Articles | Volume 22, issue 9
https://doi.org/10.5194/nhess-22-2829-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-2829-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Aug 2022
Research article |
| 31 Aug 2022
| 31 Aug 2022
Insights into the vulnerability of vegetation to tephra fallouts from interpretable machine learning and big Earth observation data
Sébastien Biass
CORRESPONDING AUTHOR
Earth Observatory of Singapore, Nanyang Technological University, Singapore
Department of Earth Sciences, University of Geneva, Geneva, Switzerland
Susanna F. Jenkins
Earth Observatory of Singapore, Nanyang Technological University, Singapore
Asian School of the Environment, Nanyang Technological University, Singapore
William H. Aeberhard
Swiss Data Science Center, ETH Zürich, Zurich, Switzerland
Pierre Delmelle
Environmental Sciences, Earth and Life Institute, UCLouvain, Louvain-la-Neuve, Belgium
Thomas Wilson
School of Earth and the Environment, University of Canterbury, Christchurch, New Zealand
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We explore the tsunamigenic mechanisms and the hydrodynamic characteristics of the 2022 Hunga Tonga–Hunga Ha'apai volcanic tsunami event. Through extensive analysis of tsunami waveforms, we identify four distinct tsunami components from different physical mechanisms. The long-lasting oscillation of the tsunami event in the Pacific Ocean was mainly associated with the interplay of the ocean waves left by atmospheric waves with local bathymetry.
Andrea Bevilacqua, Alvaro Aravena, Willy Aspinall, Antonio Costa, Sue Mahony, Augusto Neri, Stephen Sparks, and Brittain Hill
Nat. Hazards Earth Syst. Sci., 22, 3329–3348, https://doi.org/10.5194/nhess-22-3329-2022, https://doi.org/10.5194/nhess-22-3329-2022, 2022
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We evaluate through first-order kinetic energy models, the minimum volume and mass of a pyroclastic density current generated at the Aso caldera that might affect any of five distal infrastructure sites. These target sites are all located 115–145 km from the caldera, but in well-separated directions. Our constraints of volume and mass are then compared with the scale of Aso-4, the largest caldera-forming eruption of Aso.
Maud Devès, Robin Lacassin, Hugues Pécout, and Geoffrey Robert
Nat. Hazards Earth Syst. Sci., 22, 2001–2029, https://doi.org/10.5194/nhess-22-2001-2022, https://doi.org/10.5194/nhess-22-2001-2022, 2022
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This paper focuses on the issue of population information about natural hazards and disaster risk. It builds on the analysis of the unique seismo-volcanic crisis on the island of Mayotte, France, that started in May 2018 and lasted several years. We document the gradual response of the actors in charge of scientific monitoring and risk management. We then make recommendations for improving risk communication strategies in Mayotte and also in contexts where comparable geo-crises may happen.
Susanna F. Jenkins, Sébastien Biass, George T. Williams, Josh L. Hayes, Eleanor Tennant, Qingyuan Yang, Vanesa Burgos, Elinor S. Meredith, Geoffrey A. Lerner, Magfira Syarifuddin, and Andrea Verolino
Nat. Hazards Earth Syst. Sci., 22, 1233–1265, https://doi.org/10.5194/nhess-22-1233-2022, https://doi.org/10.5194/nhess-22-1233-2022, 2022
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There is a need for large-scale comparable assessments of volcanic threat, but previous approaches assume circular hazard to exposed population. Our approach quantifies and ranks five exposure types to four volcanic hazards for 40 volcanoes in Southeast Asia. Java has the highest median exposure, with Merapi consistently ranking as the highest-threat volcano. This study and the tools developed provide a road map with the possibility to extend them to other regions and/or towards impact and loss.
Costanza Bonadonna, Ali Asgary, Franco Romerio, Tais Zulemyan, Corine Frischknecht, Chiara Cristiani, Mauro Rosi, Chris E. Gregg, Sebastien Biass, Marco Pistolesi, Scira Menoni, and Antonio Ricciardi
Nat. Hazards Earth Syst. Sci., 22, 1083–1108, https://doi.org/10.5194/nhess-22-1083-2022, https://doi.org/10.5194/nhess-22-1083-2022, 2022
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Evacuation planning and management represent a key aspect of volcanic crises because they can increase people's protection as well as minimize the potential impacts on the economy, properties and infrastructure of the affected area. We present a simulation tool that assesses the effectiveness of different evacuation scenarios as well as a model to assess the economic impact of evacuation as a function of evacuation duration and starting period using the island of Vulcano (Italy) as a case study.
Luca Bugliaro, Dennis Piontek, Stephan Kox, Marius Schmidl, Bernhard Mayer, Richard Müller, Margarita Vázquez-Navarro, Daniel M. Peters, Roy G. Grainger, Josef Gasteiger, and Jayanta Kar
Nat. Hazards Earth Syst. Sci., 22, 1029–1054, https://doi.org/10.5194/nhess-22-1029-2022, https://doi.org/10.5194/nhess-22-1029-2022, 2022
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The monitoring of ash dispersion in the atmosphere is an important task for satellite remote sensing since ash represents a threat to air traffic. We present an AI-based method that retrieves the spatial extension and properties of volcanic ash clouds with high temporal resolution during day and night by means of geostationary satellite measurements. This algorithm, trained on realistic observations simulated with a radiative transfer model, runs operationally at the German Weather Service.
Manuel Titos, Beatriz Martínez Montesinos, Sara Barsotti, Laura Sandri, Arnau Folch, Leonardo Mingari, Giovanni Macedonio, and Antonio Costa
Nat. Hazards Earth Syst. Sci., 22, 139–163, https://doi.org/10.5194/nhess-22-139-2022, https://doi.org/10.5194/nhess-22-139-2022, 2022
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This work addresses a quantitative hazard assessment on the possible impact on air traffic of a future ash-forming eruption on the island of Jan Mayen. Through high-performance computing resources, we numerically simulate the transport of ash clouds and ash concentration at different flight levels over an area covering Iceland and the UK using the FALL3D model. This approach allows us to derive a set of probability maps explaining the extent and persisting concentration conditions of ash clouds.
