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

A curated list of Awesome Spectral Indices (ASI) resources
https://github.com/awesome-spectral-indices/awesome-ASI

List: awesome-ASI

earth-engine earth-observation geographical-information-system gis google-earth-engine javascript landsat modis python r remote-sensing sentinel spectral-index spectral-indices

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A curated list of Awesome Spectral Indices (ASI) resources

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README 

        


  Awesome Spectral Indices





    A curated list of Awesome Spectral Indices (ASI) resources







    Awesome






## Table of Contents



- [Official Resources](#official-resources)

- [Python](#python)

- [Julia](#julia)

- [R](#r)

- [Google Earth Engine](#google-earth-engine)

- [Apps](#apps)

- [YouTube](#youtube)

- [Tutorials](#tutorials)

- [Podcasts](#podcasts)

- [Blogs](#blogs)

- [Datasets](#datasets)

- [Companies and Software](#companies-and-software)

- [Papers](#papers)

- [Attribution](#attribution)



-----------------------------------



## Official Resources



- [Awesome Spectral Indices](https://github.com/awesome-spectral-indices/awesome-spectral-indices) - Official GitHub Repository

- [Espectro](https://github.com/awesome-spectral-indices/espectro) - Official Streamlit Web App [![Espectro](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/davemlz/espectro/main/espectro.py)

- [spectral](https://github.com/awesome-spectral-indices/spectral) - Official Google Earth Engine Module

- [spyndex](https://github.com/awesome-spectral-indices/spyndex) - Official Python Package

- [SpectralIndices.jl](https://github.com/awesome-spectral-indices/SpectralIndices.jl) - Official Julia Package



-----------------------------------



## Python



- [eoreader](https://github.com/sertit/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](https://github.com/Open-EO/openeo-python-client) - Python client API for OpenEO. ASI provided as experimental feature.

- [spyndex](https://github.com/awesome-spectral-indices/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](https://github.com/awesome-spectral-indices/SpectralIndices.jl) - Official ASI Julia Package. Spectral Indices can be computed for Python objects with third party libraries (e.g., `DataFrames`, `YAXArrays`).



-----------------------------------



## R



- [rgeeExtra](https://github.com/r-earthengine/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](https://github.com/r-earthengine/ee_extra) - A ninja Python package that unifies the Google Earth Engine ecosystem. Provides ASI methods for `eemont` and `rgeeExtra`.

- [eemont](https://github.com/davemlz/eemont) - A Python package that extends Google Earth Engine. ASI is available through the `spectralIndices()` method.

- [spyndex](https://github.com/awesome-spectral-indices/spyndex) - Official ASI Python Package. Spectral Indices can be computed for Google Earth Engine objects.



### JavaScript



- [spectral](https://github.com/awesome-spectral-indices/spectral) - Official ASI Google Earth Engine Module. Deploys ASI for the Code Editor.



### R



- [rgeeExtra](https://github.com/r-earthengine/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](https://github.com/awesome-spectral-indices/espectro) - Official Streamlit Web App GitHub Repository [![Espectro](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/davemlz/espectro/main/espectro.py)



### Visualization



- [LexCube](https://www.lexcube.org/?!s2flx_sen2flux_de-hai_l3a/kndvi/0-194/0-510/0-510) - Leipzig Explorer of Earth Data Cubes. Provides an interactive ASI example for a Sentinel-2 data cube.



### Miscellaneous



- [openEO Web Editor](https://github.com/Open-EO/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](https://www.youtube.com/watch?v=GJuoBp6B3fU&ab_channel=ktmagar%27sYT)

- [Open Source Remote Sensing & GIS | GEE tutorial 3: Compute multiple spectral indices easily in Google Earth Engine](https://www.youtube.com/watch?v=b7lCNNJOfZY&ab_channel=OpenSourceRemoteSensing%26GIS)

- [geodose video | How to Calculate Various Spectral Indices in Google Earth Engine Quickly](https://www.youtube.com/watch?v=Vkx-mh6Wr50&ab_channel=geodosevideo)

- [MasterGIS | MasterGIS Days 2021 🌎: Procesamiento y visualización de datos geoespaciales con GEE](https://youtu.be/MU28078U14Y?t=1641) [Spanish]



### Miscellaneous



- [openEO | openEO Web Editor Wizard](https://www.youtube.com/watch?v=iAmybwE425k&ab_channel=openEO)



-----------------------------------



## Tutorials



### Python



- [David Montero Loaiza | Python Built-in Types](https://spyndex.readthedocs.io/en/latest/tutorials/python_builtin.html)

- [David Montero Loaiza | Numpy](https://spyndex.readthedocs.io/en/latest/tutorials/numpy.html)

- [David Montero Loaiza | Pandas](https://spyndex.readthedocs.io/en/latest/tutorials/pandas.html)

