adamsteer/uav_lidar_photo_draft.ipynb

## uav_lidar_photo_draft.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sea ice draft from AUV, LiDAR and 3D photogrammetry\n",
    "Adam Steer, adam.d.steer@gmail.com\n",
    "\n",
    "Here I'm using AUV draft as 'truth' to look at some parameters for modelling sea ice thickness. My aims are:\n",
    "\n",
    "- get descriptive stats from a patch of LiDAR-derived draft pretty close (within 1-sigma) of AUV draft\n",
    "- visualise the correspondence (if any) of actual and modelled under-ice features\n",
    "\n",
    "To do this I'm using the previously levelled and filtered LiDAR data from SIPEX2 IS6, which is also registered in the same coordinate system as the UAV draft. A second altimetry dataset ion the form of a point cloud from 3D photogrammetry is also employed, mainly as a proof-of-concept but also to see if there are gains in higher resolution.\n",
    "\n",
    "So the first approach is to model ice thickness using a snow model from all possible drill holes in East Anarctica and adjust ice density until the mean ice draft from LiDAR and AUV are in agreement ( < 1-sigma). Next, determine if there are any improvements using a SIPEX-II specific snow model.\n",
    "\n",
    "Finally, the 3D photogrammetric cloud is used in a similar way. The main questions for this method are:\n",
    "\n",
    "- does it work? can we get reliable sea ice topography?\n",
    "- are there any benefits to seeing very high resolution details?\n",
    "\n",
    "Drill hole observations of ice thickness and surface topography (relative to sea level) are employed to validate (in a very constrained sense) all three surfaces. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setting up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.optimize import fsolve\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# this function is the snow depth model. Parameters come from Steer et al (2016):\n",
    "#Estimating snow depth from altimery for East Antarctic pack ice\n",
    "\n",
    "def compute_zs(tf, s_i, tf_uncert):\n",
    "    \"\"\"\n",
    "    Take in the total freeboard (tf, float array), slope and intercept for an empirical model\n",
    "    of snow depth from elevation (s_i, tuple) and the total freeboard uncertainty\n",
    "    (tf_uncert, float array)\n",
    "\n",
    "    Return a snow depth, with an associated uncertainty.\n",
    "    zs, uncert = compute_zs(tf, ([slope, intercept]), tf_uncert)\n",
    "    \"\"\"\n",
    "    \n",
    "    zs = (s_i[0] * tf) + s_i[1]\n",
    "\n",
    "    zs_uncert = s_i[0] * tf_uncert\n",
    "\n",
    "    return zs, zs_uncert\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# next define the model for estimating ice thickness from total freeboard, snow depth\n",
    "# and some density parameters:\n",
    "\n",
    "def compute_zi(tf, zs, d_ice, d_water, d_snow, sd_tf, sd_zs, sd_dsnow, \\\n",
    "               sd_dice, sd_dwater):\n",
    "    \"\"\"\"\n",
    "    sea ice thickness from elevation, and propagation of uncertainties\n",
    "    after Kwok, 2010; kwok and cunningham, 2008\n",
    "    equations:\n",
    "    4: sea ice thickness from elevation\n",
    "    6: taylor series expansion of variance/covariance propagation using\n",
    "    partial derivatives\n",
    "    8, 9 and 10: partial derivatives used in the taylor series\n",
    "    \"\"\"\n",
    "    zi = (d_water / (d_water-d_ice)) * tf - ((d_water-d_snow) / \\\n",
    "         (d_water - d_ice)) * zs\n",
    "\n",
    "    zi_uncert = sd_tf**2 * (d_water / (d_water - d_ice))**2 + \\\n",
    "           sd_zs**2 * ((d_snow - d_water) / (d_water - d_ice))**2 + \\\n",
    "           sd_dsnow**2 * (zs / (d_water - d_ice))**2 + \\\n",
    "           sd_dice**2 * (tf /  (d_water - d_ice))**2 + \\\n",
    "           sd_dwater**2 * (((-d_ice * tf) + ((d_ice-d_snow) * zs)) / \\\n",
    "           (d_water - d_ice)**2)**2\n",
    "\n",
    "    return zi, zi_uncert\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### getting data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## read in some pre-processed liDAR. This 2 million point bit already has ZI computed, but we ignore that for now\n",
    "# and just get 3D point position, z uncertainty.\n",
    "lidar = np.genfromtxt('/media/adam/data/is6_f11/python_zi/is6_f11_pass1_aa_nr2_522816_523019_c_zi.xyz', usecols = (0,1,2,3,4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#get some AUV draft, pre trimmed\n",
    "auv = np.genfromtxt('/media/adam/data/is6_f11/lidar_auv_analysis/auv_subset.txt')\n",
    "auv_draft = auv[:,2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# get a subset of LiDAR obs inside the AUV grid\n",
    "subset = lidar[(lidar[:,1] >= -150) & (lidar[:,1] <= 130) & (lidar[:,2] >= -30) & (lidar[:,2] <= 275) ]\n",
    "#get out some usefule bits of data\n",
    "tf = subset[:,3] # total freeboard\n",
    "tf_uncert = subset[:,4] # total freeboard uncertainty\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 1: Figuring out ice density to match UAV draft observations\n",
    "First, plotting draft change with density using a whole-of-East-Antarctica snow model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#these parameters drive the sea ice thickness estimation model\n",
    "d_snow = 326.31 #mean of all SIPEX-II obs\n",
    "#d_snow = 305.67 #mean of all EA obs\n",
    "sd_dsnow = 10\n",
    "sd_dice = 10\n",
    "d_water = 1028\n",
    "sd_dwater = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# a quick function to make ice parameters from a range of density values\n",
    "def build_dens(tf, zs, d_water, d_snow, tf_uncert, \\\n",
    "                    zs_uncert, sd_dsnow, sd_dice, sd_dwater,densities):\n",
    "    d_table = []\n",
    "    for d in densities:     \n",
    "        zi, zi_uncert = compute_zi(tf, zs, d, d_water, d_snow, tf_uncert, \\\n",
    "                           zs_uncert, sd_dsnow, sd_dice, sd_dwater)\n",
    "    \n",
