Articles | Volume 6, issue 2
https://doi.org/10.5194/gc-6-75-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gc-6-75-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Jun 2023
Research article |
| 05 Jun 2023
| 05 Jun 2023
Strategies for improving the communication of satellite-derived InSAR data for geohazards through the analysis of Twitter and online data portals
COMET, School of Earth and Environment, University of Leeds, Leeds
LS2 9JT, UK
John R. Elliott
COMET, School of Earth and Environment, University of Leeds, Leeds
LS2 9JT, UK
Susanna K. Ebmeier
COMET, School of Earth and Environment, University of Leeds, Leeds
LS2 9JT, UK
Juliet Biggs
COMET, School of Earth Sciences, University of Bristol, Bristol
BS8 1RJ, UK
Fabien Albino
ISTerre, University of Grenoble Alpes, Grenoble, France
Sarah K. Brown
School of Earth Sciences, University of Bristol, Queens Road, Bristol
BS8 1RJ, UK
Helen Burns
CEMAC, School of Earth and Environment, University of Leeds, Leeds
LS2 9JT, UK
Andrew Hooper
COMET, School of Earth and Environment, University of Leeds, Leeds
LS2 9JT, UK
Milan Lazecky
COMET, School of Earth and Environment, University of Leeds, Leeds
LS2 9JT, UK
Yasser Maghsoudi
COMET, School of Earth and Environment, University of Leeds, Leeds
LS2 9JT, UK
Richard Rigby
CEMAC, School of Earth and Environment, University of Leeds, Leeds
LS2 9JT, UK
Tim J. Wright
COMET, School of Earth and Environment, University of Leeds, Leeds
LS2 9JT, UK
Related authors
Lauren D. Rawlins, C. Scott Watson, Rakesh Bhambri, Nitesh Khadka, and Mohan B. Chand
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-751, https://doi.org/10.5194/essd-2025-751, 2026
Preprint under review for ESSD
Short summary
Short summary
Glacial lakes are expanding as glaciers melt in High Mountain Asia. These lakes store meltwater but can trigger dangerous outburst floods (GLOFs), threatening downstream communities. Using satellite imagery and deep learning, we mapped lakes across the Nepal-transboundary region (2017–2024) and found rapid growth, especially in the Koshi basin. This research supports the Glacial Lake Observatory, which will enable long-term monitoring and hazard reduction.
C. Scott Watson, Maggie Creed, Januka Gyawali, Sameer Shadeed, Jamal Dabbeek, Divya L. Subedi, and Rojina Haiju
EGUsphere, https://doi.org/10.5194/egusphere-2024-2722, https://doi.org/10.5194/egusphere-2024-2722, 2024
Preprint archived
Short summary
Short summary
We evaluate three flood modelling approaches to demonstrate their applicability in a data-sparse flash flood environment. We derive a reference flood extent using satellite imagery and show that a computationally fast flood model can match a fully physics-based model, whilst running 300 times faster. We also show that a 1 in 100-year rainfall event based on historical data (1985–2014) could increase by almost 40 % in the mid-future (2041–2060), which could cause 23 % (4 km2) greater inundation.
C. Scott Watson, John R. Elliott, Susanna K. Ebmeier, María Antonieta Vásquez, Camilo Zapata, Santiago Bonilla-Bedoya, Paulina Cubillo, Diego Francisco Orbe, Marco Córdova, Jonathan Menoscal, and Elisa Sevilla
Nat. Hazards Earth Syst. Sci., 22, 1699–1721, https://doi.org/10.5194/nhess-22-1699-2022, https://doi.org/10.5194/nhess-22-1699-2022, 2022
Short summary
Short summary
We assess how greenspaces could guide risk-informed planning and reduce disaster risk for the urbanising city of Quito, Ecuador, which experiences earthquake, volcano, landslide, and flood hazards. We use satellite data to evaluate the use of greenspaces as safe spaces following an earthquake. We find disparities regarding access to and availability of greenspaces. The availability of greenspaces that could contribute to community resilience is high; however, many require official designation.
Fang Chen, Meimei Zhang, Huadong Guo, Simon Allen, Jeffrey S. Kargel, Umesh K. Haritashya, and C. Scott Watson
Earth Syst. Sci. Data, 13, 741–766, https://doi.org/10.5194/essd-13-741-2021, https://doi.org/10.5194/essd-13-741-2021, 2021
Short summary
Short summary
We developed a 30 m dataset to characterize the annual coverage of glacial lakes in High Mountain Asia (HMA) from 2008 to 2017. Our results show that proglacial lakes are a main contributor to recent lake evolution in HMA, accounting for 62.87 % (56.67 km2) of the total area increase. Regional geographic variability of debris cover, together with trends in warming and precipitation over the past few decades, largely explains the current distribution of supra- and proglacial lake area.
Lauren D. Rawlins, C. Scott Watson, Rakesh Bhambri, Nitesh Khadka, and Mohan B. Chand
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-751, https://doi.org/10.5194/essd-2025-751, 2026
Preprint under review for ESSD
Short summary
Short summary
Glacial lakes are expanding as glaciers melt in High Mountain Asia. These lakes store meltwater but can trigger dangerous outburst floods (GLOFs), threatening downstream communities. Using satellite imagery and deep learning, we mapped lakes across the Nepal-transboundary region (2017–2024) and found rapid growth, especially in the Koshi basin. This research supports the Glacial Lake Observatory, which will enable long-term monitoring and hazard reduction.
Kirsty J. Pringle, Richard Rigby, Steven T. Turnock, Carly L. Reddington, Meruyert Shayakhmetova, Malcolm Illingworth, Denis Barclay, Neil Chue Hong, Ed Hawkins, Douglas S. Hamilton, Ethan Brain, and James B. McQuaid
Geosci. Commun., 8, 229–236, https://doi.org/10.5194/gc-8-229-2025, https://doi.org/10.5194/gc-8-229-2025, 2025
Short summary
Short summary
The Air Quality Stripes images visualise historical changes in particulate matter air pollution in over 150 cities worldwide. The project celebrates significant improvements in air quality in regions like Europe, North America, and China while highlighting the urgent need for action in areas such as central Asia. Designed to raise awareness, the images aim to inspire discussions about the critical impact of air pollution and the global inequalities it causes.
Yikai Zhu, Anna E. Hogg, Andrew Hooper, and Benjamin J. Wallis
The Cryosphere, 19, 3971–3989, https://doi.org/10.5194/tc-19-3971-2025, https://doi.org/10.5194/tc-19-3971-2025, 2025
Short summary
Short summary
This study investigates the long- and short-term changes in the grounding line of the Amery Ice Shelf in East Antarctica, using satellite observations and a method called Differential Range Offset Tracking (DROT). Our findings show how the grounding line behaves in response to tides and other environmental factors, with implications for understanding ice shelf stability.
