scottyhq/srtm-gist-2.ipynb

## srtm-gist-2.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4f8dca7d-e40e-4209-b8ae-ceae5a1f5906",
   "metadata": {},
   "source": [
    "Figuring out https://github.com/rasterio/rasterio/issues/2433"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "29d652af-b4e7-4aa7-887b-ce40d5808dc3",
   "metadata": {},
   "outputs": [],
   "source": [
    "!wget -nc -q https://opentopography.s3.sdsc.edu/raster/SRTM_GL1/SRTM_GL1_srtm/N39W109.tif ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "929041c4-e941-42de-b0bf-b61bf355487b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GDAL 3.6.2, released 2023/01/02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "PROJ: pj_open_lib(proj.ini): call fopen(/srv/conda/envs/notebook/share/proj/proj.ini) - succeeded\n",
      "PROJ: pj_open_lib(proj.db): call fopen(/srv/conda/envs/notebook/share/proj/proj.db) - succeeded\n",
      "GDAL: GDALOpen(N39W109.tif, this=0x559a9acc0f60) succeeds as GTiff.\n",
      "GDAL: GDALOpen(srtm_gdal.tif, this=0x559a9b03dc80) succeeds as GTiff.\n",
      "GDAL: GDALClose(srtm_gdal.tif, this=0x559a9b03dc80)\n",
      "GDAL: Using GTiff driver\n",
      "GDAL: GDALOpen(srtm_gdal.tif, this=0x559a9b03dc80) succeeds as GTiff.\n",
      "GDAL: GDALDefaultOverviews::OverviewScan()\n",
      "GDAL: GDALClose(srtm_gdal.tif, this=0x559a9b03dc80)\n",
      "GDAL: GDALOpen(N39W109.tif, this=0x559a9b03dc80) succeeds as GTiff.\n",
      "GDAL: GDALDefaultOverviews::OverviewScan()\n",
      "GDAL: GDALClose(N39W109.tif, this=0x559a9b03dc80)\n",
      "GDAL: Computing area of interest: -109, 38.9999, -108, 40.0001\n",
      "OGRCT: Wrap source at -108.5.\n",
      "PROJ: pj_open_lib(us_nga_egm96_15.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm96_15.tif) - failed\n",
      "PROJ: pj_open_lib(egm96_15.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm96_15.gtx) - failed\n",
      "PROJ: pj_open_lib(us_nga_egm96_15.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm96_15.tif) - failed\n",
      "PROJ: pj_open_lib(egm96_15.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm96_15.gtx) - failed\n",
      "PROJ: Using https://cdn.proj.org/us_nga_egm96_15.tif\n",
      "PROJ: Using coordinate operation Inverse of WGS 84 to EGM96 height (1) + WGS 84 to WGS 84 (G1150)\n",
      "PROJ: pj_open_lib(us_nga_egm96_15.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm96_15.tif) - failed\n",
      "PROJ: pj_open_lib(egm96_15.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm96_15.gtx) - failed\n",
      "PROJ: Using https://cdn.proj.org/us_nga_egm96_15.tif\n",
      "PROJ: Using coordinate operation Inverse of WGS 84 to EGM96 height (1) + WGS 84 to WGS 84 (G1150)\n",
      "PROJ: pj_open_lib(us_nga_egm96_15.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm96_15.tif) - failed\n",
      "PROJ: pj_open_lib(egm96_15.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm96_15.gtx) - failed\n",
      "PROJ: Using https://cdn.proj.org/us_nga_egm96_15.tif\n",
      "PROJ: Using coordinate operation Inverse of WGS 84 to EGM96 height (1) + WGS 84 to WGS 84 (G1150)\n",
      "PROJ: pj_open_lib(us_nga_egm96_15.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm96_15.tif) - failed\n",
      "PROJ: pj_open_lib(egm96_15.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm96_15.gtx) - failed\n",
      "PROJ: Using https://cdn.proj.org/us_nga_egm96_15.tif\n",
