Simulating models for Phaeozem hyperspectral reflectance

• Published in: International journal of remote sensing Vol. 32; no. 13; pp. 3819 - 3834
• Main Authors: Liu, Huanjun, Zhang, Xinle, Yu, Wantai, Zhang, Bai, Song, Kaishan, Blackwell, J
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 01.01.2011
• Subjects: absorption; Animal, plant and microbial ecology; Applied geophysics; Biological and medical sciences; China; Computer simulation; Earth sciences; Earth, ocean, space; Exact sciences and technology; Fundamental and applied biological sciences. Psychology; General aspects. Techniques; illite; Internal geophysics; Mathematical models; organic matter; Reflectance; Reflectivity; Remote sensing; satellites; simulation models; Soil (material); soil properties; Spectra; spectral analysis; Teledetection and vegetation maps; vegetation; China; Heilongjiang China; Far East; Asia; data; sensitivity analysis; Parent; simulation; multispectral remote sensing; Laboratory; Phaeozems; Modeling; Spectral data; Continuum; solution; Simulation model; soils; satellites; Laboratory study; Multispectral detection; Property of soil; Curve; samples; Analysis method; materials; Hyperspectral characteristic; Control point; Reflectance; Northeast

It is difficult to analyse soil properties quantitatively with multispectral remote sensing data. An alternative solution is to determine the main spectral characteristic control points of soil hyperspectral reflectance curves by sensitivity analysis methods. Hyperspectral reflectance is simulated u...