Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging. - Juliane Bendig; Andreas Bolten; Simon Bennertz; Janis Broscheit; Silas Eichfuss; Georg Bareth (Remote. Sens., 2014)

Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley. - Juliane Bendig; Kang Yu; Helge Aasen; Andreas Bolten; Simon Bennertz; Janis Broscheit; Martin L. Gnyp; Georg Bareth (Int. J. Appl. Earth Obs. Geoinformation, 2015)

PaleoMaps: SDI for paleoenvironment GIS data. - Christian Willmes; Daniel Becker 005; Jan Verheul; Yasa Yener; Mirijam Zickel; Andreas Bolten; Olaf Bubenzer; Georg Bareth (Int. J. Spatial Data Infrastructures Res., 2017)

Development of a VNIR/SWIR Multispectral Imaging System for Vegetation Monitoring with Unmanned Aerial Vehicles. - Alexander Jenal; Georg Bareth; Andreas Bolten; Caspar Kneer; Immanuel Weber; Jens Bongartz (Sensors, 2019)

Investigating the Potential of a Newly Developed UAV-Mounted VNIR/SWIR Imaging System for Monitoring Crop Traits - A Case Study for Winter Wheat. - Alexander Jenal; Hubert Hüging; Hella Ellen Ahrends; Andreas Bolten; Jens Bongartz; Georg Bareth (Remote. Sens., 2021)

Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using Machine Learning. - Ulrike Lussem; Andreas Bolten; Ireneusz Kleppert; Jörg Jasper; Martin Leon Gnyp; Jürgen Schellberg; Georg Bareth (Remote. Sens., 2022)

Spectral Evaluation of Hyperspectral Remote Sensing Data Using UAV-derived VIS/NIR/SWIR Imaging Data and Polygon Grids. - Georg Bareth; Christoph Hütt; Alexander Jenal; Fabian Reddig; Andreas Bolten (IGARSS, 2023)

A New Multispectral VNIR/SWIR Imaging System for UAVs to Monitor Crop Traits. - Alexander Jenal; Christoph Hütt; Andreas Bolten; Hubert Hüging; Jens Bongartz; Georg Bareth (IGARSS, 2023)