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TIRLab

Thermal Infrared Laboratory

The Thermal Infrared Laboratory (TIRLab) of INGV-Osservatorio Vesuviano manages the thermal infrared permanent volcanic surveillance network (TIRNet) of the volcanic areas of Campi Flegrei and Vesuvio (Italy). TIRNet network is composed of 7 stations which acquire IR frames of diffuse degassing volcanic areas characterized by thermal anomalies.

Fabio Sansivero (responsabile)
Francesco Rufino
Alessandro Santi

Immagine IR Solfatara1

Solfatara1 station (working since 2006)

Solfatara1 station (SF1) acquires IR frames of diffuse degassing area in the SE sector of Solfatara crater including Bocca Grande and Bocca Nuova fumaroles.

Technical sheet of the station & data download

Immagine IR Solfatara2

Solfatara2 station (working since 2013)

Solfatara2 station (SF1) acquires IR frames of diffuse degassing area at the base of NW inner slope of Solfatara crater.

Technical sheet of the station & data download

Immagine IR Pisciarelli

Pisciarelli station (working since 2006)

Pisciarelli station (PS1) acquires IR frames of the diffuse degassing area of Pisciarelli at the base of the eastern outer slope of Solfatara volcanic edifice.

Technical sheet of the station & data download

Immagine IR Olibano

Olibano station (working since 2015)

Olibano station (OLIB) acquires IR frames of the diffuse degassing area on the southern slope of Monte Olibano lava dome.

Technical sheet of the station and data download

Immagine IR SOB

SOB station (working since 2016)

SOB station (SOB) acquires IR frames of the diffuse degassing area on the eastern rim of Solfatara volcanic edifice.

Technical sheet of the station and data download

Immagine IR Antiniana

Antiniana station (working since 2020)

Antiniana station (ANTN) acquires IR frames of the diffuse degassing area of Agnano - via Antiniana, at East of Solfatara volcanic edifice.

Technical sheet of the station and data download

Immagine IR Vesuvio

Vesuvio station (working since 2004)

Vesuvio station (VES) acquires IR frames of the diffuse degassing area of inner western rim of Vesuvio crater.

Technical sheet of the station and data download

Ubicazione rete TIRNet
See map

Map of stations sites and areas observed by TIRNet surveillance network (Google Map).

Ubicazione rete TIRNet
More info

Acquisition technology of TIRNet surveillance network.

block-diagram
More info

Description of data processing

Acquisition technology of TIRNet surveillance network

The first station of TIRNet network was installed on June 2004 at Vesuvius crater and after this date several technological improvements were applied to the network stations. All station are equipped with FLIR SC645/655 infrared cameras at present time. These cameras acquire IR frames at 640x480 resolution in the 7.5-13 μm thermal infrared bandwidth. Sensor accuracy is ± 2°C and thermal sensibility is 30 mK (at 50/60 Hz).

The thermal infrared Remote Monitoring Station (RMS) performs daily automated acquisition of IR images and their upload to a server of the INGV-Osservatorio Vesuviano Surveillance Center in Naples (Italy). The RMS was designed and developed by the Thermal Infrared Laboratory of the Osservatorio Vesuviano and both hardware and software are constantly technologically upgraded.
Detailed description of the hardware schematics of latest RMS is in Sansivero et al., 2025.

In the figure are illustrated the main components of the IR RMS:

A FLIR IR camera, protected by a stainless steel case with Germanium window, and an air Temperature and Humidity probe are connected to the IR RMS. The probe is necessary to perform real-time correction of the IR frames acquired by the FLIR camera.
Whole system is controlled by the Python ICARO (Infrared Camera Automation for Remote Observations) control software (download code: Icaro_v.4.5.zip).
ICARO main functionalities:

Basically, at scheduled times defined in custom settings, the ICARO software control module activates the TIR camera, LTE/UMTS or Wi-Fi connection, and the air temperature/humidity probe to perform the requested tasks. Once the tasks are completed, ICARO powers down the unused components to save battery energy.
ICARO also includes a basic web server with PHP functionality. If RMS is connected to a network, users can access the station’s web interface to control real-time TIR image acquisition and air temperature/humidity monitoring, and to upload this data to the server.
A comprehensive description of ICARO functionalities and RMS hardware schematics is provided in Sansivero et al., 2025.

