3 Discussion.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "94b13303",
   "metadata": {},
   "source": [
    "This is just to illustrate some nice ways of visualizing and inspecting the data within jupyter. Importantly, we note that `relative_orbit_number` changes along a track at the equator, so not great to use that to track/group bursts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "52b62bbb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:01.934995Z",
     "start_time": "2022-11-14T18:53:01.011625Z"
    }
   },
   "outputs": [],
   "source": [
    "import sqlite3\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from tqdm import tqdm\n",
    "import pandas as pd\n",
    "from shapely.geometry import MultiPolygon, Polygon"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5320206",
   "metadata": {},
   "source": [
    "# Read Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "35fa7a94",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:25.923324Z",
     "start_time": "2022-11-14T18:53:01.937025Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1 µs, sys: 1e+03 ns, total: 2 µs\n",
      "Wall time: 2.86 µs\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "\n",
    "# SQL must wrap the geometry in hex(st_asbinary(...))\n",
    "sql = \"SELECT * FROM burst_id_map;\"\n",
    "con = sqlite3.connect(\"S1_burstid_20220530/IW/sqlite/burst_map_IW_000001_375887.sqlite3\")\n",
    "\n",
    "df = gpd.GeoDataFrame.from_postgis(sql, con, geom_col=\"GEOMETRY\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "888c64b8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:25.938956Z",
     "start_time": "2022-11-14T18:53:25.924798Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OGC_FID</th>\n",
       "      <th>GEOMETRY</th>\n",
       "      <th>burst_id</th>\n",
       "      <th>subswath_name</th>\n",
       "      <th>relative_orbit_number</th>\n",
       "      <th>time_from_anx_sec</th>\n",
       "      <th>orbit_pass</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>MULTIPOLYGON Z (((3.36758 0.75322 0.00000, 3.7...</td>\n",
       "      <td>1</td>\n",
       "      <td>IW1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.301015</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>MULTIPOLYGON Z (((4.09178 0.97402 0.00000, 4.5...</td>\n",
       "      <td>1</td>\n",
       "      <td>IW2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.133218</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>MULTIPOLYGON Z (((4.85545 1.19200 0.00000, 5.2...</td>\n",
       "      <td>1</td>\n",
       "      <td>IW3</td>\n",
       "      <td>1</td>\n",
       "      <td>4.211255</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>MULTIPOLYGON Z (((3.33269 0.92005 0.00000, 3.7...</td>\n",
       "      <td>2</td>\n",
       "      <td>IW1</td>\n",
       "      <td>1</td>\n",
       "      <td>5.059288</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>MULTIPOLYGON Z (((4.05690 1.14071 0.00000, 4.4...</td>\n",
       "      <td>2</td>\n",
       "      <td>IW2</td>\n",
       "      <td>1</td>\n",
       "      <td>5.891491</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   OGC_FID                                           GEOMETRY  burst_id  \\\n",
       "0        1  MULTIPOLYGON Z (((3.36758 0.75322 0.00000, 3.7...         1   \n",
       "1        2  MULTIPOLYGON Z (((4.09178 0.97402 0.00000, 4.5...         1   \n",
       "2        3  MULTIPOLYGON Z (((4.85545 1.19200 0.00000, 5.2...         1   \n",
       "3        4  MULTIPOLYGON Z (((3.33269 0.92005 0.00000, 3.7...         2   \n",
       "4        5  MULTIPOLYGON Z (((4.05690 1.14071 0.00000, 4.4...         2   \n",
       "\n",
       "  subswath_name  relative_orbit_number  time_from_anx_sec orbit_pass  \n",
       "0           IW1                      1           2.301015  ASCENDING  \n",
       "1           IW2                      1           3.133218  ASCENDING  \n",
       "2           IW3                      1           4.211255  ASCENDING  \n",
       "3           IW1                      1           5.059288  ASCENDING  \n",
       "4           IW2                      1           5.891491  ASCENDING  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05cac030",
   "metadata": {},
   "source": [
    "# Sample Plots\n",
    "\n",
    "We can plot an entire orbit/track (these two words are used interchangeably from my limited experience."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "17d2368b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:27.095674Z",
