Max Gerhards#

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2022#

  1. Katja Berger, Miriam Machwitz, Marlena Kycko, Shawn C. Kefauver, Shari Van Wittenberghe, Max Gerhards, Jochem Verrelst, Clement Atzberger, Christiaan van der Tol, Alexander Damm, Uwe Rascher, Ittai Herrmann, Veronica Sobejano Paz, Sven Fahrner, Roland Pieruschka, Egor Prikaziuk, Ma. Luisa Buchaillot, Andrej Halabuk, Marco Celesti, Gerbrand Koren, Esra Tunc Gormus, Micol Rossini, Michael Foerster, Bastian Siegmann, Asmaa Abdelbaki, Giulia Tagliabue, Tobias Hank, Roshanak Darvishzadeh, Helge Aasen, Monica Garcia, Isabel Pôças, Subhajit Bandopadhyay, Mauro Sulis, Enrico Tomelleri, Offer Rozenstein, Lachezar Filchev, Gheorghe Stancile, and Martin Schlerf (2022): Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review. Remote Sensing of Environment, 280, 113198. https://doi.org/10.1016/j.rse.2022.113198, Open Access ✔️.

2021#

  1. Elnaz Neinavaz, Martin Schlerf, Roshanak Darvishzadeh, Max Gerhards, and Andrew Skidmore (2021): Thermal infrared remote sensing of vegetation: Current status and perspectives. International Journal of Applied Earth Observation and Geoinformation, 102, 102415. https://doi.org/10.1016/J.JAG.2021.102415, Open Access ✔️.

2019#

  1. C. Articus, C. Caratiola, H. Dieckmann, Max Gerhards, Ralf Münnich, and Thomas Udelhoven (2019): Measuring well-being at local level using remote sensing and official statistics data. Rivista di Statistica Ufficiale, 9–42. Open Access ✔️.

  2. Max Gerhards, Martin Schlerf, Kaniska Mallick, and Thomas Udelhoven (2019): Challenges and future perspectives of multi-/Hyperspectral thermal infrared remote sensing for crop water-stress detection: A review. Remote Sensing, 11(10), 1240. https://doi.org/10.3390/rs11101240, Open Access ✔️.

2018#

  1. Max Gerhards, Martin Schlerf, Uwe Rascher, Thomas Udelhoven, Radoslaw Juszczak, Giorgio Alberti, Franco Miglietta, and Yoshio Inoue (2018): Analysis of Airborne Optical and Thermal Imagery for Detection of Water Stress Symptoms. Remote Sensing, 10(7), 1139. https://doi.org/10.3390/rs10071139, Open Access ✔️.

2016#

  1. Max Gerhards, Gilles Rock, Martin Schlerf, and Thomas Udelhoven (2016): Water stress detection in potato plants using leaf temperature, emissivity, and reflectance. International Journal of Applied Earth Observation and Geoinformation, 53, 27–39. https://doi.org/10.1016/j.jag.2016.08.004.

  2. Gilles Rock, Max Gerhards, Martin Schlerf, Christoph Hecker, and Thomas Udelhoven (2016): Plant species discrimination using emissive thermal infrared imaging spectroscopy. International Journal of Applied Earth Observation and Geoinformation, 53, 16–26. https://doi.org/10.1016/j.jag.2016.08.005.

2015#

  1. Max Gerhards, Gilles Rock, Martin Schlerf, Thomas Udelhoven, and Willy Werner. Water stress detection using hyperspectral thermal infrared remote sensing. In 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 1–4. IEEE, 2015. https://doi.org/10.1109/WHISPERS.2015.8075366.

2014#

  1. Gilles Rock, Max Gerhards, Thomas Gattung, Christoph Hecker, Thomas Udelhoven, Martin Schlerf, and Willy Werner. Species discrimination using emissive thermal infrared imaging spectroscopy. In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), volume 2014-June, 1–4. IEEE, 2014. https://doi.org/10.1109/WHISPERS.2014.8077500.

2013#

  1. Martin Schlerf, Gilles Rock, Chris Hecker, Philippe Lagueux, Franz Ronellenfitsch, Max Gerhards, Lucien Hoffmann, and Thomas Udelhoven. A thermal infrared imaging spectrometer for natural resources applications — First results. In 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), volume 2013-June, 1–4. IEEE, 2013. https://doi.org/10.1109/WHISPERS.2013.8080740.

2012#

  1. Martin Schlerf, Gilles Rock, Philippe Lagueux, Franz Ronellenfitsch, Max Gerhards, Lucien Hoffmann, and Thomas Udelhoven (2012): A hyperspectral thermal infrared imaging instrument for natural resources applications. Remote Sensing, 4(12), 3995–4009. https://doi.org/10.3390/rs4123995, Open Access ✔️.