docs/notebooks/default_process_time_series.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example 2: Use default processing graphs to pre-process a time series of Sentinel-1 Level-1 SLC images"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Requirements\n",
    "\n",
    "- Installation of SenSARP\n",
    "- Installation of ESA's SNAP Toolbox version >8.0.3\n",
    "    - Currently only SNAP version 8.0 can be downloaded from the ESA website (https://step.esa.int/main/download/snap-download/). To update SNAP to a version >8.0.3 please start the SNAP software. You will be asked if you want to search for update. After the updates are installed you need to restart SNAP to initialize the installed updates.\n",
    "    - SNAP Toolbox need libgfortran for specific operations but currently libgfortran is not installed during the installation process of SNAP therefore you might use ```sudo apt-get install gfortran```\n",
    "\n",
    "- Sentinel-1 SLC data\n",
    "    - Instruction how to download Sentinel 1 data are given in Section 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Download sample data from Sentinel Data Hub\n",
    "### Option 1: Download data from Sentinel Data Hub manually or via python package sentinelsat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " <span style=\"color:red\">Create Account (https://scihub.copernicus.eu/dhus/#/self-registration)</span>. (**<span style=\"color:red\">Attention: Problem by using Copernicus Open Access Hub might be that older data is offline and need to be triggered first</span>)**. More information can be found at https://scihub.copernicus.eu/userguide/DataRestoration. Instruction to manually download data from Copernicus Open Access Hub can be found at https://blogs.fu-berlin.de/reseda/esa-scihub/. You can also try to download the data via python package sentinelsat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How to use sentinelsat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# connect to the API\n",
    "from sentinelsat import SentinelAPI, read_geojson, geojson_to_wkt\n",
    "from datetime import date\n",
    "user = 'user'\n",
    "password = 'password'\n",
    "# initialize settings\n",
    "api = SentinelAPI(user, password)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Search for available data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Following products will be downloaded\n",
      "['S1A_IW_SLC__1SDH_20210109T170737_20210109T170801_036064_043A0F_7B82'\n",
      " 'S1A_IW_SLC__1SDV_20210108T051816_20210108T051844_036042_04393F_F99A'\n",
      " 'S1B_IW_SLC__1SDV_20210107T052547_20210107T052614_025044_02FB1E_E0E4'\n",
      " 'S1A_IW_SLC__1SDV_20210104T165938_20210104T170006_035991_043767_329F'\n",
      " 'S1A_IW_SLC__1SDV_20210104T165913_20210104T165940_035991_043767_A0D0'\n",
      " 'S1B_IW_SLC__1SDV_20210103T170648_20210103T170715_024993_02F97C_C72A'\n",
      " 'S1B_IW_SLC__1SDV_20210102T051747_20210102T051814_024971_02F8D2_6318'\n",
      " 'S1A_IW_SLC__1SDV_20210101T052626_20210101T052654_035940_0435A9_E0CB']\n",
      "These 8 product need 59.76 Gb of disk space\n"
     ]
    }
   ],
   "source": [
    "# search by polygon (MNI test site coordinates), time, and SciHub query keywords\n",
    "footprint = geojson_to_wkt(read_geojson('coordinates_mni.geojson'))\n",
    "products = api.query(footprint,\n",
    "                     date=('20210101', '20210110'),\n",
    "                     platformname='Sentinel-1',\n",
    "                     producttype='SLC')\n",
    "print('Following products will be downloaded')\n",
    "print(api.to_dataframe(products).title.values)\n",
    "\n",
    "print('These {} product need {} Gb of disk space'.format(len(products), api.get_products_size(products)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Start download process (**<span style=\"color:red\">Attention: might take a while and data will requries some free disk space</span>)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/json": {
       "ascii": false,
       "bar_format": null,
       "colour": null,
       "elapsed": 0.05907011032104492,
       "initial": 0,
       "n": 0,
       "ncols": null,
       "nrows": 55,
       "postfix": null,
       "prefix": "Downloading products",
       "rate": null,
       "total": 0,
       "unit": "product",
       "unit_divisor": 1000,
       "unit_scale": false
      },
