Martin Schlerf#

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2024#

  1. Lammert Kooistra, Katja Berger, Benjamin Brede, Lukas Valentin Graf, Helge Aasen, Jean-Louis Roujean, Miriam Machwitz, Martin Schlerf, Clement Atzberger, Egor Prikaziuk, Dessilava Ganeva, Enrico Tomelleri, Holly Croft, Pablo Reyes Muñoz, Virginia Garcia Millan, Roshanak Darvishzadeh, Gerbrand Koren, Ittai Herrmann, Offer Rozenstein, Santiago Belda, Miina Rautiainen, Stein Rune Karlsen, Cláudio Figueira Silva, Sofia Cerasoli, Jon Pierre, Emine Tanır Kayıkçı, Andrej Halabuk, Esra Tunc Gormus, Frank Fluit, Zhangzhan Cai, Marlena Kycko, Thomas Udelhoven, and Jochem Verrelst (2024): Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity. Biogeosciences, 21(2), 473–511. https://doi.org/10.5194/bg-21-473-2024, Open Access ✔️.

  2. Enmanuel Rodríguez Paulino, Martin Schlerf, Achim Röder, Johannes Stoffels, and Thomas Udelhoven (2024): Forest disturbance characterization in the era of earth observation big data: A mapping review. International Journal of Applied Earth Observation and Geoinformation, 128, 103755. https://doi.org/10.1016/j.jag.2024.103755, Open Access ✔️.

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. Asmaa Abdelbaki, Martin Schlerf, Rebecca Retzlaff, Miriam Machwitz, Jochem Verrelst, and Thomas Udelhoven (2021): Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging. Remote Sensing, 13(9), 1748. https://doi.org/10.3390/rs13091748, Open Access ✔️.

  2. 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. Asmaa Abdelbaki, Martin Schlerf, Wout Verhoef, and Thomas Udelhoven (2019): Introduction of Variable Correlation for the Improved Retrieval of Crop Traits Using Canopy Reflectance Model Inversion. Remote Sensing, 11(22), 2681. https://doi.org/10.3390/rs11222681, 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 ✔️.

  3. Miriam Machwitz, Erik Hass, Jürgen Junk, Thomas Udelhoven, and Martin Schlerf (2019): CropGIS–A web application for the spatial and temporal visualization of past, present and future crop biomass development. Computers and Electronics in Agriculture, 161, 185–193. https://doi.org/10.1016/j.compag.2018.04.026.

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 ✔️.

2017#

  1. Thomas Udelhoven, Martin Schlerf, Karl Segl, Kaniska Mallick, Christian Bossung, Rebecca Retzlaff, Gilles Rock, Peter Fischer, Andreas Müller, and Tobias Storch (2017): A satellite-based imaging instrumentation concept for hyperspectral thermal remote sensing. Sensors, 17(7), 1542. https://doi.org/10.3390/s17071542, 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.

  2. Thomas Udelhoven, Thiemo Knigge, Martin Schlerf, Christian Bossung, Karl Segl, Andreas Eisele, Andreas Müller, Tobias Storch, Ralf Reulke, Peter Fischer, and Gilles Rock. HiTeSEM: A satellite sensor concept for hyperspectral thermal remote sensing. In 36th International Symposium on Remote Sensing of Environment (ISRSE), 74. 2015. Open Access ✔️.

2014#

  1. Miriam Machwitz, Laura Giustarini, Christian Bossung, David Frantz, Martin Schlerf, Holger Lilienthal, Loise Wandera, Patrick Matgen, Lucien Hoffmann, and Thomas Udelhoven (2014): Enhanced biomass prediction by assimilating satellite data into a crop growth model. Environmental Modelling & Software, 62, 437–453. https://doi.org/10.1016/j.envsoft.2014.08.010.

  2. 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.

  2. Thomas Udelhoven, Philippe Delfosse, Christian Bossung, Franz Ronellenfitsch, Frédéric Mayer, Martin Schlerf, Miriam Machwitz, and Lucien Hoffmann (2013): Retrieving the bioenergy potential from maize crops using hyperspectral remote sensing. Remote Sensing, 5(1), 254–273. https://doi.org/10.3390/rs5010254, Open Access ✔️.

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 ✔️.

2010#

  1. Martin Schlerf, Clement Atzberger, Joachim Hill, Henning Buddenbaum, Willy Werner, and Gebhard Schüler (2010): Retrieval of chlorophyll and nitrogen in Norway spruce (Picea abies L. Karst.) using imaging spectroscopy. International Journal of Applied Earth Observation and Geoinformation, 12(1), 17–26. https://doi.org/10.1016/j.jag.2009.08.006.

2006#

  1. Martin Schlerf and Clement Atzberger (2006): Inversion of a forest reflectance model to estimate structural canopy variables from hyperspectral remote sensing data. Remote Sensing of Environment, 100(3), 281–294. https://doi.org/10.1016/j.rse.2005.10.006.

2005#

  1. Henning Buddenbaum, Martin Schlerf, and Joachim Hill (2005): Classification of coniferous tree species and age classes using hyperspectral data and geostatistical methods. International Journal of Remote Sensing, 26(24), 5453–5465. https://doi.org/10.1080/01431160500285076.

  2. Martin Schlerf, Clement Atzberger, and Joachim Hill (2005): Remote sensing of forest biophysical variables using HyMap imaging spectrometer data. Remote Sensing of Environment, 95, 177–194. https://doi.org/10.1016/j.rse.2004.12.016.

2004#

  1. missing booktitle in Schlerf.2004

2003#

  1. Martin Schlerf, Joachim Hill, Samuel Bärisch, and Clement Atzberger (2003): Einfluss der spektralen und rumlichen Auflsung von Fernerkundungsdaten bei der Nadelwaldklassifikation. Photogrammetrie - Fernerkundung - Geoinformation, 2003(1), 27–34. Open Access ✔️.

2002#

  1. Clement Atzberger and Martin Schlerf (2002): Automatisierte Bestimmung der Bestockungsdichte in Nadelwäldern aus räumlich hochauflösenden Ortholuftbildern. Photogrammetrie - Fernerkundung - Geoinformation, 171–180. Open Access ✔️.