IR station components

IR station components

Data processing

The TIR frames acquired by TIRNet stations are uploaded to the acquisition server at the Osservatorio Vesuviano data center and processed by the automated software A.S.I.R.A. (Automated System for IR Analysis developed by the OV Thermal Infrared Laboratory (© 2025 Fabio Sansivero). The ASIRA processing workflow consists of the following main steps: 1) quality assessment and exclusion of low-quality TIR frames and archiving of TIR input data; 2) co-registration of all frames with respect to a reference frame to correct possible pixel misalignments; 3) extraction of continuous time series of apparent temperatures from user selected areas (ROIs) within the TIR frames; 4) removal of seasonal components from the temperature time series via background removal or statistical decomposition methodologies; 5) evaluation of radiative heat fluxes and area variations in thermal anomaly. To deepen these functionalities refer to: Sansivero et al., 2025). Final temperature time-series are plotted in the Monitoring Room of  INGV-Osservatorio Vesuviano to improve volcanic surveillance.
Software code and user guide of ASIRA are available in the Download Section of this site.

Main data processing phases implemented in ASIRA are illustrated in the following flowchart.

Data processing Block-diagram

Software code download

- ICARO - RMS control module Python code. The Python code of ICARO (Infrared Camera Automation for Remote Observations) is developed under the Creative Commons Attribution 4.0 International License (© 2025 Fabio Sansivero).
- ASIRA for GNU Octave code - The GNU Octave version of A.S.I.R.A. (Automated System for IR Analysis) is an automated software of TIR analysis developed under the Creative Commons Attribution 4.0 International License (© 2025 Fabio Sansivero).
- Technical user manual of ASIRA - A comprehensive guide to the use of ASIRA and its configuration.


Details regarding ICARO and ASIRA code, their functionalities and TIR data analysis are available in:
Sansivero, F.; Vilardo, G.; Buonocunto C. Development of a Thermal Infrared Network for Volcanic and Environmental Monitoring Hardware Design and Data Analysis Software Code. Sensors 2025, 25, 4141.

Suggested publications about TIRNet network

Sansivero, F.; Vilardo, G.; Buonocunto C. Development of a Thermal Infrared Network for Volcanic and Environmental Monitoring Hardware Design and Data Analysis Software Code. Sensors 2025, 25, 4141. https://doi.org/10.3390/s25134141

Sansivero, F., Vilardo, G., 2024. Twenty Years of Thermal Infrared Observations (2004–2024) at Campi Flegrei Caldera (Italy) by the Permanent Surveillance Ground Network of INGV-Osservatorio Vesuviano. Remote Sensing, 16(17), 3352. https://doi.org/10.3390/rs16173352

Sansivero, F.; Vilardo, G., 2019. Processing Thermal Infrared Imagery Time-Series from Volcano Permanent Ground-Based Monitoring Network. Latest Methodological Improvements to Characterize Surface Temperatures Behavior of Thermal Anomaly Areas. Remote Sens., 11, 553. https://doi.org/10.3390/rs11050553

Vilardo, G.; Sansivero, F.; Chiodini, G., 2015. Long-term TIR imagery processing for spatiotemporal monitoring of surface thermal features in volcanic environment: A case study in the Campi Flegrei (Southern Italy). J. Geophys. Res. Solid Earth, 120, 812–826.

Sansivero, F., Scarpato, G., Vilardo, G., 2013. The automated infrared thermal imaging system for the continuous long-term monitoring of the surface temperature of the Vesuvius crater. Ann. Geophys., 56, S0454.

Contacts

Phd Fabio Sansivero (Responsible)