Benjamin J. Davison, Anna E. Hogg, Thomas Slater, Richard Rigby, and Nicolaj Hansen
Earth Syst. Sci. Data, 17, 3259–3281, https://doi.org/10.5194/essd-17-3259-2025, https://doi.org/10.5194/essd-17-3259-2025, 2025
Short summary
Short summary
Grounding line discharge is a measure of the amount of ice entering the ocean from an ice mass. This paper describes a dataset of grounding line discharge for the Antarctic Ice Sheet and each of its glaciers. The dataset shows that Antarctic Ice Sheet grounding line discharge has increased since 1996.
Aishah I. Shittu, Kirsty J. Pringle, Stephen R. Arnold, Richard J. Pope, Ailish M. Graham, Carly Reddington, Richard Rigby, and James B. McQuaid
Atmos. Meas. Tech., 18, 817–828, https://doi.org/10.5194/amt-18-817-2025, https://doi.org/10.5194/amt-18-817-2025, 2025
Short summary
Short summary
The study highlighted the performance of Atmotube PRO sensor particulate matter (PM) data. The result showed inter-sensor variability among the Atmotube PRO sensor data. This study showed 62.5 % of the sensors used for the study exhibited greater precision in their PM2.5 measurements. The overall performance showed that sensors passed the base testing using 1 h averaged data and that a multiple linear regression model using relative humidity values improved the performance of the PM2.5 data.
Benjamin J. Wallis, Anna E. Hogg, Yikai Zhu, and Andrew Hooper
The Cryosphere, 18, 4723–4742, https://doi.org/10.5194/tc-18-4723-2024, https://doi.org/10.5194/tc-18-4723-2024, 2024
Short summary
Short summary
The grounding line, where ice begins to float, is an essential variable to understand ice dynamics, but in some locations it can be challenging to measure with established techniques. Using satellite data and a new method, Wallis et al. measure the grounding line position of glaciers and ice shelves in the Antarctic Peninsula and find retreats of up to 16.3 km have occurred since the last time measurements were made in the 1990s.
C. Scott Watson, Maggie Creed, Januka Gyawali, Sameer Shadeed, Jamal Dabbeek, Divya L. Subedi, and Rojina Haiju
EGUsphere, https://doi.org/10.5194/egusphere-2024-2722, https://doi.org/10.5194/egusphere-2024-2722, 2024
Preprint archived
Short summary
Short summary
We evaluate three flood modelling approaches to demonstrate their applicability in a data-sparse flash flood environment. We derive a reference flood extent using satellite imagery and show that a computationally fast flood model can match a fully physics-based model, whilst running 300 times faster. We also show that a 1 in 100-year rainfall event based on historical data (1985–2014) could increase by almost 40 % in the mid-future (2041–2060), which could cause 23 % (4 km2) greater inundation.
Richard J. Pope, Fiona M. O'Connor, Mohit Dalvi, Brian J. Kerridge, Richard Siddans, Barry G. Latter, Brice Barret, Eric Le Flochmoen, Anne Boynard, Martyn P. Chipperfield, Wuhu Feng, Matilda A. Pimlott, Sandip S. Dhomse, Christian Retscher, Catherine Wespes, and Richard Rigby
Atmos. Chem. Phys., 24, 9177–9195, https://doi.org/10.5194/acp-24-9177-2024, https://doi.org/10.5194/acp-24-9177-2024, 2024
Short summary
Short summary
Ozone is a potent air pollutant in the lower troposphere, with adverse impacts on human health. Satellite records of tropospheric ozone currently show large-scale inconsistencies in long-term trends. Our detailed study of the potential factors (e.g. satellite errors, where the satellite can observe ozone) potentially driving these inconsistencies found that, in North America, Europe, and East Asia, the underlying trends are typically small with large uncertainties.
Jean-Paul Vernier, Thomas J. Aubry, Claudia Timmreck, Anja Schmidt, Lieven Clarisse, Fred Prata, Nicolas Theys, Andrew T. Prata, Graham Mann, Hyundeok Choi, Simon Carn, Richard Rigby, Susan C. Loughlin, and John A. Stevenson
Atmos. Chem. Phys., 24, 5765–5782, https://doi.org/10.5194/acp-24-5765-2024, https://doi.org/10.5194/acp-24-5765-2024, 2024
Short summary
Short summary
The 2019 Raikoke eruption (Kamchatka, Russia) generated one of the largest emissions of particles and gases into the stratosphere since the 1991 Mt. Pinatubo eruption. The Volcano Response (VolRes) initiative, an international effort, provided a platform for the community to share information about this eruption and assess its climate impact. The eruption led to a minor global surface cooling of 0.02 °C in 2020 which is negligible relative to warming induced by human greenhouse gas emissions.
Richard J. Pope, Alexandru Rap, Matilda A. Pimlott, Brice Barret, Eric Le Flochmoen, Brian J. Kerridge, Richard Siddans, Barry G. Latter, Lucy J. Ventress, Anne Boynard, Christian Retscher, Wuhu Feng, Richard Rigby, Sandip S. Dhomse, Catherine Wespes, and Martyn P. Chipperfield
Atmos. Chem. Phys., 24, 3613–3626, https://doi.org/10.5194/acp-24-3613-2024, https://doi.org/10.5194/acp-24-3613-2024, 2024
Short summary
Short summary
Tropospheric ozone is an important short-lived climate forcer which influences the incoming solar short-wave radiation and the outgoing long-wave radiation in the atmosphere (8–15 km) where the balance between the two yields a net positive (i.e. warming) effect at the surface. Overall, we find that the tropospheric ozone radiative effect ranges between 1.21 and 1.26 W m−2 with a negligible trend (2008–2017), suggesting that tropospheric ozone influences on climate have remained stable with time.
William J. Dow, Christine M. McKenna, Manoj M. Joshi, Adam T. Blaker, Richard Rigby, and Amanda C. Maycock
Weather Clim. Dynam., 5, 357–367, https://doi.org/10.5194/wcd-5-357-2024, https://doi.org/10.5194/wcd-5-357-2024, 2024
Short summary
Short summary
Changes to sea surface temperatures in the extratropical North Pacific are driven partly by patterns of local atmospheric circulation, such as the Aleutian Low. We show that an intensification of the Aleutian Low could contribute to small changes in temperatures across the equatorial Pacific via the initiation of two mechanisms. The effect, although significant, is unlikely to explain fully the recently observed multi-year shift of a pattern of climate variability across the wider Pacific.
