uavRst (0.5-2)

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Unmanned Aerial Vehicle Remote Sensing Tools.

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.

Maintainer: Chris Reudenbach
Author(s): Florian Detsch [ctb], Hanna Meyer [aut], Finn Mller [ctb], Thomas Nauss [ctb], Lars Opgenoorth [ctb], Chris Reudenbach [cre, aut], Environmental Informatics Marburg [ctb]

License: GPL (>= 3) | file LICENSE

Uses: foreach, raster, R.utils, caret, randomForest, sp, zoo, rgdal, RSAGA, data.table, Rcpp, stringr, pROC, reshape2, rgeos, doParallel, knitr,, gdalUtils, glcm, htmltools, rmarkdown, crayon, htmlwidgets, rgrass7, rLiDAR, mapview, itcSegment, velox, sf, lidR, rlas, ForestTools, link2GI, CAST

Released 11 months ago.

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