    "        d_table.append([d,np.mean(tf-(zs + zi)), np.median(tf-(zs + zi)), np.std(tf - (zs + zi)), np.mean(zi_uncert)])\n",
    "    return np.array(d_table)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    },
    {
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8wCvhCKZNm8aBAwfo1asXDz30EAD79+9n/Pjx9O3bl8qVK1OkSBGSkpK4+OKL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\nC1FTevYAAAANSURBVGsULRaLxcX/AwugoV2E0wKKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc90c357dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "densities = np.arange(800,960,0.2)\n",
    "\n",
    "#compute snow depth based on an empirical model\n",
    "s_i = ([0.701, -0.0012]) #model from all EA drill holes\n",
    "zs, zs_uncert = compute_zs(tf, s_i, tf_uncert)\n",
    "d_table = []\n",
    "d_table = build_dens(tf, zs, d_water, d_snow, tf_uncert, \\\n",
    "                    zs_uncert, sd_dsnow, sd_dice, sd_dwater, densities)\n",
    "mean_draft = -d_table[:,1]\n",
    "\n",
    "plt.figure(figsize=(12/2.51,8/2.51))\n",
    "\n",
    "plt.plot(d_table[:,0], mean_draft, label='Mean LiDAR-derived draft')\n",
    "\n",
    "auv_mean = np.zeros_like(densities, dtype='float32')\n",
    "auv_mean[:] = np.nanmean(auv_draft)\n",
    "\n",
    "plt.plot(d_table[:,0], auv_mean, label='Mean AUV draft')\n",
    "\n",
    "idx = np.argwhere(np.isclose(auv_mean,mean_draft, atol=0.003)).reshape(-1)\n",
    "plt.plot(densities[idx], mean_draft[idx], 'ro')\n",
    "\n",
    "plt.text(densities[idx]+1, mean_draft[idx]-0.5, str(densities[idx][0]))\n",
    "print(len(idx))\n",
    "plt.ylabel('Draft (m)')\n",
    "plt.xlabel('Ice density (kg/m^3)')\n",
    "plt.grid()\n",
    "plt.legend(loc=0)\n",
    "plt.title('Ice draft with density, all east Antarctic snow', y=1.05)\n",
    "\n",
    "plt.savefig('ch4_estimate_density_EA_snow.png', bbox_inches='tight')\n",
    "plt.savefig('ch4_estimate_density_EA_snow.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean zi: 3.4556439456672146, std zi: 1.7350559928619649, mean zs: 0.5055719823120249, mean draft: 3.2382887064214296, std draft: 1.6262900861660823\n"
     ]
    }
   ],
   "source": [
    "zi, zi_uncert = compute_zi(tf, zs, densities[idx][0], d_water, d_snow, tf_uncert, \\\n",
    "                           zs_uncert, sd_dsnow, sd_dice, sd_dwater)\n",
    "\n",
    "print('mean zi: {}, std zi: {}, mean zs: {}, mean draft: {}, std draft: {}'.\n",
    "      format(np.mean(zi), np.std(zi), np.mean(zs), mean_draft[idx][0], d_table[idx,3][0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 915.6])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "densities[idx]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using this snow model, we would need to approximate density as 915.6 kg/m^3 to make LiDAR derived draft realistic at a floe scale"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### Let's change the snow model to SIPEX-II only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "s_i_2 = ([0.64, 0.076]) #model from only SIPEX-II drill holes\n",
    "zs_s2, zs_s2_uncert = compute_zs(tf, s_i_2, tf_uncert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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owaZNm47pSffleEP5A4waNYpBgwZRvnx5nn76aW7wcS75fuf+/fszbNgwKlWq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\nxWKxuPh/bwRAKSty/BUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc90cb56908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "d_table = []\n",
    "d_table = build_dens(tf, zs_s2, d_water, d_snow, tf_uncert, \\\n",
    "                    zs_s2_uncert, sd_dsnow, sd_dice, sd_dwater, densities)\n",
    "\n",
    "mean_draft = -d_table[:,1]\n",
    "\n",
    "plt.figure(figsize=(12/2.51,8/2.51))\n",
    "\n",
    "plt.plot(densities, mean_draft, label='Mean LiDAR-derived draft')\n",
    "\n",
    "plt.plot(densities, auv_mean, label='Mean AUV draft')\n",
    "\n",
    "idx = np.argwhere(np.isclose(mean_draft, auv_mean, atol=0.003)).reshape(-1)\n",
    "plt.plot(densities[idx], mean_draft[idx], 'ro')\n",
    "\n",
    "plt.text(densities[idx]-18, mean_draft[idx] +0.1, str(densities[idx][0]))\n",
    "\n",
    "plt.ylabel('Draft (m)')\n",
    "plt.xlabel('Ice density (kg/m^3)')\n",
    "plt.grid()\n",
    "plt.legend(loc=0)\n",
    "plt.title('Ice draft with density, SIPEX-II snow model', y=1.05)\n",
    "\n",
    "plt.savefig('ch4_estimate_density_sipex2_snow.png', bbox_inches='tight')\n",
    "plt.savefig('ch4_estimate_density_sipex2_snow.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 921.2])"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "densities[idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean zi: 3.6368387592977927, std zi: 1.8260327115888537, mean zs: 0.5055719823120249, mean draft: 3.2351041629806407, std draft: 1.840866342812576\n"
     ]
    }
   ],
   "source": [
    "zi, zi_uncert = compute_zi(tf, zs, densities[idx][0], d_water, d_snow, tf_uncert, \\\n",
    "                           zs_uncert, sd_dsnow, sd_dice, sd_dwater)\n",
    "print('mean zi: {}, std zi: {}, mean zs: {}, mean draft: {}, std draft: {}'.\n",
    "      format(np.mean(zi), np.std(zi), np.mean(zs), mean_draft[idx][0], d_table[idx,3][0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean AUV draft: 3.2371440703565115, std AUV draft: 1.9381890100880586\n"
     ]
    }
   ],
   "source": [
    "print('mean AUV draft: {}, std AUV draft: {}'.\n",
    "      format(np.mean(auv_draft), np.std(auv_draft)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### in situ mean snow depth was 0.27 m, ice thickness 1.731 m, from the transect line.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### Summary of tinkering with ice density\n",
    "\n",
    "Using the all-EA snow model. we arrive at an ice density of 922.4 kg/m^3 for matching altimetry-derived draft and AUV draft on a floe scale. Although, snow depth is more than double in situ observations (with the caveat that likely only lower snow depths were sampled directly). Using the SIPEX-II snow model, ice density is 928.8 kg/m^2 and snow is 4 cm deeper.\n",
    "\n",
