{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "786df2b0",
   "metadata": {},
   "source": [
    "# Tutorial: Field-of-View tools\n",
    "\n",
    "This tutorial covers a small family of helpers in `bolides.fov_utils` for working\n",
    "with the **fields of view (FOVs) of the GLM instruments aboard the GOES\n",
    "satellites** (GOES-16, -17, -18 and -19).\n",
    "\n",
    "Unlike most of `bolides`, these tools **do not require a\n",
    "[`BolideDataFrame`](tutorial_BolideDataFrame.ipynb)** — they answer questions\n",
    "about the satellites and their FOVs directly, so other code can import and call\n",
    "them without first loading any bolide data. They read only data packaged with\n",
    "`bolides`, so they also work fully offline.\n",
    "\n",
    "Three functions are covered (see the **Boundary API** reference page for full\n",
    "signatures):\n",
    "\n",
    "| function | question it answers |\n",
    "|---|---|\n",
    "| `get_satellites` | *Which GOES satellites' GLM could observe this point in space and time?* |\n",
    "| `get_obs_intervals` | *When was a given satellite operational, and in which FOV orientation?* |\n",
    "| `get_boundary` | *What is the actual FOV polygon for a given sensor/position?* |\n",
    "\n",
    "If instead you want to *filter a whole table* of detections by what a sensor\n",
    "could observe, see `BolideDataFrame.filter_observation` /\n",
    "`filter_boundary` in the\n",
    "[BolideDataFrame tutorial](tutorial_BolideDataFrame.ipynb); those methods are\n",
    "built on the same data as the tools below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c5845825",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-15T23:27:44.406713Z",
     "iopub.status.busy": "2026-06-15T23:27:44.406174Z",
     "iopub.status.idle": "2026-06-15T23:27:46.142159Z",
     "shell.execute_reply": "2026-06-15T23:27:46.141042Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from bolides import get_satellites\n",
    "from bolides.fov_utils import get_boundary, get_obs_intervals"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70a610c3",
   "metadata": {},
   "source": [
    "## `get_satellites`: which satellites can observe a point?\n",
    "\n",
    "Given a point in space (latitude, longitude) and time, `get_satellites` returns\n",
    "the GOES satellites whose GLM was both **operational** and had the point **within\n",
    "its field of view** at that time.\n",
    "\n",
    "Let's start with a single spatiotemporal point."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ae34f88b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-15T23:27:46.145186Z",
     "iopub.status.busy": "2026-06-15T23:27:46.144849Z",
     "iopub.status.idle": "2026-06-15T23:27:46.258884Z",
     "shell.execute_reply": "2026-06-15T23:27:46.258073Z"
    }
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   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\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>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>time</th>\n",
       "      <th>satellite</th>\n",
       "      <th>position</th>\n",
       "      <th>boundary</th>\n",
       "      <th>inverted</th>\n",
       "      <th>Instrument Operational</th>\n",
       "      <th>Instrument Disabled</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>27.11355</td>\n",
       "      <td>-94.086853</td>\n",
       "      <td>2024-09-11 06:24:52.608000+00:00</td>\n",
       "      <td>16</td>\n",
       "      <td>east</td>\n",
       "      <td>goes-e</td>\n",
       "      <td>False</td>\n",
       "      <td>2017-12-18 00:00:00+00:00</td>\n",
       "      <td>2025-04-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>27.11355</td>\n",
       "      <td>-94.086853</td>\n",
       "      <td>2024-09-11 06:24:52.608000+00:00</td>\n",
       "      <td>18</td>\n",
       "      <td>west</td>\n",
       "      <td>goes-w-normal</td>\n",
       "      <td>False</td>\n",
       "      <td>2023-01-04 00:00:00+00:00</td>\n",
       "      <td>Still In Operation</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   latitude  longitude                             time  satellite position  \\\n",
       "0  27.11355 -94.086853 2024-09-11 06:24:52.608000+00:00         16     east   \n",
