{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c165ac4d",
   "metadata": {},
   "source": [
    "# Processing geocoded data\n",
    "\n",
    "In this notebook, we demonstrate the H/A/Alpha decomposition on a geocoded dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "99920dfb",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import os\n",
    "\n",
    "from pathlib import Path\n",
    "from polsarpro.io import open_netcdf_beam\n",
    "from polsarpro.decompositions import h_a_alpha\n",
    "# optional import for progress bar\n",
    "from dask.diagnostics import ProgressBar\n",
    "\n",
    "# change to your data paths\n",
    "# original dataset\n",
    "input_alos_geo = Path(\"/data/psp/test_files/SAN_FRANCISCO_ALOS1_geocoded_T3_7_look_az.nc\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6f10073",
   "metadata": {},
   "source": [
    "## Open the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "14bc0335",
   "metadata": {},
   "outputs": [],
   "source": [
    "T3 = open_netcdf_beam(input_alos_geo)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fea64661",
   "metadata": {},
   "source": [
    "## Apply the decomposition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cb995ca2",
   "metadata": {},
   "outputs": [],
   "source": [
    "with ProgressBar():\n",
    "    res = h_a_alpha(T3, boxcar_size=[3 ,3])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1136116",
   "metadata": {},
   "source": [
    "## Display an output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4f91a5d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "res.entropy.plot.imshow()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f9ee44e",
   "metadata": {},
   "source": [
    "## Export an output as a GeoTIFF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "744ba4d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import rioxarray as riox\n",
    "res.entropy.rio.to_raster(\"/data/psp/entropy_geo.tif\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6c8891d",
   "metadata": {},
   "source": [
    "The resulting file may be opened in a GIS software."
   ]
  }
 ],
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