    "These density values are extreme, given sampled values on SIPEX-II of around 800 - 870 kg/m^3. So what do we choose? Using a SIPEX-II snow model gives a better match to draft variability, but the all-EA model gives a closer match to snow depth. I think we can hold our noses, leap in and go for a better draft match - meaning the SIPEX-II snow model. Why is this? It's completely uncertain as to whether 0.27 m is a realistic snow depth for the site, based on a tiny (and potentially biased) sample."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## Part 2: Visualising ice draft from altimetry."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### loading some in situ observations for visualising, and later checking purposes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "is6holes = np.genfromtxt('/media/adam/data/is6_f11/insitu/is6.csv', delimiter = ',')\n",
    "is6zs = is6holes[:,4]\n",
    "is6tf = is6holes[:,3] + is6holes[:,4]\n",
    "is6fi = is6holes[:,3]\n",
    "is6draft = is6holes[:,5]\n",
    "nozero = np.where(is6draft == 0)\n",
    "is6draft[nozero] = np.nan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### making a set of sea ice draft observations from LiDAR, based on density experiments above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# zs and zs uncertainty are already done, using the EA snow model\n",
    "# so we just make thickness\n",
    "d = 915.6\n",
    "\n",
    "#this is a necessary hack. If zs > tf, then ice thickness will be negative. SO for those locations\n",
    "# we set zs to 0. \n",
    "this = np.where(zs > tf)\n",
    "zs[this] = 0\n",
    "\n",
    "zi, zi_uncert = compute_zi(tf, zs, d, d_water, d_snow, tf_uncert, \\\n",
    "                           zs_uncert, sd_dsnow, sd_dice, sd_dwater)\n",
    "\n",
    "draft = tf - (zi + zs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-18.641816601918148"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(draft)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Zooming in on the drill line, what do we get from LiDAR, AUV and drill observations?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "drillhole mean: -1.63319587628866, std: 0.7246165660665278, N: 97\n",
      "auv mean: -1.7128754716981132, std: 0.7155530264593197, N: 159\n",
      "lidar mean: -1.5330584779579661, std: 0.8141849742219338, N: 65\n"
     ]
    }
   ],
   "source": [
    "auv_t = np.where((auv[:,0] > -0.2) & (auv[:,0] < 0.2) & (auv[:,1] >= 0) & (auv[:,1] <= 100))\n",
    "lidar_t = np.where((subset[:,1] > -0.5) & (subset[:,1] < 0.5) & (subset[:,2] >= 0) & (subset[:,2] <= 100))\n",
    "\n",
    "print('drillhole mean: {}, std: {}, N: {}'.format(np.nanmean(is6draft), np.nanstd(is6draft), len(is6draft[np.isfinite(is6draft)])))\n",
    "print('auv mean: {}, std: {}, N: {}'.format(-np.nanmean(auv_draft[auv_t[0]]), np.nanstd(auv_draft[auv_t[0]]), len(~np.isnan(auv_draft[auv_t[0]]))))\n",
    "print('lidar mean: {}, std: {}, N: {}'.format(np.nanmean(draft[lidar_t[0]]), np.nanstd(draft[lidar_t[0]]), len(~np.isnan(draft[lidar_t[0]]))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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89a/eX3PoECQnQ4sWhTv2hg0QEwOxsYWrRymlLjXyfK6l8vxi/urfWptfffVV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\nGmAqpZRSSimf0gBTKaWUUkr51P8DE5ky6VW0tugAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa8723ae438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16/2.51,10/2.51))\n",
    "plt.plot(is6holes[:,1], is6tf,\n",
    "         label='Drill holes, $\\mu$ = {0:.2f}; $\\sigma$ = {1:.2f}'.format(np.nanmean(is6tf), np.nanstd(is6tf)))\n",
    "plt.plot(subset[lidar_t[0],2], subset[lidar_t[0],3],\n",
    "         label='Airborne LiDAR, $\\mu$ = {0:.2f}; $\\sigma$ = {1:.2f}'.format(np.mean(subset[lidar_t[0],3]), np.std(subset[lidar_t[0],3])))\n",
    "plt.legend(loc=2, bbox_to_anchor=(1,1.03))\n",
    "plt.title('Surface elevation SIPEX II ice station 6 transect line')\n",
    "plt.xlabel('Distance along transect (m)')\n",
    "plt.ylabel('Elevation (m)')\n",
    "plt.savefig('ch4_transect_surface_elev_is6.png', bbox_inches='tight')\n",
    "plt.savefig('ch4_transect_surface_elev_is6.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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N7MuCQwsK1GdGVgbdFncjpGYIoxqPMlumTbU27B+xnyMJRwj+KZjTyaettlkY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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa871ae3400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16/2.51,10/2.51))\n",
    "\n",
    "plt.plot(is6holes[:,1], is6draft,\n",
    "         label=r'Drill hole, $\\mu$ = {0:.2f}; $\\sigma$ = {1:.2f}'.format(np.nanmean(is6draft), np.nanstd(is6draft)))\n",
    "plt.plot(subset[lidar_t[0],2], draft[lidar_t[0]],\n",
    "         label='Airborne LiDAR, $\\mu$ = {0:.2f}; $\\sigma$ = {1:.2f}'.format(np.mean(draft[lidar_t[0]]), np.std(draft[lidar_t[0]])))\n",
    "plt.plot(auv[auv_t[0],1], -auv_draft[auv_t[0]], \n",
    "         label = 'Upward looking SONAR, $\\mu$ = {0:.2f}; $\\sigma$ = {1:.2f}'.format(np.mean(-auv_draft[auv_t[0]]), np.std(-auv_draft[auv_t[0]])))\n",
    "\n",
    "plt.legend(loc=2, bbox_to_anchor=(1,1.03))\n",
    "plt.title('Ice draft along the SIPEX II ice station 6 transect line')\n",
    "plt.xlabel('Distance along transect (m)')\n",
    "plt.ylabel('Ice draft (m)')\n",
    "plt.savefig('ch4_transect_draft_is6.png', bbox_inches='tight')\n",
    "plt.savefig('ch4_transect_draft_is6.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stack up LiDAR surface, draft, and AUV draft\n",