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "18eb780254554022bd6f0f453f8d5512",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading products: 0product [00:00, ?product/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "ResultTuple(downloaded={'4c653f3d-2df7-4a76-ac3a-01abedbc0232': {'id': '4c653f3d-2df7-4a76-ac3a-01abedbc0232', 'title': 'S1B_IW_SLC__1SDV_20210107T052547_20210107T052614_025044_02FB1E_E0E4', 'size': 4498240977, 'md5': '893B94C6E001FE655099F218950A5109', 'date': datetime.datetime(2021, 1, 7, 5, 25, 47, 737000), 'footprint': 'POLYGON((12.658003 47.727371,9.287686 48.122635,9.664155 49.737373,13.147094 49.340591,12.658003 47.727371))', 'url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('4c653f3d-2df7-4a76-ac3a-01abedbc0232')/$value\", 'Online': True, 'Creation Date': datetime.datetime(2021, 1, 7, 10, 45, 2, 244000), 'Ingestion Date': datetime.datetime(2021, 1, 7, 10, 38, 7, 194000), 'quicklook_url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('4c653f3d-2df7-4a76-ac3a-01abedbc0232')/Products('Quicklook')/$value\", 'path': '/home/test/Desktop/data2/S1B_IW_SLC__1SDV_20210107T052547_20210107T052614_025044_02FB1E_E0E4.zip'}, '5ade5549-a789-45c3-8272-c1dd61295340': {'id': '5ade5549-a789-45c3-8272-c1dd61295340', 'title': 'S1A_IW_SLC__1SDV_20210104T165913_20210104T165940_035991_043767_A0D0', 'size': 4439128243, 'md5': 'DFB54E48755274374CE427CB0341C866', 'date': datetime.datetime(2021, 1, 4, 16, 59, 13, 974000), 'footprint': 'POLYGON((11.140376 48.259541,14.598722 48.660851,14.967645 47.044518,11.617335 46.644329,11.140376 48.259541))', 'url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('5ade5549-a789-45c3-8272-c1dd61295340')/$value\", 'Online': True, 'Creation Date': datetime.datetime(2021, 1, 4, 22, 27, 41, 952000), 'Ingestion Date': datetime.datetime(2021, 1, 4, 22, 17, 8, 141000), 'quicklook_url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('5ade5549-a789-45c3-8272-c1dd61295340')/Products('Quicklook')/$value\", 'path': '/home/test/Desktop/data2/S1A_IW_SLC__1SDV_20210104T165913_20210104T165940_035991_043767_A0D0.zip'}, '7dae304e-a8ad-4e8e-900e-fa98a79b89eb': {'id': '7dae304e-a8ad-4e8e-900e-fa98a79b89eb', 'title': 'S1B_IW_SLC__1SDV_20210102T051747_20210102T051814_024971_02F8D2_6318', 'size': 4399102981, 'md5': '52FF677638B5831E8C0FC0DB9D750CD3', 'date': datetime.datetime(2021, 1, 2, 5, 17, 47, 426000), 'footprint': 'POLYGON((14.519586 46.940491,11.161615 47.340321,11.533187 48.955601,15.000459 48.554497,14.519586 46.940491))', 'url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('7dae304e-a8ad-4e8e-900e-fa98a79b89eb')/$value\", 'Online': True, 'Creation Date': datetime.datetime(2021, 1, 2, 10, 47, 11, 479000), 'Ingestion Date': datetime.datetime(2021, 1, 2, 10, 37, 23, 997000), 'quicklook_url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('7dae304e-a8ad-4e8e-900e-fa98a79b89eb')/Products('Quicklook')/$value\", 'path': '/home/test/Desktop/data2/S1B_IW_SLC__1SDV_20210102T051747_20210102T051814_024971_02F8D2_6318.zip'}, 'e31a15e5-8afd-4b30-b2fd-49f597afa11e': {'id': 'e31a15e5-8afd-4b30-b2fd-49f597afa11e', 'title': 'S1A_IW_SLC__1SDV_20210104T165938_20210104T170006_035991_043767_329F', 'size': 4659709650, 'md5': '46E3C2CE59AC05DB6E215820ACD82C0A', 'date': datetime.datetime(2021, 1, 4, 16, 59, 38, 805000), 'footprint': 'POLYGON((10.656260 49.801006,14.231164 50.204681,14.622996 48.531536,11.169555 48.129627,10.656260 49.801006))', 'url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('e31a15e5-8afd-4b30-b2fd-49f597afa11e')/$value\", 'Online': True, 'Creation Date': datetime.datetime(2021, 1, 4, 22, 28, 3, 971000), 'Ingestion Date': datetime.datetime(2021, 1, 4, 22, 19, 22, 84000), 'quicklook_url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('e31a15e5-8afd-4b30-b2fd-49f597afa11e')/Products('Quicklook')/$value\", 'path': '/home/test/Desktop/data2/S1A_IW_SLC__1SDV_20210104T165938_20210104T170006_035991_043767_329F.zip'}, '54a817cb-b645-448b-a598-068958f2a171': {'id': '54a817cb-b645-448b-a598-068958f2a171', 'title': 'S1A_IW_SLC__1SDH_20210109T170737_20210109T170801_036064_043A0F_7B82', 'size': 3925308654, 'md5': 'E743484DE97E7A4EEF285CB693F7935B', 'date': datetime.datetime(2021, 1, 9, 17, 7, 37, 339000), 'footprint': 'POLYGON((9.006702 48.697426,12.387697 49.086720,12.724391 47.630302,9.440323 47.242146,9.006702 48.697426))', 'url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('54a817cb-b645-448b-a598-068958f2a171')/$value\", 'Online': True, 'Creation Date': datetime.datetime(2021, 1, 9, 20, 29, 15, 56000), 'Ingestion Date': datetime.datetime(2021, 1, 9, 20, 21, 26, 820000), 'quicklook_url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('54a817cb-b645-448b-a598-068958f2a171')/Products('Quicklook')/$value\", 'path': '/home/test/Desktop/data2/S1A_IW_SLC__1SDH_20210109T170737_20210109T170801_036064_043A0F_7B82.zip'}, '1a87273a-c734-425b-830e-896e21ca5e3f': {'id': '1a87273a-c734-425b-830e-896e21ca5e3f', 'title': 'S1A_IW_SLC__1SDV_20210101T052626_20210101T052654_035940_0435A9_E0CB', 'size': 17219122, 'md5': 'ebfe73e427e48ad3c1f40a95bc0370bf', 'date': datetime.datetime(2021, 1, 1, 5, 26, 26, 296000), 'footprint': 'POLYGON((12.719488 47.890697,9.286510 48.291698,9.676212 49.963432,13.228822 49.560780,12.719488 47.890697))', 'url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('1a87273a-c734-425b-830e-896e21ca5e3f')/$value\", 