Comparison of Portable and Bench-Top Spectrometers for Mid-Infrared Diffuse Reflectance Measurements of Soils. - Christopher Hutengs; Bernard Ludwig; András Jung; Andreas Eisele 003; Michael Vohland (Sensors, 2018)

Underwater Use of a Hyperspectral Camera to Estimate Optically Active Substances in the Water Column of Freshwater Lakes. - Michael Seidel; Christopher Hutengs; Felix Oertel; Daniel Schwefel; András Jung; Michael Vohland (Remote. Sens., 2020)

Detecting Tree Species Effects on Forest Canopy Temperatures with Thermal Remote Sensing: The Role of Spatial Resolution. - Ronny Richter; Christopher Hutengs; Christian Wirth 003; Lutz Bannehr; Michael Vohland (Remote. Sens., 2021)

A Machine Learning Framework for the Classification of Natura 2000 Habitat Types at Large Spatial Scales Using MODIS Surface Reflectance Data. - Fabian Sittaro; Christopher Hutengs; Sebastian Semella; Michael Vohland (Remote. Sens., 2022)

Accuracy and Reproducibility of Laboratory Diffuse Reflectance Measurements with Portable VNIR and MIR Spectrometers for Predictive Soil Organic Carbon Modeling. - Sebastian Semella; Christopher Hutengs; Michael Seidel; Mathias Ulrich; Birgit Schneider; Malte Ortner; Sören Thiele-Bruhn; Bernard Ludwig; Michael Vohland (Sensors, 2022)

Evaluation of Mid-Infrared and X-ray Fluorescence Data Fusion Approaches for Prediction of Soil Properties at the Field Scale. - Isabel Greenberg; Michael Vohland; Michael Seidel; Christopher Hutengs; Rachel Bezard; Bernard Ludwig (Sensors, 2023)

Which factors determine the invasion of plant species? Machine learning based habitat modelling integrating environmental factors and climate scenarios. - Fabian Sittaro; Christopher Hutengs; Michael Vohland (Int. J. Appl. Earth Obs. Geoinformation, 2023)