Remote Sensing Data Analysis
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 terra 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
ImageMetaData Class
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
Pipe operator
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 SpatRaster
Set global options for RStoolbox
RStoolbox: A Collection of Remote Sensing Tools
Spectral Angle Mapper
Save and Read RStoolbox Classification Results
Sentinel 2 MSI L2A Scene
Spectral Indices
SRTM scene for the sen2 exemplary scene
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
Toolbox for remote sensing image processing and analysis such as calculating spectral indexes, principal component transformation, unsupervised and supervised classification or fractional cover analyses.
Useful links