'Online': True, 'Creation Date': datetime.datetime(2021, 1, 1, 12, 40, 52, 577000), 'Ingestion Date': datetime.datetime(2021, 1, 1, 12, 34, 21, 794000), 'quicklook_url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('1a87273a-c734-425b-830e-896e21ca5e3f')/Products('Quicklook')/$value\", 'path': '/home/test/Desktop/data2/S1A_IW_SLC__1SDV_20210101T052626_20210101T052654_035940_0435A9_E0CB.zip'}, '90374b2c-2652-4f1f-9aac-a0f78a20d709': {'id': '90374b2c-2652-4f1f-9aac-a0f78a20d709', 'title': 'S1B_IW_SLC__1SDV_20210103T170648_20210103T170715_024993_02F97C_C72A', 'size': 4443553212, 'md5': '1D317F058BB12F77D5BA8D7726BC64AD', 'date': datetime.datetime(2021, 1, 3, 17, 6, 48, 433000), 'footprint': 'POLYGON((9.056401 48.412270,12.493703 48.809959,12.863692 47.194550,9.534239 46.798016,9.056401 48.412270))', 'url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('90374b2c-2652-4f1f-9aac-a0f78a20d709')/$value\", 'Online': True, 'Creation Date': datetime.datetime(2021, 1, 3, 23, 51, 9, 191000), 'Ingestion Date': datetime.datetime(2021, 1, 3, 23, 46, 19, 557000), 'quicklook_url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('90374b2c-2652-4f1f-9aac-a0f78a20d709')/Products('Quicklook')/$value\", 'path': '/home/test/Desktop/data2/S1B_IW_SLC__1SDV_20210103T170648_20210103T170715_024993_02F97C_C72A.zip'}, '7d25d35e-9ef6-4747-8eb1-9ed58d97802f': {'id': '7d25d35e-9ef6-4747-8eb1-9ed58d97802f', 'title': 'S1A_IW_SLC__1SDV_20210108T051816_20210108T051844_036042_04393F_F99A', 'size': 4632353415, 'md5': '58C27C2A2887B28B4E0449549E225B60', 'date': datetime.datetime(2021, 1, 8, 5, 18, 16, 929000), 'footprint': 'POLYGON((14.706059 47.602047,11.280238 48.004539,11.668169 49.676556,15.212226 49.272507,14.706059 47.602047))', 'url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('7d25d35e-9ef6-4747-8eb1-9ed58d97802f')/$value\", 'Online': True, 'Creation Date': datetime.datetime(2021, 1, 8, 11, 10, 4, 606000), 'Ingestion Date': datetime.datetime(2021, 1, 8, 11, 3, 54, 273000), 'quicklook_url': \"https://apihub.copernicus.eu/apihub/odata/v1/Products('7d25d35e-9ef6-4747-8eb1-9ed58d97802f')/Products('Quicklook')/$value\", 'path': '/home/test/Desktop/data2/S1A_IW_SLC__1SDV_20210108T051816_20210108T051844_036042_04393F_F99A.zip'}}, retrieval_triggered={}, failed={})"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# download all results from the search\n",
    "# files will be downloaded to specified path\n",
    "import os\n",
    "path = os.path.expanduser('~/Desktop/data2')\n",
    "try:\n",
    "    os.makedirs(path)\n",
    "except: FileExistsError\n",
    "api.download_all(products, path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Option 2: Manually search and download data from Alaska Satellite Facility (ASF)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can search for Sentinel-1 data at https://search.asf.alaska.edu/. A NASA EOSDIS Earthdata Login account is required for downloading data and tools from ASF. Registering for an Earthdata Login account is free (https://urs.earthdata.nasa.gov/home). Instructions how to download data from ASF can be found at https://asf.alaska.edu/wp-content/uploads/2019/02/asf_datarecipe_bulk_download_from_vertex_python_script_v1.pdf."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Use default processing graph to pre-process a time series of Sentinel-1 Level-1 SLC images"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set paths for\n",
    "\n",
    "- input_folder (path to stored Sentinel-1 SLC data (zip files) e.g. \"~/Downloads\")\n",
    "- output_folder (path where processed data will be stored e.g. \"~/output\")\n",
    "- gpt_loction (gpt is located in the bin folder of your SNAP installation)' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "input_folder = path\n",
    "output_folder = path\n",
    "gpt_location = os.path.expanduser('~/snap/bin/gpt')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create config file with information about input, output and gpt location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import yaml\n",
    "\n",
    "with open('sample_config_file.yaml') as stream:\n",
    "   data = yaml.safe_load(stream)\n",
    "\n",
    "data['input_folder'] = input_folder\n",
    "data['output_folder'] = output_folder\n",
    "data['gpt'] = gpt_location\n",
    "\n",
    "with open('test_config_file.yaml', 'wb') as stream:\n",
    "   yaml.safe_dump(data, stream, default_flow_style=False, \n",
    "                  explicit_start=True, allow_unicode=True, encoding='utf-8')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set optional config options"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('test_config_file.yaml') as stream:\n",
    "   data = yaml.safe_load(stream)\n",
    "\n",
    "# Filter option\n",
    "## Filter via year of interes\n",
