A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
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Updated
Aug 3, 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
Marine debris detection on free Sentinel-2 imagery: spectral indices (FDI/FAI), open-vocabulary detection with OWLv2, SAM 2 segmentation. No training, no GPU, no API keys.
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
Spectral indices to highlight vegetation using LANDSAT images.
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.
An explainable unsupervised labeling pipeline for Sentinel-2 imagery using Google Earth Engine, spectral indices, clustering, and ensemble learning.
Python toolkit for AVIRIS-3 hyperspectral imagery: atmospheric correction, spectral indices, and interactive visualization.
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