uavRst

uavRst-package

<p>In general the  <code>uavRst</code> remote sensing toolbox tries to support the use of UAV derived imagery and pointclouds 
as a cheap and easy to use alternative/complement to LiDAR data. Howeverit is far from being mature. 
<code>uavRst</code> provides functionality to analyze poor quality RGB images as taken by low budget ready to fly uavs. This includes preconfigured 
machine learning based classification workflows, comprehensive texture analysis and segmentation algorithms as well as forest relevant calculations
of metrics and measures on the derived products.</p>

package

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.

Chris Reudenbach

Unmanned Aerial Vehicle Remote Sensing Tools

Florian Detsch

Hanna Meyer

Finn M<c3><b6>ller

Thomas Nauss

Lars Opgenoorth

Environmental Informatics Marburg 

uavRst function

Unmanned Aerial Vehicle Remote Sensing Tools - some cool tools to manipulate and analyze UAV derived RGB ortho imagery and point clouds. — uavRst

Unmanned Aerial Vehicle Remote Sensing Tools - some cool tools to manipulate and analyze UAV derived RGB ortho imagery and point clouds.

uavRst: Unmanned Aerial Vehicle Remote Sensing Tools - some cool tools to manipulate and analyze UAV derived RGB ortho imagery and point clouds.

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