Guide to Terradue Open Source projects

Terradue / rLandsat8

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R 2014-09-01T07:25:16Z 2014-09-02T12:23:40Z 0 0

rLandsat8

R interface to rLandsat8

!---[![DOI](https://zenodo.org/badge/3806/Terradue/rOpenSearch.png)](http://dx.doi.org/10.5281/zenodo.10642)--

Documentation

The rLandsat8 documentation is live at: http://terradue.github.io/rLandsat8

The rLandsat8 documentation source is available at: https://github.com/Terradue/rLandsat8/tree/master/src/main/doc

Inside R, use ? to view the function's help page. Example:

?ReadLandsat8

Citing this package

Installing a release

The releases are available at: https://github.com/Terradue/rLandsat8/releases

Releases can be installed using devtools

Start an R session and run:

library(devtools)
install_url("https://github.com/Terradue/rLandsat8/releases/download/v0.1-SNAPSHOT/rLandsat8_0.1.0.tar.gz")
library(rLandsat8)

Note the example above install the v0.1-SNAPSHOT release, adapt it to the current release

Building and installing the development version

The rLandsat8 package is built using maven.

From a terminal:

cd
git clone git@github.com:Terradue/rLandsat8.git
cd rLandsat8
mvn compile

That generates a compressed archive with the rOpenSearch package in:

~/rLandsat8/target/R/src/rLandsat8_x.y.z.tar.gz

To install the package, start an R session and run:

install.packages("~/rLandsat8/target/R/src/rLandsat8_x.y.z.tar.gz", repos=NULL, type="source")

Note x.y.z is the development version number.

Then load the library:

library(rLandsat8)

Getting Started

Calculate the Normalized Difference Vegetation Index

This example:

  • Reads a previously downloaded Landsat 8
  • Calculates the Normalized Difference Vegetation Index (NDVI) by converting the NIR and Red bands to TOA reflectances and applying the normalized difference: NDVI=(ρNIR −ρRed)/(ρNIR +ρRed)
library(rLandsat8)

setwd("~/Downloads")
product  <- "LC82040322013219LGN00"
l <- ReadLandsat8(product)

ndvi <- ToNDVI(l)
plot(ndvi)

Questions, bugs, and suggestions

Please file any bugs or questions as issues or send in a pull request.