Infrared thermography monitoring of rock faces-Potential and pitfalls

被引:4
|
作者
Sass, Oliver [1 ]
Bauer, Christian [2 ]
Heil, Stefanie [2 ]
Schnepfleitner, Harald [2 ]
Kropf, Flora [2 ]
Gaisberger, Christoph [2 ]
机构
[1] Univ Bayreuth, Chair Geomorphol, Univ Str 30, D-95447 Bayreuth, Germany
[2] Karl Franzens Univ Graz, Dept Geog, Heinrichstr 36, A-8010 Graz, Austria
关键词
Infrared thermography (IRT); Rock; Reflectivity; Weathering; MASS;
D O I
10.1016/j.geomorph.2023.108837
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Rock surface temperatures are of fundamental importance for studies on weathering, rockfall and permafrost. Point temperature measurements may not reflect the small-scale variability of temperature as a function of micro-topography. To close this gap, infrared thermography (IRT) seems to be a simple and promising approach. However, there are several pitfalls in terms of interpretation, as radiation temperatures depend on emissivity and reflectivity of the rock, which in turn are influenced by rock type, surface roughness, wetness, surrounding weather conditions, and angle to the camera axis. We performed laboratory and exemplary field experiments in order to estimate the magnitude of possible errors. We used rough and smooth (sawn) specimen of six different stone types in wet and dry condition and took IRT images at different tilt angles between camera axis and rock surface. Furthermore, we applied the approach to a small rock outcrop (approx. 3 x 3 m) and to a rockwall (approx. 100 x 100 m). The results of the laboratory measurements show that the temperature error increases with increasing tilt angle of the rock surface. Depending on the nature of the reflected surroundings, radiation temperatures can be warmer or cooler than sensor temperatures. In typical settings, the error is low (<0.5 K) up to a tilt of 40 degrees but it may increase to >1 K at tilt angles of 50 degrees and more. Smooth and wet surfaces tend to be more prone to deviations. The field examples confirm the results of the laboratory tests. But they show that spatial differences in temperature can still be detected as the "true" differences are usually larger than the magnitude of error. We suggest to reduce the error of the IRT image by correcting temperatures using a high-resolution surface model.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Nondestructive rock porosity estimation by InfraRed Thermography applied to natural stones
    Mineo, Simone
    Pappalardo, Giovanna
    CONSTRUCTION AND BUILDING MATERIALS, 2022, 342
  • [32] Preliminary results on the estimation of porosity in intact rock through InfraRed Thermography
    Mineo, Simone
    Pappalardo, Giovanna
    RENDICONTI ONLINE SOCIETA GEOLOGICA ITALIANA, 2016, 41 : 316 - 319
  • [33] Nondestructive rock porosity estimation by InfraRed Thermography applied to natural stones
    Mineo, Simone
    Pappalardo, Giovanna
    Construction and Building Materials, 2022, 342
  • [34] Chelyabinsk - a rock with many different (stony) faces: An infrared study
    Morlok, Andreas
    Bischoff, Addi
    Patzek, Markus
    Sohn, Martin
    Hiesinger, Harald
    ICARUS, 2017, 284 : 431 - 442
  • [35] Infrared thermography: Recognising the optimisation potential in injection moulding
    Steinko, W
    KUNSTSTOFFE-PLAST EUROPE, 2003, 93 (10): : 118 - +
  • [36] Free Flap Monitoring Using Infrared Thermography: An Objective Adjunct to Clinical Monitoring
    Singla, Priyanka
    Dixit, Pawan Kumar
    Kala, Prakash Chandra
    Katrolia, Deepti
    Karmakar, Shilpi
    Humnekar, Akhilesh
    Singh, Apoorva Pratap
    INDIAN JOURNAL OF PLASTIC SURGERY, 2024, 57 (03) : 179 - 183
  • [37] FATIGUE MONITORING OF A DENTED PIPING SPECIMEN USING INFRARED THERMOGRAPHY
    Paiva, Vitor Eboli L.
    Gonzales, G. L. G.
    Vieira, R. D.
    Maneschy, J. E.
    Vieira, R. B.
    Freire, J. L. F.
    PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE, 2018, VOL 1A, 2019,
  • [38] Condition monitoring of exhaust system blowers using infrared thermography
    Bagavathiappan, S.
    Saravanan, T.
    George, N. P.
    Philip, John
    Jayakurnar, T.
    Raj, Baldev
    INSIGHT, 2008, 50 (09) : 512 - 515
  • [39] Robust Remote Monitoring of Breathing Function by using Infrared Thermography
    Pereira, Carina B.
    Yu, Xinchi
    Blazek, Vladimir
    Leonhardt, Steffen
    2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 4250 - 4253
  • [40] Human respiration monitoring using infrared thermography and artificial intelligence
    Jagadev, Preeti
    Giri, Lalat Indu
    BIOMEDICAL PHYSICS & ENGINEERING EXPRESS, 2020, 6 (03):