A curated list of Awesome Spectral Indices (ASI) resources
- Official Resources
- Python
- Julia
- R
- Google Earth Engine
- Apps
- YouTube
- Tutorials
- Podcasts
- Blogs
- Datasets
- Companies and Software
- Papers
- Attribution
- 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
- 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).
- SpectralIndices.jl - Official ASI Julia Package. Spectral Indices can be computed for Python objects with third party libraries (e.g.,
DataFrames,YAXArrays).
- rgeeExtra - An R package for high-level functions to process spatial and simple Earth Engine objects. ASI is available through the
spectralIndices()function.
- 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.
- spectral - Official ASI Google Earth Engine Module. Deploys ASI for the Code Editor.
- rgeeExtra - An R package for high-level functions to process spatial and simple Earth Engine objects. ASI is available through the
spectralIndices()function.
- Espectro - Official Streamlit Web App GitHub Repository
- LexCube - Leipzig Explorer of Earth Data Cubes. Provides an interactive ASI example for a Sentinel-2 data cube.
- openEO Web Editor - Web-based UI for OpenEO. A wizard provides an easy way to generate products based on ASI.
- 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]
- 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
- 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
- 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
- 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]
- 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-"
- 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.
- 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.
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