jupyter-notebooks/Geotiff.ipynb

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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# First: read the geotiff image with GDAL.\n",
    "from osgeo import gdal, osr\n",
    "\n",
    "gdal.UseExceptions()\n",
    "\n",
    "\n",
    "fname = '/notebooks/resources/T22KHG_20190425T132241_TCI_smaller.tif'\n",
    "\n",
    "ds = gdal.Open(fname)\n",
    "data = ds.ReadAsArray()\n",
    "gt = ds.GetGeoTransform()\n",
    "proj = ds.GetProjection()\n",
    "\n",
    "inproj = osr.SpatialReference()\n",
    "inproj.ImportFromWkt(proj)\n",
    "\n",
    "print('\\n\\n## ds ##:\\n\\n' + str(ds))\n",
    "print('\\n\\n## data ##:\\n\\n' + str(data))\n",
    "print('\\n\\n## gt ##:\\n\\n' + str(gt))\n",
    "print('\\n\\n## proj ##:\\n\\n' + str(proj))\n",
    "print('\\n\\n## inproj ##:\\n\\n' + str(inproj))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# Second: convert the WKT projection information to a cartopy projection.\n",
    "import cartopy.crs as ccrs\n",
    "\n",
    "projcs = inproj.GetAuthorityCode('PROJCS')\n",
    "print('\\n\\n## projcs ##:\\n\\n' + str(projcs))\n",
    "\n",
    "projection = ccrs.epsg(projcs)\n",
    "print('\\n\\n## projection ##:\\n\\n' + str(projection))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Third (and last): the figure.\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "subplot_kw = dict(projection=projection)\n",
    "fig, ax = plt.subplots(figsize=(9, 9), subplot_kw=subplot_kw)\n",
    "\n",
    "extent = (gt[0], gt[0] + ds.RasterXSize * gt[1],\n",
    "          gt[3] + ds.RasterYSize * gt[5], gt[3])\n",
    "\n",
    "img = ax.imshow(data[:3, :, :].transpose((1, 2, 0)), extent=extent, origin='upper')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import inspect\n",
    "\n",
    "for i in inspect.getmembers(ds):\n",
    "    # Ignores anything starting with underscore \n",
    "    # (that is, private and protected attributes)\n",
    "    if not i[0].startswith('_'):\n",
    "        # Ignores methods\n",
    "        if not inspect.ismethod(i[1]):\n",
    "            print(i)\n",
    "print('\\n')\n",
    "# dir(ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # First: read the geotiff image with GDAL.\n",
    "# from osgeo import gdal, osr\n",
    "\n",
    "# gdal.UseExceptions()\n",
    "\n",
    "\n",
    "# fname = 'T22KHG_20190425T132241_TCI_smaller.tif'\n",
    "\n",
    "# ds = gdal.Open(fname)\n",
    "# data = ds.ReadAsArray()\n",
    "# gt = ds.GetGeoTransform()\n",
    "# proj = ds.GetProjection()\n",
    "\n",
    "# inproj = osr.SpatialReference()\n",
    "# inproj.ImportFromWkt(proj)\n",
    "\n",
    "# print(inproj)\n",
    "\n",
    "# # Second: convert the WKT projection information to a cartopy projection.\n",
    "# import cartopy.crs as ccrs\n",
    "\n",
    "\n",
    "\n",
    "# projcs = inproj.GetAuthorityCode('PROJCS')\n",
    "# print(projcs)\n",
    "# projection = ccrs.epsg(projcs)\n",
    "# print(projection)\n",
    "\n",
    "# # Third (and last): the figure.\n",
    "# import matplotlib.pyplot as plt\n",
    "# %matplotlib inline\n",
    "\n",
    "# subplot_kw = dict(projection=projection)\n",
    "# fig, ax = plt.subplots(figsize=(9, 9), subplot_kw=subplot_kw)\n",
    "\n",
    "# extent = (gt[0], gt[0] + ds.RasterXSize * gt[1],\n",
    "#           gt[3] + ds.RasterYSize * gt[5], gt[3])\n",
    "\n",
    "# img = ax.imshow(data[:3, :, :].transpose((1, 2, 0)), extent=extent, origin='upper')"
   ]
  }
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