Warner Marzocchi, Jacopo Selva, and Thomas H. Jordan
Nat. Hazards Earth Syst. Sci., 21, 3509–3517, https://doi.org/10.5194/nhess-21-3509-2021, https://doi.org/10.5194/nhess-21-3509-2021, 2021
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Eruption forecasting and volcanic hazard analysis are pervaded by uncertainty of different kinds, such as the natural randomness, our lack of knowledge, and the so-called unknown unknowns. After discussing the limits of how classical probabilistic frameworks handle these uncertainties, we put forward a unified probabilistic framework which unambiguously defines uncertainty of different kinds, and it allows scientific validation of the hazard model against independent observations.
Stuart R. Mead, Jonathan Procter, and Gabor Kereszturi
Nat. Hazards Earth Syst. Sci., 21, 2447–2460, https://doi.org/10.5194/nhess-21-2447-2021, https://doi.org/10.5194/nhess-21-2447-2021, 2021
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Computer simulations can be used to estimate the flow path and inundation of volcanic mass flows; however, their accuracy needs to be appropriately measured and handled in order to determine hazard zones. This paper presents an approach to simulation accuracy assessment and hazard zonation with a volcanic debris avalanche as the benchmark. This method helped to identify and support key findings about errors in mass flow simulations, as well as potential end-use cases for hazard zonation.
Magdalena Oryaëlle Chevrel, Massimiliano Favalli, Nicolas Villeneuve, Andrew J. L. Harris, Alessandro Fornaciai, Nicole Richter, Allan Derrien, Patrice Boissier, Andrea Di Muro, and Aline Peltier
Nat. Hazards Earth Syst. Sci., 21, 2355–2377, https://doi.org/10.5194/nhess-21-2355-2021, https://doi.org/10.5194/nhess-21-2355-2021, 2021
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At Piton de la Fournaise, eruptions are typically fissure-fed and form extensive lava flow fields. Most historical events have occurred inside an uninhabited caldera, but rarely has lava flowed where population and infrastructure might be at risk. We present an up-to-date lava flow hazard map to visualize the probability of inundation by a lava flow per unit area that is an essential tool for hazard mitigation and guiding crises response management.
Andrea Bevilacqua, Alvaro Aravena, Augusto Neri, Eduardo Gutiérrez, Demetrio Escobar, Melida Schliz, Alessandro Aiuppa, and Raffaello Cioni
Nat. Hazards Earth Syst. Sci., 21, 1639–1665, https://doi.org/10.5194/nhess-21-1639-2021, https://doi.org/10.5194/nhess-21-1639-2021, 2021
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We present novel probability maps for the opening position of new vents in the San Salvador (El Salvador) and Nejapa-Chiltepe (Nicaragua) volcanic complexes. In particular, we present thematic maps, i.e., we consider different hazardous phenomena separately. To illustrate the significant effects of considering the expected eruption style in the construction of vent opening maps, we focus on the analysis of small-scale pyroclastic density currents using an approach based on numerical modeling.
Joana Medeiros, Rita Carmo, Adriano Pimentel, José Cabral Vieira, and Gabriela Queiroz
Nat. Hazards Earth Syst. Sci., 21, 417–437, https://doi.org/10.5194/nhess-21-417-2021, https://doi.org/10.5194/nhess-21-417-2021, 2021
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This study proposes a new approach to accessing the economic impact of explosive eruptions on the tourism sector on São Miguel Island, which uses the loss present value method to estimate the benefits generated by accommodation units over 30 years for different scenarios. The results reveal that in a near-total-destruction scenario, the economic loss is ~ EUR 145 million. This method can be adapted to other volcanic regions and also to other geological hazards and economic sectors.
Carola Leva, Georg Rümpker, and Ingo Wölbern
Nat. Hazards Earth Syst. Sci., 20, 3627–3638, https://doi.org/10.5194/nhess-20-3627-2020, https://doi.org/10.5194/nhess-20-3627-2020, 2020
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Often, an abrupt increase in shallow seismicity at volcanoes is seen as an indicator for magmatic intrusions into the upper crust. If no eruption occurs and the seismic activity stops, this is called a failed eruption. Here, we report a failed eruption of Brava, Cabo Verde, in August 2016. We remotely monitored the seismicity of Brava with a seismic array, operating from October 2015 to December 2016. Other episodes with increased seismicity around the island were also observed during the study.
Philipson Bani, Kristianto, Syegi Kunrat, and Devy Kamil Syahbana
Nat. Hazards Earth Syst. Sci., 20, 2119–2132, https://doi.org/10.5194/nhess-20-2119-2020, https://doi.org/10.5194/nhess-20-2119-2020, 2020
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Awu is a little-known volcano in Indonesia, and paradoxically it is one of the deadliest volcanoes on Earth. Some of its recurrent intense eruptions have induced world-scale impacts. The pulverization of a cooled lava dome and its conduit plug have allowed lake water injection into the conduit, leading to explosive water–magma interaction. The past vigorous eruptions were likely induced by these phenomena and it is a possible scenario for future events.
Giuseppe De Natale, Claudia Troise, and Renato Somma
Nat. Hazards Earth Syst. Sci., 20, 2037–2053, https://doi.org/10.5194/nhess-20-2037-2020, https://doi.org/10.5194/nhess-20-2037-2020, 2020
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This paper starts by showing the present low performance of eruption forecasting and then addresses the problem of effectively mitigating the highest volcanic risk in the world, represented by the Naples area (southern Italy). The problem is considered in a highly multidisciplinary way, taking into account the main economic, sociological and urban planning issues. Our study gives precise guidelines to assessing and managing volcanic risk in any densely urbanised area.