Richard J. Pope, Brian J. Kerridge, Richard Siddans, Barry G. Latter, Martyn P. Chipperfield, Wuhu Feng, Matilda A. Pimlott, Sandip S. Dhomse, Christian Retscher, and Richard Rigby
Atmos. Chem. Phys., 23, 14933–14947, https://doi.org/10.5194/acp-23-14933-2023, https://doi.org/10.5194/acp-23-14933-2023, 2023
Short summary
Short summary
Ozone is a potent air pollutant, and we present the first study to investigate long-term changes in lower tropospheric column ozone (LTCO3) from space. We have constructed a merged LTCO3 dataset from GOME-1, SCIAMACHY and OMI between 1996 and 2017. Comparing LTCO3 between the 1996–2000 and 2013–2017 5-year averages, we find significant positive increases in the tropics/sub-tropics, while in the northern mid-latitudes, we find small-scale differences.
E. Karami, N. Alizadeh, H. Farhadi, H. Abdolazimi, and Y. Maghsoudi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 371–378, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-371-2023, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-371-2023, 2023
Luke N. J. Wedmore, Tess Turner, Juliet Biggs, Jack N. Williams, Henry M. Sichingabula, Christine Kabumbu, and Kawawa Banda
Solid Earth, 13, 1731–1753, https://doi.org/10.5194/se-13-1731-2022, https://doi.org/10.5194/se-13-1731-2022, 2022
Short summary
Short summary
Mapping and compiling the attributes of faults capable of hosting earthquakes are important for the next generation of seismic hazard assessment. We document 18 active faults in the Luangwa Rift, Zambia, in an active fault database. These faults are between 9 and 207 km long offset Quaternary sediments, have scarps up to ~30 m high, and are capable of hosting earthquakes from Mw 5.8 to 8.1. We associate the Molaza Fault with surface ruptures from two unattributed M 6+ 20th century earthquakes.
Jack N. Williams, Luke N. J. Wedmore, Åke Fagereng, Maximilian J. Werner, Hassan Mdala, Donna J. Shillington, Christopher A. Scholz, Folarin Kolawole, Lachlan J. M. Wright, Juliet Biggs, Zuze Dulanya, Felix Mphepo, and Patrick Chindandali
Nat. Hazards Earth Syst. Sci., 22, 3607–3639, https://doi.org/10.5194/nhess-22-3607-2022, https://doi.org/10.5194/nhess-22-3607-2022, 2022
Short summary
Short summary
We use geologic and GPS data to constrain the magnitude and frequency of earthquakes that occur along active faults in Malawi. These faults slip in earthquakes as the tectonic plates on either side of the East African Rift in Malawi diverge. Low divergence rates (0.5–1.5 mm yr) and long faults (5–200 km) imply that earthquakes along these faults are rare (once every 1000–10 000 years) but could have high magnitudes (M 7–8). These data can be used to assess seismic risk in Malawi.
C. Scott Watson, John R. Elliott, Susanna K. Ebmeier, María Antonieta Vásquez, Camilo Zapata, Santiago Bonilla-Bedoya, Paulina Cubillo, Diego Francisco Orbe, Marco Córdova, Jonathan Menoscal, and Elisa Sevilla
Nat. Hazards Earth Syst. Sci., 22, 1699–1721, https://doi.org/10.5194/nhess-22-1699-2022, https://doi.org/10.5194/nhess-22-1699-2022, 2022
Short summary
Short summary
We assess how greenspaces could guide risk-informed planning and reduce disaster risk for the urbanising city of Quito, Ecuador, which experiences earthquake, volcano, landslide, and flood hazards. We use satellite data to evaluate the use of greenspaces as safe spaces following an earthquake. We find disparities regarding access to and availability of greenspaces. The availability of greenspaces that could contribute to community resilience is high; however, many require official designation.
Tayeb Smail, Mohamed Abed, Ahmed Mebarki, and Milan Lazecky
Nat. Hazards Earth Syst. Sci., 22, 1609–1625, https://doi.org/10.5194/nhess-22-1609-2022, https://doi.org/10.5194/nhess-22-1609-2022, 2022
Short summary
Short summary
The Sentinel-1 SAR datasets and Sentinel-2 data are used in this study to investigate the impact of natural hazards (earthquakes and landslides) on struck areas. In InSAR processing, the use of DInSAR, CCD methods, and the LiCSBAS tool permit generation of time-series analysis of ground changes. Three land failures were detected in the study area. CCD is suitable to map landslides that may remain undetected using DInSAR. In Grarem, the failure rim is clear in coherence and phase maps.
Fang Chen, Meimei Zhang, Huadong Guo, Simon Allen, Jeffrey S. Kargel, Umesh K. Haritashya, and C. Scott Watson
Earth Syst. Sci. Data, 13, 741–766, https://doi.org/10.5194/essd-13-741-2021, https://doi.org/10.5194/essd-13-741-2021, 2021
Short summary
Short summary
We developed a 30 m dataset to characterize the annual coverage of glacial lakes in High Mountain Asia (HMA) from 2008 to 2017. Our results show that proglacial lakes are a main contributor to recent lake evolution in HMA, accounting for 62.87 % (56.67 km2) of the total area increase. Regional geographic variability of debris cover, together with trends in warming and precipitation over the past few decades, largely explains the current distribution of supra- and proglacial lake area.
Jack N. Williams, Hassan Mdala, Åke Fagereng, Luke N. J. Wedmore, Juliet Biggs, Zuze Dulanya, Patrick Chindandali, and Felix Mphepo
Solid Earth, 12, 187–217, https://doi.org/10.5194/se-12-187-2021, https://doi.org/10.5194/se-12-187-2021, 2021
Short summary
Short summary
Earthquake hazard is often specified using instrumental records. However, this record may not accurately forecast the location and magnitude of future earthquakes as it is short (100s of years) relative to their frequency along geologic faults (1000s of years). Here, we describe an approach to assess this hazard using fault maps and GPS data. By applying this to southern Malawi, we find that its faults may host rare (1 in 10 000 years) M 7 earthquakes that pose a risk to its growing population.
Cited articles
Acar, A. and Muraki, Y.: Twitter for crisis communication: lessons learned
from Japan's tsunami disaster, International Journal of Web Based
Communities, 7, 392–402, 2011.
Albino, F., Biggs, J., and Syahbana, D. K.: Dyke intrusion between
neighbouring arc volcanoes responsible for 2017 pre-eruptive seismic swarm
at Agung, Nat. Commun., 10, 748, https://doi.org/10.1038/s41467-019-08564-9, 2019.
Anantrasirichai, N., Biggs, J., Albino, F., Hill, P., and Bull, D.:
Application of Machine Learning to Classification of Volcanic Deformation in
Routinely Generated InSAR Data, J. Geophys. Res.-Sol.
