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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib notebook\n",
"import logging\n",
"logging.basicConfig(level=logging.INFO)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from sentinelloader import Sentinel2Loader"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from time import time\n",
"logger = logging.getLogger('sentinelloader')\n",
"\n",
"class Timer:\n",
" def __init__(self, name, debug=True):\n",
" self._name = name\n",
" self._debug = debug\n",
" self.start()\n",
" self._lastElapsed = None\n",
" \n",
" def start(self):\n",
" self._start = time()\n",
" if(self._debug):\n",
" logger.info('> [started] ' + self._name + '...')\n",
"\n",
" def stop(self):\n",
" self._lastElapsed = (time()-self._start)\n",
" if(self._debug):\n",
" logger.info('> [done] {} ({:.3f} ms)'.format(self._name, self._lastElapsed*1000))\n",
" \n",
" def elapsed(self):\n",
" if(self._lastElapsed != None):\n",
" return (self._lastElapsed)\n",
" else:\n",
" return (time()-self._start)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.patches as mpatches\n",
"from osgeo import gdal, osr\n",
"import cartopy.crs as ccrs\n",
"import numpy as np\n",
"\n",
"def showGeoTiffs(geoTiffFiles, geometries=None, labels=None, cols=4, size=6, cmap=None, cmap_min=None, cmap_max=None, interpolation=None, legendHandles=None, group_by_label=False, name='image', output_dir=None, transformData=None):\n",
" \"\"\"geometries - list of geoseries from GeoPandas\n",
" labels - list os strings\n",
" getTiffFiles - list of tiff file paths\n",
" \"\"\"\n",
" logger.info('showing ' + str(len(geoTiffFiles)) + ' images')\n",
" fig = plt.figure()\n",
" rows = int(len(geoTiffFiles)/cols)+1\n",
" t = Timer('generating image patches. rows=' + str(rows) + '; cols=' + str(cols))\n",
" fig.set_size_inches(cols*size, rows*size)\n",
"\n",
" image_indexes = range(len(geoTiffFiles))\n",
"\n",
" #order indexes by label\n",
" if(group_by_label==True and image_labels!=None):\n",
" index_label_map = []\n",
" for i,label in enumerate(image_labels):\n",
" index_label_map.append((i,label))\n",
" label_image_map = np.array(index_label_map, dtype=[('index',int),('label',int)])\n",
" label_image_map = np.sort(label_image_map, order='label')\n",
" image_indexes = []\n",
" for a in label_image_map:\n",
" image_indexes.append(a[0])\n",
"\n",
" c = 0\n",
" for i in image_indexes:\n",
" ds = gdal.Open(geoTiffFiles[i])\n",
" data = ds.ReadAsArray()\n",
" gt = ds.GetGeoTransform()\n",
" proj = ds.GetProjection()\n",
"\n",
" inproj = osr.SpatialReference()\n",
" inproj.ImportFromWkt(proj)\n",
"\n",
" projcs = inproj.GetAuthorityCode('PROJCS')\n",
" projection = ccrs.epsg(projcs)\n",
"\n",
" ax = fig.add_subplot(rows,cols,c+1, projection=projection)\n",
"\n",
" extent = (gt[0], gt[0] + ds.RasterXSize * gt[1],\n",
" gt[3] + ds.RasterYSize * gt[5], gt[3])\n",
"\n",
" \n",
" #seems like this data has multiple channels and the channels area indexed from the first position. invert it\n",
" if data.shape[0]<5:\n",
" data = data[:3, :, :].transpose((1, 2, 0))\n",
" else:\n",
" if transformData!=None:\n",
" data = transformData(data)\n",
"\n",
" if data.dtype in [np.uint8, np.uint16, np.uint32]:\n",
" if cmap_min==None:\n",
" cmap_min = np.iinfo(data.dtype).min\n",
" if cmap_max==None:\n",
" cmap_max = np.iinfo(data.dtype).max\n",
"# if(cmap==None):\n",
"# data = data.astype('uint8')\n",
" \n",
" ax.imshow(data, alpha=1.0, transform=projection, extent=extent, cmap=cmap, vmin=cmap_min, vmax=cmap_max, interpolation=interpolation, origin='upper')\n",
" if legendHandles!=None:\n",