Marcus Hirtl, Delia Arnold, Rocio Baro, Hugues Brenot, Mauro Coltelli, Kurt Eschbacher, Helmut Hard-Stremayer, Florian Lipok, Christian Maurer, Dieter Meinhard, Lucia Mona, Marie D. Mulder, Nikolaos Papagiannopoulos, Michael Pernsteiner, Matthieu Plu, Lennart Robertson, Carl-Herbert Rokitansky, Barbara Scherllin-Pirscher, Klaus Sievers, Mikhail Sofiev, Wim Som de Cerff, Martin Steinheimer, Martin Stuefer, Nicolas Theys, Andreas Uppstu, Saskia Wagenaar, Roland Winkler, Gerhard Wotawa, Fritz Zobl, and Raimund Zopp
Nat. Hazards Earth Syst. Sci., 20, 1719–1739, https://doi.org/10.5194/nhess-20-1719-2020, https://doi.org/10.5194/nhess-20-1719-2020, 2020
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The paper summarizes the set-up and outcome of a volcanic-hazard demonstration exercise, with the goals of assessing and mitigating the impacts of volcanic ash clouds on civil and military aviation. Experts in the field simulated the sequence of procedures for an artificial eruption of the Etna volcano in Italy. The scope of the exercise ranged from the detection of the assumed event to the issuance of early warnings and optimized rerouting of flights.
Adrianus de Laat, Margarita Vazquez-Navarro, Nicolas Theys, and Piet Stammes
Nat. Hazards Earth Syst. Sci., 20, 1203–1217, https://doi.org/10.5194/nhess-20-1203-2020, https://doi.org/10.5194/nhess-20-1203-2020, 2020
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TROPOMI satellite measurements can accurately determine the height of thick volcanic ash clouds from a short-lived volcanic eruption of the Sinabung volcano in Indonesia. Standard geostationary satellite detection of volcanic ash was limited due to the presence of water and ice in the upper parts of volcanic ash clouds, a known issue. The TROPOMI satellite measurements do not suffer from this limitation, hence providing information where standard geostationary volcanic ash detection is limited.
Ayleen Gaete, Thomas R. Walter, Stefan Bredemeyer, Martin Zimmer, Christian Kujawa, Luis Franco Marin, Juan San Martin, and Claudia Bucarey Parra
Nat. Hazards Earth Syst. Sci., 20, 377–397, https://doi.org/10.5194/nhess-20-377-2020, https://doi.org/10.5194/nhess-20-377-2020, 2020
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Phreatic eruptions often occur without signs of enhanced volcanic unrest, avoiding detection and posing a threat to people in the vicinity. We analyzed data of the 2015 phreatic eruption of Lascar volcano, Chile, to retrospectively identify a precipitation event as the trigger mechanism and potential signs heralding this minor eruption. We showed that it is possible to detect the precursory activity of phreatic eruptions by deploying appropriate multiparametric monitoring.
Valérie Baumann, Costanza Bonadonna, Sabatino Cuomo, Mariagiovanna Moscariello, Sebastien Biass, Marco Pistolesi, and Alessandro Gattuso
Nat. Hazards Earth Syst. Sci., 19, 2421–2449, https://doi.org/10.5194/nhess-19-2421-2019, https://doi.org/10.5194/nhess-19-2421-2019, 2019
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Lahars are fast-moving mixtures of volcanic debris and water propagating downslope on volcanoes that can be very dangerous for people and property. Identification of lahar source areas and initiation mechanisms is crucial to comprehensive lahar hazard assessment. We present the first rain-triggered lahar susceptibility map for La Fossa volcano (Vulcano, Italy) combining probabilistic tephra modelling, slope-stability modelling, precipitation data, field characterizations, and geotechnical tests.
David M. Hyman, Andrea Bevilacqua, and Marcus I. Bursik
Nat. Hazards Earth Syst. Sci., 19, 1347–1363, https://doi.org/10.5194/nhess-19-1347-2019, https://doi.org/10.5194/nhess-19-1347-2019, 2019
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In this work, we present new methods for calculating the mean, standard deviation, median, and modal locations of the boundaries of volcanic hazards. These calculations are based on a new, mathematically rigorous definition of probabilistic hazard maps – a way to map the probabilities of inundation by a given hazard. We apply this analysis to several models of volcanic flows: simple models of viscous flows, complex models of a tabletop granular flow, and a complex model of a volcanic mud flow.
Sophie Mossoux, Matthieu Kervyn, and Frank Canters
Nat. Hazards Earth Syst. Sci., 19, 1251–1263, https://doi.org/10.5194/nhess-19-1251-2019, https://doi.org/10.5194/nhess-19-1251-2019, 2019
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Hazard maps provide information about the probability of given areas of being affected by hazards. So far studies combining hazard mapping with accessibility to services are few. In this study, we propose two new metrics defining the importance of each road segment in the accessibility of services, taking into account the probability of being affected by a hazard. These metrics may help support discussions about the development of new infrastructure or road segments and evacuation procedures.
Sara Osman, Eduardo Rossi, Costanza Bonadonna, Corine Frischknecht, Daniele Andronico, Raffaello Cioni, and Simona Scollo
Nat. Hazards Earth Syst. Sci., 19, 589–610, https://doi.org/10.5194/nhess-19-589-2019, https://doi.org/10.5194/nhess-19-589-2019, 2019
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The fallout of large clasts (> 5 cm) from the margins of eruptive plumes can damage local infrastructure and severely injure people close to the volcano. Even though this potential hazard has been observed at many volcanoes, it has often been overlooked. We present the first hazard and risk assessment of large-clast fallout from eruptive plumes and use Mt Etna (Italy) as a case study. The use of dedicated shelters in the case of an explosive event that occurs with no warning is also evaluated.
