mDRONES4rivers-project: Classification results based on UAV data of project sites situated in riparian zones along federal waterways in Germany with focus on the Rhine River, Germany

<p>Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project &bdquo;Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany&ldquo; (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices.&nbsp;<br> Within the project period (2019-2022) an object oriented image classification was conducted based on UAV and gyrocopter&nbsp;data for different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword &lsquo;mDRONES4rivers&lsquo;.&nbsp;<br> In this dataset, the following classification results&nbsp;and metadata of the project sites situated in riparian zones along federal waterways in Germany with focus on the Rhine River, Germany is available for download:<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Basic &amp; Vegetation Classification (ESRI Shapefile; abbreviation: lvl2_vegetation_units)<br> &bull;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Classification of dominant stands&nbsp;(ESRI Shapefile; abbreviation: lvl4_dominant_stands )<br> &bull;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Classification of substrat types (ESRI Shapefile; abbreviation: lvl4_substrate_types)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; associated reports (PDF; statistical and additional information on the classifiaction results and workflow)<br> The above-mentioned files are provided for download as dataset stored in one directory per projekt site and season&nbsp;(e.g. mDRONES4rivers_Niederwerth_2019_03_Summer_Classification.zip = projectname_projectsite_year_no.season_name.season_product). To provide an overview of all files and general background information plus data preview the following files are additionally provided:&nbsp;<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Portfolios (PDF, Detailed description of classification products and classification workflow, 1x for basic surface types, 1x for classification of vegetation units, 1x for classification of dominant stands,&nbsp;&nbsp;1x for classification of substrate types)<br> &bull;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Color Coding table for the visualization of the classifiaction units (.xlsx)</p>