spaceapps2017_matches/notebooks/simulate.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook is doing a monte carlo simulation of bushfire risk using the vegetation index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:07.677612Z",
     "start_time": "2017-04-29T11:53:07.057658+08:00"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from path import Path\n",
    "import arrow\n",
    "import json\n",
    "import pytz\n",
    "from pprint import pprint\n",
    "from tqdm import tqdm_notebook as tqdm\n",
    "import re, os, collections, itertools, uuid, logging\n",
    "import tempfile\n",
    "\n",
    "import zipfile\n",
    "import urllib\n",
    "\n",
    "import ee\n",
    "import pyproj\n",
    "import numpy as np\n",
    "import scipy as sp\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "import shapely\n",
    "\n",
    "from scipy.misc import imread, imsave\n",
    "%matplotlib inline\n",
    "# %precision 4\n",
    "plt.style.use('fivethirtyeight')\n",
    "plt.rcParams['figure.figsize'] = (12, 6) # bigger plots\n",
    "sns.set_palette(\"Set2\", 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:15.566631Z",
     "start_time": "2017-04-29T11:53:07.708344+08:00"
    }
   },
   "outputs": [],
   "source": [
    "helper_dir = str(Path('.').abspath())\n",
    "if helper_dir not in os.sys.path:\n",
    "    os.sys.path.append(helper_dir)\n",
    "    \n",
    "from leak_helpers.earth_engine import display_ee, get_boundary, tifs2np, bands_s2, download_image, bands_s1, bands_l7, bands_l8\n",
    "from leak_helpers.visualization import imshow_bands"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:15.578561Z",
     "start_time": "2017-04-29T11:53:15.568181+08:00"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pixels 113.33333333333333 113.33333333333333\n"
     ]
    }
   ],
   "source": [
    "# init\n",
    "crs_grid = 3857 # projected wgs84\n",
    "# if the satelite's note included in the metadata jsut add it\n",
    "\n",
    "resolution_min=30 # 30m min\n",
    "distance=1700\n",
    "pixel_length=int(distance/resolution_min)\n",
    "\n",
    "# black saturday\n",
    "time = arrow.get('2009-02-06')\n",
    "point = shapely.geometry.Point(145.3408333333,-37.5327777778) # Kingslake, where some black sat fire started\n",
    "# point = shapely.geometry.Point(116.7413748,-31.8739154) # york, WA, AY\n",
    "\n",
    "# time = arrow.get('2015-02-08')\n",
    "# point = shapely.geometry.Point(115.833333,-31.933333) # perth\n",
    "\n",
    "\n",
    "point = shapely.geometry.Point(116.0258274,-31.767647)\n",
    "name = 'bridagadoon'\n",
    "\n",
    "pixels=2.0*distance/resolution_min\n",
    "print('pixels',pixels,pixels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-27T09:29:39.428275Z",
     "start_time": "2017-04-27T17:29:39.425120+08:00"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:18.903000Z",
     "start_time": "2017-04-29T11:53:18.901029+08:00"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# uid = uuid.uuid4().hex\n",
    "# temp_dir = cache_dir = Path(tempfile.mkdtemp())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:19.121488Z",
     "start_time": "2017-04-29T11:53:19.118661+08:00"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ts = time.utcnow().format('YYYYMMDD-HHmmss')\n",
    "folder_name = '{name:}_{time:}'.format(name=name,time=ts)\n",
    "# image_folder = Path('../images/').joinpath(folder_name)\n",
    "# image_folder.makedirs_p()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# download image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:19.851763Z",
     "start_time": "2017-04-29T11:53:19.837106+08:00"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import ee\n",
    "ee.Initialize() # should give no errors, if so follow instructions\n",
    "\n",
    "# get boundary to crop/search image with\n",
    "coords = np.array(point.xy)[:, 0].tolist()\n",
    "geom = ee.Geometry.Point(coords)\n",
    "bound = ee.Geometry.buffer(geometry=geom, distance=distance)\n",
    "boundary = bound.bounds()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## vegetation index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:20.772422Z",
