Support the analysis of drone derived imagery and point clouds as a cheap and easy to use alternative/complement to light detection and ranging data. It provides functionality to analyze poor quality digital aerial images as taken by low budget ready to fly drones. This includes supported machine learning based classification functions, comprehensive texture analysis, segmentation algorithms as well as forest relevant analyzes of metrics and measures on the derived products.
| Version: | 0.5-0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | raster, foreach |
| LinkingTo: | Rcpp |
| Suggests: | knitr, stringr, sp, sf, htmlwidgets, htmltools, Rcpp, rgdal, rgeos, gdalUtils, tools, caret, zoo, data.table, parallel, spatial.tools, velox, link2GI, doParallel, CAST, glcm, crayon, ForestTools, itcSegment, pROC, methods, RSAGA, reshape2, rgrass7, randomForest, rLiDAR, rlas, lidR, rmarkdown, mapview |
| Published: | 2018-11-19 |
| Author: | Florian Detsch [ctb], Hanna Meyer [aut], Thomas Nauss [ctb], Lars Opgenoorth [ctb], Chris Reudenbach [cre, aut], Environmental Informatics Marburg [ctb] |
| Maintainer: | Chris Reudenbach <reudenbach at uni-marburg.de> |
| License: | GPL (≥ 3) | file LICENSE |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README NEWS |
| CRAN checks: | uavRst results |
| Reference manual: | uavRst.pdf |
| Package source: | uavRst_0.5-0.tar.gz |
| Windows binaries: | r-devel: uavRst_0.5-0.zip, r-release: uavRst_0.5-0.zip, r-oldrel: uavRst_0.5-0.zip |
| OS X binaries: | r-release: uavRst_0.5-0.tgz, r-oldrel: uavRst_0.5-0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=uavRst to link to this page.