     "start_time": "2022-11-14T18:53:25.941175Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.relative_orbit_number == 1].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d3d0889d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:27.192915Z",
     "start_time": "2022-11-14T18:53:27.097296Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.burst_id == 375886].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "efa597c5",
   "metadata": {},
   "source": [
    "Let's plot a bunch of bursts at the end of the dataframe and look at the overlap."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "73b1cc56",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:27.305481Z",
     "start_time": "2022-11-14T18:53:27.194802Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.burst_id >= 375880].boundary.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76e917da",
   "metadata": {},
   "source": [
    "Note how the burst ids collected by 3 also have the subswaths `IW1` to `IW3`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2b569e03",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:27.318120Z",
     "start_time": "2022-11-14T18:53:27.306698Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OGC_FID</th>\n",
       "      <th>GEOMETRY</th>\n",
       "      <th>burst_id</th>\n",
       "      <th>subswath_name</th>\n",
       "      <th>relative_orbit_number</th>\n",
       "      <th>time_from_anx_sec</th>\n",
       "      <th>orbit_pass</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1127637</th>\n",
       "      <td>1127638</td>\n",
       "      <td>MULTIPOLYGON Z (((3.66004 -0.63618 0.00000, 4....</td>\n",
       "      <td>375880</td>\n",
       "      <td>IW1</td>\n",
       "      <td>175</td>\n",
       "      <td>5903.750322</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1127638</th>\n",
       "      <td>1127639</td>\n",
       "      <td>MULTIPOLYGON Z (((4.38445 -0.41412 0.00000, 4....</td>\n",
       "      <td>375880</td>\n",
       "      <td>IW2</td>\n",
       "      <td>175</td>\n",
       "      <td>5904.582525</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1127639</th>\n",
       "      <td>1127640</td>\n",
       "      <td>MULTIPOLYGON Z (((5.14802 -0.19461 0.00000, 5....</td>\n",
       "      <td>375880</td>\n",
       "      <td>IW3</td>\n",
       "      <td>175</td>\n",
       "      <td>5905.660562</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1127640</th>\n",
       "      <td>1127641</td>\n",
       "      <td>MULTIPOLYGON Z (((3.62496 -0.46936 0.00000, 4....</td>\n",
       "      <td>375881</td>\n",
       "      <td>IW1</td>\n",
       "      <td>175</td>\n",
       "      <td>5906.508595</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1127641</th>\n",
       "      <td>1127642</td>\n",
       "      <td>MULTIPOLYGON Z (((4.34932 -0.24745 0.00000, 4....</td>\n",
       "      <td>375881</td>\n",
       "      <td>IW2</td>\n",
       "      <td>175</td>\n",
       "      <td>5907.340798</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         OGC_FID                                           GEOMETRY  burst_id  \\\n",
       "1127637  1127638  MULTIPOLYGON Z (((3.66004 -0.63618 0.00000, 4....    375880   \n",
       "1127638  1127639  MULTIPOLYGON Z (((4.38445 -0.41412 0.00000, 4....    375880   \n",
       "1127639  1127640  MULTIPOLYGON Z (((5.14802 -0.19461 0.00000, 5....    375880   \n",
       "1127640  1127641  MULTIPOLYGON Z (((3.62496 -0.46936 0.00000, 4....    375881   \n",
       "1127641  1127642  MULTIPOLYGON Z (((4.34932 -0.24745 0.00000, 4....    375881   \n",
       "\n",
       "        subswath_name  relative_orbit_number  time_from_anx_sec orbit_pass  \n",
       "1127637           IW1                    175        5903.750322  ASCENDING  \n",
       "1127638           IW2                    175        5904.582525  ASCENDING  \n",
       "1127639           IW3                    175        5905.660562  ASCENDING  \n",
       "1127640           IW1                    175        5906.508595  ASCENDING  \n",
       "1127641           IW2                    175        5907.340798  ASCENDING  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.burst_id >= 375880].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d297af53",
   "metadata": {},
   "source": [
    "We can single out an individual burst within a sub-swath via the `OGC_FID`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "215f620a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:27.425221Z",
     "start_time": "2022-11-14T18:53:27.319662Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.OGC_FID == 1127644].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "56641bdf",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:27.521094Z",
