Mapping the 2010 Merapi pyroclastic deposits using dual-polarization Synthetic Aperture Radar (SAR) data

被引:28
作者
Solikhin, Akhmad [1 ,3 ,4 ]
Pine, Virginie [2 ]
Vandemeulebrouck, Jean [2 ]
Thouret, Jean-Claude [3 ,4 ]
Hendrasto, Muhamad [1 ]
机构
[1] Ctr Volcanol & Geol Hazard Mitigat, Geol Agcy, Minist Energy & Mineral Resources, Bandung 40122, Indonesia
[2] Univ Savoie, CNRS, IRD, ISTerre, F-73376 Le Bourget Du Lac, France
[3] Univ Blaise Pascal, PRES Clermont, CNRS, Lab Magmas & Volcans,UMR 6524,IRD UR163, F-63038 Clermont Ferrand, France
[4] Univ Blaise Pascal, CLERVOLC, F-63038 Clermont Ferrand, France
关键词
Merapi; 2010; eruption; Pyroclastic deposits; ALOS-PALSAR; Dual polarization; Classification; Mapping; REMOTE-SENSING DATA; LAVA FLOWS; VOLCANO; ERUPTION; !text type='JAVA']JAVA[!/text; IMAGERY; SURFACE; FIELD;
D O I
10.1016/j.rse.2014.11.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
L-band ALOS-PALSAR images acquired before, during and after the 2010 Merapi eruption have been used to classify and map the pyroclastic deposits emplaced during this VEI-4 event. We characterize the deposits using direct-polarized and cross-polarized L-band SAR data and by combining the information of amplitude evolution with temporal decorrelation. Changes in amplitude of the radar signal enable us to map the pyroclastic density currents (PDCs) and tephra-fall deposits. Radar amplitudes in direct (HH) and cross (HV) polarizations decrease where the valley-confined and overbank block-and-ash flow (BAF) deposits (D1) are emplaced. Rainfall- and runoff-reworked PDC deposits (D2) are characterized by an increase in ground backscattering for HH polarization and a decrease for HV polarization. Ground backscattering transiently increases in both polarizations after pyrodastic surge (D3) and tephra fall (D4) deposition. We use a supervised classification method based on maximum likelihood to map the deposits D1-D4. The temporal decorrelation of the radar signal and the amplitude evolution improve the quality of classification results. Classification derived from ALOS-PALSAR images using the maximum likelihood classification provides a result with 70% classification accuracy for deposits overall. The estimated areas of valley-confined and overbank PDC deposits (either primary or reworked by rainfall and runoff) are consistent with the areas measured by other studies, while the large discrepancy in area estimated for pyroclastic-surge deposits can be partly explained by the strong erosion due to intense rainfall that removed a large part of these thin deposits. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:180 / 192
页数:13
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