Automated detection and mapping of avalanche deposits using airborne optical remote sensing data

被引：52

作者：

Buehler, Y. ^{[1
]}

Hueni, A. ^{[1
]}

Christen, M. ^{[2
]}

Meister, R. ^{[2
]}

Kellenberger, T. ^{[1
]}

机构：

[1] Univ Zurich, Dept Geog, Remote Sensing Lab, CH-8057 Zurich, Switzerland

[2] WSL Inst Snow & Avalanche Res SLF, CH-7260 Davos, Switzerland

来源：

COLD REGIONS SCIENCE AND TECHNOLOGY | 2009年 / 57卷 / 2-3期

关键词：

Remote sensing; Avalanche detection; Avalanche mapping; Rapid mapping; Hazard mapping; Airborne digital scanner; SURFACE-ROUGHNESS; SNOW COVER; SPATIAL VARIABILITY; NEAREST NEIGHBORS; GRAIN-SIZE; SEA-ICE; MODEL; CLASSIFICATION; TEXTURE; RETRIEVAL;

D O I：

10.1016/j.coldregions.2009.02.007

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Rapidly available and accurate information about the location and extent of avalanche events is important for avalanche forecasting, safety assessments for roads and ski resorts, verification of warning products, as well as for hazard mapping and avalanche model calibration/validation. Today, observations from individual experts in the field provide isolated information with very limited coverage. This study presents a methodology for an automated, systematic and wide-area detection and mapping of avalanche deposits using optical remote sensing data of high spatial and radiometric resolution. A processing chain, integrating directional, textural and spectral information. is developed using ADS40 airborne digital scanner data acquired over a test site near Davos, Switzerland. Though certain limitations exist, encouraging detection and mapping accuracies can be reported. The presented approach is a promising addition to existing field observation methods for remote regions, and can be applied in otherwise inaccessible areas. (C) 2009 Elsevier B.V. All rights reserved

引用

页码：99 / 106

页数：8

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