     "start_time": "2022-11-14T18:53:27.426759Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.OGC_FID >= 1127657].boundary.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6551a522",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:27.755851Z",
     "start_time": "2022-11-14T18:53:27.524425Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.OGC_FID <= 2_000].boundary.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc6e69fa",
   "metadata": {},
   "source": [
    "The bursts get substantially warped at high latitudes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8ebde46e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:28.491386Z",
     "start_time": "2022-11-14T18:53:27.757341Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.OGC_FID <= 10_000].boundary.cx[-50:-45, :].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e9a2f3b8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:28.867120Z",
     "start_time": "2022-11-14T18:53:28.493098Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OGC_FID</th>\n",
       "      <th>GEOMETRY</th>\n",
       "      <th>burst_id</th>\n",
       "      <th>subswath_name</th>\n",
       "      <th>relative_orbit_number</th>\n",
       "      <th>time_from_anx_sec</th>\n",
       "      <th>orbit_pass</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1500</th>\n",
       "      <td>1501</td>\n",
       "      <td>MULTIPOLYGON Z (((-44.69493 82.33880 0.00000, ...</td>\n",
       "      <td>501</td>\n",
       "      <td>IW1</td>\n",
       "      <td>1</td>\n",
       "      <td>1381.437489</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1503</th>\n",
       "      <td>1504</td>\n",
       "      <td>MULTIPOLYGON Z (((-45.51545 82.46574 0.00000, ...</td>\n",
       "      <td>502</td>\n",
       "      <td>IW1</td>\n",
       "      <td>1</td>\n",
       "      <td>1384.195762</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1506</th>\n",
       "      <td>1507</td>\n",
       "      <td>MULTIPOLYGON Z (((-46.36318 82.59116 0.00000, ...</td>\n",
       "      <td>503</td>\n",
       "      <td>IW1</td>\n",
       "      <td>1</td>\n",
       "      <td>1386.954035</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1509</th>\n",
       "      <td>1510</td>\n",
       "      <td>MULTIPOLYGON Z (((-47.23917 82.71499 0.00000, ...</td>\n",
       "      <td>504</td>\n",
       "      <td>IW1</td>\n",
       "      <td>1</td>\n",
       "      <td>1389.712308</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1512</th>\n",
       "      <td>1513</td>\n",
       "      <td>MULTIPOLYGON Z (((-48.13909 82.83777 0.00000, ...</td>\n",
       "      <td>505</td>\n",
       "      <td>IW1</td>\n",
       "      <td>1</td>\n",
       "      <td>1392.470581</td>\n",
       "      <td>ASCENDING</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      OGC_FID                                           GEOMETRY  burst_id  \\\n",
       "1500     1501  MULTIPOLYGON Z (((-44.69493 82.33880 0.00000, ...       501   \n",
       "1503     1504  MULTIPOLYGON Z (((-45.51545 82.46574 0.00000, ...       502   \n",
       "1506     1507  MULTIPOLYGON Z (((-46.36318 82.59116 0.00000, ...       503   \n",
       "1509     1510  MULTIPOLYGON Z (((-47.23917 82.71499 0.00000, ...       504   \n",
       "1512     1513  MULTIPOLYGON Z (((-48.13909 82.83777 0.00000, ...       505   \n",
       "\n",
       "     subswath_name  relative_orbit_number  time_from_anx_sec orbit_pass  \n",
       "1500           IW1                      1        1381.437489  ASCENDING  \n",
       "1503           IW1                      1        1384.195762  ASCENDING  \n",
       "1506           IW1                      1        1386.954035  ASCENDING  \n",
       "1509           IW1                      1        1389.712308  ASCENDING  \n",
       "1512           IW1                      1        1392.470581  ASCENDING  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.OGC_FID <= 10_000].cx[-50:-45, :].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "22cdf3d6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:28.967984Z",
     "start_time": "2022-11-14T18:53:28.868765Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.burst_id == 501].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b8890b93",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:29.064054Z",
     "start_time": "2022-11-14T18:53:28.969646Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.burst_id == 503].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0cc712f4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:29.458759Z",
