https://github.com/awesome-spectral-indices/espectro

The Awesome Spectral Indices Streamlit App.
https://github.com/awesome-spectral-indices/espectro

List: espectro

app geographic-information-systems gis landsat modis remote-sensing sentinel spectral spectral-indices spectrum streamlit

Last synced: 2 months ago
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The Awesome Spectral Indices Streamlit App.

• Host: GitHub
• URL: https://github.com/awesome-spectral-indices/espectro
• Owner: awesome-spectral-indices
• License: mit
• Created: 2022-02-14T21:44:41.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-07-28T14:04:20.000Z (about 2 years ago)
• Last Synced: 2024-05-22T05:00:39.017Z (4 months ago)
• Topics: app, geographic-information-systems, gis, landsat, modis, remote-sensing, sentinel, spectral, spectral-indices, spectrum, streamlit
• Language: Python
• Homepage: https://share.streamlit.io/davemlz/espectro/main/espectro.py
• Size: 3.62 MB
• Stars: 21
• Watchers: 2
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-ASI - Espectro - Official Streamlit Web App GitHub Repository [](https://share.streamlit.io/davemlz/espectro/main/espectro.py) (Apps / Streamlit)

README

        


  





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**GitHub**: github.com/davemlz/espectro

**Streamlit App**: share.streamlit.io/davemlz/espectro/main/espectro.py

**Awesome Spectral Indices**: github.com/davemlz/awesome-spectral-indices

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# Overview

**Espectro** is the official Awesome Spectral Indices Streamlit App. It offers users the tools to query spectral indices from [Awesome Spectral Indices](https://github.com/davemlz/awesome-spectral-indices), a curated ready-to-use list of spectral indices. Additionally, users can visualize the required bands for an index computation using [plotly](https://plotly.com/) and to download the requested indices as CSV files.

# The App

[![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/davemlz/espectro/main/espectro.py)

The app is powered by [streamlit](https://streamlit.io/). Key functions of the app can be found here:

- Filter spectral indices by application type.

- Filter spectral indices by bands.

- Display filtered indices as an interactive dataframe.

- Download filtered indices as CSV.

- Select a desired spectral indices to show its information.

- Display a plotly figure with the required bands for an index computation (for different platforms).