Herlan Darmawan, Thomas R. Walter, Valentin R. Troll, and Agus Budi-Santoso
Nat. Hazards Earth Syst. Sci., 18, 3267–3281, https://doi.org/10.5194/nhess-18-3267-2018, https://doi.org/10.5194/nhess-18-3267-2018, 2018
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At Merapi volcano, lava dome failure may generate pyroclastic flow and threaten populations who live on its flanks. Here, we assessed the potential hazard of the Merapi lava dome by using drone photogrammetry and numerical modeling. Results show a weak structural depression that is associated with high thermal imaging in the southern Merapi lava dome sector. The southern lava dome sector may be further destabilized by typical rainfall at the Merapi summit and produce pyroclastic flow up to 4 km.
Stefania Bartolini, Carmen López, Laura Becerril, Rosa Sobradelo, and Joan Martí
Nat. Hazards Earth Syst. Sci., 18, 1759–1770, https://doi.org/10.5194/nhess-18-1759-2018, https://doi.org/10.5194/nhess-18-1759-2018, 2018
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The most challenging aspect of forecasting volcanic eruptions is the correct identification and interpretation of precursors during the episodes that normally precede eruptive activity. We show an easy and useful approach to the understanding of the information recorded by the monitoring system and show how this information can be used to forecast an eruption and its potential hazards in real time. This methodology can be used to facilitate communication between scientists and decision-makers.
Elena Gerwing, Matthias Hort, Jörn Behrens, and Bärbel Langmann
Nat. Hazards Earth Syst. Sci., 18, 1517–1534, https://doi.org/10.5194/nhess-18-1517-2018, https://doi.org/10.5194/nhess-18-1517-2018, 2018
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This article describes the first volcanic emission advection model based on an adaptive mesh. The advection of volcanic emissions plays a crucial role in climate research, air traffic control and human wellbeing. In contrast to already existing volcanic emission dispersion models relying on a fixed grid, the application of an adaptive mesh enables us to simulate the advection of volcanic emissions with a high local resolution while minimizing computational cost.
Natalie J. Harvey, Nathan Huntley, Helen F. Dacre, Michael Goldstein, David Thomson, and Helen Webster
Nat. Hazards Earth Syst. Sci., 18, 41–63, https://doi.org/10.5194/nhess-18-41-2018, https://doi.org/10.5194/nhess-18-41-2018, 2018
Laura Becerril, Joan Martí, Stefania Bartolini, and Adelina Geyer
Nat. Hazards Earth Syst. Sci., 17, 1145–1157, https://doi.org/10.5194/nhess-17-1145-2017, https://doi.org/10.5194/nhess-17-1145-2017, 2017
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Lanzarote is an island (Canaries, Spain), that has hosted the largest and longest eruption in the archipelago (Timanfaya 1730–36). It brought severe economic losses and forced local people to migrate. We have developed the first comprehensive hazard assessment for the island. New eruptions will take place close to the last one and will be characterised by Strombolian activity, with ash emission towards the S, medium-length lava flows and hydromagmatic activity only close to the coastal areas.
Arnau Folch, Jordi Barcons, Tomofumi Kozono, and Antonio Costa
Nat. Hazards Earth Syst. Sci., 17, 861–879, https://doi.org/10.5194/nhess-17-861-2017, https://doi.org/10.5194/nhess-17-861-2017, 2017
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Atmospheric dispersal of a gas denser than air can threat the environment and surrounding communities. In complex terrains, microscale winds and local orographic features can have a strong influence on the gas cloud behavior, potentially leading to inaccurate model results if not captured by coarser-scale simulations. We introduce a methodology for microscale wind field characterization and validate it using, as a test case, the CO2 gas dispersal from 1986 Lake Nyos eruption.
Stuart R. Mead, Christina Magill, Vincent Lemiale, Jean-Claude Thouret, and Mahesh Prakash
Nat. Hazards Earth Syst. Sci., 17, 703–719, https://doi.org/10.5194/nhess-17-703-2017, https://doi.org/10.5194/nhess-17-703-2017, 2017
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Volcanic mudflows, called lahars, can cause large amounts of damage to buildings. In this research we developed a method to estimate lahar-induced building damage based on the height, speed and amount of volcanic material in the lahar. This method was applied to a small region in Arequipa, Peru, where computer models were used to estimate the number of buildings affected by lahars. The research found that building location and the size of the flow are most important in determining damage.
Werner T. Flueck
Nat. Hazards Earth Syst. Sci., 16, 2351–2355, https://doi.org/10.5194/nhess-16-2351-2016, https://doi.org/10.5194/nhess-16-2351-2016, 2016
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The 2011 Puyehue volcano eruption also caused persisting chemical impacts. By 2012, dental fluorosis in deer appeared, with bone fluoride increasing > 38-fold. Livestock also succumbed to fluorosis. As exposure of ruminants continued, bone fluoride reached 10 396 ppm, by 2014 caused skeletal fluorosis, reduced wool growth, and caused major losses among periparturient cattle. Peculiarities of digestive processes make ruminants susceptible to fluoride-containing ashes.
