The advantages of remote sensing using Unmanned Aerial Vehicles (UAVs) are a high spatial resolution of images, temporal flexibility and narrow-band spectral data from different wavelengths domains. This enables the detection of spatio-temporal dynamics of environmental variables, like plant-related carbon dynamics in agricultural landscapes. In this paper, we quantify spatial patterns of fresh phytomass and related carbon (C) export using imagery captured by a 12-band multispectral camera mounted on the fixed wing UAV Carolo P360. The study was performed in 2014 at the experimental area CarboZALF-D in NE Germany. From radiometrically corrected and calibrated images of lucerne (Medicago sativa), the performance of four commonly used vegetation indices (VIs) was tested using band combinations of six near-infrared bands. The highest correlation between ground-based measurements of fresh phytomass of lucerne and VIs was obtained for the Enhanced Vegetation Index (EVI) using near-infrared band b899. The resulting map was transformed into dry phytomass and finally upscaled to total C export by harvest. The observed spatial variability at field- and plot-scale could be attributed to small-scale soil heterogeneity in part.

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[Correction added on 06 December 2016, after first online publication: To ensure a practical file size of the final document each of the embedded videos were replaced by a screenshot of the respective videothe video on the construction of the model (doi: 10.5446/18699) and the video with the visualization of hydrological processes (doi: 10.5446/18823) are freely available (CC-BY-3.0) in the archive of the Leibniz Information Centre For Science And Technology University Library (TIB).] AbstractPhysical models are a well-established tool in education to strengthen hydrological understanding. They facilitate the straightforward visualization of hydrological processes and allow the communication of hydrological concepts, research and questions of general interest to the public. In order to visualize the water cycle in a landscape of postglacial sediments, in particular the subsurface part, a physical model was constructed. In two videos, (1) a detailed construction manual and (2) DescriptionThe importance of groundwater as a natural resource for water supply, agriculture and ecosystems is pretty obvious to most people and usually highly valued. Nonetheless, it is very striking that the picture of how natural waters are circulating becomes typically rather rough when it comes to the subsurface part (Unterbruner et al., 2016). For many laymen, 'groundwater' is something relatively vague. Questions like 'is groundwater located directly below the surface? Where does it come from? How long has it been in the ground?', etc. often quickly arise.To facilitate communication on many of these questions, we built a physical model of the water cycle in a landscape of postglacial sediments. The design of the model was inspired by Harnischmacher (2004) and the physical groundwater model of the hydrogeology group of the Institute of Geological Sciences of the Freie Universität of Berlin. The model comprises both the surface and subsurface part of the water cycle. To our knowledge, most other physical models in hydrology focus on specific parts of the water cycle. This is related to the long tradition in hydrology to use physical models to investigate specific hydrological questions such as the hydraulic properties of substrates (e.g. Darcy, 1856), the groundwater conditions at heterogeneous hillsides (Rulon et al., 1985), the processes in the hyporheic zone (Zhou and Endreny, 2013) or morphological features on Mars (Marra et al., 2014). The experimental focus implies the design of models that work directly on the 'real world' scale, e.g. a volume of soil, or models whose results are scalable to the real world (Kleinhans et al., 2010). In contrast to the models designed primarily for experimental purposes, the purpose of our model is to establish a conceptual understanding of how water is circulating through the landscape. Except from communicating hydrological research and facilitating discussions on publicly relevant hydrological questions, the model can also be used as a straightforward pedagogic tool in education. Here again, o...