- [David Montero Loaiza | Xarray](https://spyndex.readthedocs.io/en/latest/tutorials/xarray.html)

- [David Montero Loaiza | Geopandas](https://spyndex.readthedocs.io/en/latest/tutorials/geopandas.html)

- [David Montero Loaiza | Dask](https://spyndex.readthedocs.io/en/latest/tutorials/dask.html)

- [David Montero Loaiza | Earth Engine](https://spyndex.readthedocs.io/en/latest/tutorials/ee.html)

- [David Montero Loaiza | Planetary Computer](https://spyndex.readthedocs.io/en/latest/tutorials/pc.html)

- [Digital Earth Africa | Calculating band indices with Spyndex packages](https://docs.digitalearthafrica.org/en/latest/sandbox/notebooks/Frequently_used_code/Calculating_band_indices_Spyndex.html)



### Google Earth Engine



#### Python



- [David Montero Loaiza | Computing Spectral Indices in Landsat 8](https://eemont.readthedocs.io/en/latest/tutorials/004-Computing-Spectral-Indices-Landsat-8.html)

- [David Montero Loaiza | Computing Spectral Indices for MODIS](https://eemont.readthedocs.io/en/latest/tutorials/012-Spectral-Indices-MODIS-MOD09GA.html)

- [David Montero Loaiza | Spectral Indices From the Awesome Spectral Indices for GEE](https://eemont.readthedocs.io/en/latest/tutorials/016-Spectral-Indices-From-Awesome-Spectral-Indices-List.html)

- [David Montero Loaiza | Access to Awesome Spectral Indices v0.0.3](https://eemont.readthedocs.io/en/latest/tutorials/030-Awesome-Spectral-Indices-v003.html)

- [David Montero Loaiza | Monthly Global kNDVI using eemont and wxee](https://eemont.readthedocs.io/en/latest/tutorials/032-Combining-eemont-wxee.html)

- [David Montero Loaiza | Landsat-9](https://eemont.readthedocs.io/en/latest/tutorials/035-Landsat-9.html)

- [Aaron Zuspan | Combining wxee and eemont](https://wxee.readthedocs.io/en/latest/examples/eemont.html)



#### JavaScript



- [David Montero Loaiza | Example 1: Exploring spectral indices](https://code.earthengine.google.com/6f438f939672318555b8e1ae55257020)

- [David Montero Loaiza | Example 2: Computing One Index](https://code.earthengine.google.com/378462b0d7b6dd8e523e02b349e67508)

- [David Montero Loaiza | Example 3: Computing Multiple Indices](https://code.earthengine.google.com/94523fdbc4ff80b77e76e7c05983c276)

- [David Montero Loaiza | Example 4: Computing Kernel Indices](https://code.earthengine.google.com/45399b947d0b1db532f1d2e6dd86d42a)

- [David Montero Loaiza | Example 5: Mapping Indices Over an Image Collection](https://code.earthengine.google.com/9c303e11f1c4a04a1c9c2dfbeaf2abee)



-----------------------------------



## Podcasts



- [Scene From Above | S11E2: Disruption](https://scenefromabove.podbean.com/e/s11e2-disruption/)



-----------------------------------



## Blogs



- [geodose | How to Calculate Various Spectral Indices in Google Earth Engine Quickly](https://www.geodose.com/2022/10/how-to-calculate-various-spectral-indices-gee-quick.html)

- [Akis Karagiannis | Spectral Reflectance Newsletter #5

](https://medium.com/spectral-reflectance/spectral-reflectance-newsletter-5-e38d99fd582a)

- [scicrop | O uso dos índices vegetativos e do sensoriamento remoto na agricultura](https://scicrop.com/2022/03/01/o-uso-dos-indices-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)](https://www.cursosteledeteccion.com/lanzamiento-de-una-nueva-version-de-awesome-spectral-indices-para-google-earth-engine-gee/) [Español]



-----------------------------------



## Datasets



- [UniNa - Machine Learning 22/23 - MiniContest n1 | Above Ground Biomass estimation from Sentinel-2](https://www.kaggle.com/competitions/unina-machine-learning-2223/data)



-----------------------------------



## Companies and Software



- [Agriobs | "Agriobs is an application that accesses multiple sources of imagery with dynamic presentation and reporting tools."](https://agriobs.com/)

- [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-"](https://openeo.org/)



-----------------------------------



## Papers



### Official Papers



- [A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research](https://www.nature.com/articles/s41597-023-02096-0) - **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](https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-301-2022) - **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](https://doi.org/10.3390/rs14174327) - **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](https://ir.lib.uth.gr/xmlui/bitstream/handle/11615/59406/25458.pdf) - **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](https://www.pexels.com/es-es/foto/luces-oscuro-colorido-arcoiris-11734794/) by [Evie Shaffer](https://www.pexels.com/es-es/@evie-shaffer-1259279/).