SurfRough
0.0.1.2Calculate Surface/Image Texture Indexes
Overview
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.
Install
Health
- ERROR r-oldrel-macos-arm64
- ERROR r-oldrel-macos-x86_64
- ERROR r-release-macos-x86_64
- ERROR2026-03-109 OK · 1 NOTE · 0 WARNING · 4 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 66%
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Checks run against github.com/strevisani/surfrough on 2026-07-19.
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Nothing depends on this yet.
Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.0.1.2Latest
- RR 4.5.0 released · 2025-04-11
- 0.0.1.12025-03-19 · diff ↗
- 0.0.1.02024-08-30
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-08-30
- Total releases
- 3 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 0.9 KB / 1 file
- Download size
- 4.1 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet