Christopher Hutengs

Doktorand

iDiv-Publikationen

 

Sittaro, F., Hutengs, C., Semella, S., Vohland, M.

(2022): A Machine Learning Framework for the Classification of Natura 2000 Habitat Types at Large Spatial Scales Using MODIS Surface Reflectance Data. Remote Sensing

Semella, S., Hutengs, C., Seidel, M., Ulrich, M., Schneider, B., Ortner, M., Thiele-Bruhn, S., Ludwig, B. and Vohland, M.

(2022): Accuracy and Reproducibility of Laboratory Diffuse Reflectance Measurements with Portable VNIR and MIR Spectrometers for Predictive Soil Organic Carbon Modeling. Sensors

Vohland, M., Ludwig, B., Seidel, M. and Hutengs, C.

(2022): Quantification of soil organic carbon at regional scale: Benefits of fusing vis-NIR and MIR diffuse reflectance data are greater for in situ than for laboratory-based modelling approaches. Geoderma

Hutengs, C., Eisenhauer, N., Schädler, M., Lochner, A., Seidel, M. and Vohland, M.

(2021): VNIR and MIR spectroscopy of PLFA-derived soil microbial properties and associated soil physicochemical characteristics in an experimental plant diversity gradient. Soil Biology and Biochemistry

Richter, R., C. Hutengs, C. Wirth, L. Bannehr, M. Vohland

(2021): Detecting Tree Species Effects on Forest Canopy Temperatures with Thermal Remote Sensing: The Role of Spatial Resolution. Remote Sensing

Hutengs, C., Seidel, M., Oertel, F., Ludwig, B., Vohland, M.

(2019): In situ and laboratory soil spectroscopy with portable visible-to-near-infrared and mid-infrared instruments for the assessment of organic carbon in soils. Geoderma

Seidel, M., Hutengs, C., Ludwig, B., Thiele-Bruhn, S., Vohland, M.

(2019): Strategies for the efficient estimation of soil organic carbon at the field scale with vis-NIR spectroscopy: Spectral libraries and spiking vs. local calibrations. Geoderma

Hutengs, C., Ludwig, B., Jung, A., Eisele, A., Vohland, M.

(2018): Comparison of Portable and Bench-Top Spectrometers for Mid-Infrared Diffuse Reflectance Measurements of Soils. Sensors
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Universität Leipzig
Institut für Geographie – Geoinformatik und Fernerkundung
Johannisallee 19/19a
04103 Leipzig

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+49 341 9732798
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Affiliation

Universität Leipzig

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