      "PROJ: Using coordinate operation Inverse of WGS 84 to EGM96 height (1) + WGS 84 to WGS 84 (G1150)\n",
      "PROJ: pj_open_lib(us_nga_egm96_15.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm96_15.tif) - failed\n",
      "PROJ: pj_open_lib(egm96_15.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm96_15.gtx) - failed\n",
      "PROJ: Using https://cdn.proj.org/us_nga_egm96_15.tif\n",
      "GDAL: QuietDelete(srtm_gdal.tif) invoking Delete()\n",
      "GDAL: GDALOpen(srtm_gdal.tif, this=0x559a9b03dc80) succeeds as GTiff.\n",
      "GDAL: GDALDefaultOverviews::OverviewScan()\n",
      "GDAL: GDALClose(srtm_gdal.tif, this=0x559a9b03dc80)\n",
      "GDAL: GDALDriver::Create(GTiff,srtm_gdal.tif,3601,3601,1,Float32,(nil))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating output file that is 3601P x 3601L.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARP: Copying metadata from first source to destination dataset\n",
      "GTiff: ScanDirectories()\n",
      "GTiff: Opened 1801x1801 overview.\n",
      "GTiff: Opened 901x901 overview.\n",
      "GTiff: Opened 451x451 overview.\n",
      "WARP: srcNoData=-32768.000000 dstNoData=-32768.000000\n",
      "WARP: calling GDALSetRasterNoDataValue() for band#0\n",
      "GDALWARP: Defining SKIP_NOSOURCE=YES\n",
      "WARP: Applying MULT_FACTOR_VERTICAL_SHIFT=1\n",
      "GDAL: GDAL_CACHEMAX = 102 MB\n",
      "GDAL: GDALWarpKernel()::GWKNearestFloat() Src=0,0,3601x1800 Dst=0,0,3601x1800\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing N39W109.tif [1/1] : 0Using internal nodata values (e.g. -32768) for image N39W109.tif.\n",
      "Copying nodata values from source N39W109.tif to destination srtm_gdal.tif.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "GDAL: GDALWarpKernel()::GWKNearestFloat() Src=0,1800,3601x1801 Dst=0,1800,3601x1801\n",
      "GDAL: Flushing dirty blocks: 0...10...20...30...40...50...60...70...80...90...100 - done.\n",
      "GDAL: GDALClose(srtm_gdal.tif, this=0x559a9b03dc80)\n",
      "GDAL: GDALClose(N39W109.tif, this=0x559a9acc0f60)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...10...20...30...40...50...60...70...80...90...100 - done.\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "gdalinfo --version\n",
    "\n",
    "INPUT='N39W109.tif'\n",
    "OUTPUT='srtm_gdal.tif'\n",
    "CPL_DEBUG=ON \\\n",
    "PROJ_DEBUG=2 \\\n",
    "gdalwarp -overwrite -ot Float32 -s_srs EPSG:9707 -t_srs EPSG:7661 $INPUT $OUTPUT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6db47475-740b-4292-92c2-cb80d6c62f67",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rasterio info:\n",
      "  rasterio: 1.3.6\n",
      "      GDAL: 3.6.2\n",
      "      PROJ: 9.1.1\n",
      "      GEOS: 3.11.1\n",
      " PROJ DATA: /srv/conda/envs/notebook/share/proj\n",
      " GDAL DATA: /srv/conda/envs/notebook/share/gdal\n",
      "\n",
      "System:\n",
      "    python: 3.10.9 | packaged by conda-forge | (main, Feb  2 2023, 20:20:04) [GCC 11.3.0]\n",
      "executable: /srv/conda/envs/notebook/bin/python\n",
      "   machine: Linux-5.10.147+-x86_64-with-glibc2.27\n",
      "\n",
      "Python deps:\n",
      "    affine: 2.4.0\n",
      "     attrs: 22.2.0\n",
      "   certifi: 2022.12.07\n",
      "     click: 8.1.3\n",
      "     cligj: 0.7.2\n",
      "    cython: None\n",
      "     numpy: 1.23.5\n",
      "    snuggs: 1.4.7\n",
      "click-plugins: None\n",
      "setuptools: 67.1.0\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "os.environ[\"PROJ_DEBUG\"] = \"2\"\n",
