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.
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")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)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.
- spyndex Python package
- Rcpp for Seamless R and C++ Integration
- Awesome Spectral Indices