{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Assess the impact of atmosphere on offset time-seris\n", "\n", "Run the following to prepare the datasets in HDF5/MintPy format for this notebook:\n", "\n", "```bash\n", "prep_gim_tec.ipynb # calc SUB/JPH TEC\n", "iono_tec.py timeseriesRg.h5 -g inputs/geometryRadar.h5 # calc JPL/COD TEC\n", "offset_timeseries.py -t ChileSenAT149.txt --plot # calc SAR, SET and ERA5\n", "```" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Go to directory /Users/yunjunz/data/geolocation/ChileSenAT149/offset_comp/boxLR\n" ] } ], "source": [ "%matplotlib inline\n", "import os\n", "import datetime as dt\n", "import numpy as np\n", "from scipy import stats\n", "from matplotlib import pyplot as plt, ticker\n", "from mintpy.objects import timeseries\n", "from mintpy.utils import ptime, readfile, utils as ut, plot as pp\n", "from mintpy import tsview\n", "from ipynb.fs.full import utils\n", "figsize_ts = [9, 2.5]\n", "figsize_dot = [2.5, 2.5]\n", "\n", "# config\n", "n = 3 # number of med abs dev\n", "save = True\n", "\n", "# location of interest\n", "#lalo = [-21.29, -69.58]; box_suffix = 'boxCL' # box in the center left with low altitude; box = (10, 55, 20, 70) for SenAT149\n", "lalo = [-21.30, -67.39]; box_suffix = 'boxLR' # box in the lower right with high altitude; box = (200, 15, 215, 30) for SenAT149\n", "\n", "# dir\n", "proj_dir = os.path.expanduser('~/data/geolocation/ChileSenAT149')\n", "#proj_dir = os.path.expanduser('~/data/geolocation/ChileSenDT156')\n", "#proj_dir = os.path.expanduser('~/data/geolocation/KyushuAlos2DT23'); lalo = None; box_suffix = None\n", "\n", "proj_name = os.path.basename(proj_dir)\n", "work_dir = os.path.join(proj_dir, 'offset_comp')\n", "if box_suffix is not None:\n", " work_dir = os.path.join(work_dir, box_suffix)\n", "os.chdir(work_dir)\n", "print('Go to directory', work_dir)\n", "\n", "# matplotlib setup\n", "plt.rcParams.update({'font.size': 12})\n", "if proj_name == 'ChileSenDT156':\n", " plt.rcParams.update({'lines.linewidth': 1.5})\n", "else:\n", " plt.rcParams.update({'lines.linewidth': 3.0})" ] }, { "cell_type": "markdown", "metadata": { "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ "### 0. Read all time-series" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "local solar time: 2015-06-24 18:30:54.120635\n", "read data from file: /Users/yunjunz/data/geolocation/ChileSenAT149/mintpy_offset/timeseriesRg.h5\n", "read data from file: /Users/yunjunz/data/geolocation/ChileSenAT149/mintpy_offset/inputs/TECjhr.h5\n", "read data from file: /Users/yunjunz/data/geolocation/ChileSenAT149/mintpy_offset/inputs/TECjlr.h5\n", "read data from file: /Users/yunjunz/data/geolocation/ChileSenAT149/mintpy_offset/inputs/TECclr.h5\n", "read data from file: /Users/yunjunz/data/geolocation/ChileSenAT149/mintpy_offset/inputs/SET.h5\n", "read data from file: /Users/yunjunz/data/geolocation/ChileSenAT149/mintpy_offset/inputs/ERA5.h5\n" ] } ], "source": [ "# data files\n", "geom_file = os.path.join(proj_dir, 'mintpy_offset/inputs/geometryRadar.h5')\n", "mask_file = os.path.join(proj_dir, 'mintpy_offset/maskResInv.h5')\n", "sar_file = os.path.join(proj_dir, 'mintpy_offset/timeseriesRg.h5') # timeseriesRg_S1Bias.h5 for subTEC\n", "era_file = os.path.join(proj_dir, 'mintpy_offset/inputs/ERA5.h5')\n", "set_file = os.path.join(proj_dir, 'mintpy_offset/inputs/SET.h5')\n", "tec_files = [\n", " # opt 1 - used TEC [choose ONE ONLY]\n", " os.path.join(proj_dir, 'mintpy_offset/inputs/TECjhr.h5'),\n", " #os.path.join(proj_dir, 'mintpy_offset/inputs/TECsub.h5'),\n", " # opt 2 - as background comparison\n", " os.path.join(proj_dir, 'mintpy_offset/inputs/TECjlr.h5'),\n", " os.path.join(proj_dir, 'mintpy_offset/inputs/TECclr.h5'),\n", "]\n", "\n", "fnames = [sar_file] + tec_files + [set_file, era_file]\n", "dnames = ['SAR'] + [os.path.splitext(os.path.basename(i))[0] for i in fnames[1:]]\n", "\n", "# date info\n", "date_list = timeseries(sar_file).get_date_list()\n", "num_date = len(date_list)\n", "\n", "# local solar time\n", "atr = readfile.read_attribute(sar_file)\n", "utc_time = dt.datetime.fromisoformat(atr['startUTC'])\n", "longitude = (float(atr['LON_REF1']) + float(atr['LON_REF2'])) / 2\n", "solar_time = ptime.utc2solar_time(utc_time, longitude)\n", "print('local solar time: {}'.format(solar_time))\n", "\n", "# lalo --> box\n", "if lalo is None:\n", " box = None\n", "else:\n", " coord = ut.coordinate(atr, lookup_file=geom_file)\n", " y, x = coord.geo2radar(lalo[0], lalo[1])[:2]\n", " win = 10\n", " box = (x-win, y-win, x+win+1, y+win+1)\n", "\n", "# read data files into iDict\n", "iDict = {}\n", "for fname, dname in zip(fnames, dnames):\n", " if not os.path.isfile(fname):\n", " next\n", " else:\n", " print('read data from file: {}'.format(fname))\n", " ts_data = readfile.read(fname, box=box)[0].reshape(num_date, -1)\n", " # mask\n", " if dname == 'SAR':\n", " ## reference in time\n", " #ts_data -= np.tile(ts_data[ref_ind, :].reshape(1, -1), (ts_data.shape[0], 1))\n", " # mask out unreliable SAR offset, including \n", " # 1. pixels not inverted, thus with default zero value\n", " # 2. pixels inverted, but unreliable due to large inversion residual\n", " mask = readfile.read(mask_file, box=box)[0].flatten()\n", " ts_data[:, mask==0] = np.nan\n", " else:\n", " # mask out invalid pixels\n", " ts_data[ts_data == 0] = np.nan\n", " iDict[dname] = {}\n", " iDict[dname]['data'] = ts_data\n", " iDict[dname]['med'] = np.nanmedian(ts_data, axis=-1)\n", " iDict[dname]['mad'] = ut.median_abs_deviation(ts_data)\n", "\n", "# maskout anomaly date of 2015-04-02 for Sentinel-1 desc track 156\n", "mask_anomaly = True\n", "if mask_anomaly and proj_name == 'ChileSenDT156':\n", " ex_dates = ['20150402']\n", " print('Ignore anomaly dates: {}'.format(ex_dates))\n", " flag = [i in ex_dates for i in date_list]\n", " for dname in iDict.keys():\n", " iDict[dname]['med'][flag] = np.nan" ] }, { "cell_type": "markdown", "metadata": { "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ "### 1. SAR vs. TEC" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Min/max:\n", " SAR : -70.9 / 27.6 cm\n", " TECclr: -32.8 / 12.0 cm\n", " TECjlr: -31.3 / 9.8 cm\n", " TECjhr: -55.3 / 20.8 cm\n", "RMSE:\n", " SAR : 20.2 cm\n", " SAR - TECclr: 22.8 cm\n", " SAR - TECjlr: 20.7 cm\n", " SAR - TECjhr: 8.7 cm\n", "save figure to file /Users/yunjunz/data/geolocation/ChileSenAT149/offset_comp/boxLR/TS_SAR_vs_TECjhr.pdf\n", "$R^2$ = 0.91\n", "$RMSE$ = 8.7 cm\n", "\n", "save figure to file /Users/yunjunz/data/geolocation/ChileSenAT149/offset_comp/boxLR/DOT_SAR_vs_TECjhr.pdf\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "### Read Data\n", "x1 = ptime.date_list2vector(date_list)[0]\n", "# dset 1: SAR\n", "y1 = np.array(iDict[dnames[0]]['med'])\n", "y1e = np.array(iDict[dnames[0]]['mad']) * n\n", "# dset 2: JHR/SUB TEC\n", "y2 = np.array(iDict[dnames[1]]['med']) * -1\n", "y2e = np.array(iDict[dnames[1]]['mad']) * n\n", "# dset 3: JLR TEC\n", "y3 = np.array(iDict[dnames[2]]['med']) * -1\n", "y3e = np.array(iDict[dnames[2]]['mad']) * n\n", "# dset 4: CLR TEC\n", "y4 = np.array(iDict[dnames[3]]['med']) * -1\n", "y4e = np.array(iDict[dnames[3]]['mad']) * n\n", "# align other data to SAR with a constant\n", "y1 -= np.nanmedian(y1)\n", "y2 -= np.nanmedian(y2 - y1)\n", "y3 -= np.nanmedian(y3 - y1)\n", "y4 -= np.nanmedian(y4 - y1)\n", "print('Min/max:')\n", "print(f' {dnames[0]:<6}: {np.min(y1*100):.1f} / {np.max(y1*100):.1f} cm')\n", "print(f' {dnames[3]:<6}: {np.min(y4*100):.1f} / {np.max(y4*100):.1f} cm')\n", "print(f' {dnames[2]:<6}: {np.min(y3*100):.1f} / {np.max(y3*100):.1f} cm')\n", "print(f' {dnames[1]:<6}: {np.min(y2*100):.1f} / {np.max(y2*100):.1f} cm')\n", "\n", "# RMSE\n", "print('RMSE:')\n", "rmse = ut.root_mean_sq_error(y1); print(' SAR : {:.1f} cm'.format(rmse*100))\n", "rmse = ut.root_mean_sq_error(y1, y4); print(' SAR - {}: {:.1f} cm'.format(dnames[3], rmse*100))\n", "rmse = ut.root_mean_sq_error(y1, y3); print(' SAR - {}: {:.1f} cm'.format(dnames[2], rmse*100))\n", "rmse = ut.root_mean_sq_error(y1, y2); print(' SAR - {}: {:.1f} cm'.format(dnames[1], rmse*100))\n", "\n", "### Figure 1 - TS\n", "if proj_name == 'ChileSenAT149':\n", " vstep = 0.4; ylim = [-0.8, 0.4]; loc = 'lower right'; xlim = [dt.datetime(2015, 5, 1), dt.datetime(2020, 5, 1)]\n", "elif proj_name == 'ChileSenDT156':\n", " vstep = 0.4; ylim = [-0.4, 0.8]; loc = 'best'; xlim = None\n", "elif proj_name == 'KyushuAlos2DT23':\n", " vstep = 6; ylim = [-12, 3]; loc = 'best'; xlim = None\n", "mks = ['-.',':', '-', '--']\n", "cs = ['0.2', '0.6', 'C0', 'C1']\n", "\n", "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=figsize_ts)\n", "ps = []\n", "for i, (y, ye, c, m) in enumerate(zip([y4, y3, y1, y2], [y4e, y3e, y1e, y2e], cs, mks)):\n", " flag = ~np.isnan(y)\n", " y = np.array(y)[flag]\n", " ye = np.array(ye)[flag]\n", " x = np.array(x1)[flag]\n", " p0 = ax.fill_between(x, y-ye, y+ye, fc=c, ec='none', alpha=0.2)\n", " kwargs = dict(linewidth=1.5) if i == 0 else dict(linewidth=4.0) if i == 1 else dict()\n", " p1, = ax.plot(x, y, m, color=c, ms=4, **kwargs)\n", " ps.append((p0, p1))\n", "# axis format\n", "utils.adjust_ts_axis_format(ax, x=x1, vstep=vstep, xlim=xlim, ylim=ylim, ylabel=None)\n", "labels = ['GIM$_\\mathrm{{{}}}$'.format(dnames[3].replace('TEC','').upper()),\n", " 'GIM$_\\mathrm{{{}}}$'.format(dnames[2].replace('TEC','').upper()),\n", " 'GIM$_\\mathrm{{{}}}$'.format(dnames[1].replace('TEC','').upper())]\n", "xname = labels[-1]\n", "ax.legend(handles=ps, labels=[labels[-3], labels[-2], 'SAR', labels[-1]], loc=loc, ncol=len(ps), handlelength=2.5)\n", "# output\n", "out_fig = os.path.join(work_dir, 'TS_SAR_vs_{}.pdf'.format(dnames[1]))\n", "print('save figure to file', out_fig)\n", "plt.savefig(out_fig, bbox_inches='tight', transparent=True, dpi=300)\n", "\n", "### Figure 2 - DOT\n", "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=figsize_dot)\n", "utils.plot_dot_figure(ax, x=y1, y=y2, vlim=ylim, vstep=vstep)\n", "#fig.tight_layout()\n", "ax.set_xlabel('{} [m]'.format('SAR'), color='k')\n", "ax.set_ylabel('{} [m]'.format(xname), color='k', labelpad=None)\n", "# output\n", "out_fig = os.path.join(work_dir, 'DOT_SAR_vs_{}.pdf'.format(dnames[1]))\n", "print('save figure to file', out_fig) \n", "plt.savefig(out_fig, bbox_inches='tight', transparent=True, dpi=300)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ "### 2. SAR - TEC vs. SET" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "save figure to file /Users/yunjunz/data/geolocation/ChileSenAT149/offset_comp/boxLR/TS_SAR_TECjhr_vs_SET.pdf\n", "$R^2$ = 0.64\n", "$RMSE$ = 7.1 cm\n", "\n", "save figure to file /Users/yunjunz/data/geolocation/ChileSenAT149/offset_comp/boxLR/DOT_SAR_TECjhr_vs_SET.pdf\n" ] }, { "data": { "image/png": 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "### Read Data\n", "x1 = ptime.date_list2vector(date_list)[0]\n", "# dset 1: SAR - TEC\n", "y1 = np.array(iDict['SAR']['med'])\n", "y1 -= np.array(iDict[dnames[1]]['med']) * -1\n", "y1e = (iDict['SAR']['mad']**2 + iDict[dnames[1]]['mad']**2) ** 0.5 * n\n", "# dset 2: SET\n", "y2 = np.array(iDict['SET']['med'])\n", "y2e = np.array(iDict['SET']['mad']) * n\n", "# align all data with a constant\n", "y1 -= np.nanmedian(y1)\n", "y2 -= np.nanmedian(y2 - y1)\n", "\n", "### Figure 1 - TS\n", "if proj_name == 'ChileSenAT149':\n", " vstep = 0.3; ylim = [-0.3, 0.3]; loc = 'lower right'; xlim = [dt.datetime(2015, 5, 1), dt.datetime(2020, 5, 1)]\n", "elif proj_name == 'ChileSenDT156':\n", " vstep = 0.4; ylim = [-0.4, 0.4]; loc = 'best'; xlim = None\n", "elif proj_name == 'KyushuAlos2DT23':\n", " vstep = 2; ylim = [-2, 2]; loc = 'best'; xlim = None\n", "\n", "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=figsize_ts)\n", "ps = []\n", "for i, (y, ye, c, m) in enumerate(zip([y1, y2], [y1e, y2e], ['C0', 'C1'], ['-', '--'])):\n", " flag = ~np.isnan(y)\n", " y = np.array(y)[flag]\n", " ye = np.array(ye)[flag]\n", " x = np.array(x1)[flag]\n", " p0 = ax.fill_between(x, y-ye, y+ye, fc=c, ec='none', alpha=0.2)\n", " p1, = ax.plot(x, y, m, color=c, ms=4)\n", " ps.append((p0, p1))\n", "# axis