create conda env tools and notes

data/bridges/conda_fim_bridges_enviro.yml

@@ -0,0 +1,278 @@
+name: fim_bridges
+channels:
+  - conda-forge
+  - defaults
+  - https://repo.anaconda.com/pkgs/main
+  - https://repo.anaconda.com/pkgs/r
+  - https://repo.anaconda.com/pkgs/msys2
+dependencies:
+  - _libavif_api=1.1.1=h57928b3_2
+  - affine=2.3.0=pyhd3eb1b0_0
+  - aom=3.9.1=he0c23c2_0
+  - attrs=24.3.0=py312haa95532_0
+  - aws-c-auth=0.8.1=hd11252f_0
+  - aws-c-cal=0.8.1=h099ea23_3
+  - aws-c-common=0.10.6=h2466b09_0
+  - aws-c-compression=0.3.0=h099ea23_5
+  - aws-c-event-stream=0.5.0=h85d8506_11
+  - aws-c-http=0.9.2=h3888f84_4
+  - aws-c-io=0.15.3=hc5a9e45_6
+  - aws-c-mqtt=0.11.0=h2c94728_12
+  - aws-c-s3=0.7.9=h6a47413_1
+  - aws-c-sdkutils=0.2.2=h099ea23_0
+  - aws-checksums=0.2.2=h099ea23_4
+  - aws-crt-cpp=0.29.9=he488853_2
+  - aws-sdk-cpp=1.11.489=h7d73209_0
+  - azure-core-cpp=1.14.0=haf5610f_0
+  - azure-identity-cpp=1.10.0=hd6deed7_0
+  - azure-storage-blobs-cpp=12.13.0=h3241184_1
+  - azure-storage-common-cpp=12.8.0=hd6deed7_1
+  - blas=1.0=mkl
+  - blosc=1.21.6=hfd34d9b_1
+  - boost-cpp=1.85.0=ha5ead02_4
+  - bottleneck=1.4.2=py312h4b0e54e_0
+  - branca=0.6.0=py312haa95532_0
+  - brotli-python=1.0.9=py312h5da7b33_9
+  - bzip2=1.0.8=h2bbff1b_6
+  - c-ares=1.34.4=h2466b09_0
+  - ca-certificates=2025.1.31=h56e8100_0
+  - cairo=1.18.2=h5782bbf_1
+  - capnproto=1.0.2=hb5d7e06_3
+  - ceres-solver=2.2.0=hd842749_5
+  - certifi=2025.1.31=py312haa95532_0
+  - cfitsio=4.5.0=h2b45a09_0
+  - charset-normalizer=3.3.2=pyhd3eb1b0_0
+  - click=8.1.7=py312haa95532_0
+  - click-plugins=1.1.1=pyhd3eb1b0_0
+  - cligj=0.7.2=pyhd3eb1b0_0
+  - colorama=0.4.6=py312haa95532_0
+  - contourpy=1.3.1=py312h214f63a_0
+  - cycler=0.11.0=pyhd3eb1b0_0
+  - dav1d=1.2.1=hcfcfb64_0
+  - draco=1.5.7=h181d51b_0
+  - eigen=3.4.0=h91493d7_0
+  - expat=2.6.4=h8ddb27b_0
+  - fiona=1.10.1=py312h6e88f47_3
+  - fmt=11.0.2=h7f575de_0
+  - folium=0.14.0=py312haa95532_0
+  - font-ttf-dejavu-sans-mono=2.37=hab24e00_0
+  - font-ttf-inconsolata=3.000=h77eed37_0
+  - font-ttf-source-code-pro=2.038=h77eed37_0
+  - font-ttf-ubuntu=0.83=h77eed37_3
+  - fontconfig=2.15.0=h765892d_1
+  - fonts-conda-ecosystem=1=0
+  - fonts-conda-forge=1=0
+  - fonttools=4.55.3=py312h827c3e9_0
+  - freetype=2.12.1=hdaf720e_2
+  - freexl=2.0.0=hd7a5696_0
+  - gdal=3.10.1=py312hc39d689_2
+  - geopandas=0.14.4=pyhd8ed1ab_0
+  - geopandas-base=0.14.4=pyha770c72_0
+  - geos=3.13.0=h5a68840_0
+  - geotiff=1.7.3=h496ac4d_3
+  - gflags=2.2.2=he0c23c2_1005
+  - glib=2.82.2=h3d4babf_1
+  - glib-tools=2.82.2=h4394cf3_1
+  - glog=0.7.1=h3ff59bf_0
+  - gmp=6.3.0=h537511b_0
+  - hdf4=4.2.15=h5557f11_7
+  - hdf5=1.14.3=nompi_hb2c4d47_109
+  - icc_rt=2022.1.0=h6049295_2
+  - icu=75.1=he0c23c2_0
+  - idna=3.7=py312haa95532_0
+  - intel-openmp=2023.1.0=h59b6b97_46320
+  - jinja2=3.1.5=py312haa95532_0
+  - joblib=1.4.2=py312haa95532_0
+  - kealib=1.6.1=hadd4d7f_0
+  - kiwisolver=1.4.8=py312h5da7b33_0
+  - krb5=1.21.3=hdf4eb48_0
+  - lcms2=2.17=hbcf6048_0
+  - lerc=4.0.0=h5da7b33_0
+  - libabseil=20240722.0=cxx17_h4eb7d71_4
+  - libaec=1.1.3=h63175ca_0
+  - libamd=3.3.3=ss783_h38ac50e