Ea., 123, 6592–6606, https://doi.org/10.1029/2018jb015911, 2018.
Atwood, D. K., Meyer, F., and Arendt, A.: Using L-band SAR coherence to
delineate glacier extent, Can. J. Remote Sens., 36, S186–S195,
https://doi.org/10.5589/m10-014, 2010.
Biggs, J. and Wright, T. J.: How satellite InSAR has grown from
opportunistic science to routine monitoring over the last decade, Nat. Commun., 11, 3863, https://doi.org/10.1038/s41467-020-17587-6, 2020.
Biggs, J., Dogru, F., Dagliyar, A., Albino, F., Yip, S., Brown, S.,
Anantrasirichai, N., and Atıcı, G.: Baseline monitoring of volcanic regions with little recent activity: application of Sentinel-1 InSAR to
Turkish volcanoes, Journal of Applied Volcanology, 10, 2,
https://doi.org/10.1186/s13617-021-00102-x, 2021.
Biggs, J., Anantrasirichai, N., Albino, F., Lazecky, M., and Maghsoudi, Y.:
Large-scale demonstration of machine learning for the detection of volcanic
deformation in Sentinel-1 satellite imagery, B. Volcanol., 84,
100, https://doi.org/10.1007/s00445-022-01608-x, 2022.
Broersma, M. and Graham, T.: Twitter as a news source, Journalism Practice,
7, 446–464, https://doi.org/10.1080/17512786.2013.802481, 2013.
Bruneau, P., Brangbour, E., Marchand-Maillet, S., Hostache, R., Chini, M.,
Pelich, R.-M., Matgen, P., and Tamisier, T.: Measuring the Impact of Natural
Hazards with Citizen Science: The Case of Flooded Area Estimation Using
Twitter, Remote Sens.-Basel, 13, 1153, https://doi.org/10.3390/rs13061153, 2021.
Burrows, K., Walters, R. J., Milledge, D., Spaans, K., and Densmore, A. L.:
A New Method for Large-Scale Landslide Classification from Satellite Radar,
Remote Sens.-Basel, 11, 237, https://doi.org/10.3390/rs11030237, 2019.
Calò, F., Calcaterra, D., Iodice, A., Parise, M., and Ramondini, M.:
Assessing the activity of a large landslide in southern Italy by
ground-monitoring and SAR interferometric techniques,
Int. J. Remote Sens., 33, 3512–3530, https://doi.org/10.1080/01431161.2011.630331, 2012.
Chaabani, C., Abdelfattah, R., and Melgani, F.: Deep Learning Approach For
Post-Flood Soil Deformation Mapping Using Insar Data, 2020 Mediterranean and
Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), Tunis, Tunisia, 77–80, https://doi.org/10.1109/M2GARSS47143.2020.9105155, 2020.
Colesanti, C., Ferretti, A., Novali, F., Prati, C., and Rocca, F.: SAR
monitoring of progressive and seasonal ground deformation using the
permanent scatterers technique, IEEE T. Geosci. Remote, 41, 1685–1701, https://doi.org/10.1109/TGRS.2003.813278, 2003.
Côté, I. M., Darling, E. S., and Heard, S. B.: Scientists on
Twitter: Preaching to the choir or singing from the rooftops?, FACETS, 3,
682–694, https://doi.org/10.1139/facets-2018-0002, 2018.
Directorate Space, Security and Migration, European Commission Joint
Research Centre (EC JRC): Copernicus Emergency Management Service, https://emergency.copernicus.eu/,
last access: 17 June 2020.
Duffy, B. [@structuregeo]: “Watch a volcano breathe #Etna #volcano #insar @NASAJPL https://photojournal.jpl.nasa.gov/archive/PIA13201_Etna_INSAR.mov”, Twitter, https://twitter.com/structuregeo/status/1306752548129267713 (last access: 13 December 2022), posted: 01:31, 18 September 2020.
De Zan, F., Zonno, M., and López-Dekker, P.: Phase Inconsistencies and
Multiple Scattering in SAR Interferometry, IEEE T. Geosci.
Remote, 53, 6608–6616, https://doi.org/10.1109/TGRS.2015.2444431, 2015.
Dualeh, E. W., Ebmeier, S. K., Wright, T. J., Albino, F., Naismith, A.,
Biggs, J., Ordoñez, P. A., Boogher, R. M., and Roca, A.: Analyzing
Explosive Volcanic Deposits From Satellite-Based Radar Backscatter,
Volcán de Fuego, 2018, J. Geophys. Res.-Sol. Ea.,
126, e2021JB022250, https://doi.org/10.1029/2021JB022250, 2021.
Earle, P. S., Bowden, D., and Guy, M.: Twitter earthquake detection:
earthquake monitoring in a social world, Ann. Geophys.-Italy, 54, 708–715,
2011.
Ebmeier, S. K., Andrews, B. J., Araya, M. C., Arnold, D. W. D., Biggs, J.,
Cooper, C., Cottrell, E., Furtney, M., Hickey, J., Jay, J., Lloyd, R.,
Parker, A. L., Pritchard, M. E., Robertson, E., Venzke, E., and Williamson,
J. L.: Synthesis of global satellite observations of magmatic and volcanic
deformation: implications for volcano monitoring & the lateral extent of
magmatic domains, Journal of Applied Volcanology, 7, 2,
https://doi.org/10.1186/s13617-018-0071-3, 2018.
Elliott, J. R., Walters, R. J., and Wright, T. J.: The role of space-based
observation in understanding and responding to active tectonics and
earthquakes, Nat. Commun., 7, 13844, https://doi.org/10.1038/ncomms13844, 2016.
Elliott, J. R.: Earth Observation for the Assessment of Earthquake Hazard,
Risk and Disaster Management, Surv. Geophys., 41, 1323–1354,
https://doi.org/10.1007/s10712-020-09606-4, 2020.
Fielding, E. J. [@EricFielding]: “#Haitiearthquake2021 surface deformation measured by InSAR and SAR pixel offset tracking on JAXA ALOS2 images. Analyzed at NASA/JPL. Fault slip extends from epicenter about 60 km to west. Radar line-of-sight to satellite up and west. Both measure same direction in different ways.”, Twitter, https://twitter.com/EricFielding/status/1428629519947034624 (last access: 13 December 2022), posted: 09:06, 20 August 2021.
Gaddes, M. E., Hooper, A., Bagnardi, M., Inman, H., and Albino, F.: Blind
Signal Separation Methods for InSAR: The Potential to Automatically Detect
and Monitor Signals of Volcanic Deformation, J. Geophys.
Res.-Sol. Ea., 123, 10226–10251, https://doi.org/10.1029/2018jb016210, 2018.