    "...this is a figure in Chapter 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#set up for 3d plots\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import matplotlib.pylab as pylab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.4/dist-packages/matplotlib/figure.py:1744: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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Wmfl6UfS8EjNvURRFgXGOI5tDPv7YKYz3jGsTOjWVoJ1qRsbSSjUNFMPa0UhACUEr0Yxq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ejtvO1IjImRXwlaSVRXL01YzQ2TuqOJLkkb/+5Ea+atPQk9b62nspZcK1Ijekat9MlkNtXywNC4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S5ymOs8Rsdoy1tS06nQ5PPPFRms2TBEGf8XgP3/cYDAbEcUmaOozHN5Hn62jdQusOWi8B4DgR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\n22S+vamqjJ2dz4wF5+32K7Asm0uX3kGzeRdRdJwLF/4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ZJlBaIzKMg1bORx8j2i/LFNHF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YcQyLL9/bW5W2G9d2sAQEQYX3qZ7XPPYzauYF1BNlwhLwa4E6cYHDmx6/fpwMKdI8Z4V7IF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\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fB5M7QVGpwhlb4zCUTY+Ndo3C9nFGTQOq6+vYRYM1jpiEOpxWbZ6JC1ZcK9wHlHZIVR6g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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa8774474a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt_az=300\n",
    "plt_elev = 70.\n",
    "plt_s = 2\n",
    "\n",
    "cb_fmt = '%.1f'\n",
    "\n",
    "fig = plt.figure()\n",
    "fig.set_size_inches(22/2.51, 20/2.51)\n",
    "\n",
    "\n",
    "ax0 = fig.add_subplot(311, projection='3d')\n",
    "a0 = ax0.scatter(subset[:,1], subset[:,2], subset[:,3], c=np.ndarray.tolist(subset[:,3]),\\\n",
    "                cmap='ocean_r', lw=0, vmin = -0.5, vmax = 5, s=plt_s)\n",
    "ax0.scatter(is6holes[:,0], is6holes[:,1], is6fi+is6zs, c=np.ndarray.tolist(is6fi+is6zs),\\\n",
    "                cmap='hot_r', lw=0, vmin = 0, vmax = 2, s=40)\n",
    "ax0.view_init(elev=plt_elev, azim=plt_az)\n",
    "ax0.set_xticks([]) \n",
    "ax0.set_yticks([]) \n",
    "ax0.set_axis_off() \n",
    "ax0.text2D(0.05, 0.8,'A', ha='center', va='center', transform=ax0.transAxes, fontsize=12, weight='bold')\n",
    "cbaxes0 = fig.add_axes([0.9, 0.8, 0.02, 0.15]) \n",
    "cb0 = plt.colorbar(a0, cax=cbaxes0, ticks=np.arange(0,5,1), format=cb_fmt)\n",
    "\n",
    "ax1 = fig.add_subplot(312, projection='3d')\n",
    "a1 = ax1.scatter(subset[:,1], subset[:,2], draft, c=np.ndarray.tolist(draft),\\\n",
    "                cmap='gist_stern', lw=0, vmin = -20, vmax = 0, s = plt_s)\n",
    "ax1.set_xticks([]) \n",
    "ax1.set_yticks([]) \n",
    "ax1.view_init(elev=plt_elev, azim=plt_az)\n",
    "ax1.set_axis_off() \n",
    "ax1.text2D(0.05, 0.8,'B', ha='center', va='center', transform=ax1.transAxes, fontsize=12, weight='bold')\n",
    "cbaxes1 = fig.add_axes([0.9, 0.46, 0.02, 0.15]) \n",
    "cb1 = plt.colorbar(a1, cax=cbaxes1, ticks=np.arange(-20, 0, 5), format=cb_fmt)\n",
    "\n",
    "ax2 = fig.add_subplot(313, projection='3d')\n",
    "a2 = ax2.scatter(auv[:,0], auv[:,1], -auv_draft, c=np.ndarray.tolist(-auv_draft),\\\n",
    "                cmap='gist_earth', lw=0, vmin = -20, vmax = 0, s = plt_s)\n",
    "ax2.scatter(is6holes[:,0], is6holes[:,1], is6draft+3, c=np.ndarray.tolist(is6draft),\\\n",
    "                cmap='hot', lw=0, vmin = -5, vmax = 2, s=10)\n",
    "ax2.view_init(elev=plt_elev, azim=plt_az)\n",
    "ax2.w_zaxis.line.set_lw(0.)\n",
    "ax2.set_zticks([])\n",
    "ax2.text2D(0.05, 0.8,'C', ha='center', va='center', transform=ax2.transAxes, fontsize=12, weight='bold')\n",
    "cbaxes2 = fig.add_axes([0.9, 0.13, 0.02, 0.15]) \n",
    "cb2 = plt.colorbar(a2, cax=cbaxes2, ticks=np.arange(-20, 0, 5), format=cb_fmt)\n",
    "\n",
    "#ax2.set_axis_off() \n",
    "ax2.set_xticks(np.arange(np.min(auv[:,0]), np.max(auv[:,0]), 50))\n",
    "ax2.set_yticks(np.arange(np.min(auv[:,1])-20, np.max(auv[:,1]), 50))\n",
    "ax2.set_xlabel('Local X (m)', linespacing=4)\n",
    "ax2.set_ylabel('Local Y (m)')\n",
    "ax2.tick_params(axis='x', which='major', pad=15)\n",
    "ax2.tick_params(axis='y', which='major', pad=15)\n",
    "ax2.set_zticks([])\n",
    "ax2.w_zaxis.line.set_lw(0.)\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig('is6_lidar_auv_draft_top.png', bbox_inches='tight')\n",
    "plt.savefig('is6_lidar_auv_draft_top.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this plot, panel A is LiDAR topography. Panel B is draft derived from LiDAR topography, and panel C is AUV draft. All plots cover 280 x 305 m, axes are not drawn because Python weirdness. Large features look OK, but snow topography introduces excessive roughness. In panel C there's a smooth patch just left of centre. It isn't present in Panel B because of snow ridge topography. So the **magnitude** of large features seems OK, but not really their shape or orientation. Small features in the under-ice realm are completely lost, and spurious snow dune reflections are added."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.4/dist-packages/matplotlib/figure.py:1744: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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Of0jx5vV6jZqFefPmMWLECPLy8vj666/p2bNnA6/O5Ew5UxdnVU7m4mwq7k5d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\nGFwkjne47bYT3HjjIS5d+gvq2nHy5Hdy+fJfkuePMxz+Md3uq3G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Ji9rm/e+/egu8ba2t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Iuk6aYaATaoY1OEjZERqxguLD1uAl5tu4tldTXzLVcWTvpaBeDVETMmdaCyaOl8qipWl2Oi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\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Voh6W3U1zwNiYV15prXT9YcvFM4blKQ8/8S184XMfQNlwv9jB+8W27XhQKeWiMXCRauv9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\nJElSjxjeJEmSeuRffzgL51NGPtgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa8774473c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "fig.set_size_inches(22/2.51, 20/2.51)\n",
    "\n",
    "\n",
    "ax0 = fig.add_subplot(311, projection='3d')\n",
    "a0 = ax0.scatter(subset[:,1], subset[:,2], subset[:,3], c=np.ndarray.tolist(subset[:,3]),\\\n",
    "                cmap='ocean_r', lw=0, vmin = -0.5, vmax = 5, s=plt_s)\n",
    "ax0.scatter(is6holes[:,0], is6holes[:,1], is6fi+is6zs, c=np.ndarray.tolist(is6fi+is6zs),\\\n",
    "                cmap='hot_r', lw=0, vmin = 0, vmax = 2, s=10)\n",
    "ax0.view_init(elev=-plt_elev, azim=plt_az)\n",
    "ax0.text2D(0.05, 0.8,'A', ha='center', va='center', transform=ax0.transAxes, fontsize=12, weight='bold')\n",
