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%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 <Python_Bot@openeuler.org> - 0.2.7-1
- Package Spec generated
|