Galve, J. P., Pérez-Peña, J. V., Azañón, J. M., Closson, D.,
Caló, F., Reyes-Carmona, C., Jabaloy, A., Ruano, P., Mateos, R. M.,
Notti, D., Herrera, G., Béjar-Pizarro, M., Monserrat, O., and Bally, P.:
Evaluation of the SBAS InSAR Service of the European Space Agency's
Geohazard Exploitation Platform (GEP), Remote Sens.-Basel, 9, 1291,
https://doi.org/10.3390/rs9121291, 2017.
Ganas, A., Kourkouli, P., Briole, P., Moshou, A., Elias, P., and
Parcharidis, I.: Coseismic displacements from moderate-size earthquakes
mapped by Sentinel-1 differential interferometry: the case of February 2017
Gulpinar earthquake sequence (Biga Peninsula, Turkey), Remote Sens.-Basel, 10,
1089, https://doi.org/10.3390/rs10071089, 2018.
Gens, R. and Van Genderen, J. L.: Review Article SAR
interferometry–issues, techniques, applications,
Int. J. Remote Sens., 17, 1803–1835, https://doi.org/10.1080/01431169608948741, 1996.
Geudtner, D., Torres, R., Snoeij, P., Davidson, M., and Rommen, B.:
Sentinel-1 System capabilities and applications, 2014 IEEE Geoscience and
Remote Sensing Symposium, 1457–1460, 2014.
Gill, J. C., Taylor, F. E., Duncan, M. J., Mohadjer, S., Budimir, M., Mdala, H., and Bukachi, V.: Invited perspectives: Building sustainable and resilient communities – recommended actions for natural hazard scientists, Nat. Hazards Earth Syst. Sci., 21, 187–202, https://doi.org/10.5194/nhess-21-187-2021, 2021.
Global Volcanism Program: Volcanoes of the World, (v. 5.0.0; 1
November 2022), edited by: Venzke, E., Smithsonian Institution [data set],
https://doi.org/10.5479/si.GVP.VOTW5-2022.5.0, 2022.
Gold, N.: Using Twitter Data in Research: Guidance for Researchers and
Ethics Reviewers, https://www.ucl.ac.uk/data-protection/sites/data-protection/files/using-twitter-research-v1.0.pdf (last access: 30 May 2023), 2020.
Goldstein, R. M., Engelhardt, H., Kamb, B., and Frolich, R. M.: Satellite
Radar Interferometry for Monitoring Ice Sheet Motion: Application to an
Antarctic Ice Stream, Science, 262, 1525–1530,
https://doi.org/10.1126/science.262.5139.1525, 1993.
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., and Moore,
R.: Google Earth Engine: Planetary-scale geospatial analysis for everyone,
Remote Sens. Environ., 202, 18–27,
https://doi.org/10.1016/j.rse.2017.06.031, 2017.
Hagberg, J. O. and Ulander, L. M. H.: On the optimization of
interferometric SAR for topographic mapping, IEEE T. Geosci.
Remote, 31, 303–306, https://doi.org/10.1109/36.210472, 1993.
Henderson, S. T. and Pritchard, M. E.: Decadal volcanic deformation in the
Central Andes Volcanic Zone revealed by InSAR time series, Geochem. Geophy. Geosy., 14, 1358–1374,
https://doi.org/10.1002/ggge.20074, 2013.
Hicks, A. and Barclay, J.: Citizen centric risk communication,
Geoscientist, https://www.geolsoc.org.uk/Geoscientist/Archive/August-2018/Hicks-Volcanic-comms (last access: 30 May 2023), 2018.
Hicks, S. P.: Geoscience analysis on Twitter, Nat. Geosci., 12,
585–586, https://doi.org/10.1038/s41561-019-0425-4, 2019.
Hooper, A., Zebker, H., Segall, P., and Kampes, B.: A new method for
measuring deformation on volcanoes and other natural terrains using InSAR
persistent scatterers, Geophys. Res. Lett., 31, L23611, https://doi.org/10.1029/2004gl021737, 2004.
Jónsdóttir, K. [@krjonsdottir] (2021): “Latest InSAR also suggests a dike intrusion in the same location as this spring (24feb-19mar). Seismicity is still high and today a M4.7 at 15:03 occurred east of the crater (Stóri Hrútur). A new eruption has not started yet... Volcano monitoring does not ask if it is holidays”, Twitter, https://twitter.com/krjonsdottir/status/1474413422855008257 (last access: 13 December 2022), posted: 04:15, 24 December 2021.
Jónsson, S. [@Sjonni_KAUST]: “Successive InSAR data of the Iceland crisis. The first includes the M5.7 earthquake, a few other offsets, and clear dike deformation, the second indicates dike migration to the southwest and shows the surface rupture of the M5 event last night (S1, desc., by Adriano) @ESA_EO”, Twitter, https://twitter.com/Sjonni_KAUST/status/1368589190850560000 (last access: 13 December 2022), posted: 03:47, 7 March 2021.
Joyce, K. E., Belliss, S. E., Samsonov, S. V., McNeill, S. J., and Glassey,
P. J.: A review of the status of satellite remote sensing and image
processing techniques for mapping natural hazards and disasters, Prog.
Phys. Geogr., 33, 183–207, https://doi.org/10.1177/0309133309339563, 2009.
Kääb, A., Altena, B., and Mascaro, J.: Coseismic displacements of the 14 November 2016 Mw 7.8 Kaikoura, New Zealand, earthquake using the Planet optical cubesat constellation, Nat. Hazards Earth Syst. Sci., 17, 627–639, https://doi.org/10.5194/nhess-17-627-2017, 2017.
Kearney, M. W.: rtweet: Collecting and analyzing Twitter data,
Journal of Open Source Software, 4, 1829, https://doi.org/10.21105/joss.01829, 2019.
Kennedy, J. H., Anderson, R. A., Biessel, R., Chase, T., Ellis, O.,
Fairbanks, K., Fleming, C., Horn, W. B., Johnston, A., and Kristenson, H.:
Skip the Processing: On Demand Analysis-Ready InSAR from ASF, AGU Fall
Meeting, New Orleans, LA, G45B-0395, 2021.
Kirschbaum, D., Malet, J.-P., and Roessner, S.: Fostering the uptake of
satellite Earth Observation data for landslide hazard understanding: the
CEOS Landslide Pilot, 19th EGU General Assembly, EGU2017, 23–28 April 2017, Vienna, Austria, https://ui.adsabs.harvard.edu/abs/2017EGUGA..19.8353K/abstract (last access: 30 May 2023), 2017.