Ana Graciela Ulke, Marcela M. Torres Brizuela, Graciela B. Raga, and Darrel Baumgardner
Nat. Hazards Earth Syst. Sci., 16, 2159–2175, https://doi.org/10.5194/nhess-16-2159-2016, https://doi.org/10.5194/nhess-16-2159-2016, 2016
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The eruption in June 2011 of the Puyehue-Cordón Caulle Volcanic Complex (Chile) impacted air traffic around the Southern Hemisphere for several months. The ash deposited in vast areas of the Patagonian steppe was subjected to the strong wind conditions prevalent during the austral winter and spring. An ash resuspension event impacted Buenos Aires and resulted in the closure of airports in the area on 16 October 2011. Measurements of aerosol properties clearly indicate the enhanced concentrations
Nicole Richter, Massimiliano Favalli, Elske de Zeeuw-van Dalfsen, Alessandro Fornaciai, Rui Manuel da Silva Fernandes, Nemesio M. Pérez, Judith Levy, Sónia Silva Victória, and Thomas R. Walter
Nat. Hazards Earth Syst. Sci., 16, 1925–1951, https://doi.org/10.5194/nhess-16-1925-2016, https://doi.org/10.5194/nhess-16-1925-2016, 2016
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We provide a comprehensive lava flow hazard assessment for Fogo volcano, Cabo Verde before and after the 2014–2015 eruption based on probabilistic lava flow simulations. We find that the probability of lava flow invasion has not decreased at the location of two villages that were destroyed during this eruption, but have already started to be rebuilt. Our findings will be important for the next eruption of Fogo volcano and have implications for future lava flow crises elsewhere in the world.
Rosario Vázquez, Lucia Capra, and Velio Coviello
Nat. Hazards Earth Syst. Sci., 16, 1881–1895, https://doi.org/10.5194/nhess-16-1881-2016, https://doi.org/10.5194/nhess-16-1881-2016, 2016
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We present the morphological changes experienced by Montegrande ravine (Volcán de Colima, Mexico) during the 2013, 2014 and 2015 rainy seasons. A total of 11 lahars occurred during this period of time, and their erosion/deposition effects were quantified by means of cross sections and rainfall analysis. The major factors controlling the E/D rates are the channel-bed slope, the cross-section width, the flow depth and the joint effect of sediment availability and accumulated rainfall.
Alessandro Bonforte, Douglas Antonio Hernandez, Eduardo Gutiérrez, Louis Handal, Cecilia Polío, Salvatore Rapisarda, and Piergiorgio Scarlato
Nat. Hazards Earth Syst. Sci., 16, 1755–1769, https://doi.org/10.5194/nhess-16-1755-2016, https://doi.org/10.5194/nhess-16-1755-2016, 2016
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In this paper, we present the work done during an international cooperation between Italy and El Salvador, for implementing the multiparametric monitoring of the San Miguel volcano in El Salvador after its sudden unrest. In particular, the aim of this paper is to show and describe the installed geodetic network and to show, comment and interpret the very first detailed ground deformation data obtained on this volcano during an unrest period, useful for characterizing its unknown dynamics.
Lara Mani, Paul D. Cole, and Iain Stewart
Nat. Hazards Earth Syst. Sci., 16, 1673–1689, https://doi.org/10.5194/nhess-16-1673-2016, https://doi.org/10.5194/nhess-16-1673-2016, 2016
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Here, we aim to better understand the potential for using video games in volcanic hazard education with at-risk communities. A study using a bespoke-designed video game – St. Vincent's Volcano – was trialled on the Caribbean island of St. Vincent in 2015. Preliminary data analysis demonstrates 94 % of study participants had an improved knowledge of volcanic hazards after playing the game, leading us to conclude that video games could be a logical progression for education and outreach activities.
Alicia García, Servando De la Cruz-Reyna, José M. Marrero, and Ramón Ortiz
Nat. Hazards Earth Syst. Sci., 16, 1135–1144, https://doi.org/10.5194/nhess-16-1135-2016, https://doi.org/10.5194/nhess-16-1135-2016, 2016
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Earthquakes of volcanic origin (VT) represent a significant hazard in volcanic islands prone to landslides. We present a methodology to forecast large VT earthquakes during volcanic crises based on an algorithm that translates fluctuations of the level of seismicity into 10-day time windows of increased probability of a major event. This algorithm has been successfully applied during the 2011–2013 volcanic crisis at El Hierro (Canary Islands).
Boris M. Shevtsov, Pavel P. Firstov, Nina V. Cherneva, Robert H. Holzworth, and Renat R. Akbashev
Nat. Hazards Earth Syst. Sci., 16, 871–874, https://doi.org/10.5194/nhess-16-871-2016, https://doi.org/10.5194/nhess-16-871-2016, 2016
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The Kamchatka volcano group is located near populated areas and international air routes. Due to this, explosive eruptions are a serious threat to their security. To decrease the risks, effective systems for remote detection of eruptions are necessary. WWLLN resolution is enough for the remote sensing of the volcano lightning activity in the early stage of ash cloud formation a few minutes after the eruption when electrification proceeds the most intensively.
Manuela Elissondo, Valérie Baumann, Costanza Bonadonna, Marco Pistolesi, Raffaello Cioni, Antonella Bertagnini, Sébastien Biass, Juan-Carlos Herrero, and Rafael Gonzalez
Nat. Hazards Earth Syst. Sci., 16, 675–704, https://doi.org/10.5194/nhess-16-675-2016, https://doi.org/10.5194/nhess-16-675-2016, 2016
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We present a chronological reconstruction of the 2011 eruption of Puyehue-Cordón Caulle volcano (Chile) which significantly affected the ecosystem and important economic sectors. The comparison with the impact associated with other recent eruptions located in similar areas shows that the regions downwind of the erupting volcanoes suffered similar problems, suggesting that a detailed collection of impact data can be largely beneficial for the development of emergency and risk-mitigation plans.
D. Andronico and P. Del Carlo
Nat. Hazards Earth Syst. Sci., 16, 29–40, https://doi.org/10.5194/nhess-16-29-2016, https://doi.org/10.5194/nhess-16-29-2016, 2016
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The paper focuses on the potential health risks caused by the sub-10 micron fraction of volcanic ash (PM10) following explosive eruptions of Mt. Etna (Italy). We present the results of a study on the ash concentration in the air of urbanized areas after the 15 November 2011 lava fountain and the related tephra fallout, causing high levels of PM10 in the air. We conclude by hoping that due attention will be given to the impact of ash fallout on the Etnean territory in the future.