    "data['year'] = '2021'\n",
    "\n",
    "## Define region of interest\n",
    "data['region']['lr']['lat'] = 48.2 # lower right latitude\n",
    "data['region']['lr']['lon'] = 11.9 # lower right longitude\n",
    "data['region']['ul']['lat'] = 48.4 # upper left latitude\n",
    "data['region']['ul']['lon'] = 11.6 # upper left longitude\n",
    "data['region']['subset'] = 'yes'\n",
    "\n",
    "## Define multi-temporal filtering properties\n",
    "data['speckle_filter']['multi_temporal']['apply'] = 'yes'\n",
    "data['speckle_filter']['multi_temporal']['files'] = '5' # Number of files used for multi temporal filtering\n",
    "\n",
    "## Define incidence angle for normalization\n",
    "data['normalization_angle'] = '35'\n",
    "\n",
    "with open('test_config_file.yaml', 'wb') as stream:\n",
    "   yaml.safe_dump(data, stream, default_flow_style=False, \n",
    "                  explicit_start=True, allow_unicode=True, encoding='utf-8')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Start pre-processing steps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Found files within input folder: 10\n",
      "INFO:root:Number of found files for year 2021: 10\n",
      "INFO:root:area of interest not specified\n",
      "INFO:root:Number of found files that were double processed: 0.0\n",
      "INFO:root:Number of found files with border issues: 4\n",
      "INFO:root:area of interest specified\n",
      "INFO:root:normalisation angle not specified, default value of 35 is used for processing\n",
      "INFO:ComponentProgress:0\n",
      "INFO:ComponentProgress:0\n",
      "INFO:root:Process S1A_IW_SLC__1SDH_20210109T170737_20210109T170801_036064_043A0F_7B82.zip with SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start step 1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n",
      "INFO: org.esa.snap.engine_utilities.download.DownloadableContentImpl: http retrieving http://step.esa.int/auxdata/orbits/Sentinel-1/POEORB/S1A/2021/01/S1A_OPER_AUX_POEORB_OPOD_20210129T120952_V20210108T225942_20210110T005942.EOF.zip\n",
      "\n",
      "INFO:root:1\n",
      "INFO:ComponentProgress:10\n",
      "INFO:ComponentProgress:10\n",
      "INFO:root:Process S1A_IW_SLC__1SDV_20210101T052626_20210101T052654_035940_0435A9_E0CB.zip with SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n",
      "INFO: org.esa.snap.engine_utilities.download.DownloadableContentImpl: http retrieving http://step.esa.int/auxdata/orbits/Sentinel-1/POEORB/S1A/2020/12/S1A_OPER_AUX_POEORB_OPOD_20210121T121629_V20201231T225942_20210102T005942.EOF.zip\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...12%...24%...36%...48%...60%...72%...84%.. done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:0\n",
      "INFO:ComponentProgress:20\n",
      "INFO:ComponentProgress:20\n",
      "INFO:root:Process S1A_IW_SLC__1SDV_20210108T051816_20210108T051844_036042_04393F_F99A.zip with SNAP.\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n",
      "INFO: org.esa.snap.engine_utilities.download.DownloadableContentImpl: http retrieving http://step.esa.int/auxdata/orbits/Sentinel-1/POEORB/S1A/2021/01/S1A_OPER_AUX_POEORB_OPOD_20210128T121545_V20210107T225942_20210109T005942.EOF.zip\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "....11%....23%....34%....46%....57%....69%....80%.... done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:0\n",
      "INFO:ComponentProgress:30\n",
      "INFO:ComponentProgress:30\n",
      "INFO:root:Process S1B_IW_SLC__1SDV_20210102T051747_20210102T051814_024971_02F8D2_6318.zip with SNAP.\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n",
      "INFO: org.esa.snap.engine_utilities.download.DownloadableContentImpl: http retrieving http://step.esa.int/auxdata/orbits/Sentinel-1/POEORB/S1B/2021/01/S1B_OPER_AUX_POEORB_OPOD_20210122T111559_V20210101T225942_20210103T005942.EOF.zip\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...12%...24%..34%...46%...58%..68%...80%... done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:0\n",
      "INFO:ComponentProgress:40\n",
      "INFO:ComponentProgress:40\n",
      "INFO:root:Process S1B_IW_SLC__1SDV_20210103T170648_20210103T170715_024993_02F97C_C72A.zip with SNAP.\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n",
      "INFO: org.esa.snap.engine_utilities.download.DownloadableContentImpl: http retrieving http://step.esa.int/auxdata/orbits/Sentinel-1/POEORB/S1B/2021/01/S1B_OPER_AUX_POEORB_OPOD_20210123T111611_V20210102T225942_20210104T005942.EOF.zip\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "..10%..20%..31%..41%...51%..62%..72%..83%.. done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:0\n",
      "INFO:ComponentProgress:50\n",
      "INFO:ComponentProgress:50\n",
      "INFO:root:Process S1B_IW_SLC__1SDV_20210107T052547_20210107T052614_025044_02FB1E_E0E4.zip with SNAP.\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n",
