uavRst: 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.

Getting started

Package details

AuthorFlorian Detsch [ctb], Hanna Meyer [aut], Finn Möller [ctb], Thomas Nauss [ctb], Lars Opgenoorth [ctb], Chris Reudenbach [cre, aut], Environmental Informatics Marburg [ctb]
MaintainerChris Reudenbach <[email protected]>
LicenseGPL (>= 3) | file LICENSE
Version0.5-2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("uavRst")

Try the uavRst package in your browser

Any scripts or data that you put into this service are public.

uavRst documentation built on Dec. 9, 2018, 5:04 p.m.