CRAN/E | rTLsDeep

rTLsDeep

Post-Hurricane Damage Severity Classification from TLS and AI

Installation

About

Terrestrial laser scanning (TLS) data processing and post-hurricane damage severity classification at the individual tree level using deep Learning. Further details were published in Klauberg et al. (2023) doi:10.3390/rs15041165.

github.com/carlos-alberto-silva/rTLsDeep
Bug report File report

Key Metrics

Version 0.0.5
R ≥ 3.5.0
Published 2023-03-31 395 days ago
Needs compilation? no
License GPL-3
CRAN checks rTLsDeep results

Downloads

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Last 30 days 160 +3%
Last 90 days 463 -25%
Last 365 days 1.938 +765%

Maintainer

Maintainer

Caio Hamamura

caiohamamura@gmail.com

Authors

Carine Klauberg

aut

Ricardo Dalagnol

aut / cph

Matheus Ferreira

aut / ctb

Jason Vogel

aut / ctb

Caio Hamamura

aut / ctb / cre

Carlos Alberto Silva

aut / cph

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.5.0

Imports

caret
ggplot2
grDevices
lidR
keras
matrixStats
reticulate
rgl
sf
tensorflow

Suggests

terra
viridis