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

The Awesome Spectral Indices Streamlit App.

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

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.1%) to scientific vocabulary

Keywords

app geographic-information-systems gis landsat modis remote-sensing sentinel spectral spectral-indices spectrum streamlit
Last synced: 5 months ago · JSON representation

Repository

The Awesome Spectral Indices Streamlit App.

Basic Info
Statistics
  • Stars: 24
  • Watchers: 2
  • Forks: 3
  • Open Issues: 0
  • Releases: 0
Topics
app geographic-information-systems gis landsat modis remote-sensing sentinel spectral spectral-indices spectrum streamlit
Created about 4 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

Espectro

The Awesome Spectral Indices Streamlit App.

Awesome Streamlit Awesome Spectral Indices GitHub Sponsors Buy me a coffee Ko-fi Twitter Black


GitHub: github.com/davemlz/espectro

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

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


Overview

Espectro is the official Awesome Spectral Indices Streamlit App. It offers users the tools to query spectral indices from 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 and to download the requested indices as CSV files.

The App

Open in Streamlit

The app is powered by streamlit. 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).

Espectro App

Owner

  • Name: Awesome Spectral Indices
  • Login: awesome-spectral-indices
  • Kind: organization

Awesome Spectral Indices Ecosystem Organization

GitHub Events

Total
  • Watch event: 2
Last Year
  • Watch event: 2

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 16
  • Total Committers: 1
  • Avg Commits per committer: 16.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
davemlz d****t@g****m 16

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 2
  • Total pull requests: 0
  • Average time to close issues: 4 months
  • Average time to close pull requests: N/A
  • Total issue authors: 2
  • Total pull request authors: 0
  • Average comments per issue: 2.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • RachelRS17 (1)
  • Daniel-Trung-Nguyen (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Dependencies

requirements.txt pypi
  • numpy *
  • pandas *
  • plotly *
  • requests *