" ax.legend(handles=legendHandles, bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
"\n",
" if(geometries!=None):\n",
" df_epsg = geometries[i].to_crs(epsg=ax.projection.epsg_code)\n",
" df_epsg.plot(ax=ax, facecolor='none', edgecolor='black', linestyle='--', linewidth=2)\n",
" \n",
" if(labels!=None):\n",
" ax.text(0.5, 0, str(labels[i]), horizontalalignment='center', verticalalignment='bottom', transform=ax.transAxes, fontsize=14, style='normal', color='red')\n",
"\n",
" c = c + 1\n",
" \n",
" if(output_dir!=None):\n",
" f = output_dir + name + '.jpg'\n",
" plt.savefig(f)\n",
" plt.close(fig)\n",
" else:\n",
" plt.show()\n",
" \n",
" t.stop()\n",
"\n",
"def sclColors():\n",
" colors = ['black','red','dimgray','brown','green','yellow','blue','dimgray','darkgray','lightgray','skyblue','magenta']\n",
" return colors\n",
"\n",
"def sclLegendPatches():\n",
" colors = sclColors()\n",
" labels = ['no data','defective','dark area','cloud shadows','vegetation','not vegetated','water','unclassified','cloud medium prob','cloud high prob','thin cirrus','snow']\n",
" patches = [ mpatches.Patch(color=colors[i], label=labels[i]) for i in range(11) ]\n",
" return patches\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:sentinelloader:Getting region history for band TCI from 2019-04-01 to 2019-04-10 at 60m\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"POLYGON ((-47.35158920288085 -17.1711347155859, -47.33948707580565 -17.18958491683871, -47.31279373168944 -17.19270076947659, -47.30704307556153 -17.1755629313982, -47.30584144592285 -17.16818251295647, -47.3060131072998 -17.15227261218487, -47.33167648315429 -17.15497903179392, -47.35158920288085 -17.1711347155859))\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:sentinelloader:showing 2 images\n",
"INFO:sentinelloader:> [started] generating image patches. rows=1; cols=10...\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 3600x360 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:sentinelloader:> [done] generating image patches. rows=1; cols=10 (821.675 ms)\n"
]
}
],
"source": [
"%matplotlib inline\n",
"import logging\n",
"import os\n",
"from osgeo import gdal\n",
"import matplotlib as mpl\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib import rcParams\n",
"import math\n",
"import geopandas as gpd\n",
"from cartopy.io.shapereader import Reader\n",
"from cartopy.feature import ShapelyFeature\n",
"from cartopy.io.shapereader import Reader\n",
"from descartes import PolygonPatch\n",
"import fiona\n",
"from pprint import pprint\n",
"import re\n",
"\n",
"logging.basicConfig(level=logging.INFO)\n",
"\n",
"sl = Sentinel2Loader('/notebooks/data/output/sentinelcache', \n",
" os.environ['COPERNICUS_USER'], os.environ['COPERNICUS_PASSWORD'],\n",
" apiUrl='https://scihub.copernicus.eu/apihub/', showProgressbars=True, cloudCoverage=(0,100))\n",
"\n",
"\n",
"\n",
"df = gpd.read_file(\"/notebooks/layers/POLYGON.shp\")\n",
"df.crs = {'init' :'epsg:4326'}\n",
"\n",
"coords = df['geometry'][0]\n",
"\n",
"\n",
"\n",
"d1 = '2019-04-01'\n",
"d2 = '2019-04-10'\n",
"\n",
"\n",
"\n",
"print(coords)\n",
"geoTiffs = sl.getRegionHistory(coords, 'TCI', '60m', d1, d2, daysStep=5)\n",
"\n",
"geometries = []\n",
"labels = []\n",
"for geoTiff in geoTiffs:\n",
" geometries.append(df)\n",
" d = re.search('[0-9]{4}-[0-9]{2}-[0-9]{2}', geoTiff)\n",
" labels.append(d.group(0))\n",
"\n",
"showGeoTiffs(geoTiffs, geometries=geometries, labels=labels, cols=10, size=5,)\n",
"\n",
"for geoTiff in geoTiffs:\n",
" os.remove(geoTiff)\n",
"\n",
"plt.show()"
]
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