A. M. Syavulisembo, H.-B. Havenith, B. Smets, N. d'Oreye, and J. Marti
Nat. Hazards Earth Syst. Sci., 15, 2391–2400, https://doi.org/10.5194/nhess-15-2391-2015, https://doi.org/10.5194/nhess-15-2391-2015, 2015
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The Virunga area in the Democratic Republic of the Congo, with over 1 million inhabitants, has to permanently cope with the threat posed by the active Nyamulagira and Nyiragongo volcanoes. During the past century, Nyamulagira erupted at intervals of about every 3 years – mostly in the form of lava flows – at least 30 times. In order to identify a useful tool for hazard assessment at the Goma Volcanological Observatory, we tested VORIS, a freely available software (www.gvb-csic.es).
G. Córdoba, G. Villarosa, M. F. Sheridan, J. G. Viramonte, D. Beigt, and G. Salmuni
Nat. Hazards Earth Syst. Sci., 15, 757–766, https://doi.org/10.5194/nhess-15-757-2015, https://doi.org/10.5194/nhess-15-757-2015, 2015
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This paper shows the results of secondary lahar modelling in Villa La Angostura town (Neuquén-Argentina) based on the Two-Phase-Titan modelling computer code.
Possible occurrence of secondary lahars that could reach the city was analysed. The procedure allowed simulation of the path of flows from Florencia, Las Piedritas and Colorado creeks, which are the most influential streams in Villa La Angostura. The output of the modelling is a valuable tool for city planning and risk management.
Cited articles
Akiba, T., Sano, S., Yanase, T., Ohta, T., and Koyama, M.: Optuna: A next-generation
hyperparameter optimization framework, in: Proceedings of the 25th ACM SIGKDD international
conference on knowledge discovery & data mining, New York, NY, USA, 2623–2631, https://doi.org/10.1145/3292500.3330701, 2019.
Arnalds, O.: The Influence of Volcanic Tephra (Ash) on Ecosystems, in:
Advances in Agronomy, vol. 121, edited by: Sparks, D., Elsevier, Amsterdam,
331–380, https://doi.org/10.1016/B978-0-12-407685-3.00006-2, 2013.
Asoka, A. and Mishra, V.: Prediction of vegetation anomalies to improve food
security and water management in India, Geophys. Res. Lett., 42, 5290–5298,
https://doi.org/10.1002/2015GL063991, 2015.
Ayris, P. M. and Delmelle, P.: The immediate environmental effects of tephra
emission, Bull. Volcanol., 74, 1905–1936,
https://doi.org/10.1007/s00445-012-0654-5, 2012.
Bagheri, G., Rossi, E., Biass, S., and Bonadonna, C.: Timing and nature of
volcanic particle clusters based on field and numerical investigations, J.
Volcanol. Geotherm. Res., 327, 520–530,
https://doi.org/10.1016/j.jvolgeores.2016.09.009, 2016.
Batunacun, Wieland, R., Lakes, T., and Nendel, C.: Using Shapley additive explanations to interpret extreme gradient boosting predictions of grassland degradation in Xilingol, China, Geosci. Model Dev., 14, 1493–1510, https://doi.org/10.5194/gmd-14-1493-2021, 2021.
Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A.,
and Wood, E. F.: Present and future Köppen-Geiger climate classification
maps at 1-km resolution, Sci. Data, 5, 180214,
https://doi.org/10.1038/sdata.2018.214, 2018.
Biass, S., Jenkins, S., Lallemant, D., Lim, T. N., Williams, G., and Yun,
S.-H.: Remote sensing of volcanic impacts, in: Forecasting and Planning for
Volcanic Hazards, Risks, and Disasters, vol. 2, edited by: Papale, P.,
Elsevier, 473–491, https://doi.org/10.1016/B978-0-12-818082-2.00012-3,
2021.
Biass, S.: Data for NHESS manuscript by Biass et al. (2022): Insights into the vulnerability of vegetation to tephra fallouts from interpretable machine learning and big Earth observation data (1.0), Zenodo [data set], https://doi.org/10.5281/zenodo.6976234, 2022.
Blake, D., Wilson, G., Stewart, C., Craig, H., Hayes, J. L., Jenkins, S. F.,
Wilson, T., Horwell, C. J., Andreastuti, S., Daniswara, R., Ferdijwijaya,
S., Leonard, G., Hendrasto, M., and Cronin, S. J.: The 2014 eruption of
Kelud volcano, Indonesia: impacts on infrastructure, utilities, agriculture
and health, GNS Science Report 2015/15, GNS Science, Te Pu Ao, 2015.
Bonadonna, C., Cioni, R., Pistolesi, M., Elissondo, M., and Baumann, V.:
Sedimentation of long-lasting wind-affected volcanic plumes: the example of
the 2011 rhyolitic Cordón Caulle eruption, Chile, Bull. Volcanol., 77,
1–19, https://doi.org/10.1007/s00445-015-0900-8, 2015.
Breiman, L.: Random Forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324,
2001.
Bright, B. C., Hudak, A. T., Kennedy, R. E., Braaten, J. D., and Henareh Khalyani, A.: Examining
post-fire vegetation recovery with Landsat time series analysis in three western North
American forest types, Fire Ecol., 15, 8, https://doi.org/10.1186/s42408-018-0021-9, 2019.
Buchhorn, M., Smets, B., Bertels, L., Roo, B. D., Lesiv, M., Tsendbazar,
N.-E., Herold, M., and Fritz, S.: Copernicus Global Land Service: Land Cover
100 m: collection 3: epoch 2018: Globe, Zenodo [data set], https://doi.org/10.5281/ZENODO.3518038, 2020.
