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Last active December 17, 2020 15:33
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import gdal\n",
"import pyproj\n",
"import os\n",
"import matplotlib.pyplot as plt\n",
"from scipy.interpolate import griddata"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data_dir = './'"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv(os.path.join(data_dir, 'jpl_jezero_ctx_map.txt')\n",
" ,header=None,names=['x','y','z','dn'],delim_whitespace=True)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>x</th>\n",
" <th>y</th>\n",
" <th>z</th>\n",
" <th>dn</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>710014.790199</td>\n",
" <td>3.134083e+06</td>\n",
" <td>1.087197e+06</td>\n",
" <td>137</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>710008.851740</td>\n",
" <td>3.134084e+06</td>\n",
" <td>1.087197e+06</td>\n",
" <td>136</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>710002.978052</td>\n",
" <td>3.134085e+06</td>\n",
" <td>1.087197e+06</td>\n",
" <td>134</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>709997.156018</td>\n",
" <td>3.134086e+06</td>\n",
" <td>1.087197e+06</td>\n",
" <td>132</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>709991.293572</td>\n",
" <td>3.134088e+06</td>\n",
" <td>1.087197e+06</td>\n",
" <td>130</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" x y z dn\n",
"0 710014.790199 3.134083e+06 1.087197e+06 137\n",
"1 710008.851740 3.134084e+06 1.087197e+06 136\n",
"2 710002.978052 3.134085e+06 1.087197e+06 134\n",
"3 709997.156018 3.134086e+06 1.087197e+06 132\n",
"4 709991.293572 3.134088e+06 1.087197e+06 130"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[:5]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"radius=3396190\n",
"ecef = pyproj.Proj(proj='geocent', a=radius, b=radius)\n",
"lla = pyproj.Proj(proj='longlat', a=radius, b=radius)\n",
"eqc = pyproj.Proj(proj='eqc', lat_ts=0, lat_0=0, lon_0=0, a=radius, b=radius, units='m')\n",
"x = df.x.values\n",
"y = df.y.values\n",
"z = df.z.values"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"#lons, lats, alts = pyproj.transform(ecef, lla, x,y,z)\n",
"xo, yo, alts = pyproj.transform(ecef, eqc, x,y,z)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>xo</th>\n",
" <th>yo</th>\n",
" <th>dn</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>4.578100e+06</td>\n",
" <td>1.107950e+06</td>\n",
" <td>137.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>4.578106e+06</td>\n",
" <td>1.107950e+06</td>\n",
" <td>136.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>4.578113e+06</td>\n",
" <td>1.107950e+06</td>\n",
" <td>134.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4.578119e+06</td>\n",
" <td>1.107950e+06</td>\n",
" <td>132.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4.578125e+06</td>\n",
" <td>1.107950e+06</td>\n",
" <td>130.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" xo yo dn\n",
"0 4.578100e+06 1.107950e+06 137.0\n",
"1 4.578106e+06 1.107950e+06 136.0\n",
"2 4.578113e+06 1.107950e+06 134.0\n",
"3 4.578119e+06 1.107950e+06 132.0\n",
"4 4.578125e+06 1.107950e+06 130.0"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#df = pd.DataFrame(np.vstack((lons, lats, df.dn.values)).T, columns=['longitude', 'latitude', 'dn'])\n",
"df = pd.DataFrame(np.vstack((xo, yo, df.dn.values)).T, columns=['xo', 'yo', 'dn'])\n",
"df.head(5)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"outputCSV = 'jpl_jezero_ctx_map_eqc.csv'\n",
"export_csv = df.to_csv(outputCSV, index = None, header=True)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"wkt = '''<OGRVRTDataSource>\n",
" <OGRVRTLayer name=\"jpl_jezero_ctx_map_eqc\">\n",
" <SrcDataSource>{0}</SrcDataSource>\n",