     "start_time": "2017-04-29T11:53:20.770216+08:00"
    }
   },
   "outputs": [],
   "source": [
    "satellite='LANDSAT/LC8_L1T_ANNUAL_EVI'\n",
    "bands=bands_l8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:27.136005Z",
     "start_time": "2017-04-29T11:53:21.129234+08:00"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ee.image.Image at 0x7f700f42def0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# search for image\n",
    "sentinel2_before = ee.ImageCollection(satellite)\\\n",
    "    .filterBounds(boundary)\\\n",
    "    .sort('system:time_start', opt_ascending=False) # first will be latest\n",
    "assert sentinel2_before.size().getInfo()>0,'oh no, no image results'\n",
    "image = ee.Image(sentinel2_before.first()).clip(boundary)\n",
    "info = image.getInfo()\n",
    "image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:32.500171Z",
     "start_time": "2017-04-29T11:53:27.137481+08:00"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "download?docid=d707d50a168cb5a7211254c48: 49.2KB [00:02, 17.7KB/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(Path('../images/bridagadoon_20170429-035319_3857_30'),\n",
       " ['2017.EVI.tfw', '2017.EVI.tif'])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path,files=download_image(\n",
    "    image, \n",
    "    scale=resolution_min, \n",
    "    crs=crs_grid, \n",
    "#     name=arrow.now().format('YYYYMMDD-HH-mm-ss'),\n",
    "    report=True,\n",
    "    cache_dir=Path('../images'),\n",
    "    name=folder_name\n",
    ")\n",
    "path, files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:33.852099Z",
     "start_time": "2017-04-29T11:53:32.501434+08:00"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f700e5160f0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7055dfa8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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oPnhXhe/7xONxbNtWQUTYVB0u83NdVy0I1DRNBTVhNuTee+9VQUo8Hsf3fVUq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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f700ebcb0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# view\n",
    "X = tifs2np(path, files, bands=['EVI'])\n",
    "for i in range(X.shape[0]):\n",
    "    x=X[i]\n",
    "    X[i]=(x-x.min())/(x.max()-x.min())\n",
    "imshow_bands(X, labels=['EVI'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:33.859809Z",
     "start_time": "2017-04-29T11:53:33.853807+08:00"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 1.0, array([[ 0.66792721,  0.59451181,  0.57091498, ...,  0.71972948,\n",
       "          0.67379487,  0.63638115],\n",
       "        [ 0.68652916,  0.65028214,  0.62409121, ...,  0.72823453,\n",
       "          0.69836932,  0.66261804],\n",
       "        [ 0.68652916,  0.65028214,  0.62409121, ...,  0.72823453,\n",
       "          0.69836932,  0.66261804],\n",
       "        ..., \n",
       "        [ 0.74347419,  0.74212247,  0.74279177, ...,  0.75549227,\n",
       "          0.73361009,  0.73411673],\n",
       "        [ 0.74347419,  0.74212247,  0.74279177, ...,  0.75549227,\n",
       "          0.73361009,  0.73411673],\n",
       "        [ 0.        ,  0.73959708,  0.74278408, ...,  0.70226532,\n",
       "          0.67600071,  0.72799039]], dtype=float32))"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.min(),X.max(),X[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# download normal bands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:33.870869Z",
     "start_time": "2017-04-29T11:53:33.861523+08:00"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "satellite='LANDSAT/LC8_L1T_TOA'\n",
    "bands=bands_l8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:38.267257Z",
     "start_time": "2017-04-29T11:53:33.872181+08:00"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ee.image.Image at 0x7f700c191240>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# search for image\n",
    "sentinel2_before = ee.ImageCollection(satellite)\\\n",
    "    .filterBounds(boundary)\\\n",
    "    .sort('system:time_start', opt_ascending=False) # first will be latest\n",
    "assert sentinel2_before.size().getInfo()>0,'oh no, no image results'\n",
