Paper
17 August 1998 Variability of visible and near-infrared spectra of rocks
Xiaofang Guo, Runsheng Wang, Jicheng Cheng, Zonnggui Zhang
Author Affiliations +
Proceedings Volume 3502, Hyperspectral Remote Sensing and Application; (1998) https://doi.org/10.1117/12.317787
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China
Abstract
Although characteristics of visible and near-infrared spectra (0.4 - 2.5 micrometer) of rocks are dominated by electronic processes and molecular vibration processes that is related to chemical composition and structure of rocks, external behavior of spectra of rocks is adjusted by some factors, such as environmental conditions, physical structure of surface and viewing geometry, etc. The spectra of rocks can vary with the changes of these factors to a certain extent. It is obvious that variability of spectra of ground objects would degrade the interpretability of remote sensing images, and especially degrade the effectiveness of techniques of discriminating rocks based on remote sensing spectral features and spectral indexes to a large extent. To discriminate earth surface mineralogy and lithology more effectively and efficiently by remote sensing, especially by hyperspectral remote sensing, requires a good knowledge of variability of spectra of rocks. This paper describes and analyzes variability of reflectance spectra of rocks sampled in Zhangjiakou district of Hebei Province of China, under different light incident direction and incident angle, viewing direction and viewing angle, surface forms of rocks, grades of samples, and types and extents of weathering, etc.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaofang Guo, Runsheng Wang, Jicheng Cheng, and Zonnggui Zhang "Variability of visible and near-infrared spectra of rocks", Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); https://doi.org/10.1117/12.317787
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KEYWORDS
Absorption

Reflectivity

Remote sensing

Coating

Mineralogy

Minerals

Spectroscopy

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