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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>.
| Version: | 0.0.5 |
| Depends: | R (≥ 3.5.0) |
| Imports: | caret, ggplot2, grDevices, lidR, keras, matrixStats, reticulate, rgl, sf, tensorflow |
| Suggests: | terra, viridis |
| Published: | 2023-03-31 |
| Author: | 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] |
| Maintainer: | Caio Hamamura <caiohamamura at gmail.com> |
| BugReports: | https://github.com/carlos-alberto-silva/rTLsDeep/issues |
| License: | GPL-3 |
| URL: | https://github.com/carlos-alberto-silva/rTLsDeep |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | rTLsDeep results |
| Reference manual: | rTLsDeep.pdf |
| Package source: | rTLsDeep_0.0.5.tar.gz |
| Windows binaries: | r-devel: rTLsDeep_0.0.5.zip, r-release: rTLsDeep_0.0.5.zip, r-oldrel: rTLsDeep_0.0.5.zip |
| macOS binaries: | r-release (arm64): rTLsDeep_0.0.5.tgz, r-oldrel (arm64): rTLsDeep_0.0.5.tgz, r-release (x86_64): rTLsDeep_0.0.5.tgz, r-oldrel (x86_64): rTLsDeep_0.0.5.tgz |
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