Title
Unsupervised clustering of soil spectral curves to obtain their stronger correlation with soil properties
Abstract
The laboratory measurements of the diffuse spectral reflectance of 212 soil samples, representing many various taxonomic units, collected throughout the area of arable lands in Poland, were conducted to investigate the relationship between the soil reflectance and their selected properties. It was found that among various tested transformations the first derivative of the soil reflectance was the one most strongly correlated with the content of textural fractions, soil organic carbon, Fe and CaCO3, The use of unsupervised Ward's Euclidian distance based on clustering algorithm to split the total dataset into subsets, according to the shape and the level of the soil spectra, improved the correlation between soil properties and the transformed spectral data. The highest values of the coefficient of determination R2 for clay and Fe contents on the total dataset reached only 0.64 and 0.56, respectively. Using the ED Ward's algorithm, six subsets were formed and their R2 increased up to 0.87 and 0.80, respectively.
Year
DOI
Venue
2010
10.1109/WHISPERS.2010.5594852
WHISPERS
Keywords
Field
DocType
calcium compounds,iron,organic compounds,reflectivity,remote sensing,soil,spectral analysis,caco3,fe,poland,arable land area,clustering algorithm,diffuse spectral reflectance,soil calcium carbonate content,soil iron content,soil organic carbon content,soil properties,soil reflectance first derivative,soil spectral curve unsupervised clustering,soil texture,unsupervised ward euclidean distance,correlation,diffuse reflectance spectroscopy,preprocessing,unsupervised clustering,spectral reflectance,soil organic carbon,system on a chip,coefficient of determination,carbon
Soil science,Derivative,Soil carbon,Spectral line,Coefficient of determination,Diffuse reflectance infrared fourier transform,Soil texture,Cluster analysis,Mathematics,Soil test
Conference
ISBN
Citations 
PageRank 
978-1-4244-8907-7
0
0.34
References 
Authors
0
9