    "\n",
    "import rasterio\n",
    "import logging\n",
    "\n",
    "console_handler = logging.StreamHandler()\n",
    "formatter = logging.Formatter(\"%(levelname)s:%(message)s\")\n",
    "console_handler.setFormatter(formatter)\n",
    "logger = logging.getLogger(\"rasterio\")\n",
    "logger.addHandler(console_handler)\n",
    "logger.setLevel(logging.DEBUG)\n",
    "                              \n",
    "rasterio.show_versions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c434167b-e69a-4731-bdfc-49bb6a86ebe3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:Entering env context: <rasterio.env.Env object at 0x7f69f8027fa0>\n",
      "DEBUG:Starting outermost env\n",
      "DEBUG:No GDAL environment exists\n",
      "DEBUG:New GDAL environment <rasterio._env.GDALEnv object at 0x7f69f8027eb0> created\n",
      "DEBUG:Installing FilePath filesystem handler plugin...\n",
      "DEBUG:GDAL_DATA found in environment.\n",
      "DEBUG:PROJ_DATA found in environment.\n",
      "DEBUG:Started GDALEnv: self=<rasterio._env.GDALEnv object at 0x7f69f8027eb0>.\n",
      "DEBUG:Entered env context: <rasterio.env.Env object at 0x7f69f8027fa0>\n",
      "DEBUG:Got a copy of environment <rasterio._env.GDALEnv object at 0x7f69f8027eb0> options\n",
      "DEBUG:Entering env context: <rasterio.env.Env object at 0x7f69f80277f0>\n",
      "DEBUG:Got a copy of environment <rasterio._env.GDALEnv object at 0x7f69f8027eb0> options\n",
      "DEBUG:Entered env context: <rasterio.env.Env object at 0x7f69f80277f0>\n",
      "DEBUG:Sharing flag: 0\n",
      "DEBUG:CPLE_None in GDAL: GDALOpen(N39W109.tif, this=0x5655537be3d0) succeeds as GTiff.\n",
      "DEBUG:CPLE_None in PROJ: pj_open_lib(proj.ini): call fopen(/srv/conda/envs/notebook/share/proj/proj.ini) - succeeded\n",
      "DEBUG:CPLE_None in PROJ: pj_open_lib(proj.db): call fopen(/srv/conda/envs/notebook/share/proj/proj.db) - succeeded\n",
      "DEBUG:Nodata success: 1, Nodata value: -32768.000000\n",
      "DEBUG:Dataset <open DatasetReader name='N39W109.tif' mode='r'> is started.\n",
      "DEBUG:Exiting env context: <rasterio.env.Env object at 0x7f69f80277f0>\n",
      "DEBUG:Cleared existing <rasterio._env.GDALEnv object at 0x7f69f8027eb0> options\n",
      "DEBUG:Stopped GDALEnv <rasterio._env.GDALEnv object at 0x7f69f8027eb0>.\n",
      "DEBUG:No GDAL environment exists\n",
      "DEBUG:New GDAL environment <rasterio._env.GDALEnv object at 0x7f69f8027eb0> created\n",
      "DEBUG:GDAL_DATA found in environment.\n",
      "DEBUG:PROJ_DATA found in environment.\n",
      "DEBUG:Started GDALEnv: self=<rasterio._env.GDALEnv object at 0x7f69f8027eb0>.\n",
      "DEBUG:Exited env context: <rasterio.env.Env object at 0x7f69f80277f0>\n",
      "DEBUG:Output nodata value read from file: -32768.0\n",
      "DEBUG:Output nodata values: [-32768.0]\n",
      "DEBUG:CPLE_None in GTiff: ScanDirectories()\n",
      "DEBUG:CPLE_None in GTiff: Opened 1801x1801 overview.\n",
      "DEBUG:CPLE_None in GTiff: Opened 901x901 overview.\n",
      "DEBUG:CPLE_None in GTiff: Opened 451x451 overview.\n",
      "DEBUG:all_valid: False\n",
      "DEBUG:mask_flags: ([<MaskFlags.nodata: 8>],)\n",
      "DEBUG:Jump straight to _read()\n",
      "DEBUG:Window: None\n",
      "DEBUG:IO window xoff=0.0 yoff=0.0 width=3601.0 height=3601.0\n",
      "DEBUG:CPLE_None in GDAL: GDAL_CACHEMAX = 102 MB\n",
      "DEBUG:CPLE_None in VRT: No valid sources found for band in VRT file \n",
