Hyperspectral estimation of soil composition contents based on kernel principal component analysis and machine learning model
Author:
Affiliation:
1. Jilin Jianzhu University, College of Surveying and Exploration Engineering, Changchun
2. Northeastern University, College of Resources and Civil Engineering, Shenyang
3. Shenyang Geological Survey Center, China Geological Survey, Shenyang
Funder
National Natural Science Foundation of China
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference47 articles.
1. Spatial variability of soil properties in relation to land use and topography in a typical small watershed of the black soil region, northeastern China
2. Soil organic matter in urban soils: Estimation of elemental carbon by thermal oxidation and characterization of organic matter by solid-state 13C nuclear magnetic resonance (NMR) spectroscopy
3. Differences in the bioaccessibility of metals/metalloids in soils from mining and smelting areas (Copperbelt, Zambia)
4. Hyperspectral sensing of heavy metals in soil and vegetation: Feasibility and challenges
5. Prediction of Soil Nutrient Contents Using Visible and Near-Infrared Reflectance Spectroscopy
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