RRIMax

RRIMax.numeric

RRIMax.SpatRaster

Same as RRI but instead of computing the mean of the absolute differences of order 2,
the maximum is computed.
The input is the DEM/image (no need to detrend).

Methods for the computation of surface/image texture indices using a geostatistical based approach (Trevisani et al. (2023) <doi:10.1016/j.catena.2023.106927> and Trevisani and Guth (2025) <doi:10.3390/rs17233864>). It provides various functions for the computation of surface texture indices (e.g., omnidirectional roughness and roughness anisotropy), including the ones based on the robust MAD estimator. The kernels included in the software permit also to calculate the surface/image texture indices directly from the input surface (i.e., without de-trending) using increments of order 2 and of order 4. It also provides the new radial roughness index (RRI), representing the improvement of the popular topographic roughness index (TRI). The framework can be easily extended with ad-hoc surface/image texture indices.

Sebastiano Trevisani

SurfRough

Calculate Surface/Image Texture Indexes

Ilich Alexander

Zakharko Taras

RRIMax function

<dl><dt>x</dt>
<dd>A DEM/image as a SpatRaster or a vector of numeric values from a focal window in a DEM from which to compute the index</dd>
<dt>...</dt>
<dd>reserved for future use</dd>
<dt>.method</dt>
<dd>Either <code>r</code> or <code>rcpp</code> (fast batch processing using C++)</dd></dl>

Arguments

RRIMax: Maximum Radial Roughness index — RRIMax

<dl>

<dt>x</dt>
<dd>A DEM/image as a SpatRaster or a vector of numeric values from a focal window in a DEM from which to compute the index</dd>


<dt>...</dt>
<dd>reserved for future use</dd>


<dt>.method</dt>
<dd>Either <code>r</code> or <code>rcpp</code> (fast batch processing using C++)</dd>

</dl>

RRIMax: RRIMax: Maximum Radial Roughness index

Description

Usage

Value

Arguments

References

Examples