Mapping lava flow from the Kilauea eruption of 2018 in the east rift zone using space-based synthetic aperture radar

Lee, Je-Yun; Jung, Sunghyeon; Hong, Sungeon

doi:10.1080/15481603.2023.2176275

Cited by 5 publications

(2 citation statements)

References 53 publications

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“…The longest wavelength component of the InSAR LS rate maps contains an error due to satellite orbital uncertainty [74]. Precise orbit ephemerides provided by Sentinel-1 quality control subsystems are used to reduce the errors associated with satellite orbits [75]. To eliminate the topographic phase's effect and increase the accuracy of the calculations, the digital Shuttle Radar Topography Mission (SRTM) elevation model was used in the current work with a spatial resolution of 30 m for interference mapping.…”

Section: Interferometric Synthetic Aperture Radar (Insar)mentioning

confidence: 99%

Land Subsidence Susceptibility Mapping Using Interferometric Synthetic Aperture Radar (InSAR) and Machine Learning Models in a Semiarid Region of Iran

Gharechaee

Samani

Sigaroodi

et al. 2023

Land

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Most published studies identify groundwater extraction as the leading cause of land subsidence (LS). However, the causes of LS are not only attributable to groundwater extraction. Other land-use practices can also affect the occurrence of LS. In this study, radar interferometric techniques and machine learning (ML) models were used for the prediction, susceptibility zoning, and prioritization of influential variables in the occurrence of LS in the Bakhtegan basin. The LS rate was characterized by applying an interferometric synthetic aperture radar (InSAR). The recursive feature elimination (RFE) method was used to detect and select the dominant combination of indicators to prepare an LS susceptibility map. Three ML models, including random forest (RF), k-nearest neighbors (KNN), and classification and regression trees (CART), were used to develop predictive models. All three models had acceptable performance. Among the ML models, the RF model performed the best (i.e., Nash–Sutcliffe efficiency, Kling–Gupta efficiency, correlation coefficient, and percent bias metrics of 0.76, 0.78, 0.88, and 0.70 for validating phase, respectively). The analysis conducted on all three ML model outputs showed that high and very high LS susceptibility classes were located on or near irrigated agricultural land. The results indicate that the leading cause of land LS in the study region is not due to groundwater withdrawals. Instead, the distance from dams and the proximity to anticlines, faults, and mines are the most important identifiers of LS susceptibility. Additionally, the highest probability of LS susceptibility was found at distances less than 18 km from synclines, 6 to 13 km from anticlines, 23 km from dams, and distances less than 20 to more than 144 km from mines. The validated methods presented in this study are reproducible, transferrable, and recommended for mapping LS susceptibility in semiarid and arid climate zones with similar environmental conditions.

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Section: Interferometric Synthetic Aperture Radar (Insar)mentioning

confidence: 99%

Land Subsidence Susceptibility Mapping Using Interferometric Synthetic Aperture Radar (InSAR) and Machine Learning Models in a Semiarid Region of Iran

Gharechaee

Samani

Sigaroodi

et al. 2023

Land

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“…Another study mapped the 2021 lava paths in the Fagradalsfjall volcanic system using data provided by the Fire Information for Resource Management System (FIRMS) (Vasconez et al, 2022). SAR data have been used for volcanic monitoring, deformation analysis, and lava flow mapping of various volcanic eruptions, including the 2014-2015 Holuhraun eruption in Iceland (Dumont et al, 2018;Pedersen et al, 2017), the 2017-2018 unrest at Mount Agung in Indonesia (Albino et al, 2020), the 2011-2013 and 2018 Kilauea eruptions in Hawaii (Lee, Jung, & Hong, 2023;Poland et al, 2014), and the 2014-2015 Fogo eruption in Cabo Verde (Tiengo et al, 2021). Because SAR is not weather-dependent and has day and night capabilities, it can provide data on a continuous basis, making it extremely useful for monitoring and tracking lava flow (Pinel et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Lava Flow Mapping Using Sentinel-1 SAR Data at the Fagradalsfjall Volcano, Iceland

Delgado Balaguera,

Hölbling,

Dabiri

et al. 2023

giforum

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In March 2021, an eruption began in the Fagradalsfjall volcanic system in Iceland after a quiescence of 6,000 years, which also marked the end of more than 800 years of dormancy in the Reykjanes Peninsula. In areas of volcanic activity, lava flow mapping and analysis play a significant role in monitoring and disaster risk management, because lava flows represent potential hazards to surrounding areas. This study used object-based image analysis (OBIA) and Sentinel-1 synthetic aperture radar (SAR) data to map the extent of the Fagradalsfjall lava flow and its evolution. We investigated two images, acquired on 18 May 2021 and 30 September 2021, syn-and post-eruption respectively. The calculated lava inundation area was 2.07 km² for 18 May 2021, and 5.03 km² post-eruption. The results of the application of the OBIA method on Sentinel-1 backscatter data reveal a high potential for lava flow mapping as they show high agreement with existing reference data (accuracies from 79% to 93%). However, the outcomes should be evaluated carefully because factors such as spatial resolution, SAR geometrical distortions and the OBIA segmentation process can influence the classification results.

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On the ability of dual-polarimetric SAR measurements to observe lava flows under different volcanic environments

Ferrentino,

Bignami,

Nunziata

et al. 2023

International Journal of Applied Earth Observation and Geoinfor

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Mapping lava flow from the Kilauea eruption of 2018 in the east rift zone using space-based synthetic aperture radar

Cited by 5 publications

References 53 publications

Land Subsidence Susceptibility Mapping Using Interferometric Synthetic Aperture Radar (InSAR) and Machine Learning Models in a Semiarid Region of Iran

Land Subsidence Susceptibility Mapping Using Interferometric Synthetic Aperture Radar (InSAR) and Machine Learning Models in a Semiarid Region of Iran

Lava Flow Mapping Using Sentinel-1 SAR Data at the Fagradalsfjall Volcano, Iceland

On the ability of dual-polarimetric SAR measurements to observe lava flows under different volcanic environments

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