A software defoliant for geological analysis of band ratios
- 1 March 1987
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 8 (3) , 525-532
- https://doi.org/10.1080/01431168708948659
Abstract
Vegetation impedes the geological analysis of band ratio images, because it is both widely distributed in the surficial environment and can be spectrally similar to ferric oxides and clays when sampled by broad-band imaging devices. We address this problem by a technique we call ‘directed principal component analysis’ (DPCA) that involves calculating principal components on two input band ratio images. One ratio is a geological discriminant, conTused by the presence of vegetation; the second ratio is chosen for its suitability as a vegetation index. Once computed, the second DPC has the properties of a geological discriminant, but is less influenced by vegetation. The effects of vegetation, which are strongly correlated between the two input ratios, contribute chiefly to DPC#1. This simple method, applied selectively to airborne thematic mapper data, substantially reduces the effects of vegetation.Keywords
This publication has 9 references indexed in Scilit:
- Standardized principal componentsInternational Journal of Remote Sensing, 1985
- Influence of rock-soil spectral variation on the assessment of green biomassRemote Sensing of Environment, 1985
- Quantitative analysis of planetary reflectance spectra with principal components analysisJournal of Geophysical Research, 1985
- Quantitative determination of mineral types and abundances from reflectance spectra using principal components analysisJournal of Geophysical Research, 1985
- Estimation of the vegetation contribution to the 1·65/2·22 μm ratio in airborne thematic-mapper imagery of the Virginia Range, NevadaInternational Journal of Remote Sensing, 1985
- Constrained nonlinear method for estimating component spectra from multicomponent mixturesApplied Optics, 1983
- Use of multispectral scanner images for assessment of hydrothermal alteration in the Marysvale, Utah, mining areaEconomic Geology, 1983
- Use of Landsat multispectral scanner data for the definition of limonitic exposures in heavily vegetated areasEconomic Geology, 1983
- Mapping of hydrothermal alteration in the Cuprite mining district, Nevada, using aircraft scanner images for the spectral region 0.46 to 2.36µmGeology, 1977