format\n", "utils.adjust_ts_axis_format(ax, x=x1, vstep=vstep, xlim=xlim, ylim=ylim, ylabel=None)\n", "xname = 'SAR - GIM$_\\mathrm{{{}}}$'.format(dnames[1][-3:].upper())\n", "ax.legend(labels=[xname, 'SET'], handles=ps, loc=loc, ncol=len(ps))\n", "#fig.tight_layout()\n", "# output\n", "out_fig = os.path.join(work_dir, 'TS_SAR_{}_vs_SET.pdf'.format(dnames[1]))\n", "print('save figure to file', out_fig)\n", "plt.savefig(out_fig, bbox_inches='tight', transparent=True, dpi=300)\n", "\n", "### Figure 2 - DOT\n", "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=figsize_dot)\n", "utils.plot_dot_figure(ax, x=y1, y=y2, vlim=ylim, vstep=vstep)\n", "#fig.tight_layout()\n", "ax.set_xlabel('{} [m]'.format(xname), color='k')\n", "ax.set_ylabel('{} [m]'.format('SET'), color='k', labelpad=-4)\n", "# output\n", "out_fig = os.path.join(work_dir, 'DOT_SAR_{}_vs_SET.pdf'.format(dnames[1]))\n", "print('save figure to file', out_fig)\n", "plt.savefig(out_fig, bbox_inches='tight', transparent=True, dpi=300)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ "### 3. SAR - TEC - SET vs. ERA5" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "peak to valley variation: 0.4 m\n", "save figure to file /Users/yunjunz/data/geolocation/ChileSenAT149/offset_comp/boxLR/TS_SAR_TECjhr_SET_vs_ERA5.pdf\n", "$R^2$ = 0.09\n", "$RMSE$ = 7.8 cm\n", "\n", "save figure to file /Users/yunjunz/data/geolocation/ChileSenAT149/offset_comp/boxLR/DOT_SAR_TECjhr_SET_vs_ERA5.pdf\n" ] }, { "data": { "image/png": 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "### Read Data\n", "# dset 1: SAR - TEC\n", "x1 = ptime.date_list2vector(date_list)[0]\n", "y1 = np.array(iDict['SAR']['med'])\n", "y1 -= np.array(iDict[dnames[1]]['med']) * -1\n", "y1 -= np.array(iDict['SET']['med'])\n", "y1e = (iDict['SAR']['mad']**2 + iDict[dnames[1]]['mad']**2 + iDict['SET']['mad']**2) ** 0.5 * n\n", "# dset 2: ERA5\n", "y2 = np.array(iDict['ERA5']['med'])\n", "y2e = np.array(iDict['ERA5']['mad']) * n\n", "# align all data with a constant\n", "y1 -= np.nanmedian(y1)\n", "y2 -= np.nanmedian(y2 - y1)\n", "print('peak to valley variation: {:.1f} m'.format(np.nanmax(y1 - y2) - np.nanmin(y1 - y2)))\n", "\n", "### Figure 1 - TS\n", "if proj_name == 'ChileSenAT149':\n", " vstep = 0.3; ylim = [-0.3, 0.3]; loc = 'best'; xlim = [dt.datetime(2015, 5, 1), dt.datetime(2020, 5, 1)]\n", "elif proj_name == 'ChileSenDT156':\n", " vstep = 0.4; ylim = [-0.4, 0.4]; loc = 'best'; xlim = None\n", "elif proj_name == 'KyushuAlos2DT23':\n", " vstep = 2; ylim = [-2, 2]; loc = 'best'; xlim = None\n", "\n", "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=figsize_ts)\n", "ps = []\n", "for i, (y, ye, c, m) in enumerate(zip([y1, y2], [y1e, y2e], ['C0', 'C1'], ['-', '--'])):\n", " flag = ~np.isnan(y)\n", " y = np.array(y)[flag]\n", " ye = np.array(ye)[flag]\n", " x = np.array(x1)[flag]\n", " p0 = ax.fill_between(x, y-ye, y+ye, fc=c, ec='none', alpha=0.2)\n", " p1, = ax.plot(x, y, m, color=c, ms=4)\n", " ps.append((p0, p1))\n", "# axis format\n", "utils.adjust_ts_axis_format(ax, x=x1, vstep=vstep, xlim=xlim, ylim=ylim, ylabel=None)\n", "xname = 'SAR - GIM$_\\mathrm{{{}}}$ - SET'.format(dnames[1][-3:].upper())\n", "ax.legend(labels=[xname, 'ERA5'], handles=ps, loc=loc, ncol=len(ps))\n", "# plot S1A/B divider\n", "if proj_name == 'ChileSenAT149' and not tec_files[0].endswith('TECsub.h5'):\n", " ax.axvline(x=dt.datetime(2016,10,7), linestyle='--', color='k', lw=1.5) # S1A / S1B\n", " ax.annotate('S1A S1B', xy=(dt.datetime(2016,6,1), 0.18))\n", "#fig.tight_layout()\n", "# output\n", "out_fig = os.path.join(work_dir, 'TS_SAR_{}_SET_vs_ERA5.pdf'.format(dnames[1]))\n", "print('save figure to file', out_fig)\n", "plt.savefig(out_fig, bbox_inches='tight', transparent=True, dpi=300)\n", "\n", "### Figure 2 - DOT\n", "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=figsize_dot)\n", "utils.plot_dot_figure(ax, x=y1, y=y2, vlim=ylim, vstep=vstep)\n", "#fig.tight_layout()\n", "ax.set_xlabel('{} [m]'.format(xname), color='k')\n", "ax.set_ylabel('{} [m]'.format('ERA5'), color='k', labelpad=-4)\n", "# output\n", "out_fig = os.path.join(work_dir, 'DOT_SAR_{}_SET_vs_ERA5.pdf'.format(dnames[1]))\n", "print('save figure to file', out_fig)\n", "plt.savefig(out_fig, bbox_inches='tight', transparent=True, dpi=300)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ "### 4. Plot AOI" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "save figure to file: /Users/yunjunz/Papers/2021_Geolocation/figs_src/AOI/loc_japan.pdf\n", "save figure to file: /Users/yunjunz/Papers/2021_Geolocation/figs_src/AOI/loc_chile.pdf\n" ] }, { "data": { "image/png": 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\n", 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kPZOeng4nJ8M3KL28vGBtba01C4FWvyJCSA8fH61PhlaFtkOaAwcO4P33m52wMkZycjKysrKeW0MLBAI4Ojri999/R2VlJSilWLp0KdhsNuRyuVG7ae3bt4dCodAaYqNVbJVK5Wour0ym0PTe69mzJ65evQpjvGF1pbCwELdv38bMmTO1xoXn5uZi3bp1+Oijj9C+fXuj4sY4HA6srKxsCCFsTQnym3tns1vj3rI2NB3sJCUlYcqUKWax4fjx45gyZUqzCQA6d+6M2bNnY/Xq1ejevbvR4/J4vPrKCU2iUWxCCItt7mBqBtDkhy6TycyyT15QUABKqc7vXw8PD3Tq1Ak//mh0dA/s7OwItIit7TFua2tr23o3lfVk5cqVcPs2ANbsxl8GNdcWZR8zE2j4n//8B8uX63QI1QCPx8PixYuNHrtt27ZsPK2D0iTaHuNt7ew0Xtdq0fTacXBwaFJoAGApmPNstba2hpWVlV7XjBgxAn/++afRY9vb2xv2GAdg1xpPuprD0tKyyR0zW1vzbO8bEpDg7e3NiJOlMXe2tY2NzUtX98vHxwd5eXktMrZQKASfz9f7uhfzuRmKpaUlC4DGx4o2MSVPnjxpHZnn9aCmpkbvxyhTnDt3Dm+++abe16nVakZClGpra1UANCaO0SZ2TXV19Usndl5eHjw9PQ2+Pi0tDUlJSQZdm5+fj44dO+p9XW5uLrp06WLQmM9SXV2txtNidE2ibTZeLRaLX65FNp7mbNE0SVNzbZucjKm5T9/narUax48fR0BAAOLj4zFs2DAQQmBpaYkOHTqgPpCxtLQUR44cQV1dHdhsNlgsFvr3729wlaHKykqjtkrrqa6uVuFp9cEm0Sa2VCqVvnRia6N+eRUbG4uwsDA8G4V65swZ3Lp1C2PGjEHv3r2RnZ2Ne/fugRACmUyGn376Ce7u7pg6dSp2796NBQsWwMHBAWq1GiqVCp9++ilmzpxpkF0PHjyASCRCr169YGdnhytXrmDAgAF676gZfGdTSmmHDh1eurqUurz7vL29kZmZ2VCL5PLly8jIyMDKlSsb2nTp0qXRozU2NhZXr16Fr68vHB2fOtuyWCxwOBxEREQgPj4eXbp0gb6rmEmTJjU4SVZVVUEmkyEpKQmLFy/Wa7/879euQXc25HK5Uq1WmzTXF5NIJBKdvDXbt2+P0tJS9OjRA2KxGJcvX9Yp1fTgwYPx+eefNxks6O7ujmXLlmHPnj347LPP9LKby+WiZ8+ez9U+efDgAc6dO4epU6fq3I9YLFYB0Oi9qFVsLpdbUFBQ4N4SUSCG8Ouvv6JXr17NtnN3d8fx48dx69Yt1NXVaQ02eBZ/f38sXLhQ45efz+fDwsICIpGo4c43FBcXF1RW6l4sSC6Xo66uTqItMkTrLatUKtOysrL0MLHlKCsrw08//fSc/5kmnJycEBkZieXLl2P16tU6B/2xWCyMGzdOa5sPP/wQ8fHxRrsv19bW6jXhS05OBoBH2tpoFbu8vPz6nTt3FDqP2ILU1NSge/fuekeAFBQUGLVUexE+n49Jkybhyy+/NCoTVH35Cl1JSkqCTCb7Q1ub5u7su6mpqS0b66ojXl5eePToUZM+aNo4e/Ys3n6b2UI8vr6+mD9/PtatW2dwAEBlZSUcHHTLgiWXy5Gdna2urKy8rq1dczOvu2lpaS/NyZeVlZXe61WhUGiSQq3u7u5YsGABoqOjcfHiRb0zIltZWeHatWsIDQ3FmTNntLY9fPgwHBwcqv4u7K4RrRM0SqnY1dVVJpVKGS9LbAo4HI7Oj3GRSITDhw8zsnOlCQ8PD6xfvx5Xr17Fnj17IBKJEBYWptPkzd3dHbNnzwaPx8OxY8c0tlMqlSguLkZubq4SgFYnO13Cf5JfjKVqreiyxr579y6io6Nx8OBBjBs3DuPHjzepTSwWCwMHDkRYWBiWLVuGLVu2NKSx1gYhBF26dEFmZqbWFcbRo0cxZMgQEEKyNLkjNdjS3KClpaVHT548+VK8t5u7qy9duoTz589j6dKlWLhwoVnrbANA27ZtsXz5csTGxuL6da2v1wauX7+OgICAJn8mk8mQnp6OvLw8xePHj5uNMGhWbLVafSkpKan1h1RAs0tSPcnJyVi4cKHJ65Row8HBAWvXrkVpaSnCwsJw9epVjW3rZ+Oajj+9vb3x5ptvIjExsUoikWh/sUMHsSmlTyQSSblQKGyuaYtjaWmpNYEepdSk6ah1hRCCd999F19//TVu3rypMbHOiRMnNJaXBp4m05s0aRJycnIUlNJmUyjqtA8ql8uPHDt2zHR5JxmiR48eWsNz6+rqoFC0nm0DFouFUaNGNYovr+fatWs4cOAAysrKGv3s3LlzsLe3x4ULF0AIuajTeLo0EolEu+Pi4qp0aduSXLx4EZ07d27yZ0qlEk5OTowmnzMWSil2797dZPCCWq0Gn8/H0KFDm3ztXLlyBTNmzMC2bdtEJSUlOuVD00lsSmnx48eP79+9e1eX5i1CUVEROnTooPEghMPhtKq7GgD27duHkJCQJpe1169fh7+/P8RicZOeN/b29vDx8cGNGzeqAejkGqvzcVZFRcXmnTt3Gp4ewMQ4OTmhoqJCa5u2bdsaleGASXJzcxsKxr6ISqXCyZMnMWTIECgUClhbP5/p+/Hjx3BwcMC+ffvktbW1u3Qtyayz2HK5/OTRo0dlre3uqMfS0rLZpZdcLjdJQlxDOHfuHMaMGdPo87q6OsTGxmLKlClITU1tspD8iRMnMHXqVCQkJIjFYvFeXcfUWWxKqZxS+vOxY8da7fZpcwcHUqkU7doZXUTHaHJyciAWi5vcSduyZQtGjx4NuVyOs2fPYtSo51OlUEpRWlqK0tJSSCSSDEqp9sfZM+hV14sQ4ubl5ZWWnZ3t1NocGu7fv4+ff/4ZH3zwgcY2u3btwqBBg9C1a1czWvY8crkcc+bMwbRp0yAQCODt7Y3S0lKkpKTg5s2bGDBgAMrKyqBUKjFnzpxGZ+eXL1+GtbU1Nm3aJLp69epblNKbuo6tl2KU0uInT56cPHz4cKtzV0pNTdUaHFdYWAgfHx+cPHnSjFY1zaBBg2BnZ4eioiLs2rWrfvmE6OhoVFZWwtXVFfPmzWskdHV1NS5evAhHR0c8fPgwQx+hAQMq9hFC2nXq1CkjNzfXqTXF/a1evRpz585tcrdJKpUiIiICwcHBGDZsGIwpd2EqKKWIj4+Hr6+vRt/zjRs34osvvsDo0aNFKSkpQymlt/UZQ+9nMaW0VCqVHj1w4ECrurtra2s11hvZu3cvlixZgrfeeqtVCg0A33zzDdzc3DQKfeHCBQwePBh3795FQUHBDX2FBgwsCFNWVvbl6tWrK81Vca855HI5VCpVk2tslUoFsVjc4imotXHq1Cnw+XyNJ3BSqRTXrl3D2LFjsWjRIlFJSYlBVWsNEptSWv7kyZOYVatWtYpFa35+Pjp16tToc4VCgQ0bNmDSpEktYJVu3LlzB/n5+RqFzs/PR1xcHJYtW4aEhIQ6oVB4hFJq0O6WwVPqysrKrQcPHswzdy3spigoKGhyGbNnzx6MHTtW4xZqS1NYWIijR49qrNIrk8kQFBSEvLw8UEoRFRUlLCsrW2roeAaLTSlVl5WVTZw6daqoJTdaKKU4dOhQk16lYrFY66lRSyIUCrFjxw6sWLFC4xHmG2+8AeCpg8KHH374uLKy8iNKqf4V3//GqMUypTSrsrJyV1RUlMEGGItUKgWPx2u0fywSiXR22DM3hYWFiI2NxapVqzTu5V++fBmPHj3Co0ePsH//fkVubu5ZuVx+wZhxjd4ZKS8vX7tz584CXT0vmMbW1hZqtbpR3s/4+HiTuxwZwv3797FkyRJQSrFrV9OludLS0vD+++/j8OHDUCqV+Pzzz4WlpaXzjB3baLEppQqhUDhy/PjxQqZqTurLjBkzkJKS8txnlpaWBgXGmxKpVIo9e/Zg48aN2LRpE9RqNaZPn/5c5EdNTQ2Cg4OxY8cOjBw5EsHBwSKRSDSGUtq841ozMLLnSSl9JBKJPggODq5siaSwHA6nkUvSa6+91mIZGDRx/vx5jB07Fq+99hoIIfDz80NoaCgWL16M3NxcAMDmzZuxdetWzJ07F+PHj68SCoVLFArFDSbGZ2yDWyaTJRcWFkbPmDFDbM5CpyqVChs2bMDAgQMbPqt3P9Lm32VupFIpUlNTn6tcFBISgqCgICQkJGDbtm04ffo0goODER4ejtWrV0vS0tIOVlVVfc+UDYyeZlRWVsYmJyef27x5s2kqqWrAxcUFAoGg4f+5ubkoKSnBxIkTzWmGVuLj4zFvXtOvXTabjdLSUpSUlGDcuHE4dOiQ8ptvvkkXCoWLmLSBUbEppVQoFE7dsmVLyvbt280iOJvNbuQvfvz4cXzyySdGF1thitTUVPD5/CYLttfnL+3bty9WrVqFo0ePKhctWpQjFAqDm/MD1xfGzykppfLy8vIRUVFRZhO8Y8eODamnFQoF8vPz4ebmZo6hdeL777/H9OnTm/zZ/v370b59e2zfvh2JiYnK0NDQnPLy8gFMTMhexCSH0pTSOnMKPn36dJw+fbrh/zwer9X4m50+fRq//vprk06Dly5dApvNRnx8PH766SeTCg2YSGzgecFjYmJqNU3aYmJijC6Wbmdnh5qaGlBKweVyMXLkSGzcuNGoPpng1KlTmDVrFn7++efnPler1fj222/x+PFjLF26FD/88IPJhQYMOM/WewBCLJydnQ8MHz78rW+//db+xfdoXV0dLCwsjK6st3PnTvTq1QsdO3aEWq3GZ599hpiYmBY90nRzc0NKSkrDiVt5eTkuXLiAzMxMzJkzB7169cLy5cuf7N+//5ZQKBxFKTVpmJXJxQYAQghxdHRc4u7uvurMmTN8U7xPp02bhvXr1zdMyv766y+kp6fj448/ZnwsXUhLS8O8efMwYsQI2NraQqlUwtnZGRMnToS3tzdqamrw3nvvVWVmZn4rFAqX6lI41VjM8rX/29U11tra+mZAQMDBxMREZ10r5eqKnZ3dcxVru3Xrhu+//x6pqanw9/dndCxdKC0txcSJE9GnT59GfnHZ2dl45513RCKRaFFVVdVBc9lkVq9BmUyWXFxcHDhmzJjsyMhIKVOTKLFY3CjZnZWVFd577z2N3ium5u2334ZAIHjO51utViMhIaFu8ODBBfn5+cPNKTRgZrEBgFKaJxQKu+/cufPrbt26iZg4Dy8rK0O3bt0avffT09NbNCjgxx9/bMgEkZubi8DAwMp169Z9LxQKfRQKRbq57WkRf+C/D08icnJyBo4aNep2eHh4jTEuTomJiY2c6TMyMiAQCAxKHGssdXV1SEhIwOLFixEUFISvvvpKNmjQoIe3bt16p6ysbI4xZ9LG0KLO35TSrLKysp779u1b6+PjU/7dd98pm4uxfpHi4mLk5OTgxSpFe/fuRWBgIJPm6kR6ejo2bdqE6dOng8/nUz8/v4rt27cnlJWV+SiVypY5B/4bs8zGdYEQInBxcVlnY2MzISoqymHy5MlsXQIRYmJi4O/vDz+//6soXFVVhd27d8PPzw8hISGmNBvA0y3PlJQUJCcnw8fHBx06dMCyZcsqHj9+nFxaWrqMUppvciN0oNWIXQ8hxMXFxSWqbdu2727YsIE/btw41rOz7GfZtGkTLl68iL17nw93mj17NsLDw5/7AjANpRRZWVlITk6GTCbDwIEDYWFhgZUrV1ZUVFT8VlJSspRS2rh8YAvS6sSuhxDi1q5du0hCyHvjx4+3Dg0Nbevr6/tcG4lEggULFmDFihXPJYfdsGEDpk2bBibTcObl5UEkEiEnJwdFRUVgs9no0aMHevTogYMHD0r37dsnUavVycXFxasppbmMDcwgrVbsegghFhYWFqOdnJw+4/F4XosXL+aNHTuWUx9UX1FRgU8++QRfffVVg2fKn3/+iXnz5uH3339npKpASUkJ/P39sXnzZkyYMAH29vY4ffo03b59e0VRUVFJVVXVVqlUeqSlJl660urFfhZCiJujo+NsCwuLSTY2NoLg4GDLkJAQu/qUU/WxXm5ubsjOzm62iJo26urq8ODBA9y4cQNnz57FokWLcOXKlScnT56UicXiKqVSeaK8vHwHpbT1VmJ/gZdK7GchhLRhsViDXVxcJqjV6jc4HI6Ds7Mz9/bt21YKhQIrV67EggUL9Eqf3alTp4bKQcOHD6eUUolQKKwViUR1bDb7SklJyWG1Wn2BUvrYVL+XKXlpxX4RQog9AB8Wi+Xr4uIyQKVSDaGUCmxtbQmXy2VbW1sTOzs72NnZsdu0aUOkUimtrq5WV1dXU4lEQqurq1lSqZRyudxSCwuLqxUVFb8rlcpMAFn6xEC3Zv7fiK0N8nRrzRpPa161BWALQIanWfdrAEh0TVXxMvOPEPsVT2ld6RNeYVJeif0P4pXY/yBeif0P4pXY/yD+F6R7sMUTsSSHAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from cartopy import crs as ccrs, feature as cfeature\n", "\n", "loc_dict = {\n", " 'japan' : [32, 131],\n", " 'chile' : [-21.3, -68]\n", "}\n", "\n", "for name, lalo in loc_dict.items():\n", " lat, lon = lalo\n", " proj = ccrs.NearsidePerspective(central_longitude=lon, central_latitude=lat, satellite_height=600e3)\n", " fig, ax = plt.subplots(nrows=1, ncols=1, figsize=[2, 2], subplot_kw=dict(projection=proj))\n", " ax.add_feature(cfeature.LAND, edgecolor='none', facecolor='0.9')\n", " ax.add_feature(cfeature.BORDERS, lw=0.5)\n", " ax.coastlines(resolution='50m', lw=0.5, alpha=1)\n", " ax.scatter(lon, lat, marker='s', s=6**2, c='C1', zorder=3)\n", " ax.set_global()\n", "\n", " # output\n", " out_dir = os.path.expanduser('~/Papers/2021_Geolocation/figs_src/TS_comp')\n", " out_fig = os.path.join(out_dir, f'loc_{name}.pdf')\n", " print('save figure to file:', out_fig)\n", " #fig.savefig(out_fig, bbox_inches='tight', transparent=True, dpi=600)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "### Backup: Apply noise reductions: TEC, SET and ERA5\n", "\n", "By run `offset_timeseries.py -t template_file` for each of the dataset.