      "INFO: org.esa.snap.engine_utilities.download.DownloadableContentImpl: http retrieving http://step.esa.int/auxdata/orbits/Sentinel-1/POEORB/S1B/2021/01/S1B_OPER_AUX_POEORB_OPOD_20210127T111615_V20210106T225942_20210108T005942.EOF.zip\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...12%...24%..34%...46%...58%..68%...80%... done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:0\n",
      "INFO:ComponentProgress:60\n",
      "INFO:ComponentProgress:60\n",
      "INFO:root:Process S1A_IW_SLC__1SDV_20210104T165913_20210104T165940_035991_043767_A0D0.zip with SNAP.\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n",
      "INFO: org.esa.snap.engine_utilities.download.DownloadableContentImpl: http retrieving http://step.esa.int/auxdata/orbits/Sentinel-1/POEORB/S1A/2021/01/S1A_OPER_AUX_POEORB_OPOD_20210124T121622_V20210103T225942_20210105T005942.EOF.zip\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "....12%....24%...34%....46%....58%...68%....80%...90% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:0\n",
      "INFO:ComponentProgress:70\n",
      "INFO:ComponentProgress:70\n",
      "INFO:root:Process S1B_IW_SLC__1SDV_20210110T165830_20210110T165857_025095_02FCB9_7015.zip with SNAP.\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n",
      "INFO: org.esa.snap.engine_utilities.download.DownloadableContentImpl: http retrieving http://step.esa.int/auxdata/orbits/Sentinel-1/POEORB/S1B/2021/01/S1B_OPER_AUX_POEORB_OPOD_20210130T110934_V20210109T225942_20210111T005942.EOF.zip\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...11%...23%...34%...45%..55%...66%...78%...90% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:0\n",
      "INFO:root:skip processing for /home/test/Desktop/data2/S1A_IW_SLC__1SDH_20210109T170737_20210109T170801_036064_043A0F_7B82.zip. File does not exist\n",
      "INFO:root:skip processing for /home/test/Desktop/data2/S1A_IW_SLC__1SDV_20210104T165938_20210104T170006_035991_043767_329F.zip. File does not exist\n",
      "INFO:root:skip processing for /home/test/Desktop/data2/S1B_IW_SLC__1SDV_20210110T165855_20210110T165922_025095_02FCB9_4BB8.zip. File does not exist\n",
      "INFO:ComponentProgress:0\n",
      "INFO:ComponentProgress:0\n",
      "INFO:root:Scene 1 of 7\n",
      "INFO:root:Process S1A_IW_SLC__1SDV_20210101T052626_20210101T052654_035940_0435A9_E0CB_GC_RC_No_Su.dim with SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start step 2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...12%...25%..35%..45%...57%..67%..77%...89% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "-- org.jblas INFO Deleting /tmp/jblas7850174183669672141/libjblas.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas7850174183669672141/libgfortran-4.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas7850174183669672141/libjblas_arch_flavor.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas7850174183669672141/libquadmath-0.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas7850174183669672141\n",
      "INFO:root:0\n",
      "INFO:root:2021-08-29 18:57:58.801427\n",
      "INFO:ComponentProgress:14\n",
      "INFO:ComponentProgress:14\n",
      "INFO:root:Scene 2 of 7\n",
      "INFO:root:Process S1A_IW_SLC__1SDV_20210104T165913_20210104T165940_035991_043767_A0D0_GC_RC_No_Su.dim with SNAP.\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "WARNING: org.jlinda.core.Baseline: Max. error bperp modeling at 3D datapoints: 951621.6928487846m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...12%...25%..35%..45%...57%..67%..77%...89% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "-- org.jblas INFO Deleting /tmp/jblas8286044915352018441/libjblas.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas8286044915352018441/libgfortran-4.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas8286044915352018441/libjblas_arch_flavor.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas8286044915352018441/libquadmath-0.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas8286044915352018441\n",
      "INFO:root:0\n",
      "INFO:root:2021-08-29 18:59:12.674310\n",
      "INFO:ComponentProgress:28\n",
      "INFO:ComponentProgress:28\n",
      "INFO:root:Scene 3 of 7\n",
      "INFO:root:Process S1A_IW_SLC__1SDV_20210108T051816_20210108T051844_036042_04393F_F99A_GC_RC_No_Su.dim with SNAP.\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...12%...25%..35%..45%...57%..67%..77%...89% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "-- org.jblas INFO Deleting /tmp/jblas1941578135814371655/libjblas.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas1941578135814371655/libgfortran-4.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas1941578135814371655/libjblas_arch_flavor.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas1941578135814371655/libquadmath-0.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas1941578135814371655\n",