      "DEBUG:CPLE_None in GDAL: GDALOpen(<VRTDataset rasterYSize=\"3601\" rasterXSize=\"3601\"><VRTRasterBand /><SRS>COMPD_CS[\"WGS 84 + EGM96 height\",GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AXIS[\"Latitude\",NORTH],AXIS[\"Longitude\",EAST],AUTHORITY[\"EPSG\",\"4326\"]],VERT_CS[\"EGM96 height\",VERT_DATUM[\"EGM96 geoid\",2005,AUTHORITY[\"EPSG\",\"5171\"]],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"Gravity-related height\",UP],AUTHORITY[\"EPSG\",\"5773\"]],AUTHORITY[\"EPSG\",\"9707\"]]</SRS><GeoTransform>-109.00013888888888,0.000277777777777779,0.0,40.00013888888889,0.0,-0.00027777777777777707</GeoTransform></VRTDataset>, this=0x565553677720) succeeds as VRT.\n",
      "DEBUG:CPLE_None in GDAL: Computing area of interest: -109, 38.9999, -108, 40.0001\n",
      "DEBUG:CPLE_None in OGRCT: Wrap source at -108.5.\n",
      "DEBUG:CPLE_None in PROJ: pj_open_lib(us_nga_egm96_15.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm96_15.tif) - failed\n",
      "DEBUG:CPLE_None in PROJ: pj_open_lib(egm96_15.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm96_15.gtx) - failed\n",
      "DEBUG:CPLE_None in PROJ: pj_open_lib(us_nga_egm96_15.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm96_15.tif) - failed\n",
      "DEBUG:CPLE_None in PROJ: pj_open_lib(egm96_15.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm96_15.gtx) - failed\n",
      "DEBUG:CPLE_None in PROJ: Using https://cdn.proj.org/us_nga_egm96_15.tif\n",
      "DEBUG:Created exact transformer\n",
      "DEBUG:CPLE_None in PROJ: Using coordinate operation Inverse of WGS 84 to EGM96 height (1) + WGS 84 to WGS 84 (G1150)\n",
      "DEBUG:CPLE_None in PROJ: pj_open_lib(us_nga_egm96_15.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm96_15.tif) - failed\n",
      "DEBUG:CPLE_None in PROJ: pj_open_lib(egm96_15.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm96_15.gtx) - failed\n",
      "DEBUG:CPLE_None in PROJ: Using https://cdn.proj.org/us_nga_egm96_15.tif\n",
      "DEBUG:CPLE_None in PROJ: Using coordinate operation Inverse of WGS 84 to EGM96 height (1) + WGS 84 to WGS 84 (G1150)\n",
      "DEBUG:CPLE_None in PROJ: pj_open_lib(us_nga_egm96_15.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm96_15.tif) - failed\n",
      "DEBUG:CPLE_None in PROJ: pj_open_lib(egm96_15.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm96_15.gtx) - failed\n",
      "DEBUG:CPLE_None in PROJ: Using https://cdn.proj.org/us_nga_egm96_15.tif\n",
      "PROJ: Using coordinate operation Inverse of WGS 84 to EGM96 height (1) + WGS 84 to WGS 84 (G1150)\n",
      "DEBUG:CPLE_None in GDAL: GDALClose(<VRTDataset rasterYSize=\"3601\" rasterXSize=\"3601\"><VRTRasterBand /><SRS>COMPD_CS[\"WGS 84 + EGM96 height\",GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AXIS[\"Latitude\",NORTH],AXIS[\"Longitude\",EAST],AUTHORITY[\"EPSG\",\"4326\"]],VERT_CS[\"EGM96 height\",VERT_DATUM[\"EGM96 geoid\",2005,AUTHORITY[\"EPSG\",\"5171\"]],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"Gravity-related height\",UP],AUTHORITY[\"EPSG\",\"5773\"]],AUTHORITY[\"EPSG\",\"9707\"]]</SRS><GeoTransform>-109.00013888888888,0.000277777777777779,0.0,40.00013888888889,0.0,-0.00027777777777777707</GeoTransform></VRTDataset>, this=0x565553677720)\n",
      "PROJ: pj_open_lib(us_nga_egm96_15.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm96_15.tif) - failed\n",
      "PROJ: pj_open_lib(egm96_15.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm96_15.gtx) - failed\n",