    "cbaxes0 = fig.add_axes([0.9, 0.8, 0.02, 0.15]) \n",
    "cb0 = plt.colorbar(a0, cax=cbaxes0, ticks=np.arange(0,5,1), format=cb_fmt)\n",
    "\n",
    "#ax0.set_axis_off() \n",
    "ax0.set_xticks(np.arange(np.min(auv[:,0]), np.max(auv[:,0]), 50))\n",
    "ax0.set_yticks(np.arange(np.min(auv[:,1])-20, np.max(auv[:,1]), 50))\n",
    "ax0.set_xlabel('Local X (m)', linespacing=4)\n",
    "ax0.set_ylabel('Local Y (m)')\n",
    "ax0.tick_params(axis='x', which='major', pad=15)\n",
    "ax0.tick_params(axis='y', which='major', pad=15)\n",
    "ax0.set_zticks([])\n",
    "\n",
    "\n",
    "ax1 = fig.add_subplot(312, projection='3d')\n",
    "a1 = ax1.scatter(subset[:,1], subset[:,2], draft, c=np.ndarray.tolist(draft),\\\n",
    "                cmap='gist_stern', lw=0, vmin = -20, vmax = 0, s = plt_s)\n",
    "ax1.set_xticks([]) \n",
    "ax1.set_yticks([]) \n",
    "ax1.view_init(elev=-plt_elev, azim=plt_az)\n",
    "ax1.set_axis_off() \n",
    "ax1.text2D(0.05, 0.8,'B', ha='center', va='center', transform=ax1.transAxes, fontsize=12, weight='bold')\n",
    "cbaxes1 = fig.add_axes([0.9, 0.46, 0.02, 0.15]) \n",
    "cb1 = plt.colorbar(a1, cax=cbaxes1, ticks=np.arange(-20, 0, 5), format=cb_fmt)\n",
    "\n",
    "ax2 = fig.add_subplot(313, projection='3d')\n",
    "a2 = ax2.scatter(auv[:,0], auv[:,1], -auv_draft, c=np.ndarray.tolist(-auv_draft),\\\n",
    "                cmap='gist_earth', lw=0, vmin = -20, vmax = 0, s = plt_s)\n",
    "ax2.scatter(is6holes[:,0], is6holes[:,1], is6draft-5, c=np.ndarray.tolist(is6draft),\\\n",
    "                cmap='hot', lw=0, vmin = -10, vmax = 2, s=10)\n",
    "ax2.view_init(elev=-plt_elev, azim=plt_az)\n",
    "ax2.set_axis_off() \n",
    "ax2.w_zaxis.line.set_lw(0.)\n",
    "ax2.set_zticks([])\n",
    "ax2.text2D(0.05, 0.8,'C', ha='center', va='center', transform=ax2.transAxes, fontsize=12, weight='bold')\n",
    "cbaxes2 = fig.add_axes([0.9, 0.13, 0.02, 0.15]) \n",
    "cb2 = plt.colorbar(a2, cax=cbaxes2, ticks=np.arange(-20, 0, 5), format=cb_fmt)\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig('is6_lidar_auv_draft_bottom.png', bbox_inches='tight')\n",
    "plt.savefig('is6_lidar_auv_draft_bottom.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Summary of section 2\n",
    "\n",
    "We can see from stacking up the LiDAR surface, derived draft and AUV draft that there's good correspondence between really big features. The topography of snow dominates derived draft from altimetry, making smaller scale topography where there is none. Encouragingly, no special tricks were required to get LiDAR and transect line surface topography to agree. Under the ice, we see a couple of quite important things.\n",
    "\n",
    "**Drill holes** are actually pretty good at getting ice thickness. The fact that the drill hole record is overly thin, then, is sampling bias rather than a method issue.\n",
    "\n",
    "**LiDAR draft** is completely not getting under ice stuff at this scale, because the surface in this case bears no relationship to the underside. This is discussed heavily in ch2."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Section 3: Adding a photogrammetry cloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "##import photo points, We try to kill Python!\n",
    "photo = np.genfromtxt('/media/adam/data/is6_f11/photoscan/is6_f11_photoscan_aggr.pts', usecols = (0,1,2), skip_header=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Because of the opportunistic nature of these data, the survey area needs to be trimmed a lot closer to the 100 x 100 m patch of ice, so here we look at 150 x 150m. Not much, but enough to make something interesting. Also because the patch picked below still has 20 x 10^6 points!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Take a subset of photo points\n",
    "photo = photo[(photo[:,0] >= -25) & (photo[:,0] <= 125) & (photo[:,1] >= -25) & (photo[:,1] <= 125) ]\n",
    "\n",
    "#index of AUV points to match                      \n",
    "auv_ps = np.where((auv[:,0] >= -25) & (auv[:,0] <= 125) & (auv[:,1] >= -25) & (auv[:,1] <= 125))\n",
    "\n",
    "#...and LIDAR to match                      \n",
    "lidar_ps = np.where((subset[:,1] >= -25) & (subset[:,1] <= 125) & (subset[:,2] >= -25) & (subset[:,2] <= 125))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.78600000000000003"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(photo[:,2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#therange = np.arange(0,len(photo[:,2]), 20)\n",
    "#photo_s = photo[therange,:]\n",
    "\n",
    "tf_p = photo[:,2]\n",
    "\n",
    "#this = np.where(tf_p < 0)\n",
    "#tf_p[this] = 0\n",
    "\n",
    "sd_tfp = 0.1 #\n",
    "\n",
    "#picking out some points along a transect line\n",
    "photo_t = np.where((photo[:,0] > -0.1) & (photo[:,0] < 0.1) & (photo[:,1] >= 0) & (photo[:,1] <= 100))\n",
    "\n",
    "\n",
    "#the points here are totally unorganised, so we need to sort by Y..\n",
    "photo_pyz = photo[photo_t[0],1:3]\n",
    "#photo_pz = photo_pts[photo_t[0],2]\n",
    "\n",
    "photo_pyz = photo_pyz[photo_pyz[:,0].argsort()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.53772209409086591"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(subset[lidar_t[0],3])-np.mean(photo_pyz[:,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.61434466389147857"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(subset[lidar_ps,3])-np.mean(photo[:,2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting the transect\n",
    "Here we repeat the transect line plots, with the photogrammetry-derived surface integrated."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8G20+ayml/FxKuVFf0Op3tClCR1RcahVFURRFURTl7lfhhQAp5RA7wky4HWm5l3Xq1Kmi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FAAAg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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa86eb45630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16/2.51,10/2.51))\n",
    "\n",
    "plt.plot(is6holes[:,1], is6tf,\n",
