Applications of Ground-Based Infrared Cameras for Remote Sensing of Volcanic Plumes

被引:2
作者
Prata, Fred [1 ,2 ]
Corradini, Stefano [3 ]
Biondi, Riccardo [4 ]
Guerrieri, Lorenzo [3 ]
Merucci, Luca [3 ]
Prata, Andrew [5 ]
Stelitano, Dario [3 ]
机构
[1] AIRES Pty Ltd, Melbourne, Vic 3930, Australia
[2] Curtin Univ, Sch Elect Engn Comp & Math Sci, Kent St, Perth, WA 6102, Australia
[3] Ist Nazl Geofis & Vulcanol, Via Vigna Murata 605, I-00143 Rome, Italy
[4] CIMA Res Fdn, Via A Magilotto 2, I-17100 Savona, Italy
[5] CSIRO Environm, Res Way, Clayton, Vic 3168, Australia
关键词
infrared cameras; volcanic emissions; hazard assessment; RETRIEVAL; ASH; MASS;
D O I
10.3390/geosciences14030082
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Ground-based infrared cameras can be used effectively and safely to provide quantitative information about small to moderate-sized volcanic eruptions. This study describes an infrared camera that has been used to measure emissions from the Mt. Etna and Stromboli (Sicily, Italy) volcanoes. The camera provides calibrated brightness temperature images in a broadband (8-14 mu m) channel that is used to determine height, plume ascent rate and volcanic cloud/plume temperature and emissivity at temporal sampling rates of up to 1 Hz. The camera can be operated in the field using a portable battery and includes a microprocessor, data storage and WiFi. The processing and analyses of the data are described with examples from the field experiments. The updraft speeds of the small eruptions at Stromboli are found to decay with a timescale of similar to 10 min and the volcanic plumes reach thermal equilibrium within similar to 2 min. A strong eruption of Mt. Etna on 1 April 2021 was found to reach similar to 9 km, with ascent speeds of 10-20 ms-1. The plume, mostly composed of the gases CO2, water vapour and SO2, became bent over by the prevailing winds at high levels, demonstrating the need for multiple cameras to accurately infer plume heights.
引用
收藏
页数:19
相关论文
共 50 条
[21]   Inter-comparison of Various Approaches of Ground-based Active Remote Sensing of Cloud Water Content [J].
Wang, Qianqian ;
Zhao, Chuanfeng ;
Lv, Min ;
Li, Zhanqing .
REMOTE SENSING OF THE ATMOSPHERE, CLOUDS, AND PRECIPITATION V, 2014, 9259
[22]   The polarized Sun and sky radiometer SSARA: design, calibration, and application for ground-based aerosol remote sensing [J].
Grob, Hans ;
Emde, Claudia ;
Wiegner, Matthias ;
Seefeldner, Meinhard ;
Forster, Linda ;
Mayer, Bernhard .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2020, 13 (01) :239-258
[23]   Ground-Based Remote Sensing of Atmospheric Water Vapor Using High-Resolution FTIR Spectrometry [J].
Wu, Peng ;
Shan, Changgong ;
Liu, Chen ;
Xie, Yu ;
Wang, Wei ;
Zhu, Qianqian ;
Zeng, Xiangyu ;
Liang, Bin .
REMOTE SENSING, 2023, 15 (14)
[24]   A Review of Remote Sensing of Atmospheric Profiles and Cloud Properties by Ground-Based Microwave Radiometers in Central China [J].
Xu, Guirong .
REMOTE SENSING, 2024, 16 (06)
[25]   Statistical Modeling of Soil Moisture, Integrating Satellite Remote-Sensing (SAR) and Ground-Based Data [J].
Hosseini, Reza ;
Newlands, Nathaniel K. ;
Dean, Charmaine B. ;
Takemura, Akimichi .
REMOTE SENSING, 2015, 7 (03) :2752-2780
[26]   Atmospheric ammonia (NH3) over the Paris megacity: 9 years of total column observations from ground-based infrared remote sensing [J].
Tournadre, Benoit ;
Chelin, Pascale ;
Ray, Mokhtar ;
Cuesta, Juan ;
Kutzner, Rebecca D. ;
Landsheere, Xavier ;
Fortems-Cheiney, Audrey ;
Flaud, Jean-Marie ;
Hase, Frank ;
Blumenstock, Thomas ;
Orphal, Johannes ;
Viatte, Camille ;
Camy-Peyret, Claude .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2020, 13 (07) :3923-3937
[27]   Monitoring Subglacial Volcanic Eruption Using Ground-Based C-Band Radar Imagery [J].
Marzano, Frank Silvio ;
Barbieri, Stefano ;
Picciotti, Errico ;
Karlsdottir, Sigrun .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (01) :403-414
[28]   Validating Subglacial Volcanic Eruption Using Ground-Based C-Band Radar Imagery [J].
Marzano, Frank Silvio ;
Lamantea, Mirko ;
Montopoli, Mario ;
Oddsson, Bjorn ;
Gudmundsson, Magnus Tumi .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (04) :1266-1282
[29]   A ground-based remote sensing system for high-frequency and real-time monitoring of phytoplankton blooms [J].
Wang, Weijia ;
Shi, Kun ;
Zhang, Yibo ;
Li, Na ;
Sun, Xiao ;
Zhang, Dong ;
Zhang, Yunlin ;
Qin, Boqiang ;
Zhu, Guangwei .
JOURNAL OF HAZARDOUS MATERIALS, 2022, 439
[30]   The Occurrence of Particle Size Distribution Bimodality in Midlatitude Cirrus as Inferred from Ground-Based Remote Sensing Data [J].
Zhao, Yang ;
Mace, Gerald G. ;
Comstock, Jennifer M. .
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2011, 68 (06) :1162-1177