+  - libarchive=3.7.7=h979ed78_3
+  - libarrow=17.0.0=hc3bbc16_47_cpu
+  - libarrow-acero=17.0.0=h7d8d6a5_47_cpu
+  - libarrow-dataset=17.0.0=h7d8d6a5_47_cpu
+  - libavif16=1.1.1=h4d049a7_2
+  - libblas=3.9.0=1_h8933c1f_netlib
+  - libboost=1.85.0=h444863b_4
+  - libboost-devel=1.85.0=h91493d7_4
+  - libboost-headers=1.85.0=h57928b3_4
+  - libbrotlicommon=1.1.0=h2466b09_2
+  - libbrotlidec=1.1.0=h2466b09_2
+  - libbrotlienc=1.1.0=h2466b09_2
+  - libbtf=2.3.2=ss783_hde22806
+  - libcamd=3.3.3=ss783_hde22806
+  - libcblas=3.9.0=8_h719fc58_netlib
+  - libccolamd=3.3.4=ss783_hde22806
+  - libcholmod=5.3.0=ss783_h9a56889
+  - libcolamd=3.3.4=ss783_hde22806
+  - libcrc32c=1.1.2=h0e60522_0
+  - libcurl=8.11.1=h88aaa65_0
+  - libcxsparse=4.4.1=ss783_hde22806
+  - libde265=1.0.15=h91493d7_0
+  - libdeflate=1.23=h9062f6e_0
+  - libevent=2.1.12=h3671451_1
+  - libexpat=2.6.4=he0c23c2_0
+  - libffi=3.4.4=hd77b12b_1
+  - libgdal=3.10.1=hc25ceda_2
+  - libgdal-arrow-parquet=3.10.1=h9c6c97a_2
+  - libgdal-core=3.10.1=h095903c_2
+  - libgdal-fits=3.10.1=h20f9414_2
+  - libgdal-grib=3.10.1=h9921521_2
+  - libgdal-hdf4=3.10.1=hf9aff8f_2
+  - libgdal-hdf5=3.10.1=h7df419c_2
+  - libgdal-jp2openjpeg=3.10.1=h768cd86_2
+  - libgdal-kea=3.10.1=hfc54ade_2
+  - libgdal-netcdf=3.10.1=h3717446_2
+  - libgdal-pdf=3.10.1=h33ae9eb_2
+  - libgdal-pg=3.10.1=h5e54256_2
+  - libgdal-postgisraster=3.10.1=h5e54256_2
+  - libgdal-tiledb=3.10.1=h8d6a7ae_2
+  - libgdal-xls=3.10.1=hd0c044b_2
+  - libglib=2.82.2=h7025463_1
+  - libgoogle-cloud=2.34.0=h95c5cb2_0
+  - libgoogle-cloud-storage=2.34.0=he5eb982_0
+  - libgrpc=1.67.1=h0ac93cb_1
+  - libheif=1.19.5=gpl_hc631cee_100
+  - libiconv=1.17=hcfcfb64_2
+  - libintl=0.22.5=h5728263_3
+  - libintl-devel=0.22.5=h5728263_3
+  - libjpeg-turbo=3.0.0=hcfcfb64_1
+  - libklu=2.3.5=ss783_h77d05f4
+  - libkml=1.3.0=h538826c_1021
+  - liblapack=3.9.0=8_h719fc58_netlib
+  - libldl=3.3.2=ss783_hde22806
+  - liblzma=5.6.4=h2466b09_0
+  - libnetcdf=4.9.2=nompi_h008f77d_116
+  - libparquet=17.0.0=ha850022_47_cpu
+  - libparu=1.0.0=ss783_h21e6e03
+  - libpdal=2.8.3=h7c24d9f_1
+  - libpdal-arrow=2.8.3=ha7d42d9_1
+  - libpdal-core=2.8.3=h7b54269_1
+  - libpdal-draco=2.8.3=ha2c8d63_1
+  - libpdal-e57=2.8.3=hb58253e_1
+  - libpdal-hdf=2.8.3=hb9e256b_1
+  - libpdal-icebridge=2.8.3=hb9e256b_1
+  - libpdal-nitf=2.8.3=hd077b48_1
+  - libpdal-pgpointcloud=2.8.3=ha2ce333_1
+  - libpdal-tiledb=2.8.3=h0741228_1
+  - libpdal-trajectory=2.8.3=h1c12469_1
+  - libpng=1.6.46=had7236b_0
+  - libpq=17.2=h81f3393_1
+  - libprotobuf=5.28.3=h8309712_1
+  - librbio=4.3.4=ss783_hde22806
+  - libre2-11=2024.07.02=h4eb7d71_2
+  - librttopo=1.1.0=hd4c2148_17
+  - libspatialindex=1.9.3=h6c2663c_0
+  - libspatialite=5.1.0=h939089a_12
+  - libspex=3.2.1=ss783_hcfd7fc7
+  - libspqr=4.3.4=ss783_hc35ff37
+  - libsqlite=3.48.0=h67fdade_1
+  - libssh2=1.11.1=he619c9f_0
+  - libsuitesparseconfig=7.8.3=ss783_ha9923ec
+  - libthrift=0.21.0=hbe90ef8_0
+  - libtiff=4.7.0=h797046b_3
+  - libumfpack=6.3.5=ss783_h35348e5
+  - libutf8proc=2.10.0=hf9b99b7_0
+  - libwebp-base=1.5.0=h3b0e114_0
+  - libxcb=1.16=h013a479_1
+  - libxml2=2.13.5=he286e8c_1
+  - libxslt=1.1.39=h3df6e99_0