      "INFO:root:0\n",
      "INFO:root:2021-08-29 19:00:26.270922\n",
      "INFO:ComponentProgress:42\n",
      "INFO:ComponentProgress:42\n",
      "INFO:root:Scene 4 of 7\n",
      "INFO:root:Process S1B_IW_SLC__1SDV_20210102T051747_20210102T051814_024971_02F8D2_6318_GC_RC_No_Su.dim with SNAP.\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...12%...25%..35%..45%...57%..67%..77%...89% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "-- org.jblas INFO Deleting /tmp/jblas5133865250962490398/libjblas.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas5133865250962490398/libgfortran-4.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas5133865250962490398/libjblas_arch_flavor.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas5133865250962490398/libquadmath-0.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas5133865250962490398\n",
      "INFO:root:0\n",
      "INFO:root:2021-08-29 19:01:57.069051\n",
      "INFO:ComponentProgress:57\n",
      "INFO:ComponentProgress:57\n",
      "INFO:root:Scene 5 of 7\n",
      "INFO:root:Process S1B_IW_SLC__1SDV_20210103T170648_20210103T170715_024993_02F97C_C72A_GC_RC_No_Su.dim with SNAP.\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...12%...25%..35%..45%...57%..67%..77%...89% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "-- org.jblas INFO Deleting /tmp/jblas8785853447239672772/libjblas.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas8785853447239672772/libgfortran-4.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas8785853447239672772/libjblas_arch_flavor.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas8785853447239672772/libquadmath-0.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas8785853447239672772\n",
      "INFO:root:0\n",
      "INFO:root:2021-08-29 19:03:24.549310\n",
      "INFO:ComponentProgress:71\n",
      "INFO:ComponentProgress:71\n",
      "INFO:root:Scene 6 of 7\n",
      "INFO:root:Process S1B_IW_SLC__1SDV_20210107T052547_20210107T052614_025044_02FB1E_E0E4_GC_RC_No_Su.dim with SNAP.\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...12%...25%..35%..45%...57%..67%..77%...89% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "-- org.jblas INFO Deleting /tmp/jblas7411179791605111946/libjblas.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas7411179791605111946/libgfortran-4.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas7411179791605111946/libjblas_arch_flavor.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas7411179791605111946/libquadmath-0.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas7411179791605111946\n",
      "INFO:root:0\n",
      "INFO:root:2021-08-29 19:04:35.352154\n",
      "INFO:ComponentProgress:85\n",
      "INFO:ComponentProgress:85\n",
      "INFO:root:Scene 7 of 7\n",
      "INFO:root:Process S1B_IW_SLC__1SDV_20210110T165830_20210110T165857_025095_02FCB9_7015_GC_RC_No_Su.dim with SNAP.\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "INFO: org.esa.snap.core.datamodel.Product: raster width 2403 not equal to 2404\n",
      "WARNING: org.jlinda.core.Baseline: Max. error bperp modeling at 3D datapoints: 1002303.1955448636m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...12%...25%..35%..45%...57%..67%..77%...89% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "-- org.jblas INFO Deleting /tmp/jblas2590257929860331368/libjblas.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas2590257929860331368/libgfortran-4.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas2590257929860331368/libjblas_arch_flavor.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas2590257929860331368/libquadmath-0.so\n",
      "-- org.jblas INFO Deleting /tmp/jblas2590257929860331368\n",
      "INFO:root:0\n",
      "INFO:root:2021-08-29 19:05:54.247359\n",
      "INFO:root:skip processing for /home/test/Desktop/data2/S1A_IW_SLC__1SDH_20210109T170737_20210109T170801_036064_043A0F_7B82.zip. File /home/test/Desktop/data2/step2/S1A_IW_SLC__1SDH_20210109T170737_20210109T170801_036064_043A0F_7B82_GC_RC_No_Su_Co.dim does not exist.\n",
      "INFO:root:skip processing for /home/test/Desktop/data2/S1A_IW_SLC__1SDV_20210104T165938_20210104T170006_035991_043767_329F.zip. File /home/test/Desktop/data2/step2/S1A_IW_SLC__1SDV_20210104T165938_20210104T170006_035991_043767_329F_GC_RC_No_Su_Co.dim does not exist.\n",
      "INFO:root:skip processing for /home/test/Desktop/data2/S1B_IW_SLC__1SDV_20210110T165855_20210110T165922_025095_02FCB9_4BB8.zip. File /home/test/Desktop/data2/step2/S1B_IW_SLC__1SDV_20210110T165855_20210110T165922_025095_02FCB9_4BB8_GC_RC_No_Su_Co.dim does not exist.\n",
      "INFO:ComponentProgress:0\n",
      "INFO:ComponentProgress:0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start step 3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...10%....22%....34%....45%..."
