Package: SurfRough
Title: Calculate Surface/Image Texture Indexes
Version: 0.0.1.2
Authors@R: 
    c(person("Sebastiano", "Trevisani", email="strevisani@iuav.it", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-8436-7798")),
    person("Ilich", "Alexander", role = "ctb", comment = c(ORCID = "0000-0003-1758-8499")),
    person("Zakharko", "Taras", role = "ctb", comment = c(ORCID = "0000-0001-7601-8424")))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
BugReports: https://github.com/strevisani/SurfRough/issues
LazyData: true
Depends: R (>= 3.5.0), terra
Suggests: tinytest
URL: https://github.com/strevisani/SurfRough,
        https://doi.org/10.5281/zenodo.7132160
NeedsCompilation: yes
Packaged: 2026-01-27 09:19:44 UTC; x
Maintainer: Sebastiano Trevisani <strevisani@iuav.it>
LinkingTo: Rcpp
Author: Sebastiano Trevisani [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-8436-7798>),
  Ilich Alexander [ctb] (ORCID: <https://orcid.org/0000-0003-1758-8499>),
  Zakharko Taras [ctb] (ORCID: <https://orcid.org/0000-0001-7601-8424>)
Repository: CRAN
Date/Publication: 2026-01-27 12:30:17 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-05-04 02:22:12 UTC; windows
Archs: x64
