Geologic analyses of Shuttle Imaging Radar (SIR-B) data of Kilauea Volcano, Hawaii

Gaddis, L. R.; Mouginis-Mark, P. J.; Singer, R. B.; Kaupp, V. H.

doi:10.1130/0016-7606(1989)101<0317:gaosir>2.3.co;2

Cited by 42 publications

(15 citation statements)

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“…For geological applications, statistical textural analysis methods, particularly the grey-level co-occurrence matrix (GLCM) based measures proposed by Haralick et al (1973), are the most popular ones (Weszka et al 1976, Shanmugam et al 1981, Blom and Daily 1982, Gaddis et al 1989, Wang and He 1990. These geological case studies used visual interpretation of texture images (for example, Gaddis et al 1989Gaddis et al , 1990, or scatter diagrams of textural features (for example, Shanmugam et al 1981, Wang andHe 1990), for detection of different rock unit textures.…”

Section: Introductionmentioning

confidence: 99%

Rock unit discrimination on Landsat TM, SIR-C and Radarsat images using spectral and textural information

Dong

Leblon

2004

International Journal of Remote Sensing

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The paper presents results for spectral and textural analysis of the rock units in Landsat Thematic Mapper (TM) images, dual-band (L and C) and dual-polarization (HH and HV) Shuttle Imaging Radar (SIR)-C images, and Cband HH polarization Standard Beam 4 and Extended High Incidence Beam 3 Radarsat images from a study area between California and Arizona, USA. Fractal dimension, lacunarity and grey-level co-occurrence matrix (GLCM) textural feature images were created from the SIR-C and Radarsat images. Fractal dimensions were calculated using a differential box counting method and lacunarity measures were obtained using a new grey-scale lacunarity estimation method for 36 sample images extracted from the SIR-C and Radarsat images. The fractal dimension and lacunarity curves and class signature separability analysis show that, for rock unit discrimination using image textural features in the study area, the SIR-C L-HH image is more suitable than other SIR-C images and Radarsat images, and that co-polarization (HH) generally provides more textural information than cross-polarization (HV) in the study area. The study also shows that lacunarity measures can reveal the scaling properties of radar image textures for rock units. The combination of spectral information from Landsat TM images and textural information from radar images improves the image classification accuracy of rock units in the study area.

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Section: Introductionmentioning

confidence: 99%

Rock unit discrimination on Landsat TM, SIR-C and Radarsat images using spectral and textural information

Dong

Leblon

2004

International Journal of Remote Sensing

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“…The quality of the phase retrieval is measured by a statistical Garvin, 1993], and studies using multiparameter radars [Gaddis et al, 1989;Mackay and Mouginis-Mark, 1997] show how the morphological differences of lava flows of different ages and morphologies can be exploited effectively. However, although models of radar scattering from lava flows exist [Campbell and Shepard, 1996], the complete scattering behavior of lava flows is not yet fully understood.…”

Section: Introductionmentioning

confidence: 99%

Surface movements of emplaced lava flows measured by synthetic aperture radar interferometry

Stevens¹,

Wadge²,

Williams³

et al. 2001

J. Geophys. Res.

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Abstract. Lava flows continue to move after they have been emplaced by flow mechanisms. This movement is largely vertical and can be detected using differential synthetic aperture radar (SAR) interferometry. There are three main components to this motion: (1) movement of surface scatterers, resulting in radar phase decorrelation, (2) measurable subsidence of the flow surface due to thermal contraction and clast repacking, and (3)

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“…Interpretation of data from planetary missions requires an understanding of related phenomena on Earth, a task that often includes a search for appropriate terrestrial analogues to planetary features. The Magellan radar mapping mission to Venus revealed a variety of volcanic features, and the interpretation of the radar images inspired a number of studies utilizing radar remote sensing of terrestrial volcanoes and lava flows [e.g., Greeley and Martel, 1988;Ford et al, 1989;Gaddis et al, 1989Gaddis et al, , 1990Campbell and Campbell, 1992;Arvidson et al, 1993;Mouginis-Mark, 1995;Campbell and Shepard, 1996]. A remarkable finding from Magellan was a class of apparently volcanic landforms referred to as ''steep-sided'' or ''pancake'' domes Pavri et al, 1992;McKenzie et al, 1992;Fink et al, 1993;Bridges, 1997;Stofan et al, 2000].…”

Section: Introductionmentioning

confidence: 99%

The unique radar properties of silicic lava domes

et al. 2004

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[1] Silicic lava domes exhibit distinct morphologic characteristics at scales of centimeters to kilometers. Multiparameter radar observations capture the unique geometric signatures of silicic domes in a set of radar scattering properties that are unlike any other natural geologic surfaces. Backscatter cross-section values are among the highest observed on terrestrial lava flows and show only a weak decrease with incidence angle. Crosspolarization backscatter (HV) shows a unique behavior, increasing with increasing wavelength. Circular polarization ratios are relatively high, in the 0.3-0.95 range, and increase with increasing wavelength. Field measurements of boulder size frequency distributions and microtopography indicate that silicic dome surfaces are among the roughest ever measured. Rms heights at a 1 m lateral scale range from 13 cm to 50 cm. Rms slopes at 1 m spacing range from 12 to 43 degrees. Modeling of the scattering behavior suggests it results from a combination of rough surface (facet) scattering and scattering from block edges that act as a random collection of dipoles. The unusual wavelength dependence of the radar parameters appears to result from a higher component of edge scattering at large wavelengths, producing, for example, higher cross-polarized backscatter at P band (68 cm). Steep-sided volcanic domes on Venus superficially resemble terrestrial silicic domes in plan view gross morphology, but few similarities remain when the radar scattering and three-dimensional shapes of the features are compared. The unique radar scattering properties suggest that such volcanic surfaces can be identified with multiparameter radar observations in future planetary radar missions and in active terrestrial volcanoes, where dome development can represent serious hazards.

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Geologic analyses of Shuttle Imaging Radar (SIR-B) data of Kilauea Volcano, Hawaii

Cited by 42 publications

References 0 publications

Rock unit discrimination on Landsat TM, SIR-C and Radarsat images using spectral and textural information

Rock unit discrimination on Landsat TM, SIR-C and Radarsat images using spectral and textural information

Surface movements of emplaced lava flows measured by synthetic aperture radar interferometry

The unique radar properties of silicic lava domes

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