Kirschbaum, D., Watson, C. S., Rounce, D. R., Shugar, D. H., Kargel, J. S.,
Haritashya, U. K., Amatya, P., Shean, D., Anderson, E. R., and Jo, M.: The
State of Remote Sensing Capabilities of Cascading Hazards Over High Mountain
Asia, Front. Earth Sci., 7, https://doi.org/10.3389/feart.2019.00197, 2019.
Lacassin, R., Devès, M., Hicks, S. P., Ampuero, J.-P., Bossu, R., Bruhat, L., Daryono, Wibisono, D. F., Fallou, L., Fielding, E. J., Gabriel, A.-A., Gurney, J., Krippner, J., Lomax, A., Sudibyo, Muh. M., Pamumpuni, A., Patton, J. R., Robinson, H., Tingay, M., and Valkaniotis, S.: Rapid collaborative knowledge building via Twitter after significant geohazard events, Geosci. Commun., 3, 129–146, https://doi.org/10.5194/gc-3-129-2020, 2020.
Lauknes, T. R., Piyush Shanker, A., Dehls, J. F., Zebker, H. A., Henderson,
I. H. C., and Larsen, Y.: Detailed rockslide mapping in northern Norway with
small baseline and persistent scatterer interferometric SAR time series
methods, Remote Sens. Environ., 114, 2097–2109,
https://doi.org/10.1016/j.rse.2010.04.015, 2010.
Lazecký, M., Spaans, K., González, P. J., Maghsoudi, Y., Morishita,
Y., Albino, F., Elliott, J., Greenall, N., Hatton, E. L., Hooper, A., Juncu,
D., McDougall, A., Walters, R. J., Watson, C., Weiss, J. R., and Wright, T.:
LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and
Volcanic Activity, Remote. Sens., 12, 2430,
https://doi.org/10.3390/rs12152430, 2020.
Lloyd, R., Biggs, J., Birhanu, Y., Wilks, M., Gottsmann, J., Kendall, J.-M.,
Ayele, A., Lewi, E., and Eysteinsson, H.: Sustained Uplift at a Continental
Rift Caldera, J. Geophys. Res.-Sol. Ea., 123, 5209–5226,
https://doi.org/10.1029/2018jb015711, 2018.
Maghsoudi, Y., Hooper, A. J., Wright, T. J., Lazecky, M., and Ansari, H.:
Characterizing and correcting phase biases in short-term, multilooked
interferograms, Remote Sens. Environ., 275, 113022,
https://doi.org/10.1016/j.rse.2022.113022, 2022.
Massonnet, D., Rossi, M., Carmona, C., Adragna, F., Peltzer, G., Feigl, K.,
and Rabaute, T.: The displacement field of the Landers earthquake mapped by
radar interferometry, Nature, 364, 138–142, https://doi.org/10.1038/364138a0, 1993.
Mendoza, M., Poblete, B., and Castillo, C.: Twitter under crisis: Can we
trust what we RT?, Proceedings of the first workshop on social media
analytics, Washington, DC, 25 July 2010, 71–79, https://doi.org/10.1145/1964858.1964869, 2010.
Meyer, F. J. [@SARevangelist]: “#SAR and #InSAR Twitter Help us keep our curated list of awesome SAR software, libraries, and resources updated! Current list at: https://github.com/RadarCODE/awesome-sar Got new, awesome open-source SAR resources? Add them to the current list! #OneStopSARShop #GoldenAgeOfSAR”, Twitter, https://twitter.com/SARevangelist/status/1426704903108403201 (last access: 13 December 2022), posted: 01:38, 15 August 2021.
Meyer, F. J., Arko, S. A., Hogenson, K., McAlpin, D. B., and Whitley, M. A.:
A Cloud-Based System for Automatic Hazard Monitoring from Sentinel-1 SAR
Data, AGU Fall Meeting Abstracts, New Orleans, Louisiana, 11–15 December 2017, G33A-03, 2017.
Moore, C., Wright, T., Hooper, A., and Biggs, J.: The 2017 Eruption of Erta
'Ale Volcano, Ethiopia: Insights Into the Shallow Axial Plumbing System of
an Incipient Mid-Ocean Ridge, Geochem. Geophy. Geosy., 20,
5727–5743, https://doi.org/10.1029/2019gc008692, 2019.
Morishita, Y.: Nationwide urban ground deformation monitoring in Japan using
Sentinel-1 LiCSAR products and LiCSBAS, Prog. Earth Planet.
Sci., 8, 1–23, 2021.
Morishita, Y., Lazecky, M., Wright, T. J., Weiss, J. R., Elliott, J. R., and
Hooper, A.: LiCSBAS: An Open-Source InSAR Time Series Analysis Package
Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor,
Remote Sens.-Basel, 12, 424, https://doi.org/10.3390/rs12030424, 2020.
Murthy, D.: Twitter: Microphone for the masses?, Media,
Culture and Society, 33, 779–789, https://doi.org/10.1177/0163443711404744, 2011.
Newhall, C.: Professional conduct of scientists during volcanic crises,
B. Volcanol., 60, 323–334, 1999.
Novellino, A., Cesarano, M., Cappelletti, P., Di Martire, D., Di Napoli, M.,
Ramondini, M., Sowter, A., and Calcaterra, D.: Slow-moving landslide risk
assessment combining Machine Learning and InSAR techniques, CATENA, 203,
105317, https://doi.org/10.1016/j.catena.2021.105317, 2021.
Oschatz, C., Stier, S., and Maier, J.: Twitter in the News: An Analysis of
Embedded Tweets in Political News Coverage, Digital Journalism, 10, 1–20,
https://doi.org/10.1080/21670811.2021.1912624, 2021.
Pallister, J., Papale, P., Eichelberger, J., Newhall, C., Mandeville, C.,
Nakada, S., Marzocchi, W., Loughlin, S., Jolly, G., Ewert, J., and Selva,
J.: Volcano observatory best practices (VOBP) workshops – a summary of
findings and best-practice recommendations, J. Appl. Volcanol.,
8, 2, https://doi.org/10.1186/s13617-019-0082-8, 2019.
Parsons, T.: The Weight of Cities: Urbanization Effects on Earth's
Subsurface, AGU Advances, 2, e2020AV000277,
https://doi.org/10.1029/2020AV000277, 2021.
Petrovic, S., Osborne, M., McCreadie, R., Macdonald, C., Ounis, I., and
Shrimpton, L.: Can twitter replace newswire for breaking news?, Proceedings
of the international AAAI conference on web and social media, Cambridge, Massachusetts, USA, 8–11 July 2013, 713–716, https://doi.org/10.1609/icwsm.v7i1.14450, 2013.
