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FuelDeep3D

0.1.1

3D Fuel Segmentation Using Terrestrial Laser Scanning and Deep Learning

0packages depend
1.4Kdownloads / year
test coverage
12/13checks pass

Overview

About
Maintained by Venkata Siva Reddy NagaFirst published 2026-03-021 releasesCRAN page ↗GitHub ↗

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

Health

CRAN checks
1NOTE12OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 1.7 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 1,412 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
64%
Documented parameters
96%
Return-value docs
100%
References docs
0%

Downloads

1.4K
CRAN downloads in the past year
Rank #18,195 · ~4/day · ~114/mo
Daily download trend is not available in this view yet.
17430 days
60490 days
1.4K1 year
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Also on80 r2u5 autocran

Repository

Repository
22Stars
5Forks
0Open issues
0Open PRs
1Releases
152Commits
2Contributors
deep-learningforestryfuelsgeospatiallidarlidrpoint-cloudpytorch
152 commits · Last activity 2026-03-04 · +10% stars, 30d

Stars over time

2026-02-11 · 32026-08-01 · 22

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/venkatasivanaga/fueldeep3d on 2026-07-31.

Continuous integration (1)
GitHub Actions
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1Latest
    2026-03-10 · 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
Installed size
not tracked yet
With dependencies
not tracked yet
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