TY - JOUR A2 - Dematte, Jose Alexandre Melo AU - Gerighausen, Heike AU - Menz, Gunter AU - Kaufmann, Hermann PY - 2012 DA - 2012/10/10 TI - Spatially Explicit Estimation of Clay and Organic Carbon Content in Agricultural Soils Using Multi-Annual Imaging Spectroscopy Data SP - 868090 VL - 2012 AB - Information on soil clay and organic carbon content on a regional to local scale is vital for a multitude of reasons such as soil conservation, precision agriculture, and possibly also in the context of global environmental change. The objective of this study was to evaluate the potential of multi-annual hyperspectral images acquired with the HyMap sensor (450–2480 nm) during three flight campaigns in 2004, 2005, and 2008 for the prediction of clay and organic carbon content on croplands by means of partial least squares regression (PLSR). Supplementary, laboratory reflectance measurements were acquired under standardized conditions. Laboratory spectroscopy yielded prediction errors between 19.48 and 35.55 g kg⁻¹for clay and 1.92 and 2.46 g kg⁻¹for organic carbon. Estimation errors with HyMap image spectra ranged from 15.99 to 23.39 g kg⁻¹for clay and 1.61 to 2.13 g kg⁻¹for organic carbon. A comparison of parameter predictions from different years confirmed the predictive ability of the models. BRDF effects increased model errors in the overlap of neighboring flight strips up to 3 times, but an appropriated preprocessing method can mitigate these negative influences. Using multi-annual image data, soil parameter maps could be successively complemented. They are exemplarily shown providing field specific information on prediction accuracy and image data source. SN - 1687-7667 UR - https://doi.org/10.1155/2012/868090 DO - 10.1155/2012/868090 JF - Applied and Environmental Soil Science PB - Hindawi Publishing Corporation KW - ER -