%global _empty_manifest_terminate_build 0 Name: python-dea-tools Version: 0.2.7 Release: 1 Summary: Functions and algorithms for analysing Digital Earth Australia data. License: Apache License 2.0 URL: https://github.com/GeoscienceAustralia/dea-notebooks Source0: https://mirrors.aliyun.com/pypi/web/packages/f8/da/65a13d5b636e50899cba894a0773812a8af3868b8d231155d1586299f879/dea-tools-0.2.7.tar.gz BuildArch: noarch Requires: python3-ciso8601 Requires: python3-pytz Requires: python3-requests Requires: python3-lxml Requires: python3-numpy Requires: python3-xarray Requires: python3-geopandas Requires: python3-datacube Requires: python3-tqdm Requires: python3-dask Requires: python3-rasterio Requires: python3-scikit-learn Requires: python3-rasterstats Requires: python3-geopy Requires: python3-pandas Requires: python3-scipy Requires: python3-GDAL Requires: python3-odc-ui Requires: python3-numexpr Requires: python3-matplotlib Requires: python3-folium Requires: python3-pyproj Requires: python3-branca Requires: python3-shapely Requires: python3-scikit-image Requires: python3-dateutil Requires: python3-OWSLib Requires: python3-boto3 Requires: python3-IPython Requires: python3-ipywidgets Requires: python3-ipyleaflet %description Python functions and algorithms developed to assist in analysing Digital Earth Australia (DEA) data (e.g. loading data, plotting, spatial analysis, machine learning). This includes the following modules: **Loading data** - ``dea_tools.datahandling``: Loading and handling DEA data (e.g. combining multiple products, handling CRSs, pansharpening) **Plotting and transforming data** - ``dea_tools.plotting``: Plotting DEA data (e.g. RGB plots, animations, interactive maps) - ``dea_tools.bandindices.py``: Calculating remote sensing band indices (e.g. NDVI, NDWI) **Spatial and temporal analysis** - ``dea_tools.spatial``: Spatial analysis tools (e.g. rasterising, vectorising, contour extraction, image processing) - ``dea_tools.temporal``: Temporal analysis tools (e.g. phenology, temporal statistics, multi-dimensional regression) **Classification and segmentation** - ``dea_tools.classification.py``: Machine learning classification (e.g. training and applying machine learning models on satellite data) - ``dea_tools.segmentation.py``: Image segmentation tools (e.g. applying image segementation with RSGISLIB) **Parallel processing** - ``dea_tools.dask``: Parallel processing with Dask (e.g. creating Dask clusters for scalable analysis) **Domain-specific analysis** - ``dea_tools.land_cover``: Functions for plotting Digital Earth Australia Land Cover data. - ``dea_tools.coastal``: Coastal and intertidal analysis tools (e.g. tidal tagging, coastal change timeseries) - ``dea_tools.bom``: Loading Bureau of Meteorology water data service data (e.g. guage data, discharge data) - ``dea_tools.climate``: Retrieving and manipulating gridded climate data (e.g. ERA5) - ``dea_tools.waterbodies``: Loading and processing DEA Waterbodies data (e.g. finding and loading waterbody timeseries data) %package -n python3-dea-tools Summary: Functions and algorithms for analysing Digital Earth Australia data. Provides: python-dea-tools BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-dea-tools Python functions and algorithms developed to assist in analysing Digital Earth Australia (DEA) data (e.g. loading data, plotting, spatial analysis, machine learning). This includes the following modules: **Loading data** - ``dea_tools.datahandling``: Loading and handling DEA data (e.g. combining multiple products, handling CRSs, pansharpening) **Plotting and transforming data** - ``dea_tools.plotting``: Plotting DEA data (e.g. RGB plots, animations, interactive maps) - ``dea_tools.bandindices.py``: Calculating remote sensing band indices (e.g. NDVI, NDWI) **Spatial and temporal analysis** - ``dea_tools.spatial``: Spatial analysis tools (e.g. rasterising, vectorising, contour extraction, image processing) - ``dea_tools.temporal``: Temporal analysis tools (e.g. phenology, temporal statistics, multi-dimensional regression) **Classification and segmentation** - ``dea_tools.classification.py``: Machine learning classification (e.g. training and applying machine learning models on satellite data) - ``dea_tools.segmentation.py``: Image segmentation tools (e.g. applying image segementation with RSGISLIB) **Parallel processing** - ``dea_tools.dask``: Parallel processing with Dask (e.g. creating Dask clusters for scalable analysis) **Domain-specific analysis** - ``dea_tools.land_cover``: Functions for plotting Digital Earth Australia Land Cover data. - ``dea_tools.coastal``: Coastal and intertidal analysis tools (e.g. tidal tagging, coastal change timeseries) - ``dea_tools.bom``: Loading Bureau of Meteorology water data service data (e.g. guage data, discharge data) - ``dea_tools.climate``: Retrieving and manipulating gridded climate data (e.g. ERA5) - ``dea_tools.waterbodies``: Loading and processing DEA Waterbodies data (e.g. finding and loading waterbody timeseries data) %package help Summary: Development documents and examples for dea-tools Provides: python3-dea-tools-doc %description help Python functions and algorithms developed to assist in analysing Digital Earth Australia (DEA) data (e.g. loading data, plotting, spatial analysis, machine learning). This includes the following modules: **Loading data** - ``dea_tools.datahandling``: Loading and handling DEA data (e.g. combining multiple products, handling CRSs, pansharpening) **Plotting and transforming data** - ``dea_tools.plotting``: Plotting DEA data (e.g. RGB plots, animations, interactive maps) - ``dea_tools.bandindices.py``: Calculating remote sensing band indices (e.g. NDVI, NDWI) **Spatial and temporal analysis** - ``dea_tools.spatial``: Spatial analysis tools (e.g. rasterising, vectorising, contour extraction, image processing) - ``dea_tools.temporal``: Temporal analysis tools (e.g. phenology, temporal statistics, multi-dimensional regression) **Classification and segmentation** - ``dea_tools.classification.py``: Machine learning classification (e.g. training and applying machine learning models on satellite data) - ``dea_tools.segmentation.py``: Image segmentation tools (e.g. applying image segementation with RSGISLIB) **Parallel processing** - ``dea_tools.dask``: Parallel processing with Dask (e.g. creating Dask clusters for scalable analysis) **Domain-specific analysis** - ``dea_tools.land_cover``: Functions for plotting Digital Earth Australia Land Cover data. - ``dea_tools.coastal``: Coastal and intertidal analysis tools (e.g. tidal tagging, coastal change timeseries) - ``dea_tools.bom``: Loading Bureau of Meteorology water data service data (e.g. guage data, discharge data) - ``dea_tools.climate``: Retrieving and manipulating gridded climate data (e.g. ERA5) - ``dea_tools.waterbodies``: Loading and processing DEA Waterbodies data (e.g. finding and loading waterbody timeseries data) %prep %autosetup -n dea-tools-0.2.7 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-dea-tools -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Jun 20 2023 Python_Bot - 0.2.7-1 - Package Spec generated