+  - libzip=1.11.2=h3135430_0
+  - libzlib=1.3.1=h2466b09_2
+  - lz4-c=1.10.0=h2466b09_1
+  - lzo=2.10=hcfcfb64_1001
+  - m2w64-gcc-libgfortran=5.3.0=6
+  - m2w64-gcc-libs=5.3.0=7
+  - m2w64-gcc-libs-core=5.3.0=7
+  - m2w64-gmp=6.1.0=2
+  - m2w64-libwinpthread-git=5.0.0.4634.697f757=2
+  - mapclassify=2.5.0=py312haa95532_0
+  - markupsafe=3.0.2=py312h827c3e9_0
+  - matplotlib-base=3.10.0=py312he19b0ae_0
+  - metis=5.1.0=h17e2fc9_1007
+  - minizip=4.0.7=h9fa1bad_3
+  - mkl=2023.1.0=h6b88ed4_46358
+  - mkl-service=2.4.0=py312h827c3e9_2
+  - mkl_fft=1.3.11=py312h827c3e9_0
+  - mkl_random=1.2.8=py312h0158946_0
+  - mpfr=4.2.1=h56c3642_0
+  - msys2-conda-epoch=20160418=1
+  - networkx=3.4.2=py312haa95532_0
+  - nitro=2.7.dev8=h1537add_0
+  - numexpr=2.10.1=py312h4cd664f_0
+  - numpy=1.26.4=py312hfd52020_0
+  - numpy-base=1.26.4=py312h4dde369_0
+  - openjpeg=2.5.3=h4d64b90_0
+  - openssl=3.4.0=ha4e3fda_1
+  - orc=2.0.3=haf104fe_2
+  - packaging=24.2=py312haa95532_0
+  - pandas=2.2.3=py312h5da7b33_0
+  - pcre2=10.44=h3d7b363_2
+  - pdal=2.8.3=hd8ed1ab_0
+  - pillow=10.4.0=py312h381445a_1
+  - pip=25.0=py312haa95532_0
+  - pixman=0.44.2=had0cd8c_0
+  - poppler=24.12.0=heaa0bce_2
+  - poppler-data=0.4.11=haa95532_1
+  - postgresql=17.2=h998eeb8_1
+  - proj=9.5.1=h4f671f6_0
+  - pthread-stubs=0.4=hcd874cb_1001
+  - pyparsing=3.2.0=py312haa95532_0
+  - pyproj=3.7.0=py312ha24589b_0
+  - pysocks=1.7.1=py312haa95532_0
+  - python=3.12.8=h3f84c4b_1_cpython
+  - python-dateutil=2.9.0post0=py312haa95532_2
+  - python-tzdata=2023.3=pyhd3eb1b0_0
+  - python_abi=3.12=5_cp312
+  - pytz=2024.1=py312haa95532_0
+  - qhull=2020.2=h59b6b97_2
+  - rasterio=1.4.3=py312hc0daee4_0
+  - rav1e=0.6.6=h975169c_2
+  - re2=2024.07.02=haf4117d_2
+  - requests=2.32.3=py312haa95532_1
+  - rioxarray=0.18.1=py312haa95532_0
+  - rtree=1.0.1=py312h2eaa2aa_0
+  - scikit-learn=1.6.1=py312h585ebfc_0
+  - scipy=1.15.1=py312hbb039d4_0
+  - setuptools=75.8.0=py312haa95532_0
+  - shapely=2.0.7=py312h0c580ee_0
+  - six=1.16.0=pyhd3eb1b0_1
+  - snappy=1.2.1=h500f7fa_1
+  - snuggs=1.4.7=pyhd3eb1b0_0
+  - spdlog=1.15.1=hf4138ee_0
+  - sqlite=3.45.3=h2bbff1b_0
+  - suitesparse=7.8.3=ss783_hf1e1ef2
+  - svt-av1=2.3.0=he0c23c2_0
+  - tbb=2021.8.0=h59b6b97_0
+  - threadpoolctl=3.5.0=py312hfc267ef_0
+  - tiledb=2.27.0=h13fc995_8
+  - tk=8.6.13=h5226925_1
+  - tqdm=4.67.1=py312hfc267ef_0
+  - tzdata=2025a=h04d1e81_0
+  - ucrt=10.0.22621.0=h57928b3_1
+  - unicodedata2=15.1.0=py312h827c3e9_1
+  - uriparser=0.9.8=h5a68840_0
+  - urllib3=2.3.0=py312haa95532_0
+  - vc=14.42=haa95532_4
+  - vc14_runtime=14.42.34433=h6356254_24
+  - vs2015_runtime=14.42.34433=hfef2bbc_24
+  - wheel=0.45.1=py312haa95532_0
+  - win_inet_pton=1.1.0=py312haa95532_0
+  - x265=3.5=h2d74725_3
+  - xarray=2024.11.0=py312haa95532_0
+  - xerces-c=3.2.5=he0c23c2_2
+  - xorg-libxau=1.0.11=hcd874cb_0
+  - xorg-libxdmcp=1.1.3=hcd874cb_0
+  - xyzservices=2022.9.0=py312haa95532_1
+  - xz=5.4.6=h8cc25b3_1
+  - zlib=1.3.1=h2466b09_2
+  - zstd=1.5.6=h0ea2cb4_0
+  - pip:
+      - laspy==2.5.4
+      - pdal-plugins==1.6.2
+      - python-pdal==0.0.1
+prefix: C:\Users\rdp-user\anaconda3\envs\fim_bridges