      "PROJ: Using https://cdn.proj.org/us_nga_egm96_15.tif\n",
      "PROJ: Using coordinate operation Inverse of WGS 84 to EGM96 height (1) + WGS 84 to WGS 84 (G1150)\n",
      "PROJ: pj_open_lib(us_nga_egm96_15.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm96_15.tif) - failed\n",
      "PROJ: pj_open_lib(egm96_15.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm96_15.gtx) - failed\n",
      "PROJ: Using https://cdn.proj.org/us_nga_egm96_15.tif\n",
      "DEBUG:Got a copy of environment <rasterio._env.GDALEnv object at 0x7f69f8027eb0> options\n",
      "DEBUG:Entering env context: <rasterio.env.Env object at 0x7f69f8026fb0>\n",
      "DEBUG:Got a copy of environment <rasterio._env.GDALEnv object at 0x7f69f8027eb0> options\n",
      "DEBUG:Entered env context: <rasterio.env.Env object at 0x7f69f8026fb0>\n",
      "DEBUG:Path: _UnparsedPath(path='srtm_rio.tif'), mode: w, driver: GTiff\n",
      "DEBUG:CPLE_None in GDAL: GDALClose(srtm_rio.tif, this=0x565555e182a0)\n",
      "GDAL: GDALOpen(srtm_rio.tif, this=0x565555e182a0) succeeds as GTiff.\n",
      "DEBUG:CPLE_None in GDAL: GDALOpen(srtm_rio.tif, this=0x565555e182a0) succeeds as GTiff.\n",
      "DEBUG:CPLE_None in GDAL: GDALDefaultOverviews::OverviewScan()\n",
      "DEBUG:CPLE_None in GDAL: GDALClose(srtm_rio.tif, this=0x565555e182a0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2037.226751864184\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:CPLE_None in GDAL: GDALDriver::Create(GTiff,srtm_rio.tif,3601,3601,1,Float32,(nil))\n",
      "DEBUG:Nodata success: 1, Nodata value: -32768.000000\n",
      "DEBUG:Exiting env context: <rasterio.env.Env object at 0x7f69f8026fb0>\n",
      "DEBUG:Cleared existing <rasterio._env.GDALEnv object at 0x7f69f8027eb0> options\n",
      "DEBUG:Stopped GDALEnv <rasterio._env.GDALEnv object at 0x7f69f8027eb0>.\n",
      "DEBUG:No GDAL environment exists\n",
      "DEBUG:New GDAL environment <rasterio._env.GDALEnv object at 0x7f69f8027eb0> created\n",
      "DEBUG:GDAL_DATA found in environment.\n",
      "DEBUG:PROJ_DATA found in environment.\n",
      "DEBUG:Started GDALEnv: self=<rasterio._env.GDALEnv object at 0x7f69f8027eb0>.\n",
      "DEBUG:Exited env context: <rasterio.env.Env object at 0x7f69f8026fb0>\n",
      "DEBUG:Path: _UnparsedPath(path='MEM:::DATAPOINTER=140092952743952,PIXELS=3601,LINES=3601,BANDS=1,DATATYPE=Int16'), mode: r+, driver: None\n",
      "DEBUG:CPLE_None in GDAL: GDALOpen(MEM:::DATAPOINTER=140092952743952,PIXELS=3601,LINES=3601,BANDS=1,DATATYPE=Int16, this=0x5655528c6280) succeeds as MEM.\n",
      "DEBUG:Nodata success: 0, Nodata value: 0.000000\n",
      "DEBUG:Path: _UnparsedPath(path='MEM:::DATAPOINTER=140092978679824,PIXELS=3601,LINES=3601,BANDS=1,DATATYPE=Float64'), mode: r+, driver: None\n",
      "DEBUG:CPLE_None in GDAL: GDALOpen(MEM:::DATAPOINTER=140092978679824,PIXELS=3601,LINES=3601,BANDS=1,DATATYPE=Float64, this=0x565553c49a80) succeeds as MEM.\n",
      "DEBUG:Nodata success: 0, Nodata value: 0.000000\n",
      "DEBUG:Created temp destination dataset.\n",
      "DEBUG:Set _reproject Transformer option b'APPLY_VERTICAL_SHIFT'=b'TRUE'\n",
      "DEBUG:CPLE_None in GDAL: Computing area of interest: -109, 38.9999, -108, 40.0001\n",
      "DEBUG:Created approximate transformer\n",
      "DEBUG:Created transformer and options.\n",
      "DEBUG:Setting NUM_THREADS option: 1\n",
      "DEBUG:Warp Memory Limit set: 128\n",
