Experimental Investigation on Fragmentation Identification in Loose Slope Landslides by Infrared Emissivity Variability Features
-
Published:2023-10-27
Issue:21
Volume:15
Page:5132
-
ISSN:2072-4292
-
Container-title:Remote Sensing
-
language:en
-
Short-container-title:Remote Sensing
Author:
Liu Xiangxin1ORCID, Wu Lixin2ORCID, Mao Wenfei2, Sun Licheng2
Affiliation:
1. School of Civil and Surveying and Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China 2. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
Abstract
Infrared radiation (IR) features that are influenced by infrared emissivity ε and physical temperature Td have been successfully applied to the early-warning of landslides. Although the infrared emissivity of a rock is a key parameter to determine its thermal radiation properties, the effect of particle size on the infrared emissivity of rock fragments is unknown. So in this paper, granite, marble, and sandstone were used as examples to conduct infrared imaging experiments on rock fragments. Their equivalent emissivity was used to interpret the detected infrared emission, including that from indoor backgrounds. In addition, the characteristics of changes in equivalent emissivity were discussed with reference to changes in observation direction and zenith angle. Then, a computation model of equivalent emissivity based on multiple observation directions and zenith angles was built to reveal the change in equivalent emissivity with particle sizes. The result indicates that the indoor background radiation has a predominant direction just above the rock fragments. The maximum deviation of infrared brightness temperature (IBT) was 0.260 K, and the maximum deviation of equivalent emissivity among different observation directions and zenith angles was 0.0065. After eliminating the influence of directional and angle effects with the operation of normalization, the general law of equivalent emissivity for all rock fragments that change with particle size is consistent. The maximum equivalent emissivity occurs at particle size 5 mm in the condition of particle size larger than 1 mm, while the equivalent emissivity changes inversely with particle size in the condition of particle size smaller than 1 mm. Above all, this study contributes new cognitions to Remote Sensing Rock Mechanics, and provides valuable evidence for better thermal infrared remote sensing monitoring on loose slope landslides.
Funder
State Key Program of the National Natural Science Foundation of China Jiangxi Provincial Natural Science Foundation
Subject
General Earth and Planetary Sciences
Reference40 articles.
1. Wei, L., Zhang, Y., Zhao, Z., Zhong, X., Liu, S., Mao, Y., and Li, J. (2018). Analysis of mining waste dump site stability based on multiple remote sensing technologies. Remote Sens., 10. 2. Safety assessment of waste rock dump built on existing tailings ponds;Li;J. Cent. South Univ.,2015 3. The mobility of long-runout landslides;Eng. Geol.,2002 4. Grechi, G., Fiorucci, M., Marmoni, G.M., and Martino, S. (2021). 3D thermal monitoring of jointed rock masses through infrared thermography and photogrammetry. Remote Sens., 13. 5. Chang, Z., Du, Z., Zhang, F., Huang, F., Chen, J., Li, W., and Guo, Z. (2020). Landslide susceptibility prediction based on remote sensing images and GIS: Comparisons of supervised and unsupervised machine learning models. Remote Sens., 12.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|