Pettorelli, N., Vik, J. O., Mysterud, A., Gaillard, J.-M., Tucker, C. J.,
and Stenseth, N. C.: Using the satellite-derived NDVI to assess ecological
responses to environmental change, Trends Ecol. Evol., 20,
503–510, https://doi.org/10.1016/j.tree.2005.05.011, 2005.
Pilger, C., Gaebler, P., Hupe, P., Kalia, A. C., Schneider, F. M.,
Steinberg, A., Sudhaus, H., and Ceranna, L.: Yield estimation of the 2020
Beirut explosion using open access waveform and remote sensing data,
Sci. Rep.-UK, 11, 14144, https://doi.org/10.1038/s41598-021-93690-y, 2021.
Pinel, V., Hooper, A., De la Cruz-Reyna, S., Reyes-Davila, G., Doin, M. P.,
and Bascou, P.: The challenging retrieval of the displacement field from
InSAR data for andesitic stratovolcanoes: Case study of Popocatepetl and
Colima Volcano, Mexico, J. Volcanol. Geoth. Res., 200,
49–61, https://doi.org/10.1016/j.jvolgeores.2010.12.002, 2011.
Piter, A., Vassileva, M., Haghighi, M. H., and Motagh, M.: Exploring
Cloud-Based Platforms for Rapid Insar Time Series Analysis, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 171–176, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-171-2021, 2021.
Poblet, M., García-Cuesta, E., and Casanovas, P.: Crowdsourcing Tools
for Disaster Management: A Review of Platforms and Methods, in: AI
Approaches to the Complexity of Legal Systems, Lecture Notes in Computer Science, vol. 8929, Springer, Berlin, Heidelberg, 261–274, https://doi.org/10.1007/978-3-662-45960-7_19,
2014.
Pritchard, M. E., Biggs, J., Wauthier, C., Sansosti, E., Arnold, D. W. D.,
Delgado, F., Ebmeier, S. K., Henderson, S. T., Stephens, K., Cooper, C.,
Wnuk, K., Amelung, F., Aguilar, V., Mothes, P., Macedo, O., Lara, L. E.,
Poland, M. P., and Zoffoli, S.: Towards coordinated regional multi-satellite
InSAR volcano observations: results from the Latin America pilot project,
Jo. Appl. Volcanol., 7, 5, https://doi.org/10.1186/s13617-018-0074-0, 2018.
R Core Team: R: A language and environment for statistical computing. R
Foundation for Statistical Computing, Vienna, Austria, https://www.R-project.org/ (last access: 30 May 2023), 2021.
Rigby, R., Burns, H., Watson, C. S., Lazecky, M., Ebmeier, S., Morishita,
Y., and Wright, T.: COMET_VolcDB: COMET Volcanic and Magmatic
Deformation Portal (2021 beta release) (1.1-beta), Zenodo,
https://doi.org/10.5281/zenodo.4545877, 2021.
Rosen, P. A., Hensley, S., Joughin, I. R., Li, F. K., Madsen, S. N.,
Rodriguez, E., and Goldstein, R. M.: Synthetic aperture radar
interferometry, P. IEEE, 88, 333–382, https://doi.org/10.1109/5.838084,
2000.
Rott, H. and Nagler, T.: The contribution of radar interferometry to the
assessment of landslide hazards, Adv. Space Res., 37, 710–719,
https://doi.org/10.1016/j.asr.2005.06.059, 2006.
Ruan, T., Kong, Q., McBride, S. K., Sethjiwala, A., and Lv, Q.:
Cross-platform analysis of public responses to the 2019 Ridgecrest
earthquake sequence on Twitter and Reddit, Sci. Rep.-UK, 12, 1634,
https://doi.org/10.1038/s41598-022-05359-9, 2022.
Shugar, D. H., Jacquemart, M., Shean, D., Bhushan, S., Upadhyay, K., Sattar,
A., Schwanghart, W., McBride, S., de Vries, M. V. W., Mergili, M., Emmer,
A., Deschamps-Berger, C., McDonnell, M., Bhambri, R., Allen, S., Berthier,
E., Carrivick, J. L., Clague, J. J., Dokukin, M., Dunning, S. A., Frey, H.,
Gascoin, S., Haritashya, U. K., Huggel, C., Kääb, A., Kargel, J. S.,
Kavanaugh, J. L., Lacroix, P., Petley, D., Rupper, S., Azam, M. F., Cook, S.
J., Dimri, A. P., Eriksson, M., Farinotti, D., Fiddes, J., Gnyawali, K. R.,
Harrison, S., Jha, M., Koppes, M., Kumar, A., Leinss, S., Majeed, U., Mal,
S., Muhuri, A., Noetzli, J., Paul, F., Rashid, I., Sain, K., Steiner, J.,
Ugalde, F., Watson, C. S., and Westoby, M. J.: A massive rock and ice
avalanche caused the 2021 disaster at Chamoli, Indian Himalaya, Science,
373, eabh4455, https://doi.org/10.1126/science.abh4455, 2021.
Sheetz, M. [@thesheetztweetz]: “NASA announces two new missions to Venus: 1 – DAVINCI+ (Deep Atmosphere Venus Investigation of Noble gases, Chemistry, and Imaging Plus) 2 – VERITAS (Venus Emissivity, Radio Science, InSAR, Topography, and Spectroscopy)”, Twitter,
https://twitter.com/thesheetztweetz/status/1400174073540493316 (last access: 13 December 2022), posted: 08:34, 2 June 2021.
Simons, M. and Rosen, P. A.: 3.12 – Interferometric Synthetic Aperture
Radar Geodesy, in: Treatise on Geophysics, edited by: Schubert, G.,
Elsevier, Amsterdam, 391–446, https://doi.org/10.1016/B978-044452748-6.00059-6, 2007.
Sinnenberg, L., Buttenheim, A. M., Padrez, K., Mancheno, C., Ungar, L., and
Merchant, R. M.: Twitter as a Tool for Health Research: A Systematic Review,
Am. J. Public Health, 107, e1–e8, https://doi.org/10.2105/AJPH.2016.303512,
2016.
Smets, B. [@smetsbenoit]: “First Sentinel-1 interferogram over Nyiragongo and the Virunga region. Amazing deformation signal! #Nyiragongo #OVG #GVO #Eruption #MasTer #InSAR”, Twitter, https://twitter.com/smetsbenoit/status/1397296480340353027 (last access: 13 December 2022), posted: 10:00, 25 May 2021.
Solano, D. [@Mr_InSAR]: “El #hundimiento del terreno en #CDMX se debe a la sobreexplotación del agua subterránea. Lo mismo ocurre en muchas otras ciudaddes del país) #Guanajuato, #Guadalajara, #Toluca, #Puebla, etc.). Abro hilo”, Twitter, https://twitter.com/Mr_InSAR/status/1425524572070170628 (last access: 13 December 2022),
posted: 19:28, 11 August 2021.