    "         label='Drill holes, $\\mu$ = {0:.2f}; $\\sigma$ = {1:.2f}'.format(np.nanmean(is6tf), np.nanstd(is6tf)))\n",
    "plt.plot(subset[lidar_t[0],2], subset[lidar_t[0],3],\n",
    "         label='Airborne LiDAR, $\\mu$ = {0:.2f}; $\\sigma$ = {1:.2f}'.format(np.mean(subset[lidar_t[0],3]), np.std(subset[lidar_t[0],3])))\n",
    "plt.plot(photo_pyz[:,0], photo_pyz[:,1]+0.614,\n",
    "         label='3D photogrammetry (adjusted), $\\mu$ = {0:.2f}; $\\sigma$ = {1:.2f}'.format(np.mean(photo_pyz[:,1]+0.614), np.std(photo_pyz[:,1]+0.6)))\n",
    "plt.plot(photo_pyz[:,0], photo_pyz[:,1], ':k',\n",
    "         label='3D photogrammetry (raw), $\\mu$ = {0:.2f}; $\\sigma$ = {1:.2f}'.format(np.mean(photo_pyz[:,1]),\n",
    "                                                                               np.std(photo_pyz[:,1])))\n",
    "\n",
    "plt.legend(loc=2, bbox_to_anchor=(1,1.03))\n",
    "plt.title('Surface elevation SIPEX II ice station 6 transect line')\n",
    "plt.xlabel('Distance along transect (m)')\n",
    "plt.ylabel('Elevation (m)')\n",
    "plt.savefig('ch4_transect_surface_elev_is6.png', bbox_inches='tight')\n",
    "plt.savefig('ch4_transect_surface_elev_is6.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#snow\n",
    "zs_p, zsp_uncert = compute_zs(tf_p+0.614, s_i, sd_tfp)\n",
    "\n",
    "#this = np.where(zs_p > tf_p)\n",
    "#zs_p[this] = 0\n",
    "\n",
    "#...and ice thickness!\n",
    "zi_ps, zips_uncert = compute_zi(tf_p+0.614, zs_p, d, d_water, d_snow, sd_tfp,\n",
    "                           zsp_uncert, sd_dsnow, sd_dice, sd_dwater)\n",
    "\n",
    "# note that snow models and density were not re-defined!\n",
    "draft_ps =  tf_p+0.614 - (zi_ps + zs_p)   \n",
    "\n",
    "photo_yd = np.column_stack((photo[photo_t[0],1], draft_ps[photo_t[0]]))\n",
    "photo_yd = photo_yd[photo_yd[:,0].argsort()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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V6GGSTSUwMJC9+jU8adIkKleujKenJzVq1OCXX34x28fkyZOpXbs27u7uZGZm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BlaVFuGiorKvY4lwfws0A3wBAYavR6+810zz4hmI5gXMw8hBGvPr6VXWK8qRUhuFhcX+PDDW9+P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\nYBYRERERieD/AXioEenFLLBEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa8691aca20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16/2.51,10/2.51))\n",
    "\n",
    "plt.plot(is6holes[:,1], is6draft,\n",
    "         label=r'Drill hole, $\\mu$ = {0:.2f}; $\\sigma$ = {1:.2f}'.format(np.nanmean(is6draft), np.nanstd(is6draft)))\n",
    "plt.plot(auv[auv_t[0],1], -auv_draft[auv_t[0]], \n",
    "         label = 'Upward looking SONAR, $\\mu$ = {0:.2f}; $\\sigma$ = {1:.2f}'.format(np.mean(-auv_draft[auv_t[0]]), np.std(-auv_draft[auv_t[0]])))\n",
    "plt.plot(subset[lidar_t[0],2], draft[lidar_t[0]],\n",
    "         label='Airborne LiDAR, $\\mu$ = {0:.2f}; $\\sigma$ = {1:.2f}'.format(np.mean(draft[lidar_t[0]]), np.std(draft[lidar_t[0]])))\n",
    "plt.plot(photo_yd[:,0], photo_yd[:,1],\n",
    "         label='3D photogrammetry, $\\mu$ = {0:.2f}; $\\sigma$ = {1:.2f}'.format(np.mean(photo_yd[:,1]), np.std(photo_yd[:,1])))\n",
    "plt.legend(loc=2, bbox_to_anchor=(1,1.03))\n",
    "plt.title('Ice draft along the SIPEX II ice station 6 transect line')\n",
    "plt.xlabel('Distance along transect (m)')\n",
    "plt.ylabel('Ice draft (m)')\n",
    "plt.savefig('ch4_transect_draft_is6.png', bbox_inches='tight')\n",
    "plt.savefig('ch4_transect_draft_is6.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ...and some surface plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
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      "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/collections.py\u001b[0m in \u001b[0;36mdraw\u001b[1;34m(self, renderer)\u001b[0m\n\u001b[0;32m    322\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_linewidths\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_linestyles\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    323\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_antialiaseds\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_urls\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 324\u001b[1;33m                 self._offset_position)\n\u001b[0m\u001b[0;32m    325\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    326\u001b[0m         \u001b[0mgc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrestore\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/backends/backend_pdf.py\u001b[0m in \u001b[0;36mdraw_path_collection\u001b[1;34m(self, gc, master_transform, paths, all_transforms, offsets, offsetTrans, facecolors, edgecolors, linewidths, linestyles, antialiaseds, urls, offset_position)\u001b[0m\n\u001b[0;32m   1684\u001b[0m                 \u001b[0moffsets\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moffsetTrans\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfacecolors\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0medgecolors\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1685\u001b[0m                 \u001b[0mlinewidths\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlinestyles\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mantialiaseds\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murls\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1686\u001b[1;33m                 offset_position)\n\u001b[0m\u001b[0;32m   1687\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1688\u001b[0m         \u001b[0mpadding\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmax\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlinewidths\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/backend_bases.py\u001b[0m in \u001b[0;36mdraw_path_collection\u001b[1;34m(self, gc, master_transform, paths, all_transforms, offsets, offsetTrans, facecolors, edgecolors, linewidths, linestyles, antialiaseds, urls, offset_position)\u001b[0m\n\u001b[0;32m    310\u001b[0m             transform = transforms.Affine2D(\n\u001b[0;32m    311\u001b[0m                             transform.get_matrix()).translate(xo, yo)\n\u001b[1;32m--> 312\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdraw_path\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mgc0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtransform\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrgbFace\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    313\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    314\u001b[0m     def draw_quad_mesh(self, gc, master_transform, meshWidth, meshHeight,\n",
