{
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     "text": [
      "Sentinel-1 images count: 782\n",
      "Sentinel-2 images count: 466\n",
      "PALSAR-2 images count: 110\n",
      "PALSAR-2 Observation Mode Counts:\n",
      "ScanSAR VBD: 5\n",
      "ScanSAR WBD: 95\n",
      "ScanSAR WBS: 10\n",
      "Sentinel-1 Images by Hour and Minute\n",
      "Hour: 05, Minute: 34 → 80\n",
      "Hour: 05, Minute: 35 → 180\n",
      "Hour: 05, Minute: 42 → 35\n",
      "Hour: 05, Minute: 43 → 227\n",
      "Hour: 17, Minute: 22 → 77\n",
      "Hour: 17, Minute: 23 → 183\n",
      "Sentinel-2 Images by Hour and Minute\n",
      "Hour: 10, Minute: 37 → 32\n",
      "Hour: 10, Minute: 38 → 434\n"
     ]
    }
   ],
   "source": [
    "# plot when images are available in a graph for thes colection\n",
    "# s1_col = (ee.ImageCollection('COPERNICUS/S1_GRD')\n",
    "        #           .filterBounds(roi)\n",
    "        #           .filterDate(DATE_START, DATE_END)\n",
    "        #           .filter(ee.Filter.eq('instrumentMode', 'IW'))\n",
    "        #           .map(lambda img: img.select(['VV', 'VH']).clip(roi).toFloat())\n",
    "        # )\n",
    "        # s2_raw = (ee.ImageCollection(\"COPERNICUS/S2_SR_HARMONIZED\")\n",
    "        #           .filterBounds(roi)\n",
    "        #           .filterDate(DATE_START, DATE_END))\n",
    "# and for the ee.ImageCollection(\"JAXA/ALOS/PALSAR-2/Level2_2/ScanSAR\") collelction\n",
    "\n",
    "\n",
    "import ee\n",
    "import datetime\n",
    "import pandas as pd\n",
    "\n",
    "ee.Authenticate()\n",
    "ee.Initialize()\n",
    "\n",
    "roi =  ee.Geometry.Polygon([\n",
    "        [[7.472076, 46.371332],\n",
    "         [7.472076, 46.395963],\n",
    "         [7.558594, 46.395963],\n",
    "         [7.558594, 46.371332]]\n",
    "    ]) \n",
    "DATE_START = '2020-01-01'\n",
    "DATE_END = '2025-12-31'\n",
    "\n",
    "s1_col = (ee.ImageCollection('COPERNICUS/S1_GRD')\n",
    "          .filterBounds(roi)  \n",
    "          .filterDate(DATE_START, DATE_END)\n",
    "          \n",
    "          .filter(ee.Filter.eq('instrumentMode', 'IW'))\n",
    ")\n",
    "s2_raw = (ee.ImageCollection(\"COPERNICUS/S2_SR_HARMONIZED\")\n",
    "          .filterBounds(roi)\n",
    "          .filterDate(DATE_START, DATE_END)\n",
    ")\n",
    "\n",
    "palsar2_col = (ee.ImageCollection(\"JAXA/ALOS/PALSAR-2/Level2_2/ScanSAR\")\n",
    "               .filterBounds(roi)\n",
    "               .filterDate(DATE_START, DATE_END)\n",
    "            #    .filter(ee.Filter.eq('ObservationMode', 'ScanSAR WBD'))\n",
    ")\n",
    "\n",
    "print(f'Sentinel-1 images count: {s1_col.size().getInfo()}')\n",
    "print(f'Sentinel-2 images count: {s2_raw.size().getInfo()}')\n",
    "print(f'PALSAR-2 images count: {palsar2_col.size().getInfo()}')\n",
    "\n",
    "def get_dates(image):\n",
    "    date = ee.Date(image.get('system:time_start')).format('YYYY-MM-dd')\n",
    "    return ee.Feature(None, {'date': date})\n",
    "\n",
    "s1_dates = s1_col.map(get_dates).distinct('date').aggregate_array('date').getInfo()\n",
    "s2_dates = s2_raw.map(get_dates).distinct('date').aggregate_array('date').getInfo()\n",
    "palsar2_dates = palsar2_col.map(get_dates).distinct('date').aggregate_array('date').getInfo()\n",
    "\n",
    "# Convert string dates to datetime objects\n",
    "s1_dates = [datetime.datetime.strptime(date, '%Y-%m-%d') for date in s1_dates]\n",
    "s2_dates = [datetime.datetime.strptime(date, '%Y-%m-%d') for date in s2_dates]\n",
    "palsar2_dates = [datetime.datetime.strptime(date, '%Y-%m-%d') for date in palsar2_dates]\n",
    "\n",
    "# Create a DataFrame for plotting\n",
    "df_s1 = pd.DataFrame({'Date': s1_dates, 'Collection': 'Sentinel-1'})\n",
    "df_s2 = pd.DataFrame({'Date': s2_dates, 'Collection': 'Sentinel-2'})\n",
    "df_palsar2 = pd.DataFrame({'Date': palsar2_dates, 'Collection': 'PALSAR-2'})\n",
    "df = pd.concat([df_s1, df_s2, df_palsar2])\n",
    "df['Count'] = 1\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# Plotting using plotly calendar heatmap\n",
    "import plotly.express as px\n",
    "fig = px.density_heatmap(df, x='Date', y='Collection', z='Count', \n",
    "                         histfunc='sum', nbinsx=12*6, nbinsy=3,\n",
    "                         title='Image Availability Calendar Heatmap',\n",
    "                         labels={'Date': 'Date', 'Collection': 'Satellite Collection', 'Count': 'Number of Images'},\n",
    "                         color_continuous_scale='Viridis')\n",
    "fig.update_layout(yaxis={'categoryorder':'array', 'categoryarray':['Sentinel-1', 'Sentinel-2', 'PALSAR-2']})\n",
    "fig.show(renderer=\"browser\")\n"
   ]
  }
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