R Observatory: Metrics for FuelDeep3D version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

FuelDeep3D

0.1.1Package record

3D Fuel Segmentation Using Terrestrial Laser Scanning and Deep Learning

0packages depend

2.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Venkata Siva Reddy NagaCRAN page ↗GitHub ↗Issues ↗

Provides tools for preprocessing, feature extraction, and segmentation of three-dimensional forest point clouds derived from terrestrial laser scanning. Functions support creating height-above-ground (HAG) metrics, tiling, and sampling point clouds, generating training datasets, applying trained models to new point clouds, and producing per-point fuel classes such as stems, branches, foliage, and surface fuels. These tools support workflows for forest structure analysis, wildfire behavior modeling, and fuel complexity assessment. Deep learning segmentation relies on the PointNeXt architecture described by Qian et al. (2022) doi:10.48550/arXiv.2206.04670, while ground classification utilizes the Cloth Simulation Filter algorithm by Zhang et al. (2016) doi:10.3390/rs8060501.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("FuelDeep3D", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("venkatasivanaga/FuelDeep3D")

Development version from venkatasivanaga/FuelDeep3D. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-fueldeep3d

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-FuelDeep3D

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-FuelDeep3D

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.7 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.1

READMEYes · 1,412 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 15
Examples that run: 64%9 run in a plain check (9 of them under a condition) · 3 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
Exported functions with examples: 93%
Documented parameters: 96%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2.1K

CRAN downloads in the past year

Rank #14,199 · ~6/day · ~176/mo

Releases R versions

Daily download trend is not available in this view yet.

29730 days

82590 days

2.1K1 year

Compare downloads with other packages →

Also on88 r2u8 autocran

How downloads are counted

Repository

venkatasivanaga/fueldeep3d ↗Account: venkatasivanaga

22Stars

5Forks

0Open issues

0Open PRs

1Releases

152Commits

2Commit identities

deep-learningforestryfuelsgeospatiallidarlidrpoint-cloudpytorch

152 commits · Last activity 2026-03-04 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 0
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2026-02-11 · 32026-08-01 · 22

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/venkatasivanaga/fueldeep3d on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing FuelDeep3D adds 3 packages (1 with compiled code, 2.0 MB of source tarballs). Heaviest: viridisLite 1.2 MB, rlang 766 KB, RColorBrewer 11 KB.

Depends (1)

R >= 4.1

Imports (4)

statsRColorBrewer viridisLite rlang

LinkingTo (0)

none

Suggests (7)

lidR reticulate dbscan ggplot2 rgl RCSF scales

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Venkata Siva Reddy Naga

Author, Maintainer since 0.1.1 (2026)

Alexander John Gaskins

Author

Carlos Alberto Silva

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
0.1.1Latest
record
2026-03-02 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-03-02
Total releases: 1 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.1
Download size: 6.7 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FuelDeep3D")

Format

Naga, V. S. R., Gaskins, A. J., & Silva, C. A. (2026). FuelDeep3D: 3D Fuel Segmentation Using Terrestrial Laser Scanning and Deep Learning (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.FuelDeep3D

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FuelDeep3D version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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