       "1  27.11355 -94.086853 2024-09-11 06:24:52.608000+00:00         18     west   \n",
       "\n",
       "        boundary  inverted    Instrument Operational  \\\n",
       "0         goes-e     False 2017-12-18 00:00:00+00:00   \n",
       "1  goes-w-normal     False 2023-01-04 00:00:00+00:00   \n",
       "\n",
       "         Instrument Disabled  \n",
       "0  2025-04-06 00:00:00+00:00  \n",
       "1         Still In Operation  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_satellites(lat=27.11355, lon=-94.086853, time=\"2024-09-11 06:24:52.608\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3ab7979",
   "metadata": {},
   "source": [
    "By default the result is a `DataFrame` with one row per observing satellite:\n",
    "\n",
    "- `satellite` — the GOES satellite number,\n",
    "- `position` — `'east'` or `'west'` (the GOES position it occupied),\n",
    "- `boundary` — the FOV boundary name in effect (see `get_boundary` below),\n",
    "- `inverted` — whether the GLM was in its yaw-flipped orientation (only relevant\n",
    "  for GOES-17),\n",
    "- `start` / `end` — the operational window that matched.\n",
    "\n",
    "If you only need the satellite numbers, pass `numbers_only=True`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "90035e04",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-15T23:27:46.262455Z",
     "iopub.status.busy": "2026-06-15T23:27:46.262286Z",
     "iopub.status.idle": "2026-06-15T23:27:46.350968Z",
     "shell.execute_reply": "2026-06-15T23:27:46.349857Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[16, 18]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_satellites(27.11355, -94.086853, \"2024-09-11 06:24:52.608\", numbers_only=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c67c75ce",
   "metadata": {},
   "source": [
    "### Operational handoffs are handled automatically\n",
    "\n",
    "GOES satellites are retired and replaced over time:\n",
    "\n",
    "- **GOES-East**: GOES-16 → GOES-19 (April 2025)\n",
    "- **GOES-West**: GOES-17 → GOES-18 (January 2023)\n",
    "\n",
    "Because `get_satellites` checks each satellite's operational window, the *same\n",
    "point* returns different satellites depending on *when* it occurred:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "caa53c6a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-15T23:27:46.356064Z",
     "iopub.status.busy": "2026-06-15T23:27:46.355156Z",
     "iopub.status.idle": "2026-06-15T23:27:46.712550Z",
     "shell.execute_reply": "2026-06-15T23:27:46.711755Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2019-06-01 -> [16, 17]\n",
      "2022-06-01 -> [16, 17]\n",
      "2024-06-01 -> [16, 18]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2025-06-01 -> [18, 19]\n"
     ]
    }
   ],
   "source": [
    "for t in [\"2019-06-01\", \"2022-06-01\", \"2024-06-01\", \"2025-06-01\"]:\n",
    "    print(t, \"->\", get_satellites(27.11355, -94.086853, t, numbers_only=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67f0b3c6",
   "metadata": {},
   "source": [
    "### Many points at once\n",
    "\n",
    "`lat`, `lon` and `time` also accept equal-length lists/arrays. With\n",
    "`numbers_only=True` you get one list per point; otherwise the `DataFrame` gains a\n",
    "`point` column indexing back into your inputs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e1511d09",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-15T23:27:46.715796Z",
     "iopub.status.busy": "2026-06-15T23:27:46.715635Z",
     "iopub.status.idle": "2026-06-15T23:27:46.802403Z",
     "shell.execute_reply": "2026-06-15T23:27:46.801795Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[16, 18], [18, 19], []]\n"
     ]
    }
   ],
   "source": [
    "lats  = [27.11355, 27.11355, 51.0]\n",
    "lons  = [-94.086853, -94.086853, 10.0]\n",
    "times = [\"2024-06-01\", \"2025-06-01\", \"2024-06-01\"]\n",
    "\n",
    "print(get_satellites(lats, lons, times, numbers_only=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "61ebba14",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-15T23:27:46.804883Z",
     "iopub.status.busy": "2026-06-15T23:27:46.804716Z",
     "iopub.status.idle": "2026-06-15T23:27:46.984987Z",
     "shell.execute_reply": "2026-06-15T23:27:46.983826Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>point</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>time</th>\n",