Stevens, V. L. and Avouac, J.-P.: On the relationship between strain rate
and seismicity in the India–Asia collision zone: implications for
probabilistic seismic hazard, Geophys. J. Int., 226,
220–245, https://doi.org/10.1093/gji/ggab098, 2021.
Tessema, T. T. [@TTemtime]: “Hello, my name is Tesfaye Temtime. I recently finished my PhD in Geophysics from the University of Bristol, UK. I am an enthusiast of detecting surface changes using satellite geodesy (i.e. InSAR and GNSS) and modelling”, Twitter, https://twitter.com/TTemtime/status/1435162379462062081 (last access: 13 December 2022),
posted: 09:45, 7 September 2021.
Tronin, A. A.: Satellite Remote Sensing in Seismology. A Review, Remote Sens.-Basel, 2, 124–150, 2010.
Tsironi, V., Ganas, A., Karamitros, I., Efstathiou, E., Koukouvelas, I., and
Sokos, E.: Kinematics of Active Landslides in Achaia (Peloponnese, Greece)
through InSAR Time Series Analysis and Relation to Rainfall Patterns, Remote Sens.-Basel, 14, 844, https://doi.org/10.3390/rs14040844, 2022.
Turner, W., Rondinini, C., Pettorelli, N., Mora, B., Leidner, A. K.,
Szantoi, Z., Buchanan, G., Dech, S., Dwyer, J., Herold, M., Koh, L. P.,
Leimgruber, P., Taubenboeck, H., Wegmann, M., Wikelski, M., and Woodcock,
C.: Free and open-access satellite data are key to biodiversity
conservation, Biol. Conserv., 182, 173–176,
https://doi.org/10.1016/j.biocon.2014.11.048, 2015.
UN: The Sustainable Development Goals Report 2020, https://unstats.un.org/sdgs/report/2020/The-Sustainable-Development-Goals-Report-2020.pdf (last access: 2 November 2022),
2020.
UNISDR: Sendai framework for disaster risk reduction 2015–2030, https://www.undrr.org/publication/sendai-framework-disaster-risk-reduction-2015-2030(last access: 30 May 2023), 2015.
Van Noorden, R.: Online collaboration: Scientists and the social network,
Nature News, 512, 126–129, 2014.
Vieweg, S., Hughes, A. L., Starbird, K., and Palen, L.: Microblogging during
two natural hazards events: what twitter may contribute to situational
awareness, Proceedings of the SIGCHI conference on human factors in
computing systems, Atlanta, Georgia, USA, 10–15 April 2010, 1079–1088, https://doi.org/10.1145/1753326.1753486, 2010.
Voigt, S., Kemper, T., Riedlinger, T., Kiefl, R., Scholte, K., and Mehl, H.:
Satellite Image Analysis for Disaster and Crisis-Management Support, IEEE
T. Geosci. Remote, 45, 1520–1528,
https://doi.org/10.1109/TGRS.2007.895830, 2007.
Walter, T. R. [@VOLCAPSE]: “I’d like sharing one of the most beautiful #InSAR pattern one can find at volcanoes. Thats from Wolf, Galápagos, showing intense deformation associated with the ongoing fissure eruption, captured by desc. Sentinel-1 in 5Jan22-17Jan22. Each colour cycle is approx 3 cm of motion.”, Twitter, https://twitter.com/VOLCAPSE/status/1484616658345996292 (last access: 13 December 2022), posted: 07:59, 21 January 2022.
Wang, J., Pierce, M., Ma, Y., Fox, G., Donnellan, A., Parker, J., and
Glasscoe, M.: Using Service-Based GIS to Support Earthquake Research and
Disaster Response, Comput. Sci. Eng., 14, 21–30,
https://doi.org/10.1109/MCSE.2012.61, 2012.
Weiss, J. R., Walters, R. J., Morishita, Y., Wright, T. J., Lazecky, M.,
Wang, H., Hussain, E., Hooper, A. J., Elliott, J. R., Rollins, C., Yu, C.,
Gonzaley, P. J., Spaans, K., Li, Z., and Parsons, B.: High-resolution
surface velocities and strain for Anatolia from Sentinel-1 InSAR and GNSS
data, Geophys. Res. Lett., 47, e2020GL087376,
https://doi.org/10.1029/2020GL087376, 2020.
West, S. E., Bowyer, C. J., Apondo, W., Büker, P., Cinderby, S., Gray,
C. M., Hahn, M., Lambe, F., Loh, M., Medcalf, A., Muhoza, C., Muindi, K.,
Njoora, T. K., Twigg, M. M., Waelde, C., Walnycki, A., Wainwright, M.,
Wendler, J., Wilson, M., and Price, H. D.: Using a co-created
transdisciplinary approach to explore the complexity of air pollution in
informal settlements, Humanities and Social Sciences Communications, 8, 285,
https://doi.org/10.1057/s41599-021-00969-6, 2021.
Wickham, H.: stringr: simple, consistent wrappers for common string
operations, R package version 1.4.0,
https://CRAN.R-project.org/package=stringr (last access: 30 May 2023), 2017.
Wright, T. J., Parsons, B. E., and Lu, Z.: Toward mapping surface
deformation in three dimensions using InSAR, Geophys. Res. Lett., 31,
L01607, https://doi.org/10.1029/2003gl018827, 2004.
Yu, C., Li, Z., Penna, N. T., and Crippa, P.: Generic Atmospheric Correction
Model for Interferometric Synthetic Aperture Radar Observations, J.
Geophys. Res.-Sol. Ea., 123, 9202–9222,
https://doi.org/10.1029/2017JB015305, 2018.
Zawacki, E. E., Bohon, W., Johnson, S., and Charlevoix, D. J.: Exploring TikTok as a promising platform for geoscience communication, Geosci. Commun., 5, 363–380, https://doi.org/10.5194/gc-5-363-2022, 2022.
Zhou, X., Chang, N.-B., and Li, S.: Applications of SAR Interferometry in
Earth and Environmental Science Research, Sensors, 9, 1876–1912, 2009.
Short summary
We evaluate the communication and open data processing of satellite Interferometric Synthetic Aperture Radar (InSAR) data, which measures ground deformation. We discuss the unique interpretation challenges and the use of automatic data processing and web tools to broaden accessibility. We link these tools with an analysis of InSAR communication through Twitter in which applications to earthquakes and volcanoes prevailed. We discuss future integration with disaster risk-reduction strategies.
We evaluate the communication and open data processing of satellite Interferometric Synthetic...
Altmetrics
Final-revised paper
Preprint