https://github.com/awesome-spectral-indices/awesome-asi
A curated list of Awesome Spectral Indices (ASI) resources
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 10 DOI reference(s) in README -
✓Academic publication links
Links to: nature.com -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.7%) to scientific vocabulary
Keywords
earth-engine
earth-observation
geographical-information-system
gis
google-earth-engine
javascript
landsat
modis
python
r
remote-sensing
sentinel
spectral-index
spectral-indices
Last synced: 5 months ago
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JSON representation
Repository
A curated list of Awesome Spectral Indices (ASI) resources
Basic Info
Statistics
- Stars: 19
- Watchers: 2
- Forks: 4
- Open Issues: 0
- Releases: 0
Topics
earth-engine
earth-observation
geographical-information-system
gis
google-earth-engine
javascript
landsat
modis
python
r
remote-sensing
sentinel
spectral-index
spectral-indices
Created about 3 years ago
· Last pushed about 2 years ago
Metadata Files
Readme
License
README.md
A curated list of Awesome Spectral Indices (ASI) resources
Table of Contents
- Official Resources
- Python
- Julia
- R
- Google Earth Engine
- Apps
- YouTube
- Tutorials
- Podcasts
- Blogs
- Datasets
- Companies and Software
- Papers
- Attribution
Official Resources
- Awesome Spectral Indices - Official GitHub Repository
- Espectro - Official Streamlit Web App
- spectral - Official Google Earth Engine Module
- spyndex - Official Python Package
- SpectralIndices.jl - Official Julia Package
Python
- eoreader - Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
- openeo-python-client - Python client API for OpenEO. ASI provided as experimental feature.
- spyndex - Official ASI Python Package. Spectral Indices can be computed for Python objects with third party libraries (e.g.,
numpy,pandas,xarray,dask).
Julia
- SpectralIndices.jl - Official ASI Julia Package. Spectral Indices can be computed for Python objects with third party libraries (e.g.,
DataFrames,YAXArrays).
R
- rgeeExtra - An R package for high-level functions to process spatial and simple Earth Engine objects. ASI is available through the
spectralIndices()function.
Google Earth Engine
Python
- eeExtra - A ninja Python package that unifies the Google Earth Engine ecosystem. Provides ASI methods for
eemontandrgeeExtra. - eemont - A Python package that extends Google Earth Engine. ASI is available through the
spectralIndices()method. - spyndex - Official ASI Python Package. Spectral Indices can be computed for Google Earth Engine objects.
JavaScript
- spectral - Official ASI Google Earth Engine Module. Deploys ASI for the Code Editor.
R
- rgeeExtra - An R package for high-level functions to process spatial and simple Earth Engine objects. ASI is available through the
spectralIndices()function.
Apps
Streamlit
- Espectro - Official Streamlit Web App GitHub Repository
Visualization
- LexCube - Leipzig Explorer of Earth Data Cubes. Provides an interactive ASI example for a Sentinel-2 data cube.
Miscellaneous
- openEO Web Editor - Web-based UI for OpenEO. A wizard provides an easy way to generate products based on ASI.
