RStoolbox

ImageMetaData Class

RStoolbox: A Collection of Remote Sensing Tools

Classify Landsat QA bands

Simple Cloud Detection

Cloud Shadow Masking for Flat Terrain

Image to Image Co-Registration based on Mutual Information

Decode QA flags to bit-words

Encode QA Conditions to Integers

Estimate Image Haze for Dark Object Subtraction (DOS)

Fractional Cover Analysis

Fortify method for classes from the raster package.

Extract bandwise information from ImageMetaData

Extract validation results from superClass objects

Plot RasterLayers in ggplot with greyscale

Create ggplot2 Raster Plots with RGB from 3 RasterLayers

Image to Image Contrast Matching

Landsat 5TM Example Data

Multiple Endmember Spectral Mixture Analysis (Spectral Unmixing)

Normalize Raster Images: Center and Scale

One-hot encode a raster or vector

Pan Sharpen Imagery / Image Fusion

Pseudo-Invariant Features based Image Matching

Predict a raster map based on a superClass model fit.

Predict a raster map based on a unsuperClass model fit.

Radiometric Calibration and Correction

Change Vector Analysis

Multi-layer Pixel Entropy

Principal Component Analysis for Rasters

Tidy import tool for EarthExplorer .csv export files

Read Landsat MTL metadata files

Read ENVI spectral libraries

Linear Image Rescaling

Rlogo as RasterBrick

Set global options for RStoolbox

Spectral Angle Mapper

Save and Read RStoolbox Classification Results

Spectral Indices

SRTM Digital Elevation Model

Import separate Landsat files into single stack

Supervised Classification

Tasseled Cap Transformation

Topographic Illumination Correction

Unsupervised Classification

Map accuracy assessment

Write ENVI spectral libraries