb ...\n",
            "Unpacking python-pkg-resources (39.0.1-2) ...\n",
            "Selecting previously unselected package python-pyshp.\n",
            "Preparing to unpack .../1-python-pyshp_1.2.12+ds-1_all.deb ...\n",
            "Unpacking python-pyshp (1.2.12+ds-1) ...\n",
            "Selecting previously unselected package python-shapely.\n",
            "Preparing to unpack .../2-python-shapely_1.6.4-1_amd64.deb ...\n",
            "Unpacking python-shapely (1.6.4-1) ...\n",
            "Selecting previously unselected package python-six.\n",
            "Preparing to unpack .../3-python-six_1.11.0-2_all.deb ...\n",
            "Unpacking python-six (1.11.0-2) ...\n",
            "Selecting previously unselected package python-cartopy:amd64.\n",
            "Preparing to unpack .../4-python-cartopy_0.14.2+dfsg1-2build3_amd64.deb ...\n",
            "Unpacking python-cartopy:amd64 (0.14.2+dfsg1-2build3) ...\n",
            "Selecting previously unselected package python3-pkg-resources.\n",
            "Preparing to unpack .../5-python3-pkg-resources_39.0.1-2_all.deb ...\n",
            "Unpacking python3-pkg-resources (39.0.1-2) ...\n",
            "Selecting previously unselected package python3-pyshp.\n",
            "Preparing to unpack .../6-python3-pyshp_1.2.12+ds-1_all.deb ...\n",
            "Unpacking python3-pyshp (1.2.12+ds-1) ...\n",
            "Selecting previously unselected package python3-shapely.\n",
            "Preparing to unpack .../7-python3-shapely_1.6.4-1_amd64.deb ...\n",
            "Unpacking python3-shapely (1.6.4-1) ...\n",
            "Selecting previously unselected package python3-six.\n",
            "Preparing to unpack .../8-python3-six_1.11.0-2_all.deb ...\n",
            "Unpacking python3-six (1.11.0-2) ...\n",
            "Selecting previously unselected package python3-cartopy:amd64.\n",
            "Preparing to unpack .../9-python3-cartopy_0.14.2+dfsg1-2build3_amd64.deb ...\n",
            "Unpacking python3-cartopy:amd64 (0.14.2+dfsg1-2build3) ...\n",
            "Setting up python-shapely (1.6.4-1) ...\n",
            "Setting up python-pyshp (1.2.12+ds-1) ...\n",
            "Setting up python3-six (1.11.0-2) ...\n",
            "Setting up python3-shapely (1.6.4-1) ...\n",
            "Setting up python3-pyshp (1.2.12+ds-1) ...\n",
            "Setting up python3-pkg-resources (39.0.1-2) ...\n",
            "Setting up python-pkg-resources (39.0.1-2) ...\n",
            "Setting up python-six (1.11.0-2) ...\n",
            "Setting up python3-cartopy:amd64 (0.14.2+dfsg1-2build3) ...\n",
            "Setting up python-cartopy:amd64 (0.14.2+dfsg1-2build3) ...\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ETLRl4-ZJbfx",
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        "outputId": "a989a2b1-193f-4270-ccf5-8988b9bf3b8c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 122
        }
      },
      "source": [
        "import netCDF4 as nc\n",
        "import matplotlib.image as image\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import cartopy.crs as ccrs\n",
        "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
        "import cartopy.feature as cfeature"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/matplotlib/ticker.py:1879: UserWarning: Steps argument should be a sequence of numbers\n",
            "increasing from 1 to 10, inclusive. Behavior with\n",
            "values outside this range is undefined, and will\n",
            "raise a ValueError in future versions of mpl.\n",
            "  warnings.warn('Steps argument should be a sequence of numbers\\n'\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JV7cTfIWJeLp",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "pathname = '/content/'\n",
        "filename = file_list[5]\n",
        "data = nc.Dataset(pathname + filename)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aWRekdFyKLUZ",
        "colab_type": "code",
        "outputId": "96786cb6-200c-4365-c16f-a5595ef6c58d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        " data.variables['owiWindSpeed'].shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1, 1)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xS2CCctlMTx-",
        "colab_type": "code",
        "outputId": "0808dc7f-be29-4830-bd47-d3921eccc33a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "data.dimensions['owiRaSize'].size"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'owiRaSize'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    }
  ]
}