cartoee gif

52_cartoee_gif.ipynb

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      "source": "<a href=\"https://githubtocolab.com/giswqs/geemap/blob/master/examples/notebooks/52_cartoee_gif.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\"/></a>\n\nUncomment the following line to install [geemap](https://geemap.org) and [cartopy](https://scitools.org.uk/cartopy/docs/latest/installing.html#installing) if needed. Keep in mind that cartopy can be challenging to install. If you are unable to install cartopy on your computer, you can try Google Colab with this the [notebook example](https://colab.research.google.com/github/giswqs/geemap/blob/master/examples/notebooks/cartoee_colab.ipynb). \n\nSee below the commands to install cartopy and geemap using conda/mamba:\n\n```\nconda create -n carto python=3.8\nconda activate carto\nconda install mamba -c conda-forge\nmamba install cartopy scipy -c conda-forge\nmamba install geemap -c conda-forge\njupyter notebook\n```"
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    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# How to create timelapse animations using cartoee"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "import os\nimport ee\nimport geemap\nfrom geemap import cartoee\n%pylab inline",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "# geemap.update_package()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Create an interactive map"
    },
    {
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        "trusted": true
      },
      "cell_type": "code",
      "source": "Map = geemap.Map()\nMap",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Create an ImageCollection"
    },
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      "cell_type": "code",
      "source": "lon = -74.51\nlat = -8.37\nstart_year = 1984\nend_year = 2011\n\npoint = ee.Geometry.Point(lon, lat)\nyears = ee.List.sequence(start_year, end_year)\n\ndef get_best_image(year):   \n\n    start_date = ee.Date.fromYMD(year, 1, 1)\n    end_date = ee.Date.fromYMD(year, 12, 31)\n    image = ee.ImageCollection(\"LANDSAT/LT05/C01/T1_SR\") \\\n        .filterBounds(point) \\\n        .filterDate(start_date, end_date) \\\n        .sort(\"CLOUD_COVER\") \\\n        .first()    \n    return ee.Image(image)\n\ncollection = ee.ImageCollection(years.map(get_best_image))",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Display a sample image"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "vis_params = {\n  \"bands\": ['B5', 'B4', 'B3'],\n  \"min\": 0,\n  \"max\": 5000\n}\n\nimage = ee.Image(collection.first())\nMap.addLayer(image, vis_params, 'First image')\nMap.setCenter(lon, lat, 8)\nMap",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Get a sample output image"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "w = 0.2\nh = 0.15\n\nregion = [lon-w, lat-h, lon+w, lat+h]\n\nfig = plt.figure(figsize=(10, 8))\n\n# use cartoee to get a map\nax = cartoee.get_map(image, region=region, vis_params=vis_params)\n\n# add gridlines to the map at a specified interval\ncartoee.add_gridlines(ax, interval=[0.1, 0.1], linestyle=\":\")\n\n# add north arrow\nnorth_arrow_dict = {\n    \"text\": \"N\",\n    \"xy\": (0.1, 0.3),\n    \"arrow_length\": 0.15,\n    \"text_color\": \"red\",\n    \"arrow_color\": \"white\",\n    \"fontsize\": 20,\n    \"width\": 5,\n    \"headwidth\": 15,\n    \"ha\": \"center\",\n    \"va\": \"center\"\n}\ncartoee.add_north_arrow(ax, **north_arrow_dict)\n\n# add scale bar\nscale_bar_dict = {\n    \"length\": 5, \n    \"xy\": (0.1, 0.05), \n    \"linewidth\": 3,\n    \"fontsize\": 20,\n    \"color\": \"red\",\n    \"unit\": \"km\",\n    \"ha\": \"center\",\n    \"va\": \"bottom\"    \n}\ncartoee.add_scale_bar(ax, **scale_bar_dict)\n\nax.set_title(label = 'Ucayali River, Peru', fontsize=15)\n\nshow()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Create timelapse animations"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "cartoee.get_image_collection_gif(\n    ee_ic = collection,\n    out_dir = os.path.expanduser(\"~/Downloads/timelapse\"),\n    out_gif = \"animation.gif\",\n    vis_params = vis_params,\n    region = region,\n    fps = 5,\n    mp4 = True,\n    grid_interval = (0.1, 0.1),\n    plot_title = \"Ucayali River, Peru\",\n    date_format = 'YYYY-MM-dd',\n    fig_size = (10, 8),\n    dpi_plot = 100,\n    file_format = \"png\",\n    north_arrow_dict = north_arrow_dict,\n    scale_bar_dict = scale_bar_dict,\n    verbose = True\n)",
      "execution_count": null,
      "outputs": []
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        "trusted": true
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      "execution_count": null,
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