     "start_time": "2022-11-14T18:53:29.066016Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df[df.relative_orbit_number == 2].dissolve().geometry[0].geoms)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c50b445e",
   "metadata": {},
   "source": [
    "# Should we traverse relative orbits?\n",
    "\n",
    "Answer: no. Why? Because of those issues at the equator noted above.\n",
    "\n",
    "We will take a closer look at where these track/orbit discontinuities occur."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "069ea7b5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:30.666253Z",
     "start_time": "2022-11-14T18:53:29.460426Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.18 s, sys: 16.3 ms, total: 1.2 s\n",
      "Wall time: 1.2 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "df_temp = df[[ 'relative_orbit_number', 'GEOMETRY']]\n",
    "df_temp = df_temp[df_temp.relative_orbit_number.isin([1, 2,3])]\n",
    "df_dis = df_temp.dissolve(by='relative_orbit_number').reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f5925cf0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:30.751422Z",
     "start_time": "2022-11-14T18:53:30.668052Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>relative_orbit_number</th>\n",
       "      <th>GEOMETRY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>MULTIPOLYGON Z (((-180.00000 62.07952 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>MULTIPOLYGON Z (((-65.84127 81.72139 0.00000, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>MULTIPOLYGON Z (((-76.86516 77.51464 0.00000, ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   relative_orbit_number                                           GEOMETRY\n",
       "0                      1  MULTIPOLYGON Z (((-180.00000 62.07952 0.00000,...\n",
       "1                      2  MULTIPOLYGON Z (((-65.84127 81.72139 0.00000, ...\n",
       "2                      3  MULTIPOLYGON Z (((-76.86516 77.51464 0.00000, ..."
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "33670901",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:30.874876Z",
     "start_time": "2022-11-14T18:53:30.752994Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_dis_p = df_dis.copy()\n",
    "df_dis_p['relative_orbit_number_s'] = df_dis['relative_orbit_number'].map(str)\n",
    "df_dis_p.plot(column='relative_orbit_number_s', legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ac4f7815",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:30.994907Z",
     "start_time": "2022-11-14T18:53:30.876433Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-5.0, 5.0)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "\n",
    "df_dis_p.plot(column='relative_orbit_number_s', legend=True, ax=ax)\n",
    "ax.set_xlim(-47,-43)\n",
    "ax.set_ylim(-5, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "66d928e4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:31.225434Z",
     "start_time": "2022-11-14T18:53:30.996548Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-5.0, 5.0)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "\n",
    "df[df['relative_orbit_number'].isin([1, 2, 3])].cx[-48:-43, -5:5].plot(column='burst_id', legend=True, ax=ax)\n",
    "ax.set_xlim(-47,-43)\n",
    "ax.set_ylim(-5, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7ad2fead",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:31.345787Z",
     "start_time": "2022-11-14T18:53:31.227059Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-5.0, 5.0)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "\n",
    "df_dis_p.plot(column='relative_orbit_number_s', legend=True, ax=ax)\n",
    "ax.set_xlim(-47,-43)\n",
    "ax.set_ylim(-5, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0d4c3d73",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:34.202721Z",
     "start_time": "2022-11-14T18:53:31.347295Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-5.0, 5.0)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "s = np.s_[-45:-43,-5: 5]\n",
    "df.cx[s].plot(column='relative_orbit_number', alpha=.3, ax= ax)\n",
    "df_dis_p.cx[s].plot(ax=ax)\n",
    "\n",
    "ax.set_xlim(-47,-43)\n",
    "ax.set_ylim(-5, 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6b944e7",
   "metadata": {},
   "source": [
    "# Dateline Issues\n",
    "\n",
    "They are disconnected polygons across the polygon that are joined. It may be beneficial to join these."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "1c29f772",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:34.207364Z",
     "start_time": "2022-11-14T18:53:34.204966Z"