      "DEBUG:Configured to warp src band 1 to destination band 1\n",
      "DEBUG:Set transformer options\n",
      "DEBUG:Chunk and warp window: 0, 0, 3601, 3601.\n",
      "DEBUG:CPLE_None in PROJ: Using coordinate operation Inverse of WGS 84 to EGM96 height (1) + WGS 84 to WGS 84 (G1150)\n",
      "DEBUG:CPLE_None in PROJ: pj_open_lib(us_nga_egm96_15.tif): call fopen(/srv/conda/envs/notebook/share/proj/us_nga_egm96_15.tif) - failed\n",
      "DEBUG:CPLE_None in PROJ: pj_open_lib(egm96_15.gtx): call fopen(/srv/conda/envs/notebook/share/proj/egm96_15.gtx) - failed\n",
      "DEBUG:CPLE_None in PROJ: Using https://cdn.proj.org/us_nga_egm96_15.tif\n",
      "DEBUG:CPLE_None in GDAL: GDALWarpKernel()::GWKRealCase() Src=0,0,3601x1800 Dst=0,0,3601x1800\n",
      "DEBUG:CPLE_None in GDAL: GDALWarpKernel()::GWKRealCase() Src=0,1800,3601x1801 Dst=0,1800,3601x1801\n",
      "DEBUG:CPLE_None in GDAL: GDALClose(Temporary destination dataset for _reproject(), this=0x565553c49a80)\n",
      "DEBUG:CPLE_None in GDAL: GDALClose(MEM:::DATAPOINTER=140092952743952,PIXELS=3601,LINES=3601,BANDS=1,DATATYPE=Int16, this=0x5655528c6280)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020.7302264751231\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:CPLE_None in GDAL: GDALClose(srtm_rio.tif, this=0x565555e182a0)\n",
      "DEBUG:CPLE_None in GDAL: GDALClose(N39W109.tif, this=0x5655537be3d0)\n",
      "DEBUG:Exiting env context: <rasterio.env.Env object at 0x7f69f8027fa0>\n",
      "DEBUG:Cleared existing <rasterio._env.GDALEnv object at 0x7f69f8027eb0> options\n",
      "DEBUG:Stopped GDALEnv <rasterio._env.GDALEnv object at 0x7f69f8027eb0>.\n",
      "DEBUG:Exiting outermost env\n",
      "DEBUG:Exited env context: <rasterio.env.Env object at 0x7f69f8027fa0>\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Array values modified!\n"
     ]
    }
   ],
   "source": [
    "from rasterio.warp import calculate_default_transform, reproject, Resampling\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "url = 'N39W109.tif'\n",
    "with rasterio.Env(CPL_DEBUG=True):\n",
    "    \n",
    "\n",
    "    with rasterio.open(url) as src:        \n",
    "        src_data = src.read()\n",
    "        print(src_data.mean()) \n",
    "        \n",
    "        # original metadata unaware of vertical reference\n",
    "        src_crs3D = rasterio.crs.CRS.from_epsg('9707')\n",
    "        dst_crs = rasterio.crs.CRS.from_epsg('7661')    \n",
    "        transform, width, height = calculate_default_transform(src_crs3D, \n",
    "                                                               dst_crs, \n",
    "                                                               src.width, \n",
    "                                                               src.height, \n",
    "                                                               *src.bounds)\n",
    "        kwargs = src.meta.copy()\n",
    "        kwargs.update({\n",
    "            'crs': dst_crs,\n",
    "            'transform': transform,\n",
    "            'width': width,\n",
    "            'height': height,\n",
    "            'dtype': np.float32,\n",
    "        })\n",
    "        \n",
    "        with rasterio.open('srtm_rio.tif', 'w', **kwargs) as dst:\n",
    "            dst_data = np.zeros((1,height,width))\n",
    "            reproject(source=src_data,\n",
    "                      destination=dst_data,\n",