    "image = ee.Image(sentinel2_before.first()).clip(boundary)\n",
    "info = image.getInfo()\n",
    "image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:43.752313Z",
     "start_time": "2017-04-29T11:53:38.268990+08:00"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "download?docid=caa686dc18239846f4602ef4d: 393KB [00:03, 126KB/s]  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(Path('../images/bridagadoon_20170429-035319_3857_30'),\n",
       " ['2017.EVI.tfw',\n",
       "  '2017.EVI.tif',\n",
       "  'LC81120822017114LGN00.B1.tfw',\n",
       "  'LC81120822017114LGN00.B1.tif',\n",
       "  'LC81120822017114LGN00.B10.tfw',\n",
       "  'LC81120822017114LGN00.B10.tif',\n",
       "  'LC81120822017114LGN00.B11.tfw',\n",
       "  'LC81120822017114LGN00.B11.tif',\n",
       "  'LC81120822017114LGN00.B2.tfw',\n",
       "  'LC81120822017114LGN00.B2.tif',\n",
       "  'LC81120822017114LGN00.B3.tfw',\n",
       "  'LC81120822017114LGN00.B3.tif',\n",
       "  'LC81120822017114LGN00.B4.tfw',\n",
       "  'LC81120822017114LGN00.B4.tif',\n",
       "  'LC81120822017114LGN00.B5.tfw',\n",
       "  'LC81120822017114LGN00.B5.tif',\n",
       "  'LC81120822017114LGN00.B6.tfw',\n",
       "  'LC81120822017114LGN00.B6.tif',\n",
       "  'LC81120822017114LGN00.B7.tfw',\n",
       "  'LC81120822017114LGN00.B7.tif',\n",
       "  'LC81120822017114LGN00.B8.tfw',\n",
       "  'LC81120822017114LGN00.B8.tif',\n",
       "  'LC81120822017114LGN00.B9.tfw',\n",
       "  'LC81120822017114LGN00.B9.tif',\n",
       "  'LC81120822017114LGN00.BQA.tfw',\n",
       "  'LC81120822017114LGN00.BQA.tif'])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path,files=download_image(\n",
    "    image, \n",
    "    scale=resolution_min, \n",
    "    crs=crs_grid, \n",
    "#     name=arrow.now().format('YYYYMMDD-HH-mm-ss'),\n",
    "    report=True,\n",
    "    cache_dir=Path('../images'),\n",
    "    name=folder_name\n",
    ")\n",
    "path,files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:45.370304Z",
     "start_time": "2017-04-29T11:53:43.753471+08:00"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f7003e5e358>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f70516c5b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Fc6Ty8MADD2Dfvn144IEH5LWa9wa68PsEcSwK+5YsWXLEhd/9/f2H9GZdcskl8Hg8R7QO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\nf3Qp43g/4cgPAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f700c1dc780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# view\n",
    "X = tifs2np(path, files, bands=bands_l8)\n",
    "imshow_bands(X, labels=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:45.438765Z",
     "start_time": "2017-04-29T11:53:45.371518+08:00"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-1.0 1.0 (135, 134)\n",
      "0.0 1.0\n",
      "../images/bridagadoon_20170429-035319_3857_30/2017.EVI.png\n",
      "-inf 0.304139 (135, 134)\n",
      "nan nan\n",
      "../images/bridagadoon_20170429-035319_3857_30/LC81120822017114LGN00.B1.png\n",
      "-inf 300.193 (135, 134)\n",
      "nan nan\n",
      "../images/bridagadoon_20170429-035319_3857_30/LC81120822017114LGN00.B10.png\n",
      "-inf 298.52 (135, 134)\n",
      "nan nan\n",
      "../images/bridagadoon_20170429-035319_3857_30/LC81120822017114LGN00.B11.png\n",
      "-inf 0.328687 (135, 134)\n",
      "nan nan\n",
      "../images/bridagadoon_20170429-035319_3857_30/LC81120822017114LGN00.B2.png\n",
      "-inf 0.33967 (135, 134)\n",
      "nan nan\n",
      "../images/bridagadoon_20170429-035319_3857_30/LC81120822017114LGN00.B3.png\n",
      "-inf 0.379451 (135, 134)\n",
      "nan nan\n",
      "../images/bridagadoon_20170429-035319_3857_30/LC81120822017114LGN00.B4.png\n",
      "-inf 0.55544 (135, 134)\n",
      "nan nan\n",
      "../images/bridagadoon_20170429-035319_3857_30/LC81120822017114LGN00.B5.png\n",
      "-inf 0.537419 (135, 134)\n",
      "nan nan\n",
      "../images/bridagadoon_20170429-035319_3857_30/LC81120822017114LGN00.B6.png\n",
      "-inf 0.443441 (135, 134)\n",
      "nan nan\n",
      "../images/bridagadoon_20170429-035319_3857_30/LC81120822017114LGN00.B7.png\n",