" <GeometryType>wkbPoint</GeometryType>\n",
" <GeometryField encoding=\"PointFromColumns\" x=\"xo\" y=\"yo\" z=\"dn\"/>\n",
" </OGRVRTLayer>\n",
"</OGRVRTDataSource>\n",
"'''.format(outputCSV)\n",
"\n",
"wktFile = 'jpl_jezero_ctx_map_eqc.vrt'\n",
"file = open(wktFile,'w')\n",
"file.write(wkt)\n",
"file.close()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"PROJCS[\"Equirectangular Mars 2000 Sphere IAU\",GEOGCS[\"GCS_Mars_2000_Sphere\",DATUM[\"D_Mars_2000_Sphere\",SPHEROID[\"Mars_2000_Sphere_IAU\",3396190,0]],PRIMEM[\"Reference_Meridian\",0],UNIT[\"degree\",0.0174532925199433]],PROJECTION[\"Equirectangular\"],PARAMETER[\"Latitude_Of_Origin\",0],PARAMETER[\"Central_Meridian\",0],PARAMETER[\"Standard_Parallel_1\",0],PARAMETER[\"False_Easting\",0],PARAMETER[\"False_Northing\",0],UNIT[\"Meter\",1]]\n",
"\n"
]
}
],
"source": [
"prjFile = 'Mars2000_Eqc_latTs0_lon0.prj'\n",
"prj = open(prjFile,'r')\n",
"print(prj.read())"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"5283 5007\n"
]
}
],
"source": [
"xmin, xmax, ymin, ymax = [min(df.xo), max(df.xo),\n",
" min(df.yo), max(df.yo)]\n",
"\n",
"res = 6.0 # CTX is 6 m/p\n",
"col = int((xmax - xmin) / res)\n",
"row = int((ymax - ymin) / res)\n",
"print(col, row)\n",
"\n",
"# expand extent half a pixel on all sides\n",
"# not sure this is needed?\n",
"xmin = xmin - (res/2.0) \n",
"xmax = xmax + (res/2.0)\n",
"ymin = ymin - (res/2.0) \n",
"ymax = ymax + (res/2.0)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"gdal_grid -ot Byte -zfield \"dn\" -a_srs Mars2000_Eqc_latTs0_lon0.prj -txe 4578097.135479323 4609803.329222342 -tye 1077914.9059476464 1107964.232056712 -outsize 5283 5007 -a nearest:radius1=0:radius2=0:angle=0:nodata=0 jpl_jezero_ctx_map_eqc.vrt jpl_jezero_ctx_map_eqc.tif\n"
]
}
],
"source": [
"outImage = 'jpl_jezero_ctx_map_eqc.tif'\n",
"\n",
"#options: ' -a invdist:power=2.0:smoothing=1.0 '\n",
"cmd = ('gdal_grid -ot Byte -zfield \"dn\" -a_srs Mars2000_Eqc_latTs0_lon0.prj '\n",
" ' -txe {0} {1} -tye {2} {3} -outsize {4} {5} '\n",
" ' -a nearest:radius1=0:radius2=0:angle=0:nodata=0 '\n",
" ' {6} {7}' #--config GDAL_NUM_THREADS ALL_CPUS\n",
" .format(xmin,xmax,ymin,ymax,col,row, wktFile, outImage))\n",
"print(cmd)\n",
"ret = os.system(cmd)\n",
"\n",
"#xi = np.linspace(xmin, xmax, col)\n",
"#yi = np.linspace(ymin, ymax, row)\n",
"#xi, yi = np.meshgrid(xi, yi)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"gdalwarp -tr 6 6 jpl_jezero_ctx_map_eqc.tif jpl_jezero_ctx_map_eqc_6m.tif\n"
]
}
],
"source": [
"outImage6 = 'jpl_jezero_ctx_map_eqc_6m.tif'\n",
"\n",
"#force pixel size to exactly 6m/p, \n",
"# ends up being same size as input\n",
"# This also flips the image on disk\n",
"# Note: In a GIS it was fine but on disk it was upside down\n",
"cmd = 'gdalwarp -tr 6 6 {0} {1}'.format(outImage, outImage6)\n",
"print(cmd)\n",
"ret = os.system(cmd)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"#plt.scatter(df.xo, df.yo, s=df.dn, color='gray', alpha=.5)\n",
"#plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.colorbar.Colorbar at 0x7f9093a01e80>"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"img = gdal.Open(outImage6)\n",
"inputArray = img.ReadAsArray()\n",
"#figsize(12,12)\n",
"plt.imshow(inputArray, cmap='gray')\n",
"plt.colorbar()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"# can't get this scipy interpolation method to work\n",
"\n",
"# create grid - interpolation, method options: 'nearest', 'linear', 'cubic'\n",
"#zi = griddata((df.xo, df.yo), df.dn, (xi, yi), method='nearest')\n",
"#final_array = np.asarray(np.rot90(np.transpose(zi)))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.6.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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