    "                      src_transform=src.transform,\n",
    "                      src_crs=src_crs3D,\n",
    "                      dst_transform=transform,\n",
    "                      dst_crs=dst_crs,\n",
    "                      resampling=Resampling.nearest,\n",
    "                      apply_vertical_shift=True,\n",
    "                      warp_mem_limit=128\n",
    "                     )\n",
    "            \n",
    "            # Expect dst_data (ellipsoid) mean to be -15 meters\n",
    "            print(dst_data.mean())\n",
    "            dst.write(dst_data)\n",
    "            \n",
    "            try:\n",
    "                np.testing.assert_equal(src_data, dst_data)\n",
    "                print('Warning: array values unchanged')\n",
    "            except:\n",
    "                print('Array values modified!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7e582fec-a63e-432a-8d68-79a61841876d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Disable DEBUG logging\n",
    "logger.removeHandler(logger.handlers[-1])\n",
    "\n",
    "!wget -nc -q https://cdn.proj.org/us_nga_egm96_15.tif "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "41c1cc69-6554-419a-b5ca-28022addc126",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x600 with 8 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 482,
       "width": 976
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import rasterio, rasterio.plot\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format='retina'\n",
    "\n",
    "fig,ax = plt.subplots(1,6, sharex=True, sharey=True, figsize=(12,6))\n",
    "[a.axis('off') for a in ax[1:]]\n",
    "\n",
    "with rasterio.open('N39W109.tif') as src:\n",
    "    extent = (src.bounds.left, src.bounds.right, src.bounds.bottom, src.bounds.top)\n",
    "    orig = src.read(1)\n",
    "    rasterio.plot.show(src, ax=ax[0], cmap='gray')\n",
    "    ax[0].set_title('elevation')\n",
    "\n",
    "with rasterio.open('us_nga_egm96_15.tif') as src:\n",
    "    rasterio.plot.show(src, ax=ax[1], clim=(-18,-15))\n",
    "    ax[1].set_title('vshift grid')\n",
    "    plt.xlim(extent[0], extent[1])\n",
    "    plt.ylim(extent[2], extent[3])\n",
    "    \n",
    "with rasterio.open('srtm_gdal.tif') as src:\n",
    "    gdal = src.read(1)\n",
    "    plt.sca(ax[2])\n",
    "    plt.imshow(gdal-orig, extent=extent, clim=(-18,-15)); plt.title('gdal shift')\n",
    "    \n",
    "with rasterio.open('srtm_rio.tif') as src:\n",
    "    rio = src.read(1)\n",
    "    plt.sca(ax[3])\n",
    "    im = plt.imshow(rio-orig, extent=extent, clim=(-18,-15)); plt.title('rio shift');\n",
    "    left, bottom, width, height = ax[3].get_position().bounds\n",
    "    cax = fig.add_axes([left+width+0.01, bottom, width*0.05, height])\n",
    "    cb = plt.colorbar(im, orientation='vertical', cax=cax)\n",
    "    cb.set_label('meters')\n",
    "    \n",
    "# Append Residual plot\n",
    "plt.sca(ax[-1])\n",
    "pos = ax[-1].get_position()\n",
    "ax[-1].set_position([pos.x0 - 0.08, pos.y0, pos.width, pos.height])\n",
    "im = plt.imshow(gdal-rio, extent=extent, cmap='bwr'); plt.title('gdal-rio');\n",
    "left, bottom, width, height = ax[-1].get_position().bounds\n",
    "cax = fig.add_axes([left+width+0.01, bottom, width*0.05, height])\n",
    "cb = plt.colorbar(im, orientation='vertical', cax=cax)\n",
    "cb.set_label('meters')"
   ]
  }
 ],
 "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}