       "      <th>satellite</th>\n",
       "      <th>position</th>\n",
       "      <th>boundary</th>\n",
       "      <th>inverted</th>\n",
       "      <th>Instrument Operational</th>\n",
       "      <th>Instrument Disabled</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>27.11355</td>\n",
       "      <td>-94.086853</td>\n",
       "      <td>2024-06-01 00:00:00+00:00</td>\n",
       "      <td>16</td>\n",
       "      <td>east</td>\n",
       "      <td>goes-e</td>\n",
       "      <td>False</td>\n",
       "      <td>2017-12-18 00:00:00+00:00</td>\n",
       "      <td>2025-04-06 00:00:00+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>27.11355</td>\n",
       "      <td>-94.086853</td>\n",
       "      <td>2024-06-01 00:00:00+00:00</td>\n",
       "      <td>18</td>\n",
       "      <td>west</td>\n",
       "      <td>goes-w-normal</td>\n",
       "      <td>False</td>\n",
       "      <td>2023-01-04 00:00:00+00:00</td>\n",
       "      <td>Still In Operation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>27.11355</td>\n",
       "      <td>-94.086853</td>\n",
       "      <td>2025-06-01 00:00:00+00:00</td>\n",
       "      <td>18</td>\n",
       "      <td>west</td>\n",
       "      <td>goes-w-normal</td>\n",
       "      <td>False</td>\n",
       "      <td>2023-01-04 00:00:00+00:00</td>\n",
       "      <td>Still In Operation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>27.11355</td>\n",
       "      <td>-94.086853</td>\n",
       "      <td>2025-06-01 00:00:00+00:00</td>\n",
       "      <td>19</td>\n",
       "      <td>east</td>\n",
       "      <td>goes-e</td>\n",
       "      <td>False</td>\n",
       "      <td>2025-04-07 00:00:00+00:00</td>\n",
       "      <td>Still In Operation</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   point  latitude  longitude                      time  satellite position  \\\n",
       "0      0  27.11355 -94.086853 2024-06-01 00:00:00+00:00         16     east   \n",
       "1      0  27.11355 -94.086853 2024-06-01 00:00:00+00:00         18     west   \n",
       "2      1  27.11355 -94.086853 2025-06-01 00:00:00+00:00         18     west   \n",
       "3      1  27.11355 -94.086853 2025-06-01 00:00:00+00:00         19     east   \n",
       "\n",
       "        boundary  inverted    Instrument Operational  \\\n",
       "0         goes-e     False 2017-12-18 00:00:00+00:00   \n",
       "1  goes-w-normal     False 2023-01-04 00:00:00+00:00   \n",
       "2  goes-w-normal     False 2023-01-04 00:00:00+00:00   \n",
       "3         goes-e     False 2025-04-07 00:00:00+00:00   \n",
       "\n",
       "         Instrument Disabled  \n",
       "0  2025-04-06 00:00:00+00:00  \n",
       "1         Still In Operation  \n",
       "2         Still In Operation  \n",
       "3         Still In Operation  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_satellites(lats, lons, times)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14f80bc3",
   "metadata": {},
   "source": [
    "A point outside every FOV (here, the Indian Ocean) simply returns no\n",
    "satellites — an empty list, or an empty `DataFrame`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "98663fea",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-15T23:27:46.988021Z",
     "iopub.status.busy": "2026-06-15T23:27:46.987598Z",
     "iopub.status.idle": "2026-06-15T23:27:47.190160Z",
     "shell.execute_reply": "2026-06-15T23:27:47.189067Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[]\n"
     ]
    },
    {
     "data": {
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       "\n",
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       "    }\n",
       "\n",
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       "        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>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>time</th>\n",
       "      <th>satellite</th>\n",
       "      <th>position</th>\n",
       "      <th>boundary</th>\n",
       "      <th>inverted</th>\n",
       "      <th>Instrument Operational</th>\n",
       "      <th>Instrument Disabled</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [latitude, longitude, time, satellite, position, boundary, inverted, Instrument Operational, Instrument Disabled]\n",
