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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 13

Zeitschriftenartikel

Wocher, Matthias; Berger, Katja; Verrelst, Jochem und Hank, Tobias (2022): Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas. In: Isprs Journal of Photogrammetry and Remote Sensing, Bd. 193: S. 104-114

Estevez, Jose; Salinero-Delgado, Matias; Berger, Katja; Pipia, Luca; Rivera-Caicedo, Juan Pablo; Wocher, Matthias; Reyes-Munoz, Pablo; Tagliabue, Giulia; Boschetti, Mirco und Verrelst, Jochem (2022): Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data. In: Remote Sensing of Environment, Bd. 273, 112958

Berger, Katja; Rivera Caicedo, Juan Pablo; Martino, Luca; Wocher, Matthias; Hank, Tobias und Verrelst, Jochem (2021): A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data. In: Remote Sensing, Bd. 13, Nr. 2, 287

Danner, Martin; Berger, Katja; Wocher, Matthias; Mauser, Wolfram und Hank, Tobias (2021): Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops. In: Isprs Journal of Photogrammetry and Remote Sensing, Bd. 173: S. 278-296

Estevez, Jose; Berger, Katja; Vicent, Jorge; Rivera-Caicedo, Juan Pablo; Wocher, Matthias und Verrelst, Jochem (2021): Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow. In: Remote Sensing, Bd. 13, Nr. 8, 1589

Berger, Katja; Verrelst, Jochem; Féret, Jean-Baptiste; Wang, Zhihui; Wocher, Matthias; Strathmann, Markus; Danner, Martin; Mauser, Wolfram und Hank, Tobias (2020): Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions. In: Remote Sensing of Environment, Bd. 242, 111758

Berger, Katja; Verrelst, Jochem; Feret, Jean-Baptiste; Hank, Tobias; Wocher, Matthias; Mauser, Wolfram und Camps-Valls, Gustau (2020): Retrieval of aboveground crop nitrogen content with a hybrid machine learning method. In: International Journal of Applied Earth Observation and Geoinformation, Bd. 92, 102174

Wocher, Matthias; Berger, Katja; Danner, Martin; Mauser, Wolfram und Hank, Tobias (2020): RTM-based dynamic absorption integrals for the retrieval of biochemical vegetation traits. In: International Journal of Applied Earth Observation and Geoinformation, Bd. 93, 102219

Danner, Martin; Berger, Katja; Wocher, Matthias; Mauser, Wolfram und Hank, Tobias (2019): Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies. In: Remote Sensing, Bd. 11, Nr. 10, 1150

Wocher, Matthias; Berger, Katja; Danner, Martin; Mauser, Wolfram und Hank, Tobias (2018): Physically-Based Retrieval of Canopy Equivalent Water Thickness Using Hyperspectral Data. In: Remote Sensing, Bd. 10, Nr. 12, 1924 [PDF, 6MB]

Berger, Katja; Atzberger, Clement; Danner, Martin; Wocher, Matthias; Mauser, Wolfram und Hank, Tobias (2018): Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model. In: Remote Sensing, Bd. 10, Nr. 12, 2063 [PDF, 1MB]

Berger, Katja; Atzberger, Clement; Danner, Martin; Wocher, Matthias; Mauser, Wolfram und Hank, Tobias (2018): Modellbasierte Selektion hyperspektraler EnMAP Kanäle zur optimalen Invertierung von Strahlungstransfermodellen für landwirtschaftliche Kulturen. In: Pfg-Journal of Photogrammetry Remote Sensing and Geoinformation Science, Bd. 86, Nr. 5-6: S. 263-272

Danner, Martin; Berger, Katja; Wocher, Matthias; Mauser, Wolfram und Hank, Tobias (2017): Retrieval of Biophysical Crop Variables from Multi-Angular Canopy Spectroscopy. In: Remote Sensing, Bd. 9, Nr. 7, 726 [PDF, 7MB]

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