YouTube
Google Earth Engine
- ktmagar's YT | Awesome Spectral Indices in Earth Engine
- Open Source Remote Sensing & GIS | GEE tutorial 3: Compute multiple spectral indices easily in Google Earth Engine
- geodose video | How to Calculate Various Spectral Indices in Google Earth Engine Quickly
- MasterGIS | MasterGIS Days 2021 🌎: Procesamiento y visualización de datos geoespaciales con GEE [Spanish]
Miscellaneous
Tutorials
Python
- David Montero Loaiza | Python Built-in Types
- David Montero Loaiza | Numpy
- David Montero Loaiza | Pandas
- David Montero Loaiza | Xarray
- David Montero Loaiza | Geopandas
- David Montero Loaiza | Dask
- David Montero Loaiza | Earth Engine
- David Montero Loaiza | Planetary Computer
- Digital Earth Africa | Calculating band indices with Spyndex packages
Google Earth Engine
Python
- David Montero Loaiza | Computing Spectral Indices in Landsat 8
- David Montero Loaiza | Computing Spectral Indices for MODIS
- David Montero Loaiza | Spectral Indices From the Awesome Spectral Indices for GEE
- David Montero Loaiza | Access to Awesome Spectral Indices v0.0.3
- David Montero Loaiza | Monthly Global kNDVI using eemont and wxee
- David Montero Loaiza | Landsat-9
- Aaron Zuspan | Combining wxee and eemont
JavaScript
- David Montero Loaiza | Example 1: Exploring spectral indices
- David Montero Loaiza | Example 2: Computing One Index
- David Montero Loaiza | Example 3: Computing Multiple Indices
- David Montero Loaiza | Example 4: Computing Kernel Indices
- David Montero Loaiza | Example 5: Mapping Indices Over an Image Collection
Podcasts
Blogs
- geodose | How to Calculate Various Spectral Indices in Google Earth Engine Quickly
- Akis Karagiannis | Spectral Reflectance Newsletter #5
- scicrop | O uso dos índices vegetativos e do sensoriamento remoto na agricultura [Portuguese]
- Cursos de Teledetección | Lanzamiento de una nueva versión de "Awesome Spectral Indices" para Google Earth Engine (GEE) [Español]
Datasets
Companies and Software
- Agriobs | "Agriobs is an application that accesses multiple sources of imagery with dynamic presentation and reporting tools."
- OpenEO | "openEO develops an open API to connect R, Python, JavaScript and other clients to big Earth observation cloud back-ends in a simple and unified way-"
Papers
Official Papers
- A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research - How to cite. Montero, D., Aybar, C., Mahecha, M. D., Martinuzzi, F., Söchting, M., and Wieneke, S.: A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research, Scientific Data 10, 197, https://doi.org/10.1038/s41597-023-02096-0, 2023.
- spectral: Awesome Spectral Indices deployed via the Google Earth Engine JavaScript API - How to cite. Montero, D., Aybar, C., Mahecha, M. D., and Wieneke, S.: SPECTRAL: AWESOME SPECTRAL INDICES DEPLOYED VIA THE GOOGLE EARTH ENGINE JAVASCRIPT API, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4/W1-2022, 301–306, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-301-2022, 2022.
ASI Citations
- Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco - How to cite. Kriese, J.; Hoeser, T.; Asam, S.; Kacic, P.; Da Ponte, E.; Gessner, U. Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco. Remote Sens. 2022, 14, 4327. https://doi.org/10.3390/rs14174327
- BUSINESS INTELLIGENCE THROUGH MACHINE LEARNING FROM SATELLITE REMOTE SENSING DATA - How to cite. Kyriakos, C. 2022. BUSINESS INTELLIGENCE THROUGH MACHINE LEARNING FROM SATELLITE REMOTE SENSING DATA. Diploma Thesis, University of Thessaly.
Attribution
The repository banner was created on top of this photo by Evie Shaffer.
Owner
- Name: Awesome Spectral Indices
- Login: awesome-spectral-indices
- Kind: organization
- Repositories: 4
- Profile: https://github.com/awesome-spectral-indices
Awesome Spectral Indices Ecosystem Organization
GitHub Events
Total
- Watch event: 1
- Fork event: 1
Last Year
- Watch event: 1
- Fork event: 1
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| David Montero Loaiza | 4****z | 13 |
| Francesco Martinuzzi | m****o@g****m | 1 |
| Matthias Mohr | w****r@m****e | 1 |
Committer Domains (Top 20 + Academic)
mamo-net.de: 1
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 0
- Total pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: about 3 hours
- Total issue authors: 0
- Total pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 1.5
- Merged pull requests: 2
- 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
Pull Request Authors
- m-mohr (1)
- MartinuzziFrancesco (1)
