%global _empty_manifest_terminate_build 0 Name: python-aether Version: 0.3.37 Release: 1 Summary: Welcome to the Aether Platform License: MIT License URL: https://davidbernat.github.io/aether-user/html/index.html Source0: https://mirrors.nju.edu.cn/pypi/web/packages/1f/7e/bf82f29fb793d37cbf249eacbe82fceb63c524ac0a4e693eb35e11b0173e/aether-0.3.37.tar.gz BuildArch: noarch Requires: python3-dill Requires: python3-geocoder Requires: python3-utm Requires: python3-pyshp Requires: python3-Pillow Requires: python3-Shapely Requires: python3-aenum Requires: python3-numpy Requires: python3-pyproj Requires: python3-rasterio Requires: python3-six Requires: python3-tifffile Requires: python3-geojson Requires: python3-fiona Requires: python3-tensorflow Requires: python3-tensorboard Requires: python3-oauth2client %description # Welcome to Aether The Aether platform is a system of applications and utilities for developers to rapidly and easily build algorithms that use satellite and geospatial data. The Aether platform is accessible by REST API and python, but operates entirely in the cloud using deferred graphs. This allows developers to build and execute applications with processing abstracted away and minimal data transfer. An important consequence of this design choice is that the same algorithm code developers use during exploration can be repackaged and deployed as mobile or web applications. These applications are entirely portable, and can be published to users or other developers through a simple URL key. In that regard, the Aether platform is an SDK for satellite analytics and framework for mobile end user applications. The platform currently supports search of three publicly available Resources: The LandSat Archive (LandSat 4 through 8), Sentinel-2, and the USDA Cropland Data Layer, a 30m map of the US categorizing the agricultural land use annually. The platform is designed to rapidly add new data layers, making them available through the same interface. Resources can be hosted by Aether, or made accessible via owner API, and restricted to a subset of users. The usage of each Resource and its geographic usage is tracked as well. The Aether platform is designed to allow user-developers to compile and publish their applications as easily as they prototype, often with the same code. This tutorial demonstrates a developer creating an application that generates an NDVI map from LandSat imagery for an arbitrary polygon, which does not need to be specified until runtime by the end user (or mobile device). %package -n python3-aether Summary: Welcome to the Aether Platform Provides: python-aether BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-aether # Welcome to Aether The Aether platform is a system of applications and utilities for developers to rapidly and easily build algorithms that use satellite and geospatial data. The Aether platform is accessible by REST API and python, but operates entirely in the cloud using deferred graphs. This allows developers to build and execute applications with processing abstracted away and minimal data transfer. An important consequence of this design choice is that the same algorithm code developers use during exploration can be repackaged and deployed as mobile or web applications. These applications are entirely portable, and can be published to users or other developers through a simple URL key. In that regard, the Aether platform is an SDK for satellite analytics and framework for mobile end user applications. The platform currently supports search of three publicly available Resources: The LandSat Archive (LandSat 4 through 8), Sentinel-2, and the USDA Cropland Data Layer, a 30m map of the US categorizing the agricultural land use annually. The platform is designed to rapidly add new data layers, making them available through the same interface. Resources can be hosted by Aether, or made accessible via owner API, and restricted to a subset of users. The usage of each Resource and its geographic usage is tracked as well. The Aether platform is designed to allow user-developers to compile and publish their applications as easily as they prototype, often with the same code. This tutorial demonstrates a developer creating an application that generates an NDVI map from LandSat imagery for an arbitrary polygon, which does not need to be specified until runtime by the end user (or mobile device). %package help Summary: Development documents and examples for aether Provides: python3-aether-doc %description help # Welcome to Aether The Aether platform is a system of applications and utilities for developers to rapidly and easily build algorithms that use satellite and geospatial data. The Aether platform is accessible by REST API and python, but operates entirely in the cloud using deferred graphs. This allows developers to build and execute applications with processing abstracted away and minimal data transfer. An important consequence of this design choice is that the same algorithm code developers use during exploration can be repackaged and deployed as mobile or web applications. These applications are entirely portable, and can be published to users or other developers through a simple URL key. In that regard, the Aether platform is an SDK for satellite analytics and framework for mobile end user applications. The platform currently supports search of three publicly available Resources: The LandSat Archive (LandSat 4 through 8), Sentinel-2, and the USDA Cropland Data Layer, a 30m map of the US categorizing the agricultural land use annually. The platform is designed to rapidly add new data layers, making them available through the same interface. Resources can be hosted by Aether, or made accessible via owner API, and restricted to a subset of users. The usage of each Resource and its geographic usage is tracked as well. The Aether platform is designed to allow user-developers to compile and publish their applications as easily as they prototype, often with the same code. This tutorial demonstrates a developer creating an application that generates an NDVI map from LandSat imagery for an arbitrary polygon, which does not need to be specified until runtime by the end user (or mobile device). %prep %autosetup -n aether-0.3.37 %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-aether -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 0.3.37-1 - Package Spec generated