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SlideRule Earth Example Notebooks: On-demand, cloud-based processing of satellite mission data (NASA ICESat-2, GEDI, ArcticDEM/REMA, HLS)

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sliderule-python

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Example notebooks that use SlideRule's Python client for processing Earth science data.

Overview

Detailed documentation on installing and using the SlideRule Python client can be found at slideruleearth.io.

NOTE: As of 3/10/2023 the source code for SlideRule's Python client has moved to the sliderule repository. This sliderule-python repository continues to function as a collection of example notebooks that use the SlideRule Python client and demonstrate common workflows.

Getting Started

The easiest way to install the Sliderule Python client and run the example notebooks in this repository is to create a conda environment from the provided environment.yml file:

conda env create -f environment.yml
conda activate sliderule_env

If you have your own conda environment that you want to install the SlideRule Python client into, then:

conda activate my_env
conda install -c conda-forge sliderule

If you already have the SlideRule Python client installed in a conda environment and want to update to the latest version, then:

conda activate sliderule_env
conda update -c conda-forge sliderule

For alternate methods to install SlideRule, including options for developers, please see the installation instructions.

Documentation

Please see our documentation page for reference and user's guide material.

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SlideRule Earth Example Notebooks: On-demand, cloud-based processing of satellite mission data (NASA ICESat-2, GEDI, ArcticDEM/REMA, HLS)

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