NVINO - Ein Modell zur Simulation der N-Dynamik im Weinbau. - Kurt Christian Kersebaum; Claas Nendel (GIL Jahrestagung, 2006)

EU-Rotate_N - Ein europäisches Entscheidungshilfesystem zur Abschätzung ökologischer und ökonomischer Konsequenzen der N-Düngung in Fruchtfolgen des Feldgemüsebaus. - Claas Nendel; Clive Rahn; Kefeng Zhang; Robert Lillywhite; Carlos Ramos; Jordi Doltri; José Miguel de Paz; Hugh Riley; Matthias Fink; Kristian Thorup-Kristensen; Accursio Venezia; Chris Firth; et al. (GIL Jahrestagung, 2008)

Die Simulation von Winterweizenerträgen in Thüringen unter Verwendung von meteorologischen Daten unterschiedlicher räumlicher Auflösung. - Claas Nendel; Ralf Wieland; Wilfried Mirschel; Xenia Specka; Kurt Christian Kersebaum (GIL Jahrestagung, 2013)

Dynamic fuzzy models in agroecosystem modeling. - Ralf Wieland; Wilfried Mirschel; Claas Nendel; Xenia Specka (Environ. Model. Softw., 2013)

Crop modelling for integrated assessment of risk to food production from climate change. - Frank Ewert; Reimund P. Rötter; Marco Bindi; Heidi Webber; Marián Trnka; Kurt Christian Kersebaum; Jørgen Eivind Olesen; Martin K. van Ittersum; Sander Janssen; M. Rivington; Mikhail A. Semenov; Daniel Wallach 001; et al. (Environ. Model. Softw., 2015)

Analysis and classification of data sets for calibration and validation of agro-ecosystem models. - Kurt Christian Kersebaum; Kenneth J. Boote; J. S. Jorgenson; Claas Nendel; Marco Bindi; C. Frühauf; Thomas Gaiser; Gerrit Hoogenboom; C. Kollas; Jørgen Eivind Olesen; Reimund P. Rötter; Françoise Ruget; et al. (Environ. Model. Softw., 2015)

Multi-wheat-model ensemble responses to interannual climate variability. - Alex C. Ruane; Nicholas I. Hudson; Senthold Asseng; Davide Camarrano; Frank Ewert; Pierre Martre; Kenneth J. Boote; Peter J. Thorburn; Pramod K. Aggarwal; Carlos Angulo; Bruno Basso; Patrick Bertuzzi; et al. (Environ. Model. Softw., 2016)

Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops. - Gang Zhao; Holger Hoffmann; Jagadeesh B. Yeluripati; Xenia Specka; Claas Nendel; Elsa Coucheney; Matthias Kuhnert; Fulu Tao; Julie Constantin; Hélène Raynal; Edmar I. Teixeira; Balázs Grosz; et al. (Environ. Model. Softw., 2016)

The implication of input data aggregation on up-scaling soil organic carbon changes. - Balázs Grosz; Rene Dechow; Sören Gebbert; Holger Hoffmann; Gang Zhao; Julie Constantin; Hélène Raynal; Daniel Wallach 001; Elsa Coucheney; Elisabet Lewan; Henrik Eckersten; Xenia Specka; et al. (Environ. Model. Softw., 2017)

Kosteneffiziente Vermeidung von Treibhausgasemissionen durch Düngereduktion: standortspezifische Analyse mit simulierten Ertragsfunktionen. - Yusuf Nadi Karatay; Andreas Meyer-Aurich; Uwe Hunstock; Tommaso Stella; Claas Nendel (GIL Jahrestagung, 2019)

Mapping Crop Types and Cropping Systems in Nigeria with Sentinel-2 Imagery. - Esther Shupel Ibrahim; Philippe Rufin; Leon Nill; Bahareh Kamali; Claas Nendel; Patrick Hostert (Remote. Sens., 2021)

Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture. - Luca Zappa; Stefan Schlaffer; Bernhard Bauer-Marschallinger; Claas Nendel; Beate Zimmerman; Wouter Dorigo (Remote. Sens., 2021)

Field-Level Irrigation Monitoring with Integrated Use of Optical and Radar Time Series in Temperate Regions. - Gohar Ghazaryan; Stefan Ernst; Farina Sempel; Claas Nendel (IGARSS, 2022)

How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture? - Luca Zappa; Stefan Schlaffer; Luca Brocca; Mariette Vreugdenhil; Claas Nendel; Wouter Dorigo (Int. J. Appl. Earth Obs. Geoinformation, 2022)

A case for object capabilities as the foundation of a distributed environmental model and simulation infrastructure. - Michael Berg-Mohnicke; Claas Nendel (Environ. Model. Softw., 2022)

Application of extreme gradient boosting and Shapley Additive explanations to predict temperature regimes inside forests from standard open-field meteorological data. - Fatemeh Ghafarian; Ralf Wieland; Dietmar Lüttschwager; Claas Nendel (Environ. Model. Softw., 2022)

Ten deep learning techniques to address small data problems with remote sensing. - Anastasiia Safonova; Gohar Ghazaryan; Stefan Stiller; Magdalena Main-Knorn; Claas Nendel; Masahiro Ryo (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Quest to find compromised spatial and temporal resolutions for integrating remote sensing data with an agro-ecosystem model for grasslands. - Bahareh Kamali; Seyed Hamid Ahmadi; Thomas Gaiser; Marion Buddeberg; Claas Nendel (Int. J. Appl. Earth Obs. Geoinformation, 2024)