High-resolution DEM generation from spaceborne and terrestrial remote sensing data for improved volcano hazard assessment - A case study at Nevado del Ruiz, Colombia

被引:24
|
作者
Deng, Fanghui [1 ]
Rodgers, Mel [1 ]
Xie, Surui [1 ]
Dixon, Timothy H. [1 ]
Charbonnier, Sylvain [1 ]
Gallant, Elisabeth A. [1 ]
Lopez Velez, Cristian Mauricio [2 ]
Ordonez, Milton [2 ]
Malservisi, Rocco [1 ]
Voss, Nicholas K. [1 ]
Richardson, Jacob A. [3 ,4 ]
机构
[1] Univ S Florida, Sch Geosci, Tampa, FL 33620 USA
[2] Colombian Geol Serv, Dept Geol Hazards, Manizales, Colombia
[3] NASA, Goddard Space Flight Ctr, Planetary Geol Geophys & Geochem Lab, Greenbelt, MD 20771 USA
[4] Univ Maryland, Dept Astron, College Pk, MD 20742 USA
基金
英国自然环境研究理事会; 美国国家科学基金会;
关键词
Nevado del Ruiz; Digital elevation model; TanDEM-X; InSAR; Terrestrial radar interferometry; Structure from motion; DEM fusion; Volcanic flow modeling; DIGITAL ELEVATION MODELS; 13; NOVEMBER; 1985; FROM-MOTION PHOTOGRAMMETRY; LAVA FLOW-VOLUME; TANDEM-X DATA; RADAR INTERFEROMETRY; JAKOBSHAVN ISBRAE; ASTER; ERUPTION; SRTM;
D O I
10.1016/j.rse.2019.111348
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Volcanoes with rugged terrain remain a challenging target for generating high-resolution digital elevation models (DEMs), especially in tropical areas with frequent cloud cover. Using Nevado del Ruiz volcano as an example, we combined DEMs from the TanDEM-X (TDX) satellite mission, terrestrial radar interferometry (TRI), and Structure from Motion (SfM), to generate a new DEM with 10-m spatial resolution. This is the first study combining satellite radar, ground-based radar, photography, and freely available global DEMs to generate a high-resolution DEM without data gaps. TDX data from ascending and descending orbits were combined to generate the base DEM. Instead of using a raster format to fuse DEMs generated from different data sets with different resolutions, we developed a methodology based on 3-D point clouds: 1) re-georeference the 5-m TRI and similar to 1-m SfM DEMs to the 10-m TDX DEM using the iterative closest point (ICP) algorithm to minimize the horizontal and vertical discrepancy between DEMs; then 2) merge the multiple point clouds to generate a final DEM without data gaps using an adaptive algorithm that uses two search distances to smooth the transition at the edges of different data sets. We assess the new 10-m DEM by comparing simulated inundation zones obtained with two volcano flow models, LaharZ (for lahars) and VolcFlow (for pyroclastic flows), and find significant differences with respect to the 30-m SRTM DEM. Our LaharZ simulation over the new DEM shows a longer lahar run-out distance. For pyroclastic flows, the VolcFlow simulation over the new DEM produces highly channelized flows over the steep portions of a river channel and gives a larger extent of thicker deposits compared to those obtained with the 30-m SRTM DEM. Quantitative and qualitative geomorphic analysis suggests that up-to-date DEMs with high spatial resolution (similar to 10 m or even better) need to be generated to improve volcano hazard assessment for active volcanoes.
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