examples/notebooks/100_numpy_to_cog.ipynb

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  {
   "cell_type": "markdown",
   "id": "0",
   "metadata": {},
   "source": [
    "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/gee-community/geemap/blob/master/examples/notebooks/100_numpy_to_cog.ipynb)\n",
    "\n",
    "Create a fresh conda env to run this example if needed.\n",
    "\n",
    "```\n",
    "conda create -n cog python=3.9\n",
    "conda install mamba -c conda-forge\n",
    "mamba install geemap rio-cogeo -c conda-forge\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install geemap rio-cogeo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import geemap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3",
   "metadata": {},
   "outputs": [],
   "source": [
    "url = \"https://github.com/giswqs/leafmap/raw/master/examples/data/cog.tif\"\n",
    "in_cog = \"cog.tif\"\n",
    "out_cog = \"ndvi.tif\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4",
   "metadata": {},
   "source": [
    "Download a sample dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5",
   "metadata": {},
   "outputs": [],
   "source": [
    "geemap.download_from_url(url, in_cog)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6",
   "metadata": {},
   "source": [
    "Convert image to numpy array."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr = geemap.image_to_numpy(in_cog)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9",
   "metadata": {},
   "source": [
    "Computer NDVI."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10",
   "metadata": {},
   "outputs": [],
   "source": [
    "ndvi = (arr[3] - arr[0]) / (arr[3] + arr[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11",
   "metadata": {},
   "outputs": [],
   "source": [
    "ndvi.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12",
   "metadata": {},
   "source": [
    "Convert numpy array to COG."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "13",
   "metadata": {},
   "outputs": [],
   "source": [
    "geemap.numpy_to_cog(ndvi, out_cog, profile=in_cog)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "14",
   "metadata": {},
   "outputs": [],
   "source": [
    "m = geemap.Map()\n",
    "m.add_raster(in_cog, indexes=[4, 1, 2], layer_name=\"Color infrared\")\n",
    "m.add_raster(out_cog, colormap=\"Greens\", layer_name=\"NDVI\")\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15",
   "metadata": {},
   "source": [
    "![](https://i.imgur.com/OVaTyP3.gif)"
   ]
  }
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