Kühnel, A; Bogner, C: In-situ prediction of soil organic carbon by vis–NIR spectroscopy: an efficient use of limited field data, European Journal of Soil Science, 68, 689-702 (2017), doi:10.1111/ejss.12448
Abstract:

Visible–near-infrared diffuse reflectance spectroscopy (vis–NIR DRS) has been widely used to predict soil organic carbon (SOC) in the laboratory. Predictions made directly from soil spectra measured in situ under field conditions, however, remain challenging. This study addresses the issue of incorporating in-situ reflectance spectra efficiently into calibration data when a few field measurements only are available. We applied the synthetic minority oversampling technique (SMOTE) to generate new data with in-situ reflectance spectra from soil profiles. Subsequently, we combined existing spectral libraries with these new synthetic data to predict SOC by partial least squares regression (PLSR). We found that models with added synthetic spectra always outperformed models based on the spectral libraries alone and in most cases also those with added in-situ spectra only. We used the models to predict the distribution of SOC in soil profiles under five different land uses at Mount Kilimanjaro (Tanzania). Based on our results, we propose a framework for predicting SOC with a limited number of in-situ soil spectra. This framework could effectively reduce the costs of developing in-situ models for SOC at the local scale.

Aktuelle Termine


BayCEER-Kolloquium:
Mo. 25.06.2018
Öffentliche Vorträge im Rahmen der Besetzung der Professur "Sportökologie"
Do. 28.06.2018
From the field to the lab to integrated risk assessment of vector-borne pathogens
Ökologisch-Botanischer Garten:
Mi. 27.06.2018
Harmlos bis tödlich: Krankheiten der Bäume
So. 01.07.2018
Arzneipflanzen im Wandel der Zeit
Workshop:
Mi. 27.06.2018
GFBio Roadshow – Research Data Management for scientists, step by step (German Federation for Biological Data)
Wetter Versuchsflächen
Luftdruck (356m): 980.2 hPa
Lufttemperatur: 8.2 °C
Niederschlag: 0.0 mm/24h
Sonnenschein: <1 h/d
Wind (Höhe 17m): 5.4 km/h
Wind (Max.): 9.4 km/h
Windrichtung: W

...mehr
Globalstrahlung: 2 W/m²
Lufttemperatur: 6.7 °C
Niederschlag: 0.0 mm/24h
Sonnenschein: <1 h/d
Wind (Höhe 32m): 8.0 km/h
Wind (Max.): 17.6 km/h

...mehr
Diese Webseite verwendet Cookies. weitere Informationen