      "-inf 0.454117 (135, 134)\n",
      "nan nan\n",
      "../images/bridagadoon_20170429-035319_3857_30/LC81120822017114LGN00.B8.png\n",
      "-inf 0.00241407 (135, 134)\n",
      "nan nan\n",
      "../images/bridagadoon_20170429-035319_3857_30/LC81120822017114LGN00.B9.png\n",
      "0 53248 (135, 134)\n",
      "0.0 0.999999999998\n",
      "../images/bridagadoon_20170429-035319_3857_30/LC81120822017114LGN00.BQA.png\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/isisilon/.pyenv/versions/3.6.0/envs/jupyter3/lib/python3.6/site-packages/ipykernel_launcher.py:10: RuntimeWarning: invalid value encountered in subtract\n",
      "  # Remove the CWD from sys.path while we load stuff.\n",
      "/home/isisilon/.pyenv/versions/3.6.0/envs/jupyter3/lib/python3.6/site-packages/ipykernel_launcher.py:10: RuntimeWarning: invalid value encountered in true_divide\n",
      "  # Remove the CWD from sys.path while we load stuff.\n",
      "/home/isisilon/.pyenv/versions/3.6.0/envs/jupyter3/lib/python3.6/site-packages/matplotlib/colors.py:821: UserWarning: Warning: converting a masked element to nan.\n",
      "  dtype = np.min_scalar_type(value)\n",
      "/home/isisilon/.pyenv/versions/3.6.0/envs/jupyter3/lib/python3.6/site-packages/numpy/ma/core.py:2766: UserWarning: Warning: converting a masked element to nan.\n",
      "  order=order, subok=True, ndmin=ndmin)\n"
     ]
    }
   ],
   "source": [
    "# convert to png and normalise to 0-1\n",
    "for file in path.glob('*.tif'):\n",
    "    if not file.endswith('tif'): continue\n",
    "    impath = file\n",
    "    impath_out = impath.replace('.tif','.png')\n",
    "#     X = plt.imread(impath)\n",
    "    X = imread(impath)\n",
    "    print(X.min(),X.max(),X.shape)\n",
    "    # normalise it\n",
    "    X=(X-X.min())/(X.max()-X.min()+1e-7)\n",
    "    print(X.min(),X.max())\n",
    "    plt.imsave(impath_out,X,format='png')\n",
    "    print(impath_out)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:45.700308Z",
     "start_time": "2017-04-29T11:53:45.440522+08:00"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3, 135, 134)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/isisilon/.pyenv/versions/3.6.0/envs/jupyter3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: invalid value encountered in subtract\n",
      "  after removing the cwd from sys.path.\n",
      "/home/isisilon/.pyenv/versions/3.6.0/envs/jupyter3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: invalid value encountered in true_divide\n",
      "  after removing the cwd from sys.path.\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAF+CAYAAABknaboAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAIBh/wVTEDmpdi9zjAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7003c0cc50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# view rgb\n",
    "X = tifs2np(path, files, bands=bands_l8[1:4])\n",
    "print(X.shape)\n",
    "X=(X-X.min())/(X.max()-X.min())\n",
    "X=np.transpose(X,(1,2,0))\n",
    "X=X[:,:,::-1] # BGR to RGB\n",
    "plt.imshow(X)\n",
    "plt.imsave(path.joinpath('visual.png'),X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# height"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:45.703362Z",
     "start_time": "2017-04-29T11:53:45.701558+08:00"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# download elevation\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:47.808322Z",
     "start_time": "2017-04-29T11:53:45.704507+08:00"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ee.image.Image at 0x7f7003df5b38>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# search for image\n",
    "image = ee.Image('USGS/SRTMGL1_003').clip(boundary)\n",
    "info = image.getInfo()\n",
    "image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:53.110952Z",
     "start_time": "2017-04-29T11:53:47.809771+08:00"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "download?docid=8a62686259ca27856a3194e7a: 16.4KB [00:03, 5.43KB/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(Path('../images/bridagadoon_20170429-035319_3857_30'),\n",
       " ['LC81120822017114LGN00.B4.tfw',\n",
       "  '2017.EVI.png',\n",
       "  '2017.EVI.tfw',\n",