data/bridges/make_rasters_using_lidar.py

@@ -257,7 +257,7 @@ def process_bridges_lidar_data(OSM_bridge_file, buffer_width, raster_resolution,
         os.makedirs(point_dir, exist_ok=True)
         os.makedirs(tif_files_dir, exist_ok=True)
 
-        text = 'read osm bridge lines and make a polygon foortprint'
+        text = 'read osm bridge lines and make a polygon footprint'
         print(text)
         logging.info(text)
         OSM_bridge_lines_gdf = gpd.read_file(OSM_bridge_file)

data/bridges/setup_conda_for_make_rasters.txt

@@ -0,0 +1,37 @@
+
+To run  make_rasters_using_lidar.py, it must be run in a windows conda enviro.  It might work in a linux/ubuntu enviro but has not been tested.
+
+To setup your Conda enviro for the tool. You will only need to set it up once, then from there one, you can just turn it on/off (activate / deactivate)
+	1) Open Anaconda Window
+
+	2) Path to the directory where your source code is at (adjusting for path):
+	   ie) cd C:\Users\rdp-user\Projects\dev-lidar-bridges2\inundation-mapping\data\bridges
+
+	3) run :   conda env create --file=conda_fim_bridges_enviro.yml
+
+		At some point earlier one, it might ask you to continue (y/n), enter "y". It will take up to 2 - 10 mins to run.
+
+		When it is done and back to command line, you can type the following to see if the enviro is setup correctly
+		conda env list  (and you should see somethign similar to:)
+
+			# conda environments:
+			#
+			base                 * C:\Users\rdp-user\anaconda3
+			fim_bridges            C:\Users\rdp-user\anaconda3\envs\fim_bridges
+
+			(and there may be more enviros from previous projects which is fine.
+
+To activate it (turn it on) and run it
+	• conda activate fim_bridges
+
+Make sure you are in the directory you want:  ie)  cd C:\Users\rdp-user\Projects\dev-lidar-bridges2\inundation-mapping\data\bridges
+
+	• Now we can run it. Adjusting for pathing:
+
+	python make_rasters_using_lidar.py -i C:\Users\rdp-user\Projects\Lidar_bridges\20250207\conus_osm_bridges.gpkg -o C:\Users\rdp-user\Projects\Lidar_bridges\20250207\conus_osm_lidar_rasters\
+
+	• It may take 48 hours (wildly ish, depending on your computer specs)
+
+When you are done, you can type:
+	conda deactivate
+