    }
   },
   "outputs": [],
   "source": [
    "buffer = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ef8a8a5c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:53:35.166304Z",
     "start_time": "2022-11-14T18:53:34.209301Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1127661, 0)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ind = df.GEOMETRY.map(lambda geo: geo.geom_type == 'Polygon')\n",
    "ind.size, ind.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "30e8898d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:54:15.182412Z",
     "start_time": "2022-11-14T18:53:35.167874Z"
    }
   },
   "outputs": [],
   "source": [
    "df_dateline = df.cx[:-180 + buffer,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "c8c249da",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:54:18.772460Z",
     "start_time": "2022-11-14T18:54:15.183862Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_dateline.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d380633",
   "metadata": {},
   "source": [
    "How we can fix it. Basically explode along the dateline. Might not be the most elegant, but gets the job done."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f509eb71",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:54:50.918745Z",
     "start_time": "2022-11-14T18:54:18.774297Z"
    }
   },
   "outputs": [],
   "source": [
    "df_dateline_l = df_dateline.copy()\n",
    "df_dateline_r = df_dateline.copy()\n",
    "\n",
    "geo_l = df_dateline.translate(xoff=-360).buffer(1e-7)\n",
    "df_dateline_l.geometry = df_dateline.geometry.union(geo_l)\n",
    "df_dateline_l_f = df_dateline_l.dissolve(by='OGC_FID', aggfunc='first').explode(index_parts=False)\n",
    "df_dateline_l_f = df_dateline_l_f.cx[-180- 80:-180 + buffer, :].reset_index(drop=False)\n",
    "\n",
    "geo_r = df_dateline.translate(xoff=360).buffer(1e-7)\n",
    "df_dateline_r.geometry = df_dateline.geometry.union(geo_r)\n",
    "df_dateline_r_f = df_dateline_r.dissolve(by='OGC_FID', aggfunc='first').explode(index_parts=False)\n",
    "df_dateline_r_f = df_dateline_r_f.cx[180 - buffer: 180 + 80, :].reset_index(drop=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "1abbf78d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:54:50.935124Z",
     "start_time": "2022-11-14T18:54:50.924406Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OGC_FID</th>\n",
       "      <th>burst_id</th>\n",
       "      <th>subswath_name</th>\n",
       "      <th>relative_orbit_number</th>\n",
       "      <th>time_from_anx_sec</th>\n",
       "      <th>orbit_pass</th>\n",
       "      <th>GEOMETRY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1818</td>\n",
       "      <td>606</td>\n",
       "      <td>IW3</td>\n",
       "      <td>1</td>\n",
       "      <td>1672.966389</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>POLYGON Z ((188.265 77.815 0.000, 188.265 77.8...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1821</td>\n",
       "      <td>607</td>\n",
       "      <td>IW3</td>\n",
       "      <td>1</td>\n",
       "      <td>1675.724662</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>POLYGON Z ((188.034 77.657 0.000, 188.034 77.6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1824</td>\n",
       "      <td>608</td>\n",
       "      <td>IW3</td>\n",
       "      <td>1</td>\n",
       "      <td>1678.482935</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>POLYGON Z ((187.813 77.497 0.000, 187.813 77.4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1827</td>\n",
       "      <td>609</td>\n",
       "      <td>IW3</td>\n",
       "      <td>1</td>\n",
       "      <td>1681.241208</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>POLYGON Z ((187.592 77.338 0.000, 187.592 77.3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1830</td>\n",
       "      <td>610</td>\n",
       "      <td>IW3</td>\n",
       "      <td>1</td>\n",
       "      <td>1683.999481</td>\n",
       "      <td>DESCENDING</td>\n",
       "      <td>POLYGON Z ((187.376 77.179 0.000, 187.376 77.1...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   OGC_FID  burst_id subswath_name  relative_orbit_number  time_from_anx_sec  \\\n",
       "0     1818       606           IW3                      1        1672.966389   \n",
       "1     1821       607           IW3                      1        1675.724662   \n",
       "2     1824       608           IW3                      1        1678.482935   \n",
       "3     1827       609           IW3                      1        1681.241208   \n",