       "Index: []"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(get_satellites(-20.0, 80.0, \"2024-09-11\", numbers_only=True))\n",
    "get_satellites(-20.0, 80.0, \"2024-09-11\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89ca516d",
   "metadata": {},
   "source": [
    "## `get_obs_intervals`: when was a satellite operational?\n",
    "\n",
    "`get_satellites` decides observability using small packaged tables of each\n",
    "satellite's operational windows and FOV orientations. You can read those tables\n",
    "directly with `get_obs_intervals`.\n",
    "\n",
    "GOES-17 is the interesting one: it underwent biannual **yaw flips**, alternating\n",
    "between a non-inverted (`goes-w-normal`) and inverted (`goes-w-inverted`) FOV."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "95c49eb0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-15T23:27:47.192843Z",
     "iopub.status.busy": "2026-06-15T23:27:47.192412Z",
     "iopub.status.idle": "2026-06-15T23:27:47.209686Z",
     "shell.execute_reply": "2026-06-15T23:27:47.208826Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>boundary</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>Confidence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>goes-17-checkout-orbit</td>\n",
       "      <td>2018-05-08</td>\n",
       "      <td>2018-10-24</td>\n",
       "      <td>Uncertain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>goes-w-inverted</td>\n",
       "      <td>2018-11-13</td>\n",
       "      <td>2019-03-27</td>\n",
       "      <td>Uncertain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>goes-w-normal</td>\n",
       "      <td>2019-03-28</td>\n",
       "      <td>2019-09-09 21:00:00</td>\n",
       "      <td>Uncertain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>goes-w-inverted</td>\n",
       "      <td>2019-09-09 21:00:00</td>\n",
       "      <td>2020-04-06 21:45:00</td>\n",
       "      <td>Confirmed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>goes-w-normal</td>\n",
       "      <td>2020-04-06 21:45:00</td>\n",
       "      <td>2020-09-08 21:45:00</td>\n",
       "      <td>Confirmed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>goes-w-inverted</td>\n",
       "      <td>2020-09-08 21:45:00</td>\n",
       "      <td>2021-04-06 21:00:00</td>\n",
       "      <td>Confirmed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>goes-w-normal</td>\n",
       "      <td>2021-04-06 21:00:00</td>\n",
       "      <td>2021-09-07 21:00:00</td>\n",
       "      <td>Confirmed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>goes-w-inverted</td>\n",
       "      <td>2021-09-07 21:00:00</td>\n",
       "      <td>2022-04-05 21:00:00</td>\n",
       "      <td>Confirmed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>goes-w-normal</td>\n",
       "      <td>2022-04-05 21:00:00</td>\n",
       "      <td>2023-01-03</td>\n",
       "      <td>Confirmed</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 boundary                start                  end Confidence\n",
       "0  goes-17-checkout-orbit           2018-05-08           2018-10-24  Uncertain\n",
       "1         goes-w-inverted           2018-11-13           2019-03-27  Uncertain\n",
       "2           goes-w-normal           2019-03-28  2019-09-09 21:00:00  Uncertain\n",
       "3         goes-w-inverted  2019-09-09 21:00:00  2020-04-06 21:45:00  Confirmed\n",
       "4           goes-w-normal  2020-04-06 21:45:00  2020-09-08 21:45:00  Confirmed\n",
       "5         goes-w-inverted  2020-09-08 21:45:00  2021-04-06 21:00:00  Confirmed\n",
       "6           goes-w-normal  2021-04-06 21:00:00  2021-09-07 21:00:00  Confirmed\n",
       "7         goes-w-inverted  2021-09-07 21:00:00  2022-04-05 21:00:00  Confirmed\n",
       "8           goes-w-normal  2022-04-05 21:00:00           2023-01-03  Confirmed"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_obs_intervals(17)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a91f51ce",
   "metadata": {},
   "source": [
    "The other satellites have simpler histories. The satellite can be given as an\n",
    "int or in any of the common string forms (`16`, `'g16'`, `'glm-16'`,\n",
