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remotesensinginfo · Dec 14, 2021 · f47da81 · f47da81
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diff --git a/au-eoed-beta-dev/Dockerfile b/au-eoed-beta-dev/Dockerfile
@@ -22,7 +22,8 @@ RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86
 # Use python 3.7, update conda base and install AU-EOED software stack
 RUN conda install --yes -c conda-forge python=3.9; sync && conda update --yes -n base conda; sync 
 #RUN conda install --yes -c au-eoed -c conda-forge python=3.9 rsgislib pb_process_tools scikit-learn scikit-image scikit-optimize matplotlib pandas statsmodels h5py scipy rasterio shapely sqlalchemy pycurl  numba pip sphinx rtree tqdm parallel plotly psutil pyyaml; sync 
-RUN conda install --yes -c au-eoed -c conda-forge python=3.9 rsgislib pb_process_tools scikit-learn scikit-image scikit-optimize statsmodels matplotlib pandas h5py scipy rasterio shapely sqlalchemy pycurl numba  pip sphinx rtree parallel plotly psutil pyyaml psycopg2; sync 
+#RUN conda install --yes -c au-eoed -c conda-forge python=3.9 rsgislib pb_process_tools scikit-learn scikit-image scikit-optimize statsmodels matplotlib pandas h5py scipy rasterio shapely sqlalchemy pycurl numba  pip sphinx rtree parallel plotly psutil pyyaml psycopg2; sync 
+RUN conda install --yes -c au-eoed -c conda-forge python=3.9 rsgislib pb_process_tools gdal=3.4 h5py scipy pip tqdm scikit-learn scikit-image sqlalchemy pycurl numba sphinx rtree pyyaml matplotlib pandas rtree 
 RUN chmod +x /opt/miniconda/bin/*; sync \
     && conda clean --all -y; sync \
     && conda clean -tipsy && sync

diff --git a/rsinfo_rsgislib_build/Dockerfile b/rsinfo_rsgislib_build/Dockerfile
@@ -24,7 +24,7 @@ RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86
 
 # Use python 3.9, update conda base and install AU-EOED software stack
 RUN conda install --yes -c conda-forge python=3.9; sync && conda update --yes -n base conda; sync && \
-    conda install --yes -c au-eoed -c conda-forge python=3.9 gdal geos gsl kealib xerces-c muparser boost-cpp rios scikit-learn scikit-image scikit-optimize scikit-plot scikit-fuzzy bayesian-optimization matplotlib pandas statsmodels h5py scipy rasterio shapely networkx sqlalchemy pycurl xgboost catboost lightgbm tpot seaborn ml_tooling cartopy numba pip sphinx elevation rtree luigi tqdm weasyprint jinja2 keras keras-preprocessing pytables parallel plotly bokeh pygal jupyterlab psutil pysal libpysal esda pyyaml netcdf4 xarray rasterstats fiona; sync \
+    conda install --yes -c au-eoed -c conda-forge python=3.9 gdal geos gsl kealib xerces-c muparser boost-cpp rios scikit-learn scikit-image scikit-optimize scikit-plot scikit-fuzzy bayesian-optimization matplotlib pandas statsmodels h5py scipy rasterio shapely networkx sqlalchemy pycurl xgboost catboost lightgbm tpot seaborn ml_tooling cartopy numba pip sphinx elevation rtree luigi tqdm weasyprint jinja2 keras keras-preprocessing pytables parallel plotly bokeh pygal jupyterlab psutil pysal libpysal esda pyyaml netcdf4 xarray rasterstats fiona cvxopt; sync \
     && chmod +x /opt/miniconda/bin/*; sync \
     && conda clean --all -y; sync \
     && conda clean -tipsy && sync