A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
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Updated
Jul 14, 2026 - Python
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A python package that extends Google Earth Engine.
Awesome Spectral Indices in Python.
Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
The Awesome Spectral Indices Streamlit App.
A repository with Google Earth Engine workshops, courses and conferences.
Access and computation of any spectral index in the Awesome Spectral Indices collection natively in Julia
A curated list of Awesome Spectral Indices (ASI) resources
Sentinel-2 Top-Of-Atmosphere Radiometric Uncertainty Propagator (Graf et al., 2023, IEEE-JSTARS)
A sample workflow for classifying wetlands in Google Earth Engine. Uses data from multiple sources.
Sentinel-2 L2A pipeline — AOI-driven scene search, selective band download, and six spectral indices (NDVI, SAVI, EVI, NBR, NDRE, NDWI) via the free Copernicus CDSE API.
This script calculates 89 indicies and calculates/visualizes the correlation beween the indices
Spectral Indices Package for ScanCorder Devices - Written in R
Mapping vegetation across the Antarctic continent
A mobile-responsive Google Earth Engine dashboard for advanced geospatial analysis. Seamlessly process Sentinel-2 & Landsat imagery. Features include an automated calculator for 40+ spectral indices, custom raster math, dynamic thresholding, cloud masking, interactive real-time area statistics, and GeoTIFF exports.
Spectral indices to highlight vegetation using LANDSAT images.
Python toolkit for AVIRIS-3 hyperspectral imagery: atmospheric correction, spectral indices, and interactive visualization.
Crop detection from satellite spectral-index time series using machine learning and Transformer-based deep learning models.
Analysing the ability of different water body indices to segment land from water
Download the desktop API Sentinel client for REST, GraphQL, mock server workflows, load testing, and real-time protocol debugging.
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