Spectral reflectance of soil is a function of physical and chemical characteristics and its internal structure. Spectral reflectance provides a novel approach for soil allocation. This paper presents a nondestructive, rapid, and low-cost soil allocation method using topsoil spectral characteristics to allocate soil at the level of soil great group within Genetic Soil Classification of China. We measured the spectral reflectance in the visible and near-infrared regions (400–2500 nm) of 148 soil samples from 4 soil classes in the Songnen Plain of northeast China. We extracted the spectral characteristic parameters with clear physiochemical meanings for the topsoil samples, and compared these to the principle component, first spectral derivative and Continuum Removal of soil reflectance. Models were built using the K-means Clustering (K-mean), Multi-layer Perceptron Neural Network (MLPNN), Support Vector Machine (SVM), and Decision Tree (DT) methods. The DTs allocation model based on topsoil spectral characteristic parameters had the highest allocation accuracy. Only the allocation accuracy of Cambisols was <85%, because the spectral curve of Cambisols topsoil was similar to its adjacent soil due to soil erosion. This new method could simplify digital soil mapping, because topsoil spectra are easier to obtain than multilayer soil spectral data.
Geoderma – Elsevier
Published: Jun 15, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera