interactive-sentinel-2-cookbook
Recipe for building an interactive dashboard for the Sentinel-2 L2A satellite imagery using the holoviews ecosystem.
https://github.com/projectpythia/interactive-sentinel-2-cookbook
Science Score: 44.0%
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✓CITATION.cff file
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○Scientific vocabulary similarity
Low similarity (13.1%) to scientific vocabulary
Repository
Recipe for building an interactive dashboard for the Sentinel-2 L2A satellite imagery using the holoviews ecosystem.
Basic Info
- Host: GitHub
- Owner: ProjectPythia
- License: apache-2.0
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://projectpythia.org/interactive-sentinel-2-cookbook/
- Size: 23.7 MB
Statistics
- Stars: 3
- Watchers: 1
- Forks: 8
- Open Issues: 2
- Releases: 1
Metadata Files
README.md
Sentinel-2 L2A Interactive Dashboard
This Project Pythia Cookbook provides a recipe for building an interactive dashboard for the Sentinel-2 L2A satellite imagery using the holoviews ecosystem.
Authors
Contributors
Structure
This cookbook currently has one recipe in the Introduction section.
Running the Notebooks
You can either run the notebook using Binder or on your local machine.
Running on Binder
The simplest way to interact with a Jupyter Notebook is through
Binder, which enables the execution of a
Jupyter Book in the cloud. The details of how this works are not
important for now. All you need to know is how to launch a Pythia
Cookbooks chapter via Binder. Simply navigate your mouse to
the top right corner of the book chapter you are viewing and click
on the rocket ship icon, (see figure below), and be sure to select
“launch Binder”. After a moment you should be presented with a
notebook that you can interact with. I.e. you’ll be able to execute
and even change the example programs. You’ll see that the code cells
have no output at first, until you execute them by pressing
{kbd}Shift+{kbd}Enter. Complete details on how to interact with
a live Jupyter notebook are described in Getting Started with
Jupyter.
Running on Your Own Machine
If you are interested in running this material locally on your computer, you will need to follow this workflow:
- Clone the
https://github.com/pritamd47/interactive-sentinel-2repository:
bash
git clone https://github.com/pritamd47/interactive-sentinel-2.git
- Move into the
cookbook-exampledirectorybash cd interactive-sentinel-2 - Create and activate your conda environment from the
environment.ymlfilebash conda env create -f environment.yml conda activate interactive-sentinel-2 - Move into the
notebooksdirectory and start up Jupyterlabbash cd notebooks/ jupyter lab
Owner
- Name: Project Pythia
- Login: ProjectPythia
- Kind: organization
- Email: projectpythia@ucar.edu
- Location: United States of America
- Website: projectpythia.org
- Twitter: Project_Pythia
- Repositories: 21
- Profile: https://github.com/ProjectPythia
Community learning resource for Python-based computing in the geosciences
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this cookbook, please cite it as below."
authors:
# add additional entries for each author -- see https://github.com/citation-file-format/citation-file-format/blob/main/schema-guide.md
- family-names: Das
given-names: Pritam
orcid: https://orcid.org/0000-0003-4795-4736 # optional
website: https://github.com/pritamd47 # optional
affiliation: University of Washington # optional
- name: "This Cookbook contributors" # use the 'name' field to acknowledge organizations
website: "https://github.com/ProjectPythia/this-cookbook/graphs/contributors"
title: "Sentinel-2 L2A Interactive Dashboard"
abstract: "This Project Pythia Cookbook provides a recipe for building an interactive dashboard for the Sentinel-2 L2A satellite imagery using the holoviews ecosystem."
GitHub Events
Total
- Issue comment event: 1
- Push event: 60
- Pull request event: 1
- Fork event: 1
- Create event: 1
Last Year
- Issue comment event: 1
- Push event: 60
- Pull request event: 1
- Fork event: 1
- Create event: 1
Dependencies
- bokeh
- dask
- distributed
- geoviews
- hvplot
- jupyter-book
- jupyter_bokeh
- jupyter_server
- jupyterlab
- matplotlib
- odc-stac
- pandas
- panel
- planetary-computer
- pydantic
- pystac-client
- python >=3.9
- sphinx-pythia-theme
- xarray