L. Brodský

TL;DR: In this article, the authors developed and analyzed a global soil visible-near infrared (vis-NIR) spectral library, which is currently the largest and most diverse database of its kind, and showed that the information encoded in the spectra can describe soil composition and be associated to land cover and its global geographic distribution, which acts as a surrogate for global climate variability.

TL;DR: In this article, the authors evaluated the use of VNIR soil spectroscopy for mapping soil organic carbon (SOC) spatial distribution on a 100-ha arable field strongly affected by erosion.

TL;DR: In this article, a soil spectral library of the Czech soils (SSL-CZ) is proposed to build a digital soil mapping tool based on diffuse reflectance spectroscopy.

TL;DR: In this article, the authors used multivariate calibration techniques such as multiple linear regression (MLR), partial least squares regression (PLSR), support vector machines (SVM) or random forest (RF) to obtain a good prediction of soil oxidizable carbon (C ox ).

TL;DR: In this article, the authors examined consistency of spatial variation of plant-available soil nutrients P, K, Mg and soil pH in two fields of an area of 54 and 67.5 ha (haplic Luvisol and luvic Chernozem) in the region of Ceský Brod (Central Bohe mia).