Cai, Z., Jönsson, P., Jin, H., and Eklundh, L.: Performance of smoothing
methods for reconstructing NDVI time-series and estimating vegetation
phenology from MODIS data, Remote Sens., 9, 20–22,
https://doi.org/10.3390/rs9121271, 2017.
Campos-Taberner, M., Moreno-Martínez, Á., García-Haro, F. J.,
Camps-Valls, G., Robinson, N. P., Kattge, J., and Running, S. W.: Global
estimation of biophysical variables from Google Earth Engine platform,
Remote Sens., 10, 1–17, https://doi.org/10.3390/rs10081167, 2018.
Caswell, T. A., Droettboom, M., Lee, A., de Andrade, E. S., Hoffmann, T., Klymak, J., Hunter, J., Firing, E., Stansby, D., Varoquaux, N., Nielsen, J. H., Root, B., May, R., Elson, P., Seppänen, J. K., Dale, D., Lee, J.-J., McDougall, D., Straw, A., Hobson, P., hannah, Gohlke, C., Vincent, A. F., Yu, T. S., Ma, E., Silvester, S., Moad, C., Kniazev, N., Ernest, E., and Ivanov, P.: matplotlib/matplotlib: REL: v3.5.2, Zenodo, https://doi.org/10.5281/zenodo.6513224, 2022.
Chen, T. and Guestrin, C.: XGBoost: A scalable tree boosting system, in: Proceedings of the
22nd ACM SIGKDD international conference on knowledge discovery and data mining, New York,
NY, USA, 785–794, https://doi.org/10.1145/2939672.2939785, 2016.
Chen, T., He, T, Benesty, M, and Tang, Y: Understand your dataset with XGBoost:
https://cran.r-project.org/web/packages/xgboost/vignettes/discoverYourData.html, last access:
21 June 2022.
Chou, W., Lin, W., and LIn, C.: Vegetation recovery patterns assessment at landslides caused
by catastrophic earthquake: A case study in central Taiwan, Environ. Monit. Assess., 152, 245, https://doi.org/10.1007/s10661-008-0312-8, 2009.
Choumert, J. and Phinélias, P.: Volcanic hazards, land and labor,
CERDI, Pole Tertiaire, Clermont Ferrand, https://ideas.repec.org/p/hal/wpaper/halshs-01845041.html (last access: 21 June 2022), 2018.
Collini, E., Osores, M. S., Folch, A., Viramonte, J. G., Villarosa, G., and
Salmuni, G.: Volcanic ash forecast during the June 2011 Cordón Caulle
eruption, Nat. Hazards, 66, 389–412,
https://doi.org/10.1007/s11069-012-0492-y, 2013.
Costa, A., Pioli, L., and Bonadonna, C.: Assessing tephra total grain-size
distribution: Insights from field data analysis, Earth Planet. Sci. Lett.,
443, 90–107, https://doi.org/10.1016/j.epsl.2016.02.040, 2016.
Craig, H., Wilson, T., Stewart, C., Villarosa, G., Outes, V., Cronin, S.,
and Jenkins, S.: Agricultural impact assessment and management after three
widespread tephra falls in Patagonia, South America, Nat. Hazards, 82,
1167–1229, https://doi.org/10.1007/s11069-016-2240-1, 2016a.
Craig, H., Wilson, T., Stewart, C., Outes, V., Villarosa, G., and Baxter,
P.: Impacts to agriculture and critical infrastructure in Argentina after
ashfall from the 2011 eruption of the Cordón Caulle volcanic complex: an
assessment of published damage and function thresholds, J. Appl. Volcanol.,
5, 7, https://doi.org/10.1186/s13617-016-0046-1, 2016b.
Craig, H. M., Wilson, T. M., Magill, C., Stewart, C., and Wild, A. J.:
Agriculture and forestry impact assessment for tephra fall hazard: fragility
function development and New Zealand scenario application, Volcanica, 4,
345–367, https://doi.org/10.30909/vol.04.02.345367, 2021.
Crisafulli, C., Swanson, F., Halvorson, J., and Clarkson, B.: Volcano
Ecology: Disturbance Characteristics and Assembly of Biological Communities,
in: The Encyclopedia of volcanoes, 2nd edition, edited by: Sigurdsson, H.,
Houghton, B., McNutt, S., Rymer, H., and Stix, J., Academic Press, SanDiego,
1265–1284, https://doi.org/10.1016/B978-0-12-385938-9.00073-0, 2015.
Cronin, S. J., Stewart, C., Zernack, A. V., Brenna, M., Procter, J. N., Pardo, N., Christenson,
B., Wilson, T., Stewart, R. B., and Irwin, M.: Volcanic ash leachate compositions
and assessment of health and agricultural hazards from 2012 hydrothermal eruptions, Tongariro,
New Zealand, J. Volcanol. Geoth. Res., 286, 233–247,
https://doi.org/10.1016/j.jvolgeores.2014.07.002, 2014.
Crowley, M. A., Cardille, J. A., White, J. C., and Wulder, M. A.: Generating
intra-year metrics of wildfire progression using multiple open-access
satellite data streams, Remote Sens. Environ., 232, 111295,
https://doi.org/10.1016/j.rse.2019.111295, 2019.
Dale, V. H., Swanson, F. J., and Crisafulli, C. M.: Ecological responses to the 1980 eruption of Mount
St. Helens, Springer, New York, NY, 286 pp., ISBN 978-0-387-28150-6, 2005.
Degruyter, W. and Bonadonna, C.: Improving on mass flow rate estimates of volcanic eruptions,
Geophys. Res. Lett., 39, L16308, https://doi.org/10.1029/2012GL052566, 2012.
de Rose, R. C., Ogushi, T., Morishima, W., and Collado, M.: Land cover
change on Mt. Pinatubo, the Philippines, monitored using ASTER VNIR, Int. J.