      "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/backends/backend_pdf.py\u001b[0m in \u001b[0;36mdraw_path\u001b[1;34m(self, gc, path, transform, rgbFace)\u001b[0m\n\u001b[0;32m   1636\u001b[0m             \u001b[0mpath\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtransform\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1637\u001b[0m             \u001b[0mrgbFace\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mgc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_hatch_path\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1638\u001b[1;33m             gc.get_sketch_params())\n\u001b[0m\u001b[0;32m   1639\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfile\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0moutput\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpaint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1640\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/backends/backend_pdf.py\u001b[0m in \u001b[0;36mwritePath\u001b[1;34m(self, path, transform, clip, sketch)\u001b[0m\n\u001b[0;32m   1442\u001b[0m         cmds = self.pathOperations(path, transform, clip, simplify=simplify,\n\u001b[0;32m   1443\u001b[0m                                    sketch=sketch)\n\u001b[1;32m-> 1444\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0moutput\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mcmds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1445\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1446\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mreserveObject\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m''\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/backends/backend_pdf.py\u001b[0m in \u001b[0;36moutput\u001b[1;34m(self, *data)\u001b[0m\n\u001b[0;32m    587\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    588\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0moutput\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 589\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfill\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mpdfRepr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    590\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mb'\\n'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    591\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/backends/backend_pdf.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m    587\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    588\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0moutput\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 589\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfill\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mpdfRepr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    590\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mb'\\n'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    591\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "Traceback (most recent call last):\n",
      "  File \"/usr/local/lib/python3.4/dist-packages/matplotlib/colors.py\", line 368, in to_rgba\n    'length of rgba sequence should be either 3 or 4')\n",
      "ValueError: length of rgba sequence should be either 3 or 4\n",
      "\nDuring handling of the above exception, another exception occurred:\n\n",
      "Traceback (most recent call last):\n",
      "  File \"/usr/local/lib/python3.4/dist-packages/matplotlib/colors.py\", line 399, in to_rgba_array\n    return np.array([self.to_rgba(c, alpha)], dtype=np.float)\n",
      "  File \"/usr/local/lib/python3.4/dist-packages/matplotlib/colors.py\", line 376, in to_rgba\n    'to_rgba: Invalid rgba arg \"%s\"\\n%s' % (str(arg), exc))\n",
      "ValueError: to_rgba: Invalid rgba arg \"[(0.88235294117647056, 0.94117647058823528, 0.96078431372549022, 0.51598342831411048), (0.68235294117647083, 0.84117647058823541, 0.89411764705882357, 0.6583580356213623), (0.68235294117647083, 0.84117647058823541, 0.89411764705882357, 0.65646022703833751), (0.70588235294117663, 0.85294117647058831, 0.90196078431372551, 0.64172820587073631), (0.72941176470588243, 0.86470588235294121, 0.90980392156862744, 0.63069721648627475), (0.69411764705882373, 0.84705882352941186, 0.89803921568627454, 0.65002873880145406), (0.67058823529411749, 0.83529411764705874, 0.8901960784313725, 0.66176366522113828), (0.65882352941176459, 0.82941176470588229, 0.88627450980392153, 0.67231492993303454), (0.72941176470588243, 0.86470588235294121, 0.90980392156862744, 0.62955994594129594), (0.74117647058823533, 0.87058823529411766, 0.9137254901960784, 0.62439035445360713), (0.67058823529411749, 0.83529411764705874, 0.8901960784313725, 0.66313980073138734), (0.69411764705882373, 0.84705882352941186, 0.89803921568627454, 0.65130225667228347), (0.67058823529411749, 0.83529411764705874, 0.8901960784313725, 0.66556607600990292), (0.67058823529411749, 0.83529411764705874, 0.8901960784313725, 0.66463183322639519), (0.65882352941176459, 0.82941176470588229, 0.88627450980392153, 0.66682189592703045), (0.61176470588235299, 0.80588235294117649, 0.87058823529411766, 0.7087432915852736), (0.64705882352941169, 0.82352941176470584, 0.88235294117647056, 0.679517853155859), (0.56470588235294139, 0.7823529411764707, 0.8549019607843138, 0.73539553540611169), (0.55294117647058805, 0.77647058823529402, 0.85098039215686272, 0.73840677402611576), (0.69411764705882373, 0.84705882352941186, 0.89803921568627454, 0.66278872691746216), (0.61176470588235299, 0.80588235294117649, 0.87058823529411766, 0.70106447214898349), (0.55294117647058805, 