       "4     1830       610           IW3                      1        1683.999481   \n",
       "\n",
       "   orbit_pass                                           GEOMETRY  \n",
       "0  DESCENDING  POLYGON Z ((188.265 77.815 0.000, 188.265 77.8...  \n",
       "1  DESCENDING  POLYGON Z ((188.034 77.657 0.000, 188.034 77.6...  \n",
       "2  DESCENDING  POLYGON Z ((187.813 77.497 0.000, 187.813 77.4...  \n",
       "3  DESCENDING  POLYGON Z ((187.592 77.338 0.000, 187.592 77.3...  \n",
       "4  DESCENDING  POLYGON Z ((187.376 77.179 0.000, 187.376 77.1...  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dateline_r_f.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "aa55caa0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:54:54.084243Z",
     "start_time": "2022-11-14T18:54:50.936668Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_dateline_r_f.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "00325109",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:54:56.998153Z",
     "start_time": "2022-11-14T18:54:54.086036Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_dateline_l_f.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "bf8be9c2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:54:57.003725Z",
     "start_time": "2022-11-14T18:54:56.999918Z"
    }
   },
   "outputs": [],
   "source": [
    "OGC_FIDs_l = df_dateline_l_f.OGC_FID.tolist()\n",
    "OGC_FIDs_r = df_dateline_r_f.OGC_FID.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "507bc0f7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "57bac342",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-11-14T18:55:20.788475Z",
     "start_time": "2022-11-14T18:54:57.005336Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OGC_FID</th>\n",
       "      <th>burst_id</th>\n",
       "      <th>subswath_name</th>\n",
       "      <th>relative_orbit_number</th>\n",
       "      <th>time_from_anx_sec</th>\n",
       "      <th>orbit_pass</th>\n",
       "      <th>GEOMETRY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>IW1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.301015</td>\n",
       "      <td>ASCENDING</td>\n",
       "      <td>POLYGON Z ((3.36758 0.75322 0.00000, 3.76300 0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>IW2</td>\n",
       "      <td>1</td>\n",
       "      <td>3.133218</td>\n",
       "      <td>ASCENDING</td>\n",
       "      <td>POLYGON Z ((4.09178 0.97402 0.00000, 4.50253 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>IW3</td>\n",
       "      <td>1</td>\n",
       "      <td>4.211255</td>\n",
       "      <td>ASCENDING</td>\n",
       "      <td>POLYGON Z ((4.85545 1.19200 0.00000, 5.21485 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>IW1</td>\n",
       "      <td>1</td>\n",
       "      <td>5.059288</td>\n",
       "      <td>ASCENDING</td>\n",
       "      <td>POLYGON Z ((3.33269 0.92005 0.00000, 3.72810 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>IW2</td>\n",
       "      <td>1</td>\n",
       "      <td>5.891491</td>\n",
       "      <td>ASCENDING</td>\n",
       "      <td>POLYGON Z ((4.05690 1.14071 0.00000, 4.46767 1...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   OGC_FID  burst_id subswath_name  relative_orbit_number  time_from_anx_sec  \\\n",
       "0        1         1           IW1                      1           2.301015   \n",
       "1        2         1           IW2                      1           3.133218   \n",
       "2        3         1           IW3                      1           4.211255   \n",
       "3        4         2           IW1                      1           5.059288   \n",
       "4        5         2           IW2                      1           5.891491   \n",
       "\n",
       "  orbit_pass                                           GEOMETRY  \n",
       "0  ASCENDING  POLYGON Z ((3.36758 0.75322 0.00000, 3.76300 0...  \n",
       "1  ASCENDING  POLYGON Z ((4.09178 0.97402 0.00000, 4.50253 1...  \n",
       "2  ASCENDING  POLYGON Z ((4.85545 1.19200 0.00000, 5.21485 1...  \n",
       "3  ASCENDING  POLYGON Z ((3.33269 0.92005 0.00000, 3.72810 1...  \n",
       "4  ASCENDING  POLYGON Z ((4.05690 1.14071 0.00000, 4.46767 1...  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_fixed = df[~df.OGC_FID.isin(OGC_FIDs_l + OGC_FIDs_r)].explode(index_parts=False)\n",
    "df_fixed = pd.concat([df_fixed, df_dateline_r_f, df_dateline_l_f], axis=0)\n",
    "df_fixed.head()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "s1-frame-enumerator",
   "language": "python",
   "name": "s1-frame-enumerator"
  },
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