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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

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 „Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany“ (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices. 
Within the project period (2019-2022) an object oriented image classification was conducted based on UAV and gyrocopter 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 ‘mDRONES4rivers‘. 
In this dataset, the following classification results 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:
•             Basic & Vegetation Classification (ESRI Shapefile; abbreviation: lvl2_vegetation_units)
•             Classification of dominant stands (ESRI Shapefile; abbreviation: lvl4_dominant_stands )
•             Classification of substrat types (ESRI Shapefile; abbreviation: lvl4_substrate_types)
•             associated reports (PDF; statistical and additional information on the classifiaction results and workflow)
The above-mentioned files are provided for download as dataset stored in one directory per projekt site and season (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: 
•             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,  1x for classification of substrate types)
•            Color Coding table for the visualization of the classifiaction units (.xlsx)


mFUND-Projekt: mDRONES4rivers, FKZ: 19F2054

Remote Sensing multispectral UAV UAS Image Classification Vegetation Substrate Hydromorphology water federal waterways Rhine Emmericher Ward near infrared RGB Digital Surface Model DSM mDRONES4rivers renaturation riparian river + 12 weitere

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