\n", "\n", "#### Number of pixels masked out:\n", "\n", "+ `ChileSenAT149`\n", "\n", "```bash\n", "number of pixels : 28413\n", "number of pixels after removing water body : 28165\n", "number of pixels after removing SNR = NaN : 24783\n", "number of pixels after removing edge effect : 24783\n", "number of pixels after removing residual > 0.125: 21854\n", "number of pixels after adding Vel-to-Res > 0.5 : 22100\n", "```\n", "\n", "+ `ChileSenDT156`\n", "\n", "```bash\n", "generating mask of reliable pixels ...\n", "number of pixels : 36424\n", "number of pixels after removing water body : 36059\n", "number of pixels after removing SNR = NaN : 28870\n", "number of pixels after removing edge effect : 28870\n", "number of pixels after removing residual > 0.125: 23573\n", "number of pixels after adding Vel-to-Res > 0.5 : 23573\n", "```\n", "\n", "+ `KyushuAlos2DT23`\n", "\n", "```bash\n", "number of pixels : 92287\n", "number of pixels after removing water body : 92192\n", "number of pixels after removing SNR = NaN : 92192\n", "number of pixels after removing edge effect : 92192\n", "number of pixels after removing residual > 1.000: 77073\n", "number of pixels after adding Vel-to-Res > 0.5 : 77073\n", "```" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ChileSenAT149 : number of pixels after thresholding residual: 24783 -> 21854 (12%)\n", "ChileSenDT156 : number of pixels after thresholding residual: 28870 -> 23573 (18%)\n", "KyushuAlos2DT23 : number of pixels after thresholding residual: 92192 -> 77073 (16%)\n" ] } ], "source": [ "m_dict = {'ChileSenAT149' : [24783, 21854],\n", " 'ChileSenDT156' : [28870, 23573],\n", " 'KyushuAlos2DT23': [92192, 77073],}\n", "for key, [np0, np1] in m_dict.items():\n", " print(f'{key:20s}: number of pixels after thresholding residual: {np0} -> {np1} ({(np0-np1)/np0*100:.0f}%)')" ] }, { "cell_type": "markdown", "metadata": { "heading_collapsed": "true", "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ "### Backup: Plot residual time-series for POI" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Go to directory: /Users/yunjunz/data/geolocation/ChileSenDT156/mintpy_offset\n", "tsview.py timeseriesRg_gimTEC_SET_ERA5.h5 --save --figsize 8 3 --lalo -21.3 -67.39 --ylim -40 120\n", "open timeseries file: timeseriesRg_gimTEC_SET_ERA5.h5\n", "exclude date:['20150402']\n", "data coverage in y/x: (0, 0, 232, 157)\n", "subset coverage in y/x: (0, 0, 232, 157)\n", "data coverage in lat/lon: None\n", "subset coverage in lat/lon: None\n", "------------------------------------------------------------------------\n", "DESCENDING orbit -> flip left-right\n", "reading timeseries from file timeseriesRg_gimTEC_SET_ERA5.h5 ...\n", "reference to date: 20191014\n", "read mask from file: maskResInv.h5\n", "data range: [-165.21875, 180.14827] cm\n", "display range: [-37.830654, 124.26989] cm\n", "figure size : [8.53, 6.00]\n", "display data in transparency: 1.0\n", "plotting in Y/X coordinate ...\n", "plotting Data ...\n", "plot points of interest\n", "flip figure left and right\n", "\n", "---------------------------------------\n", "Y/X = 76, 47, lat/lon = -21.2950, -67.3860\n", "[-21.05, -19.98, -26.05, -27.48, -15.24, -1.56, 109.47, 7.59, 7.71, 20.96, -1.64, -13.34, -7.44, -15.67, -18.24, -18.44, -21.7, -19.28, -2.98, -15.97, -5.75, -5.27, -9.04, -3.56, -3.11, -14.23, -11.24, 0.03, -5.79, -7.06, -3.41, -9.51, 0.34, -0.41, -7.53, -8.88, -8.4, -1.22, 4.45, 2.32, -7.08, -9.16, -3.16, 6.81, 5.8, -5.43, -3.31, -5.79, -2.71, -2.37, -10.54, 1.36, -16.32, 0.84, -11.05, -0.27, -6.48, -3.25, -7.42, -3.65, -16.02, 4.07, -9.83, -1.07, -13.55, -12.04, -7.96, -5.23, -12.26, -3.65, -11.58, 0.83, -17.85, -0.6, -12.87, -4.91, -8.97, -2.68, -2.76, -4.32, -11.81, -1.17, -12.43, 5.51, 1.02, -8.47, -4.57, -1.1, -6.36, -5.15, -0.8, -8.81, 