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "29455 [main] INFO serverStartup - Nc4Iosp: NetCDF-4 C library loaded (jna_path='/home/test/.snap/auxdata/netcdf_natives/8.0.5/amd64', libname='netcdf').\n",
      "29500 [main] INFO serverStartup - NetcdfLoader: set log level: old=0 new=0\n",
      "29501 [main] INFO serverStartup - Nc4Iosp: set log level: old=0 new=0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "55%....67%....79%....90% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:0\n",
      "INFO:root:2021-08-29 19:08:56.411130\n",
      "INFO:ComponentProgress:14\n",
      "INFO:ComponentProgress:14\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...10%....22%....34%....45%..."
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "21992 [main] INFO serverStartup - Nc4Iosp: NetCDF-4 C library loaded (jna_path='/home/test/.snap/auxdata/netcdf_natives/8.0.5/amd64', libname='netcdf').\n",
      "22011 [main] INFO serverStartup - NetcdfLoader: set log level: old=0 new=0\n",
      "22012 [main] INFO serverStartup - Nc4Iosp: set log level: old=0 new=0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "55%....67%....79%....90% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:0\n",
      "INFO:root:2021-08-29 19:11:42.027038\n",
      "INFO:ComponentProgress:28\n",
      "INFO:ComponentProgress:28\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...10%....22%....34%....45%..."
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "21802 [main] INFO serverStartup - Nc4Iosp: NetCDF-4 C library loaded (jna_path='/home/test/.snap/auxdata/netcdf_natives/8.0.5/amd64', libname='netcdf').\n",
      "21810 [main] INFO serverStartup - NetcdfLoader: set log level: old=0 new=0\n",
      "21828 [main] INFO serverStartup - Nc4Iosp: set log level: old=0 new=0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "55%....67%....79%....90%"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:0\n",
      "INFO:root:2021-08-29 19:14:12.068346\n",
      "INFO:ComponentProgress:42\n",
      "INFO:ComponentProgress:42\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...10%....22%....34%....45%..."
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "13418 [main] INFO serverStartup - Nc4Iosp: NetCDF-4 C library loaded (jna_path='/home/test/.snap/auxdata/netcdf_natives/8.0.5/amd64', libname='netcdf').\n",
      "13434 [main] INFO serverStartup - NetcdfLoader: set log level: old=0 new=0\n",
      "13435 [main] INFO serverStartup - Nc4Iosp: set log level: old=0 new=0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "55%....67%....79%....90% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:0\n",
      "INFO:root:2021-08-29 19:16:33.320428\n",
      "INFO:ComponentProgress:57\n",
      "INFO:ComponentProgress:57\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...10%....22%....34%....45%..."
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "22425 [main] INFO serverStartup - Nc4Iosp: NetCDF-4 C library loaded (jna_path='/home/test/.snap/auxdata/netcdf_natives/8.0.5/amd64', libname='netcdf').\n",
      "22442 [main] INFO serverStartup - NetcdfLoader: set log level: old=0 new=0\n",
      "22448 [main] INFO serverStartup - Nc4Iosp: set log level: old=0 new=0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "55%....67%....79%....90% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:0\n",
      "INFO:root:2021-08-29 19:19:14.782446\n",
      "INFO:ComponentProgress:71\n",
      "INFO:ComponentProgress:71\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...10%....22%....34%....45%..."
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "22348 [main] INFO serverStartup - Nc4Iosp: NetCDF-4 C library loaded (jna_path='/home/test/.snap/auxdata/netcdf_natives/8.0.5/amd64', libname='netcdf').\n",
      "22375 [main] INFO serverStartup - NetcdfLoader: set log level: old=0 new=0\n",
      "22387 [main] INFO serverStartup - Nc4Iosp: set log level: old=0 new=0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "55%....67%....79%....90% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:0\n",
      "INFO:root:2021-08-29 19:21:56.809279\n",
      "INFO:ComponentProgress:85\n",
      "INFO:ComponentProgress:85\n",
      "INFO: org.esa.snap.core.gpf.operators.tooladapter.ToolAdapterIO: Initializing external tool adapters\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: GDAL 3.0.4 found on system. JNI driver will be used.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n",
      "INFO: org.esa.snap.core.util.EngineVersionCheckActivator: Please check regularly for new updates for the best SNAP experience.\n",
      "INFO: org.esa.s2tbx.dataio.gdal.GDALVersion: Installed GDAL 3.0.4 set to be used by SNAP.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing processing graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: org.hsqldb.persist.Logger: dataFileCache open start\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...10%....22%....34%....45%..."
