Handling and Manipulating Remote Sensing Data
Align raster geometry between two data sets
Convert selected layers of a Satellite object to a RasterBrick
Atmospheric correction of remote sensing data
Compile dark object DN for given sensor band
Compute earth-sun distance based on day of the year
Compute path radiance based on the dark object method
Compute top of atmosphere solar irradiance for sensor bands using LUTs
Compute top of atmosphere solar irradiance using radiation vs. reflect...
Get top of atmosphere solar irradiance using readily tabulated values
Correct for topographic effects.
Get filename, bands and metadata file for Landsat 7 and 8 standard 1B/...
Get calibration information from Landsat 8 standard level 1B/T filenam...
Convert a band's scaled counts to brightness temperature
Convert a band's scaled counts or radiance values to reflectance
Convert reflectance to radiance using linear function coefficients
Convert a band's scaled counts to radiance
Convert a band's scaled counts or radiance values to reflectance
Crop Satellite object
Compute terrain characteristics from digital elevation models
Extend a Satellite object
Get or access internal LUT values used by various functions
Identify pseudo-invariant features from a satellite scene
Get/set Satellite data layer names
Plot a Satellite object
An S4 class to represent a complete satellite dataset
Smorgasboard for remote sensing functions.
Create a Satellite object
An S4 class to represent a satellite data file
An S4 class to represent satellite data
An S4 class to represent satellite log data
An S4 class to represent satellite metadata
Get or access Satellite object information used by various functions
Convert selected layers of a Satellite object to a RasterStack
Subset of Satellite object data layers
Herein, we provide a broad variety of functions which are useful for handling, manipulating, and visualizing satellite-based remote sensing data. These operations range from mere data import and layer handling (eg subsetting), over Raster* typical data wrangling (eg crop, extend), to more sophisticated (pre-)processing tasks typically applied to satellite imagery (eg atmospheric and topographic correction). This functionality is complemented by a full access to the satellite layers' metadata at any stage and the documentation of performed actions in a separate log file. Currently available sensors include Landsat 4-5 (TM), 7 (ETM+), and 8 (OLI/TIRS Combined), and additional compatibility is ensured for the Landsat Global Land Survey data set.
Useful links