4.04, -15.55, 7.61, -0.12, -8.2, -0.62, 3.01, -12.04, 2.94, -11.31, 1.87, -5.09, 1.63, -5.8, -2.7, -4.37, -1.2, -7.88, 8.68, -13.25, 3.27, -5.92, -0.88, -4.29, -0.48, -1.16, 2.59, -4.77, -8.76, 7.68, -6.87, 1.7, -5.25, -7.24, -8.61, 1.03, -11.35, 1.74, -10.15, 12.74, -7.22, 1.01, -3.61, -2.03, -4.75, -0.07, -3.86, 4.89, -5.17, 7.75, -6.37, 2.92, -2.13, 4.63, -1.33, 3.3, 1.71, 0.39, -7.96, 6.62, -10.34, 9.16, -8.55, 4.2, 0.0, -3.5, 2.08, 4.5, -3.55, 4.11, -11.4, 5.33, -8.19, 5.73, -6.71, 2.05, -4.01, 2.37, -0.44, 0.94, -3.74, 7.78, -5.32, 10.28, -3.57, 5.74, 0.0, 4.35, -2.54, 6.72, -2.77, 9.89, -5.96, 7.5, -2.93, -2.11, 4.82, -0.8, 2.99, -10.35, 12.43, -8.42, 12.78, -5.24, 4.8, 0.22, 6.5, 4.62, 9.32]\n", "time-series range: [-27.48, 109.47] cm\n", "linear velocity: 2.62 +/- 0.37 [cm/yr]\n", "save info on pixel (76, 47)\n", "linear velocity: 2.62 +/- 0.37 [cm/yr]\n", "save displacement time-series in meter to y76x47_ts.txt\n", "save time-series plot to y76x47_ts.pdf\n", "save map plot to y76x47_20141203.png\n", "showing ...\n", "\n", "------------------------------------------------------------------------\n", "To scroll through the image sequence:\n", "1) Move the slider, OR\n", "2) Press left or right arrow key (if not responding, click the image and try again).\n", "------------------------------------------------------------------------\n" ] }, { "data": { "image/png": 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Go to directory: /Users/yunjunz/data/geolocation/ChileSenDT156/offset_comp/boxLR\n" ] } ], "source": [ "proj_dir = os.path.expanduser('~/data/geolocation/ChileSenAT149'); ylim = ['-120', '40']\n", "proj_dir = os.path.expanduser('~/data/geolocation/ChileSenDT156'); ylim = ['-40', '120']\n", "proj_name = os.path.basename(proj_dir)\n", "os.chdir(os.path.join(proj_dir, 'mintpy_offset')); print('Go to directory:', os.path.join(proj_dir, 'mintpy_offset'))\n", "\n", "ts_file = 'timeseriesRg_subTEC_SET_ERA5.h5'\n", "ts_file = 'timeseriesRg_gimTEC_SET_ERA5.h5'\n", "iargs = [ts_file, '--save', '--figsize', '8', '3', '--lalo', str(lalo[0]), str(lalo[1])]\n", "iargs += ['--ylim'] + ylim\n", "#iargs += ['--ex', 'S1B_date.txt']\n", "#iargs += ['--noverbose']\n", "tsview.main(iargs)\n", "\n", "os.chdir(work_dir); print('Go to directory:', work_dir)" ] }, { "cell_type": "markdown", "metadata": { "heading_collapsed": "true", "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ "### RMSE of the pixel above for Sentinel-1 desc T156" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "input lat / lon: -21.3 / -67.39\n", "corresponding y / x: 76 / 47\n", "RMSE (original): 11.0 cm\n", "RMSE (w/o 2015-04-02): 7.6 cm\n", "RMSE (deramp): 6.8 cm\n" ] } ], "source": [ "proj_dir = os.path.expanduser('~/data/geolocation/ChileSenDT156')\n", "geom_file = os.path.join(proj_dir, 'mintpy_offset/inputs/geometryRadar.h5')\n", "ts_file = os.path.join(proj_dir, 'mintpy_offset/timeseriesRg_gimTEC_SET_ERA5.h5')\n", "date_list = timeseries(ts_file).get_date_list()\n", "dis_ts = ut.read_timeseries_lalo(lalo[0], lalo[1], ts_file, lookup_file=geom_file)[1]\n", "\n", "# RMSE - original\n", "print('RMSE (original): {:.1f} cm'.format(ut.root_mean_sq_error(dis_ts - np.nanmedian(dis_ts))*100.))\n", "\n", "# RMSE - remove the two anomaly dates\n", "ex_dates = ['20150402'] #, '20150613']\n", "flag = [i not in ex_dates for i in date_list]\n", "date_list = np.array(date_list)[flag].tolist()\n", "dis_ts = dis_ts[flag]\n", "print('RMSE (w/o 2015-04-02): {:.1f} cm'.format(ut.root_mean_sq_error(dis_ts - np.nanmedian(dis_ts))*100.))\n", "\n", "# RMSE - remove a linear velocity\n", "from scipy import linalg\n", "model = dict(polynomial=1)\n", "G = timeseries.get_design_matrix4time_func(date_list, model)\n", "m, e2 = np.linalg.lstsq(G, dis_ts, rcond=None)[:2]\n", "dis_ts_res = dis_ts - np.dot(G, m)\n", "print('RMSE (deramp): {:.1f} cm'.format(ut.root_mean_sq_error(dis_ts_res - np.nanmedian(dis_ts_res))*100.))" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.8.12" } }, "nbformat": 4, "nbformat_minor": 4 }