KML_to_SHP.ipynb

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    "import geopandas as gpd\n",
    "from pykml import parser\n",
    "from shapely.geometry import Point, LineString, Polygon\n",
    "from shapely.ops import unary_union\n",
    "\n",
    "def parse_kml_coordinates(coordinates_text, geom_type):\n",
    "    coords = coordinates_text.strip().split()\n",
    "    parsed_coords = [tuple(map(float, coord.split(','))) for coord in coords]\n",
    "    \n",
    "    if geom_type == 'Point':\n",
    "        return Point(parsed_coords[0])\n",
    "    elif geom_type == 'LineString':\n",
    "        return LineString(parsed_coords)\n",
    "    elif geom_type == 'Polygon':\n",
    "        return Polygon(parsed_coords)\n",
    "\n",
    "# Load the KML file\n",
    "kml_file = r\"C:\\Users\\91956\\Desktop\\Auroville Consulting\\SHUBAM\\India_TN_Greenfield_FABDEM\\India_TN_Greenfield_FABDEM\\kmls\\15GWh_18h_summary_0.kml\"\n",
    "\n",
    "with open(kml_file) as f:\n",
    "    root = parser.parse(f).getroot()\n",
    "\n",
    "# Extract Points, Lines, and Polygons with attributes\n",
    "data_points = []\n",
    "data_lines = []\n",
    "data_polygons = []\n",
    "\n",
    "for placemark in root.Document.findall('.//{http://www.opengis.net/kml/2.2}Placemark'):\n",
    "    name = placemark.find('.//{http://www.opengis.net/kml/2.2}name')\n",
    "    name = name.text if name is not None else None\n",
    "    \n",
    "    for point in placemark.findall('.//{http://www.opengis.net/kml/2.2}Point'):\n",
    "        coordinates_text = point.coordinates.text\n",
    "        geometry = parse_kml_coordinates(coordinates_text, 'Point')\n",
    "        data_points.append({'name': name, 'geometry': geometry})\n",
    "        \n",
    "    for linestring in placemark.findall('.//{http://www.opengis.net/kml/2.2}LineString'):\n",
    "        coordinates_text = linestring.coordinates.text\n",
    "        geometry = parse_kml_coordinates(coordinates_text, 'LineString')\n",
    "        data_lines.append({'name': name, 'geometry': geometry})\n",
    "        \n",
    "    for polygon in placemark.findall('.//{http://www.opengis.net/kml/2.2}Polygon'):\n",
    "        coordinates_text = polygon.outerBoundaryIs.LinearRing.coordinates.text\n",
    "        geometry = parse_kml_coordinates(coordinates_text, 'Polygon')\n",
    "        data_polygons.append({'name': name, 'geometry': geometry})\n",
    "\n",
    "# Convert to GeoDataFrames\n",
    "gdf_points = gpd.GeoDataFrame(data_points)\n",
    "gdf_lines = gpd.GeoDataFrame(data_lines)\n",
    "gdf_polygons = gpd.GeoDataFrame(data_polygons)\n",
    "\n",
    "# Load the reference vector file\n",
    "reference_file = r\"C:\\Users\\91956\\Desktop\\Auroville Consulting\\SHUBAM\\shp_district\\shp_district\\shp_district.shp\"\n",
    "reference_gdf = gpd.read_file(reference_file)\n",
    "\n",
    "# Set a buffer distance (in the same units as your coordinate system, e.g., meters)\n",
    "buffer_distance = 1000\n",
    "\n",
    "# Create a unified geometry from all reference geometries\n",
    "reference_union = unary_union(reference_gdf.geometry)\n",
    "\n",
    "# Buffer the reference geometries\n",
    "buffered_reference = reference_union.buffer(buffer_distance)\n",
    "\n",
    "# Clip and filter the geometries\n",
    "clipped_points = gdf_points[gdf_points.intersects(buffered_reference)]\n",
    "clipped_lines = gdf_lines[gdf_lines.intersects(buffered_reference)]\n",
    "clipped_polygons = gdf_polygons[gdf_polygons.intersects(buffered_reference)]\n",
    "\n",
    "# Save to Shapefiles\n",
    "clipped_points.to_file(r\"C:\\Users\\91956\\Desktop\\Auroville Consulting\\SHUBAM\\dams\\dams3p_clipped.shp\")\n",
    "clipped_lines.to_file(r\"C:\\Users\\91956\\Desktop\\Auroville Consulting\\SHUBAM\\dams\\damsl_clipped.shp\")\n",
    "clipped_polygons.to_file(r\"C:\\Users\\91956\\Desktop\\Auroville Consulting\\SHUBAM\\dams\\dapol_clipped.shp\")\n"
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