0.77647058823529402, 0.85098039215686272, 0.74147992208864288), (0.60000000000000009, 0.80000000000000004, 0.8666666666666667, 0.71185129879201825), (0.62352941176470589, 0.81176470588235294, 0.87450980392156863, 0.69220425129979113), (0.64705882352941169, 0.82352941176470584, 0.88235294117647056, 0.68596335516462181), (0.67058823529411749, 0.83529411764705874, 0.8901960784313725, 0.6800460587228887), (0.58823529411764719, 0.79411764705882359, 0.86274509803921573, 0.72501486695106188), (0.67058823529411749, 0.83529411764705874, 0.8901960784313725, 0.67593941621024611), (0.64705882352941169, 0.82352941176470584, 0.88235294117647056, 0.68556364839015727), (0.56470588235294139, 0.7823529411764707, 0.8549019607843138, 0.73655803173793966), (0.63529411764705879, 0.81764705882352939, 0.8784313725490196, 0.69919452636885238), (0.67058823529411749, 0.83529411764705874, 0.8901960784313725, 0.66365001757838604), (0.67058823529411749, 0.83529411764705874, 0.8901960784313725, 0.67832188424862361), (0.63529411764705879, 0.81764705882352939, 0.8784313725490196, 0.69702209161534201), (0.61176470588235299, 0.80588235294117649, 0.87058823529411766, 0.70512137048277856), (0.67058823529411749, 0.83529411764705874, 0.8901960784313725, 0.66645249680916685), (0.63529411764705879, 0.81764705882352939, 0.8784313725490196, 0.68956325504180005), (0.69411764705882373, 0.84705882352941186, 0.89803921568627454, 0.66034548682207517), (0.60000000000000009, 0.80000000000000004, 0.8666666666666667, 0.71023256234651977), (0.57647058823529429, 0.78823529411764715, 0.85882352941176476, 0.72851083990283527), (0.68235294117647083, 0.84117647058823541, 0.89411764705882357, 0.65587638379769819), (0.69411764705882373, 0.84705882352941186, 0.89803921568627454, 0.65341576619720232), (0.69411764705882373, 0.84705882352941186, 0.89803921568627454, 0.66408024720520731), (0.64705882352941169, 0.82352941176470584, 0.88235294117647056, 0.68179920028331997), (0.58823529411764719, 0.79411764705882359, 0.86274509803921573, 0.72328865232819628), (0.67058823529411749, 0.83529411764705874, 0.8901960784313725, 0.67093468227321695), (0.65882352941176459, 0.82941176470588229, 0.88627450980392153, 0.68159848882016738), (0.56470588235294139, 0.7823529411764707, 0.8549019607843138, 0.73395384507184369), (0.64705882352941169, 0.82352941176470584, 0.88235294117647056, 0.68481007554150408), (0.63529411764705879, 0.81764705882352939, 0.8784313725490196, 0.68905377231763887), (0.70588235294117663, 0.85294117647058831, 0.90196078431372551, 0.6520799333715277), (0.56470588235294139, 0.7823529411764707, 0.8549019607843138, 0.7371298524620975), (0.69411764705882373, 0.84705882352941186, 0.89803921568627454, 0.66205658728988315), (0.64705882352941169, 0.82352941176470584, 0.88235294117647056, 0.67542476526203954), (0.63529411764705879, 0.81764705882352939, 0.8784313725490196, 0.68561103985271465), (0.68235294117647083, 0.84117647058823541, 0.89411764705882357, 0.65906502351063412), (0.60000000000000009, 0.80000000000000004, 0.8666666666666667, 0.71625982131610588), (0.57647058823529429, 0.78823529411764715, 0.85882352941176476, 0.72734580690209616), (0.65882352941176459, 0.82941176470588229, 0.88627450980392153, 0.67800479960298587), (0.62352941176470589, 0.81176470588235294, 0.87450980392156863, 0.69849638000938274), (0.61176470588235299, 0.80588235294117649, 0.87058823529411766, 0.70604019852140687), (0.64705882352941169, 0.82352941176470584, 0.88235294117647056, 0.68261204520580088), (0.69411764705882373, 0.84705882352941186, 0.89803921568627454, 0.65738786328673937), (0.61176470588235299, 0.80588235294117649, 0.87058823529411766, 0.71213447262402974), (0.60000000000000009, 0.80000000000000004, 0.8666666666666667, 0.71696544985273469), (0.56470588235294139, 0.7823529411764707, 0.8549019607843138, 0.73547674688444475), (0.60000000000000009, 0.80000000000000004, 0.8666666666666667, 0.7164767971225634), (0.64705882352941169, 0.82352941176470584, 0.88235294117647056, 0.69218909644569449), (0.61176470588235299, 0.80588235294117649, 0.87058823529411766, 0.70696159474102083), (0.68235294117647083, 0.84117647058823541, 0.89411764705882357, 0.67294251216114942), (0.65882352941176459, 0.82941176470588229, 0.88627450980392153, 0.67780538027080051), (0.63529411764705879, 0.81764705882352939, 0.8784313725490196, 0.69592547476710354), (0.54117647058823515, 0.77058823529411757, 0.84705882352941175, 0.74572107898637774), (0.67058823529411749, 0.83529411764705874, 0.8901960784313725, 0.67160686282969762), (0.68235294117647083, 0.84117647058823541, 0.89411764705882357, 0.66708598866198943), (0.58823529411764719, 0.79411764705882359, 0.86274509803921573, 0.71970095051864091), (0.54117647058823515, 0.77058823529411757, 0.84705882352941175, 0.74584508516351689), (0.64705882352941169, 0.82352941176470584, 0.88235294117647056, 0.68917411202270196), (0.67058823529411749, 0.83529411764705874, 0.8901960784313725, 0.68136149532589751), (0.65882352941176459, 0.82941176470588229, 0.88627450980392153, 0.67441200371853394), (0.55294117647058805, 0.77647058823529402, 0.85098039215686272, 0.74166077833538746), (0.61176470588235299, 0.80588235294117649, 0.87058823529411766, 0.7099543404648827), (0.60000000000000009, 0.80000000000000004, 0.8666666666666667, 0.71883980114553592), (0.65882352941176459, 0.82941176470588229, 0.88627450980392153, 0.67247607771444351), (0.60000000000000009, 0.80000000000000004, 0.8666666666666667, 0.71351126465942349), (0.69411764705882373, 0.84705882352941186, 0.89803921568627454, 0.66201602256618219), (0.67058823529411749, 0.83529411764705874, 0.8901960784313725, 0.66651614536810078), (0.61176470588235299, 0.80588235294117649, 0.87058823529411766, 0.71087072068240031), (0.67058823529411749, 0.83529411764705874, 0.8901960784313725, 0.66330991297133157), (0.56470588235294139, 0.7823529411764707, 0.8549019607843138, 0.7320314117789779), (0.61176470588235299, 0.80588235294117649, 0.87058823529411766, 0.70931458703726702), (0.58823529411764719, 0.79411764705882359, 0.86274509803921573, 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