       "  '2017.EVI.tif',\n",
       "  'LC81120822017114LGN00.B1.png',\n",
       "  'LC81120822017114LGN00.B1.tfw',\n",
       "  'LC81120822017114LGN00.B1.tif',\n",
       "  'LC81120822017114LGN00.B10.png',\n",
       "  'LC81120822017114LGN00.B10.tfw',\n",
       "  'LC81120822017114LGN00.B10.tif',\n",
       "  'LC81120822017114LGN00.B11.png',\n",
       "  'LC81120822017114LGN00.B11.tfw',\n",
       "  'LC81120822017114LGN00.B11.tif',\n",
       "  'LC81120822017114LGN00.B2.png',\n",
       "  'LC81120822017114LGN00.B2.tfw',\n",
       "  'LC81120822017114LGN00.B2.tif',\n",
       "  'LC81120822017114LGN00.B3.png',\n",
       "  'LC81120822017114LGN00.B3.tfw',\n",
       "  'LC81120822017114LGN00.B3.tif',\n",
       "  'LC81120822017114LGN00.B4.png',\n",
       "  'LC81120822017114LGN00.B4.tif',\n",
       "  'LC81120822017114LGN00.B5.png',\n",
       "  'LC81120822017114LGN00.B5.tfw',\n",
       "  'LC81120822017114LGN00.B5.tif',\n",
       "  'LC81120822017114LGN00.B6.png',\n",
       "  'LC81120822017114LGN00.B6.tfw',\n",
       "  'LC81120822017114LGN00.B6.tif',\n",
       "  'LC81120822017114LGN00.B7.png',\n",
       "  'LC81120822017114LGN00.B7.tfw',\n",
       "  'LC81120822017114LGN00.B7.tif',\n",
       "  'LC81120822017114LGN00.B8.png',\n",
       "  'LC81120822017114LGN00.B8.tfw',\n",
       "  'LC81120822017114LGN00.B8.tif',\n",
       "  'LC81120822017114LGN00.B9.png',\n",
       "  'LC81120822017114LGN00.B9.tfw',\n",
       "  'LC81120822017114LGN00.B9.tif',\n",
       "  'LC81120822017114LGN00.BQA.png',\n",
       "  'LC81120822017114LGN00.BQA.tfw',\n",
       "  'LC81120822017114LGN00.BQA.tif',\n",
       "  'SRTMGL1_003.elevation.tfw',\n",
       "  'SRTMGL1_003.elevation.tif',\n",
       "  'visual.png'])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path,files=download_image(\n",
    "    image, \n",
    "    scale=resolution_min, \n",
    "    crs=crs_grid, \n",
    "#     name=arrow.now().format('YYYYMMDD-HH-mm-ss'),\n",
    "    report=True,\n",
    "    cache_dir=Path('../images'),\n",
    "    name=folder_name\n",
    ")\n",
    "path,files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:53.211736Z",
     "start_time": "2017-04-29T11:53:53.112206+08:00"
    }
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'PIL' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-21-c255d4f2ef62>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;31m# http://stackoverflow.com/a/7248480\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0melev_file\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mglob\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'*SRTMGL1_003.elevation.tif'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mPIL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0melev_file\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'I'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1.\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m256\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'L'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'PIL' is not defined"
     ]
    }
   ],
   "source": [
    "# this is a 16 bit tiff which PIL can't read, so work around (which I tested vs imagemagic)\n",
    "# http://stackoverflow.com/a/7248480\n",
    "elev_file = path.glob('*SRTMGL1_003.elevation.tif')[0]\n",
    "im=PIL.Image.open(elev_file)\n",
    "im.mode='I'\n",
    "im.point(lambda i:i*(1./256)).convert('L')\n",
    "im.save(elev_file)\n",
    "X=np.array(im)/resolution_min\n",
    "outfile=elev_file.replace('.tif','_pixel_units.tif')\n",
    "imsave(outfile,X)\n",
    "imsave(outfile.replace('.tif','.png'),X)\n",
    "outfile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:53.212251Z",
     "start_time": "2017-04-29T03:53:25.442Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# view\n",
    "X = tifs2np(path, files, bands=['elevation'])\n",
    "imshow_bands(X, labels=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:53.212778Z",
     "start_time": "2017-04-29T03:53:25.620Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X.min(),X.max(),X[0],X[:,0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-27T02:37:26.517156Z",
     "start_time": "2017-04-27T10:37:26.513029+08:00"
