RCC_footprint.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## For a given ga-metadata.yaml - draw the polygon as a shapely object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from datetime import timedelta, datetime\n",
    "import ephem\n",
    "from osgeo import ogr\n",
    "\n",
    "import fiona\n",
    "import folium\n",
    "from IPython.display import display\n",
    "import geopandas\n",
    "%matplotlib inline\n",
    "\n",
    "from shapely.geometry import mapping\n",
    "from shapely.geometry import shape\n",
    "from shapely.geometry import Polygon\n",
    "from shapely.geometry import MultiPolygon\n",
    "from shapely.geometry import LineString\n",
    "import yaml\n",
    "import pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get information from the RCC metadata AOS LOS and Platform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'lineage': {'machine': {}, 'source_datasets': {}}, 'product_type': 'satellite_telemetry_data', 'format': {'version': 0, 'name': 'RCC'}, 'image': {'bands': {}}, 'creation_dt': datetime.datetime(2015, 11, 23, 0, 24, 19, 191972), 'instrument': {'name': 'TM', 'operation_mode': 'SAM'}, 'ga_label': 'LS5_TM_STD-RCC_P00_L5TT1986227235010ASA111_0_0_19860815T235010Z19860815T235627', 'platform': {'code': 'LANDSAT_5'}, 'ga_level': 'P00', 'size_bytes': 3971638821, 'usgs': {'interval_id': 'L5TT1986227235010ASA111'}, 'checksum_path': 'package.sha1', 'id': '896605c4-9178-11e5-879d-ac162d791418', 'acquisition': {'los': datetime.datetime(1986, 8, 15, 23, 56, 27), 'platform_orbit': 13067, 'aos': datetime.datetime(1986, 8, 15, 23, 50, 10), 'groundstation': {'eods_domain_code': '002', 'code': 'ASA', 'label': 'Alice Springs'}}}\n"
     ]
    }
   ],
   "source": [
    "with open('ga-metadata.yaml', 'r') as stream:\n",
    "    try:\n",
    "        meta = (yaml.load(stream))\n",
    "        print(meta)\n",
    "    except yaml.YAMLError as exc:\n",
    "        print(exc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'LANDSAT_5'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta['platform']['code']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1986"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta['acquisition']['aos'].year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(1986, 8, 15, 23, 56, 27)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta['acquisition']['los']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def dms2dec(dms):\n",
    "    strdms = str(dms)\n",
    "    dms = [float(x) for x in strdms.split(':')]\n",
    "    if dms[0] < 0:\n",
    "        dec = dms[0]-(dms[1]/60)-(dms[2]/3600)\n",
    "    else:\n",
    "        dec = dms[0]+(dms[1]/60)+(dms[2]/3600)\n",
    "    return dec"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## From the archive TLEs find a reasonably close match to determine where the satellite was and the sub satellite position - use 7 days as the limit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "LS5tle = 'tle/LS5_ARCHIVE.txt'\n",
    "platform = meta['platform']['code']\n",
    "aos = meta['acquisition']['aos']\n",
    "los = meta['acquisition']['los']\n",
    "deltadays = 30 # Tolerance for time delta between TLE epoch and AOS\n",
    "track = []\n",
    "with open(LS5tle, 'r') as f:\n",
    "    data = f.readlines()\n",
    "    index = 0\n",
    "    found = False\n",
    "    \n",
    "    for line in data:\n",
    "        if (line[0]=='1'):\n",
    "            #print line[18:20]\n",
    "            index +=1\n",
    "            #print data[index]\n",
    "            sat = ephem.readtle(platform,line,data[index])\n",
    "            try:\n",
    "                sat.compute(str(aos))\n",
    "                epoch =  datetime.strptime(str(sat._epoch), \"%Y/%m/%d %H:%M:%S\")\n",
    "                absolute = abs(aos-epoch)\n",
    "                delta = timedelta(days=deltadays)\n",
    "                timestep = timedelta(seconds=5)\n",
    "                if absolute < delta:\n",
    "                    while aos < los:\n",
    "                        sat.compute(str(aos))\n",
    "                        track.append([dms2dec(sat.sublong),dms2dec(sat.sublat)])\n",
    "                        aos+=timestep\n",
    "                    sat.compute(str(los))\n",
    "                    track.append([dms2dec(sat.sublong),dms2dec(sat.sublat)])\n",
    "                    # GO DO GETPASSES IGNORE OBSERVER\n",
    "                    satellite_track = LineString(track)\n",
    "                    break\n",
    "            except ValueError:\n",
    "                pass            \n",
    "        else:\n",
    "            index +=1\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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     "execution_count": 8,
     "metadata": {},
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    }
   ],
   "source": [
    "satellite_track"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Intersect the sub satellite track with the WRS2 map to show which path rows constitute the data segment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "shapes = []\n",
    "\n",
    "for pol in fiona.open('reference/wrs2_descending.shp'):\n",
    "    if satellite_track.intersects(shape(pol['geometry'])):\n",
    "        if shape(pol['geometry']).is_valid:\n",
    "            shapes.append(shape(pol['geometry']).buffer(0))\n",
    "\n",
    "satellite_scenes = MultiPolygon(shapes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Self-intersection at or near point 136.93619298390487 -38.002328054314034\n",
      "WARNING:shapely.geos:Self-intersection at or near point 136.93619298390487 -38.002328054314034\n"
     ]
    },
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        </head>
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        </body>
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            var southWest = L.latLng(-90, -180);
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                    .addTo(map_40164613cb2f41b5abd9b0df22ff56b6);
                geo_json_6791523c71ac4a5c862f721052d03dfc.setStyle(function(feature) {return feature.properties.style;});
            
        
        
        </script>
        \" style=\"position:absolute;width:100%;height:100%;left:0;top:0;\"></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f69c692fb10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scene = mapping(satellite_scenes)\n",
    "track = mapping(satellite_track)\n",
    "style_function = lambda x: {'fillColor': '#000000' if x['type'] == 'Polygon' else '#00ff00'}\n",
    "mapa = folium.Map(location=[-30,150], zoom_start=4)\n",
    "poly = folium.features.GeoJson(scene, style_function=style_function)\n",
    "line = folium.features.GeoJson(track, style_function=style_function)\n",
    "mapa.add_children(poly)\n",
    "mapa.add_children(line)\n",
    "display(mapa)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save as shapefiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def save_shapefile(shape, filename, vector_type):\n",
    "    driver = ogr.GetDriverByName('Esri Shapefile')\n",
    "    ds = driver.CreateDataSource(filename)\n",
    "    if vector_type is 'polygon':\n",
    "        ogr_type = ogr.wkbLineString\n",
    "    if vector_type is 'line':\n",
    "        ogr_type = ogr.wkbPolygon\n",
    "    layer = ds.CreateLayer('', None, ogr.wkbLineString)\n",
    "\n",
    "    layer.CreateField(ogr.FieldDefn('id', ogr.OFTInteger))\n",
    "    defn = layer.GetLayerDefn()\n",
    "\n",
    "    feat = ogr.Feature(defn)\n",
    "    feat.SetField('id', 123)\n",
    "\n",
    "    geom = ogr.CreateGeometryFromWkb(shape.wkb)\n",
    "    feat.SetGeometry(geom)\n",
    "\n",
    "    layer.CreateFeature(feat)\n",
    "    feat = geom = None\n",
    "\n",
    "    ds = layer = feat = geom = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "save_shapefile(satellite_track, 'satellite_track.shp', 'line')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "save_shapefile(satellite_scenes, 'satellite_scenes.shp', 'polygon')"
   ]
  }
 ],
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   "pygments_lexer": "ipython2",
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