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "21504 [main] INFO serverStartup - Nc4Iosp: NetCDF-4 C library loaded (jna_path='/home/test/.snap/auxdata/netcdf_natives/8.0.5/amd64', libname='netcdf').\n",
      "21543 [main] INFO serverStartup - NetcdfLoader: set log level: old=0 new=0\n",
      "21543 [main] INFO serverStartup - Nc4Iosp: set log level: old=0 new=0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "55%....67%....79%....90% done.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:0\n",
      "INFO:root:2021-08-29 19:24:31.369057\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start add netcdf information\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Number of scenes found for processing: 7\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start create netcdf stack\n",
      "\n",
      "Scene 1 of 7\n",
      "/home/test/Desktop/data2/step3/S1A_IW_SLC__1SDV_20210101T052626_20210101T052654_035940_0435A9_E0CB_GC_RC_No_Su_Co_speckle.nc\n",
      "\n",
      "Scene 2 of 7\n",
      "/home/test/Desktop/data2/step3/S1B_IW_SLC__1SDV_20210102T051747_20210102T051814_024971_02F8D2_6318_GC_RC_No_Su_Co_speckle.nc\n",
      "\n",
      "Scene 3 of 7\n",
      "/home/test/Desktop/data2/step3/S1B_IW_SLC__1SDV_20210103T170648_20210103T170715_024993_02F97C_C72A_GC_RC_No_Su_Co_speckle.nc\n",
      "\n",
      "Scene 4 of 7\n",
      "/home/test/Desktop/data2/step3/S1A_IW_SLC__1SDV_20210104T165913_20210104T165940_035991_043767_A0D0_GC_RC_No_Su_Co_speckle.nc\n",
      "\n",
      "Scene 5 of 7\n",
      "/home/test/Desktop/data2/step3/S1B_IW_SLC__1SDV_20210107T052547_20210107T052614_025044_02FB1E_E0E4_GC_RC_No_Su_Co_speckle.nc\n",
      "\n",
      "Scene 6 of 7\n",
      "/home/test/Desktop/data2/step3/S1A_IW_SLC__1SDV_20210108T051816_20210108T051844_036042_04393F_F99A_GC_RC_No_Su_Co_speckle.nc\n",
      "\n",
      "Scene 7 of 7\n",
      "/home/test/Desktop/data2/step3/S1B_IW_SLC__1SDV_20210110T165830_20210110T165857_025095_02FCB9_7015_GC_RC_No_Su_Co_speckle.nc\n"
     ]
    }
   ],
   "source": [
    "from sar_pre_processing.sar_pre_processor import *\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "processing = SARPreProcessor(config='test_config_file.yaml')\n",
    "processing.create_processing_file_list()\n",
    "print('start step 1')\n",
    "processing.pre_process_step1()\n",
    "print('start step 2')\n",
    "processing.pre_process_step2()\n",
    "print('start step 3')\n",
    "processing.pre_process_step3()\n",
    "print('start add netcdf information')\n",
    "processing.add_netcdf_information()\n",
    "print('start create netcdf stack')\n",
    "processing.create_netcdf_stack()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. View processed data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load netcdf file with processed data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/test/Desktop/sar-pre-processing/docs/notebooks\n",
      "/home/test/Desktop/data2\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "print(os.getcwd())\n",
    "print(output_folder)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "\n",
    "my_example_nc_file = os.path.join(output_folder, 'data2.nc')\n",
    "data = Dataset(my_example_nc_file, mode='r') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "View information about dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<class 'netCDF4._netCDF4.Dataset'>\n",
       "root group (NETCDF4 data model, file format HDF5):\n",
       "    dimensions(sizes): lat(1603), lon(2403), time(7)\n",
       "    variables(dimensions): float32 time(time), float32 orbitdirection(time), float32 relorbit(time), float32 satellite(time), float32 lat(lat), float32 lon(lon), float32 theta(time, lat, lon), float32 sigma0_vv_norm_multi(time, lat, lon), float32 sigma0_vh_norm_multi(time, lat, lon), float32 sigma0_vv_multi(time, lat, lon), float32 sigma0_vh_multi(time, lat, lon), float32 sigma0_vv_single(time, lat, lon), float32 sigma0_vh_single(time, lat, lon), float32 sigma0_vv_norm_single(time, lat, lon), float32 sigma0_vh_norm_single(time, lat, lon)\n",
       "    groups: "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read data from netcdf file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.variables['orbitdirection'][:]\n",
    "data.variables['time'][:]\n",
    "lons = data.variables['lon'][:]\n",
    "lats = data.variables['lat'][:]\n",
    "vv = data.variables['sigma0_vv_single'][:]\n",
    "\n",
    "vv_units = data.variables['sigma0_vv_single'].units"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Close netcdf file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot vv polorized data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "61423719a0e0428b840b0ce0d1ae46ae",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=3, description='x', max=6), Output()), _dom_classes=('widget-interact',)…"
      ]
     },
     "execution_count": 13,
     "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": [
    "%matplotlib inline\n",
    "from ipywidgets import interactive\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "def f(x):\n",
    "    # Problem: border pixel might be zero or negative\n",
    "    # pixel eqal or smaller than zero are set to nan\n",
    "    array = np.copy(vv[x])\n",
    "    array[array <= 0] = np.nan\n",
    "    # plot backscatter data in dB scale\n",
    "    plt.imshow(10*np.log10(array))\n",
    "    cbar = plt.colorbar()\n",
    "    cbar.set_label('dB')\n",
    "    plt.clim(-25, 0)\n",
    "\n",
    "interactive_plot = interactive(f, x=(0,len(vv)-1))\n",
    "interactive_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}