Structural data collection with mobile devices: Accuracy, redundancy, and best practices

被引:64
作者
Allmendinger, Richard W. [1 ]
Siron, Christopher R. [1 ]
Scott, Chelsea P. [1 ,2 ]
机构
[1] Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14850 USA
[2] Arizona State Univ, Sch Earth & Space Explorat, Tempe, AZ USA
基金
美国国家科学基金会;
关键词
Smartphone; Compass; Orientation; Accuracy; Redundancy; NORTHERN CHILE; EXTENSION; SEQUENCE;
D O I
10.1016/j.jsg.2017.07.011
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Smart phones are equipped with numerous sensors that enable orientation data collection for structural geology at a rate up to an order of magnitude faster than traditional analog compasses. The rapidity of measurement enables field structural geologists, for the first time, to enjoy the benefits of data redundancy and quantitative uncertainty estimates. Recent work, however, has called into question the reliability of sensors on Android devices. We present here our experience with programming a new smart phone app from scratch, and using it and commercial apps on iOS devices along with analog compasses in a series of controlled tests and typical field use cases. Additionally, we document the relationships between iPhone measurements and visible structures in satellite, drawing on a database of 3700 iPhone measurements of coseismic surface cracks we made in northern Chile following the Mw8.1 Pisagua earthquake in 2014. By comparing phone-collected attitudes to orientations determined independently of the magnetic field, we avoid having to assume that the analog compass, which is subject to its own uncertainties, is the canonical instrument. Our results suggest that iOS devices are suitable for all but the most demanding applications as long as particular care is taken with respect to metal and electronic objects that could affect the magnetic field. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:98 / 112
页数:15
相关论文
共 15 条
[1]  
Allan A., 2011, BASIC SENSORS IOS PR
[2]  
Allmendinger R.W., 2012, Structural geology algorithms: Vectors and tensors in structural geology, DOI DOI 10.1017/CBO9780511920202
[3]  
[Anonymous], EOS
[4]  
Baker A, 2013, NAT GEOSCI, V6, P492, DOI [10.1038/ngeo1789, 10.1038/NGEO1789]
[5]   LiDAR, UAV or compass-clinometer? Accuracy, coverage and the effects on structural models [J].
Cawood, Adam J. ;
Bond, Clare E. ;
Howell, John A. ;
Butler, Robert W. H. ;
Totake, Yukitsugu .
JOURNAL OF STRUCTURAL GEOLOGY, 2017, 98 :67-82
[6]   Crack formation on top of propagating reverse faults of the Chuculay Fault System, northern Chile:: Insights from field data and numerical modelling [J].
Gonzalez, Gabriel ;
Gerbault, Muriel ;
Martinod, Joseph ;
Cembrano, Jose ;
Carrizo, Daniel ;
Allmendinger, Richard ;
Espina, Jacob .
JOURNAL OF STRUCTURAL GEOLOGY, 2008, 30 (06) :791-808
[7]  
Hama L, 2014, GEOLOGICAL ORIENTATI, P45
[8]   Slip distribution of the 2014 Mw=8.1 Pisagua, northern Chile, earthquake sequence estimated from coseismic fore-arc surface cracks [J].
Loveless, John P. ;
Scott, Chelsea P. ;
Allmendinger, Richard W. ;
Gonzalez, Gabriel .
GEOPHYSICAL RESEARCH LETTERS, 2016, 43 (19) :10134-10141
[9]   Surface cracks record long-term seismic segmentation of the Andean margin [J].
Loveless, John P. ;
Allmendinger, Richard W. ;
Pritchard, Matthew E. ;
Garroway, Jordan L. ;
Gonzalez, Gabriel .
GEOLOGY, 2009, 37 (01) :23-26
[10]   Pervasive cracking of the northern Chilean Coastal Cordillera:: New evidence for forearc extension [J].
Loveless, JP ;
Hoke, GD ;
Allmendinger, RW ;
González, G ;
Isacks, BL ;
Carrizo, DA .
GEOLOGY, 2005, 33 (12) :973-976