Joyce, Karen E., Samsonov, Sergey, Manville, Vern, Jongens, Richard, Graettinger, Alison, and Cronin, Shane J. (2009) Remote sensing data types and techniques for lahar path detection: a case study at Mt Ruapehu, New Zealand. Remote Sensing of Environment, 113 (8). pp. 1778-1786.

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Abstract

Mt Ruapehu is New Zealand's most active onshore volcano. In 2007, the volcano produced a large lahar following a break-out from the summit Crater Lake. Here, satellite and airborne remote sensing and image processing is used to extract the path of the lahar using ASTER and SPOT5 visible and near infra-red imagery, ALOS-PALSAR L-band synthetic aperture RADAR data, and airborne LiDAR. The results obtained from each of these datasets were compared to the lahar deposit manually digitized from aerial photography. SPOT5 imagery produced the most accurate map of the lahar deposit (77% correct), even though these data were acquired a year after the event. This is attributed to the spatial resolution of the data. The ALOS-PALSAR coherence mapping calculated from images acquired 2 months before and nine months after the lahar was not as accurate as that obtained using the optical imagery (43% correct), but this was still considered an important tool for acquiring data during cloudy periods. LiDAR topographic data, collected to constrain geomorphic changes caused by the lahar, was the least accurate in terms of mapping the lahar path (28% correct). No single technique was deemed to be the most accurate under all circumstances, and a combination of data types would produce the best results. By combining the satellite and LiDAR data, it was possible to accurately classify 92% of the lahar path.

Item ID:	40847
Item Type:	Article (Research - C1)
ISSN:	1879-0704
Keywords:	ASTER; SPOT5; ALOS-PALSAR; LiDAR; Crater Lake; Mt Ruapehu; lahar
Funders:	New Zealand Foundation for Research Science and Technology (NZFRST)
Projects and Grants:	NZFRST C05X0403, NZFRST C05X0006
Date Deposited:	15 Mar 2016 23:54
FoR Codes:	09 ENGINEERING > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing @ 50% 04 EARTH SCIENCES > 0406 Physical Geography and Environmental Geoscience > 040604 Natural Hazards @ 50%
SEO Codes:	96 ENVIRONMENT > 9610 Natural Hazards > 961008 Natural Hazards in Mountain and High Country Environments @ 100%
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