    }
   },
   "source": [
    "## convert to png and normalise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:53.213280Z",
     "start_time": "2017-04-29T03:53:26.267Z"
    },
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# this van be the var images = ... in index.html\n",
    "[str(p).replace('../','') for p in path.glob('*.png')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:53.213827Z",
     "start_time": "2017-04-29T03:53:26.519Z"
    }
   },
   "outputs": [],
   "source": [
    "# make sure they are the same size with cropping, grr this should happen\n",
    "sizes = [imread(f).shape for f in path.glob('*.png')]\n",
    "size = np.array(sizes).min(0)\n",
    "sizes, size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:53.214315Z",
     "start_time": "2017-04-29T03:53:26.770Z"
    }
   },
   "outputs": [],
   "source": [
    "for f in path.glob('*.png'):\n",
    "    X = imread(f)\n",
    "    X2=X[:size[0],:size[1]]\n",
    "    plt.imsave(f,X2)    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:53.214857Z",
     "start_time": "2017-04-29T03:53:26.986Z"
    }
   },
   "outputs": [],
   "source": [
    "path"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-28T06:13:17.962134Z",
     "start_time": "2017-04-28T14:13:17.960060+08:00"
    }
   },
   "source": [
    "# work out image bounds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:53.215444Z",
     "start_time": "2017-04-29T03:53:27.669Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X = imread(path.glob('*.tif')[0])\n",
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:53.216146Z",
     "start_time": "2017-04-29T03:53:27.848Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# import tfw\n",
    "path_tfw = path.glob('*tfw')[0]\n",
    "s=open(path_tfw).read()\n",
    "rx,a,b,ry,x0,y0 = [float(f) for f in s.split()]\n",
    "transform = (rx, a, x0, b, ry,  y0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:53.216743Z",
     "start_time": "2017-04-29T03:53:28.028Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# make into box\n",
    "import shapely\n",
    "box = shapely.geometry.box(\n",
    "    minx=x0,\n",
    "    miny=y0,\n",
    "    maxx=x0+rx*X.shape[0],\n",
    "    maxy=y0+ry*X.shape[1],\n",
    ")\n",
    "box"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:53.217391Z",
     "start_time": "2017-04-29T03:53:28.136Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# work out image bounds in wgs84\n",
    "image_bounds = np.array(box.exterior)\n",
    "\n",
    "p0 = pyproj.Proj(init='epsg:%s'%crs_grid)\n",
    "p1 = pyproj.Proj(init='epsg:%s'%4326)\n",
    "image_bounds_wgs84 = np.array(pyproj.transform(p0,p1,image_bounds[:,0],image_bounds[:,1])).T\n",
    "image_bounds_wgs84\n",
    "\n",
    "# bounds=np.array([image_bounds_wgs84.max(0),image_bounds_wgs84.min(0)]).tolist()\n",
    "bounds=np.array([image_bounds_wgs84.min(0)[::-1],image_bounds_wgs84.max(0)[::-1]]).tolist()\n",
    "bounds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-28T06:13:42.442120Z",
     "start_time": "2017-04-28T14:13:42.439084+08:00"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# export metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:53.218090Z",
     "start_time": "2017-04-29T03:53:28.639Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "metadata = dict(\n",
    "    resolution_min = resolution_min,\n",
    "    crs_grid = crs_grid,\n",
    "    distance=distance,\n",
    "    time = time.for_json(),\n",
    "    point = np.array(point)[::-1].tolist(),\n",
    "    bounds=bounds\n",
    ")\n",
    "outfile = path.joinpath('metadata.js')\n",
    "metadata_json=json.dumps(metadata)\n",
    "open(outfile,'w').write('var metadata='+metadata_json)\n",
    "outfile,metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-29T03:53:53.218723Z",
     "start_time": "2017-04-29T03:53:28.890Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bounds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-28T06:17:35.108478Z",
     "start_time": "2017-04-28T14:17:35.105382+08:00"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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