Unmixing of soil types and estimation of soil exposure with simulated hyperspectral imagery
Date
2011
Authors
Summers, D.
Lewis, M.
Ostendorf, B.
Chittleborough, D.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
International Journal of Remote Sensing, 2011; 32(21):6507-6526
Statement of Responsibility
D. Summers, B. Ostendorf and D. Chittleborough
Conference Name
Abstract
Hyperspectral determination of soil types has the potential to become an important addition to the methods used for classification and mapping of soils. In this study laboratory measured spectra of different soils, vegetation and crop residue were combined to simulate hyperspectral remote sensing imagery. The overall aim was to examine the spectral unmixing of these materials under laboratory conditions to better understand the limits to prediction of soil types and determination of cover fractions. Two different methods were utilized to mix spectra of the soil and vegetation and substantial differences were observed in the unmixing results from the different image types, particularly in mixed pixels. Results found pure soils were easily distinguished from each other when not mixed with vegetation, while some mixes of soil and vegetation were confused as pure soil spectra. The accuracy of abundance fractions retrieved in the unmixing process also varied substantially with soil type and vegetation cover.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright status unknown