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@m9brady
Created April 6, 2021 21:00
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Convert MODGRNLD NetCDF data to something QGIS will understand
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{
"cells": [
{
"cell_type": "markdown",
"id": "upset-situation",
"metadata": {},
"source": [
"Establish the version of gdal we're using"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "victorian-upgrade",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"GDAL 3.0.2, released 2019/10/28\n"
]
}
],
"source": [
"!gdalinfo --version"
]
},
{
"cell_type": "markdown",
"id": "dynamic-warehouse",
"metadata": {},
"source": [
"Let's have a look at the Albedo metadata"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "continued-bargain",
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Albedo#Add_Offset=0\n",
" Albedo#data_date=2019-12-31\n",
" Albedo#data_day_of_year=2019-365\n",
" Albedo#data_time=01:05:00.00\n",
" Albedo#FillValue=255\n",
" Albedo#Key=0-100=snow albedo, 101=no_decision, 111=night, 125=land, 137=inland water, 139=ocean, 150=cloud, 151=cloud detected as snow, 250=missing, 251=self_shadowing, 252=landmask mismatch, 253=BRDF_failure, 254=non-production_mask\n",
" Albedo#long_name=Snow albedo of the corresponding snow cover observation\n",
" Albedo#Pixel_Size=781.25\n",
" Albedo#PROJECTION_FALSE_EASTING=0\n",
" Albedo#PROJECTION_FALSE_NORTHING=0\n",
" Albedo#PROJECTION_GRID_MAPPING_NAME=polar stereographic\n",
" Albedo#PROJECTION_LATITUDE_OF_PROJECTION_ORIGIN=90\n",
" Albedo#PROJECTION_LONGITUDE_OF_PROJECTION_ORIGIN=-45\n",
" Albedo#PROJECTION_SCALING_FACTOR=1\n",
" Albedo#PROJECTION_SEMIMAJOR_RADIUS=6378273\n",
" Albedo#PROJECTION_SEMIMINOR_RADIUS=6356889.5\n",
" Albedo#PROJECTION_STANDARD_PARALLEL=70\n",
" Albedo#PROJECTION_STRAIGHT_VERTICAL_LONGITUDE_FROM_POLE=135\n",
" Albedo#PROJECTION_UNITS=meters\n",
" Albedo#Proj_lr_xy={887500,-3387500}\n",
" Albedo#Proj_Params={6378273,6356889.5,0,0,-45,70,0,0,0,0,0,0,0,0,0}\n",
" Albedo#Proj_Type=PS\n",
" Albedo#Proj_ul_xy={-675000,-575000}\n",
" Albedo#rules=Daily Average\n",
" Albedo#Scale_Factor=1\n",
" Albedo#short_name=MOD10A1_Albedo\n",
" Albedo#units=None\n",
" Albedo#Valid_Range=0 to 100\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Warning 1: Recode from UTF-8 to CP_ACP failed with the error: \"Invalid argument\".\n",
"Warning 1: No UNIDATA NC_GLOBAL:Conventions attribute\n",
"Warning 1: No 1D variable is indexed by dimension time\n"
]
}
],
"source": [
"!gdalinfo NETCDF:\"MODGRNLD.2019365.0105.swath.v01.1.nc\":Albedo | grep Albedo#"
]
},
{
"cell_type": "markdown",
"id": "changing-publicity",
"metadata": {},
"source": [
"With the information from above and the NSIDC documentation (https://nsidc.org/data/MODGRNLD/versions/1) we can extract the Albedo band and wrangle it into its proper coordinate reference system"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "domestic-roller",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Input file size is 2000, 3600"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Warning 1: Recode from UTF-8 to CP_ACP failed with the error: \"Invalid argument\".\n",
"Warning 1: No UNIDATA NC_GLOBAL:Conventions attribute\n",
"Warning 1: No 1D variable is indexed by dimension time\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"!gdal_translate \\\n",
" -of GTiff \\\n",
" -ot Byte \\\n",
" -a_ullr -675000 -3387500 887500 -575000 \\\n",
" -a_srs EPSG:3411 \\\n",
" -a_nodata 255 \\\n",
" -co \"COMPRESS=DEFLATE\" \\\n",
" -co \"TILED=YES\" \\\n",
" -co \"BLOCKXSIZE=256\" \\\n",
" -co \"BLOCKYSIZE=256\" \\\n",
" NETCDF:\"MODGRNLD.2019365.0105.swath.v01.1.nc\":Albedo \\\n",
" MODGRNLD.2019365.0105.swath.v01.1.Albedo.tif"
]
},
{
"cell_type": "markdown",
"id": "apparent-johnston",
"metadata": {},
"source": [
"How big is the geotiff compared to the netcdf we started with?"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "guided-implement",
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"232K\tMODGRNLD.2019365.0105.swath.v01.1.nc\n",
"72K\tMODGRNLD.2019365.0105.swath.v01.1.Albedo.tif\n"
]
}
],
"source": [
"!du MODGRNLD.2019365.0105.swath.v01.1.nc -sh\n",
"!du MODGRNLD.2019365.0105.swath.v01.1.Albedo.tif -sh"
]
},
{
"cell_type": "markdown",
"id": "current-coast",
"metadata": {},
"source": [
"Not too shabby! Let's have a look at our GeoTIFF"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "hollywood-collection",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"using geopandas v0.8.1\n",
"using rasterio v1.1.0\n"
]
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"import rasterio as rio\n",
"from rasterio.plot import show\n",
"import geopandas as gpd\n",
"print('using geopandas v%s' % gpd.__version__)\n",
"print('using rasterio v%s' % rio.__version__)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "exclusive-honey",
"metadata": {},
"outputs": [],
"source": [
"ds = rio.open('MODGRNLD.2019365.0105.swath.v01.1.Albedo.tif')\n",
"natearth = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres')).to_crs(ds.crs)\n",
"grnlnd = natearth.loc[natearth.name == 'Greenland']"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "second-terrorism",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 792x648 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(11,9))\n",
"grnlnd.plot(ax=ax, facecolor='None', edgecolor='black', alpha=0.4)\n",
"show(ds, ax=ax, zorder=-1)\n",
"ax.set_ylim(bottom=-3387500, top=-2000000);"
]
},
{
"cell_type": "markdown",
"id": "dietary-amateur",
"metadata": {},
"source": [
"Pretty decent alignment! ***NB: the lowres natural earth vectors are ~1:110m scale so don't expect perfect match***"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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