spectral 🌈

The spectral package offers a performant and flexible solution for calculating various spectral indices from spectral data. Developed with a focus on efficiency and compatibility, it leverages the power of C++ through Rcpp, ensuring fast computations even with large datasets. This package is inspired by the Python package spyndex and aims to provide a comprehensive suite of spectral indices for environmental and remote sensing analysis. Its design is simple, making it a valuable tool for researchers, students, and professionals working with geospatial data in R.

Note: This is a hobby project created to learn more about Rcpp.

Installation

You can install the spectral package directly from GitHub (assuming a future GitHub repository) using the devtools package:

# install.packages("devtools")
devtools::install_github("M3nin0/spectral")

Usage

The spectral package simplifies the calculation of spectral indices. Here’s how to calculate some of the most commonly used indices:

Load the package

library(spectral)

Calculate indices

ndvi_result = ndvi(red_band, nir_band)

Available Spectral Indices

The package includes a wide range of spectral indices, implementing those listed in the “Awesome Spectral Indices” repository. Some of the indices available include:

• Enhanced Vegetation Index 2 (EVI2)
• Normalized Difference Vegetation Index (NDVI)
• Normalized Difference Water Index (NDWI2)

…and many others, catering to various applications in remote sensing and environmental monitoring.

References

• spyndex Python package
• Rcpp for Seamless R and C++ Integration
• Awesome Spectral Indices