@article{HettichSchierjottEppleetal.2019,
  author    = {Hettich, Georg and Schierjott, Ronja A. and Epple, Matthias and Gbureck, Uwe and Heinemann, Sascha and Mozaffari-Jovein, Hadi and Grupp, Thomas M.},
  title     = {Calcium phosphate bone graft substitutes with high mechanical load capacity and high degree of interconnecting porosity},
  series = {Materials},
  volume    = {12},
  journal   = {Materials},
  number    = {21},
  issn      = {1996-1944},
  doi       = {10.3390/ma12213471},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-193233},
  pages     = {3471},
  year      = {2019},
  abstract  = {Bone graft substitutes in orthopedic applications have to fulfill various demanding requirements. Most calcium phosphate (CaP) bone graft substitutes are highly porous to achieve bone regeneration, but typically lack mechanical stability. This study presents a novel approach, in which a scaffold structure with appropriate properties for bone regeneration emerges from the space between specifically shaped granules. The granule types were tetrapods (TEPO) and pyramids (PYRA), which were compared to porous CaP granules (CALC) and morselized bone chips (BC). Bulk materials of the granules were mechanically loaded with a peak pressure of 4 MP; i.e., comparable to the load occurring behind an acetabular cup. Mechanical loading reduced the volume of CALC and BC considerably (89\% and 85\%, respectively), indicating a collapse of the macroporous structure. Volumes of TEPO and PYRA remained almost constant (94\% and 98\%, respectively). After loading, the porosity was highest for BC (46\%), lowest for CALC (25\%) and comparable for TEPO and PYRA (37\%). The pore spaces of TEPO and PYRA were highly interconnected in a way that a virtual object with a diameter of 150 µm could access 34\% of the TEPO volume and 36\% of the PYRA volume. This study shows that a bulk of dense CaP granules in form of tetrapods and pyramids can create a scaffold structure with load capacities suitable for the regeneration of an acetabular bone defect},
  language  = {en}
}
@article{HeinemannSiegmannThonfeldetal.2020,
  author    = {Heinemann, Sascha and Siegmann, Bastian and Thonfeld, Frank and Muro, Javier and Jedmowski, Christoph and Kemna, Andreas and Kraska, Thorsten and Muller, Onno and Schultz, Johannes and Udelhoven, Thomas and Wilke, Norman and Rascher, Uwe},
  title     = {Land surface temperature retrieval for agricultural areas using a novel UAV platform equipped with a thermal infrared and multispectral sensor},
  series = {Remote Sensing},
  volume    = {12},
  journal   = {Remote Sensing},
  number    = {7},
  issn      = {2072-4292},
  doi       = {10.3390/rs12071075},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-203557},
  year      = {2020},
  abstract  = {Land surface temperature (LST) is a fundamental parameter within the system of the Earth's surface and atmosphere, which can be used to describe the inherent physical processes of energy and water exchange. The need for LST has been increasingly recognised in agriculture, as it affects the growth phases of crops and crop yields. However, challenges in overcoming the large discrepancies between the retrieved LST and ground truth data still exist. Precise LST measurement depends mainly on accurately deriving the surface emissivity, which is very dynamic due to changing states of land cover and plant development. In this study, we present an LST retrieval algorithm for the combined use of multispectral optical and thermal UAV images, which has been optimised for operational applications in agriculture to map the heterogeneous and diverse agricultural crop systems of a research campus in Germany (April 2018). We constrain the emissivity using certain NDVI thresholds to distinguish different land surface types. The algorithm includes atmospheric corrections and environmental thermal emissions to minimise the uncertainties. In the analysis, we emphasise that the omission of crucial meteorological parameters and inaccurately determined emissivities can lead to a considerably underestimated LST; however, if the emissivity is underestimated, the LST can be overestimated. The retrieved LST is validated by reference temperatures from nearby ponds and weather stations. The validation of the thermal measurements indicates a mean absolute error of about 0.5 K. The novelty of the dual sensor system is that it simultaneously captures highly spatially resolved optical and thermal images, in order to construct the precise LST ortho-mosaics required to monitor plant diseases and drought stress and validate airborne and satellite data.},
  language  = {en}
}