    "`'goes-16'`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1047d374",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-15T23:27:47.213055Z",
     "iopub.status.busy": "2026-06-15T23:27:47.212641Z",
     "iopub.status.idle": "2026-06-15T23:27:47.226462Z",
     "shell.execute_reply": "2026-06-15T23:27:47.225588Z"
    }
   },
   "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>boundary</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>goes-e</td>\n",
       "      <td>2017-12-18</td>\n",
       "      <td>2025-04-06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  boundary       start         end\n",
       "0   goes-e  2017-12-18  2025-04-06"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_obs_intervals('goes-16')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d12429f",
   "metadata": {},
   "source": [
    "## `get_boundary`: the FOV polygons\n",
    "\n",
    "`get_boundary` returns the actual field-of-view polygon for a sensor or GOES\n",
    "position as a `shapely` geometry. Valid names include `'goes-e'`, `'goes-w'`,\n",
    "`'goes-w-normal'`, `'goes-w-inverted'`, `'goes'` (the combined GOES FOV), the Fengyun-4A\n",
    "`'fy4a*'` FOVs, and the Global Meteor Network `'gmn-*km'` FOVs — see the\n",
    "`get_boundary` reference for the full list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a1063c95",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-15T23:27:47.230517Z",
     "iopub.status.busy": "2026-06-15T23:27:47.229797Z",
     "iopub.status.idle": "2026-06-15T23:27:47.285178Z",
     "shell.execute_reply": "2026-06-15T23:27:47.284005Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Polygon | geometry type: Polygon\n"
     ]
    }
   ],
   "source": [
    "boundary = get_boundary('goes-e')\n",
    "print(type(boundary).__name__, \"| geometry type:\", boundary.geom_type)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "814b945f",
   "metadata": {},
   "source": [
    "By default polygons are returned in an Azimuthal Equidistant CRS (centered on\n",
    "the north pole), which is convenient for area/contains computations. Pass\n",
    "`crs='epsg:4326'` to get them back in longitude/latitude instead.\n",
    "\n",
    "To draw FOVs on a map, the package provides `fov_utils.add_boundary`, which adds\n",
    "a boundary to a Cartopy `GeoAxes` (handling the projection for you). Here we plot\n",
    "the GOES-East and GOES-West FOVs together with the example point from earlier —\n",
    "note it falls inside *both*, matching the `get_satellites` result above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "287c6ef3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-15T23:27:47.288857Z",
     "iopub.status.busy": "2026-06-15T23:27:47.288448Z",
     "iopub.status.idle": "2026-06-15T23:27:47.674191Z",
     "shell.execute_reply": "2026-06-15T23:27:47.673118Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "from bolides.fov_utils import add_boundary\n",
    "\n",
    "fig = plt.figure(figsize=(11, 6))\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.coastlines()\n",
    "ax.set_global()\n",
    "\n",
    "add_boundary(ax, 'goes-e', boundary_style={'edgecolor': 'C0', 'linewidth': 2, 'facecolor': 'none'})\n",
    "add_boundary(ax, 'goes-w', boundary_style={'edgecolor': 'C1', 'linewidth': 2, 'facecolor': 'none'})\n",
    "ax.plot(-94.086853, 27.11355, marker='*', color='red', markersize=15,\n",
    "        transform=ccrs.PlateCarree(), label='example point')\n",
    "\n",
    "ax.legend(loc='lower left')\n",
    "ax.set_title('GLM fields of view: GOES-East (C0) and GOES-West (C1)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fbfece7d",
   "metadata": {},
   "source": [
    "## Summary\n",
    "\n",
    "- `get_satellites` — which GOES satellites' GLM could observe a spatiotemporal\n",
    "  point (single or vectorized; numbers or structured info).\n",
    "- `get_obs_intervals` — each satellite's operational windows and FOV\n",
    "  orientations.\n",
    "- `get_boundary` — the FOV polygons themselves, with `fov_utils.add_boundary`\n",
    "  for plotting.\n",
    "\n",
    "None of these require a `BolideDataFrame`. To filter a table of detections by\n",
    "observability instead, see `BolideDataFrame.filter_observation` in the\n",
    "[BolideDataFrame tutorial](tutorial_BolideDataFrame.ipynb)."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}