Remote Sens., 32, 9279–9305, https://doi.org/10.1080/01431161.2011.554452,
2011.
De Schutter, A., Kervyn, M., Canters, F., Bosshard-Stadlin, S. A., Songo, M.
A. M., and Mattsson, H. B.: Ash fall impact on vegetation: a remote sensing
approach of the Oldoinyo Lengai 2007–08 eruption, J. Appl. Volcanol., 4,
15, https://doi.org/10.1186/s13617-015-0032-z, 2015.
DeVries, B., Huang, C., Armston, J., Huang, W., Jones, J. W., and Lang, M.
W.: Rapid and robust monitoring of flood events using Sentinel-1 and Landsat
data on the Google Earth Engine, Remote Sens. Environ., 240, 111664,
https://doi.org/10.1016/j.rse.2020.111664, 2020.
Didan, K.: MOD13Q1 MODIS/Terra Vegetation Indices 16-Day L3 Global 250m SIN Grid V006, distributed by NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/MODIS/MOD13Q1.006, 2005.
Dijk, O.: oegedijk/explainerdashboard: v0.3.8.2, Zenodo [code], https://doi.org/10.5281/zenodo.6408776, 2022.
Dominguez, L., Bonadonna, C., Forte, P., Jarvis, P. A., Cioni, R., Mingari,
L., Bran, D., and Panebianco, J. E.: Aeolian Remobilisation of the
2011-Cordón Caulle Tephra-Fallout Deposit: Example of an Important
Process in the Life Cycle of Volcanic Ash, Front. Earth Sci., 7, 1–20,
https://doi.org/10.3389/feart.2019.00343, 2020a.
Dominguez, L., Rossi, E., Mingari, L., Bonadonna, C., Forte, P., Panebianco,
J. E., and Bran, D.: Mass flux decay timescales of volcanic particles due to
aeolian processes in the Argentinian Patagonia steppe, Sci. Rep., 10, 1–15,
https://doi.org/10.1038/s41598-020-71022-w, 2020b.
Easdale, M. H. and Bruzzone, O.: Spatial distribution of volcanic ash
deposits of 2011 Puyehue-Cordón Caulle eruption in Patagonia as measured
by a perturbation in NDVI temporal dynamics, J. Volcanol. Geotherm. Res.,
353, 11–17, https://doi.org/10.1016/j.jvolgeores.2018.01.020, 2018.
Elissondo, M., Baumann, V., Bonadonna, C., Pistolesi, M., Cioni, R., Bertagnini, A., Biass, S., Herrero, J.-C., and Gonzalez, R.: Chronology and impact of the 2011 Cordón Caulle eruption, Chile, Nat. Hazards Earth Syst. Sci., 16, 675–704, https://doi.org/10.5194/nhess-16-675-2016, 2016.
Enriquez, A. S., Necpalova, M., Cremona, M. V., Peri, P. L., and Six, J.:
Immobilization and stabilization of volcanic ash in soil aggregates in
semiarid meadows of Northern Patagonia, Geoderma, 392, 114987,
https://doi.org/10.1016/j.geoderma.2021.114987, 2021.
FAO: The Impact of disasters and crises on agriculture and Food Security,
Food and Agriculture Organisation, Rome, ISBN 978-92-5-130359-7, 2018.
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S.,
Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S.,
Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., and Alsdorf,
D.: The Shuttle Radar Topography Mission, Rev. Geophys., 45, RG2004,
https://doi.org/10.1029/2005RG000183, 2007.
Few, R., Armijos, M. T., and Barclay, J.: Living with Volcan Tungurahua: The
dynamics of vulnerability during prolonged volcanic activity, Geoforum, 80,
72–81, https://doi.org/10.1016/j.geoforum.2017.01.006, 2017.
Fisher, A., Rudin, C., and Dominici, F.: All Models are Wrong, but Many are Useful: Learning a
Variable’s Importance by Studying an Entire Class of Prediction Models Simultaneously, J. Mach. Learn. Res., 20, 1–81, 2019.
Folch, A., Mingari, L., Osores, M. S., and Collini, E.: Modeling volcanic ash resuspension – application to the 14–18 October 2011 outbreak episode in central Patagonia, Argentina, Nat. Hazards Earth Syst. Sci., 14, 119–133, https://doi.org/10.5194/nhess-14-119-2014, 2014.
Folch, A., Costa, A., and Macedonio, G.: FPLUME-1.0: An integral volcanic plume model accounting for ash aggregation, Geosci. Model Dev., 9, 431–450, https://doi.org/10.5194/gmd-9-431-2016, 2016.
Folch, A., Mingari, L., Gutierrez, N., Hanzich, M., Macedonio, G., and Costa, A.: FALL3D-8.0: a computational model for atmospheric transport and deposition of particles, aerosols and radionuclides – Part 1: Model physics and numerics, Geosci. Model Dev., 13, 1431–1458, https://doi.org/10.5194/gmd-13-1431-2020, 2020.
Forte, P., Domínguez, L., Bonadonna, C., Gregg, C. E., Bran, D., Bird, D., and Castro, J.
M.: Ash resuspension related to the 2011–2012 Cordón Caulle eruption, Chile, in a rural community
of Patagonia, Argentina, J. Volcanol. Geoth. Res., 350, 18–32, https://doi.org/10.1016/j.jvolgeores.2017.11.021, 2017.
Freire, S., Florczyk, A., Pesaresi, M., and Sliuzas, R.: An Improved Global
Analysis of Population Distribution in Proximity to Active Volcanoes,
1975–2015, ISPRS Int. J. Geo-Inf., 8, 341,
https://doi.org/10.3390/ijgi8080341, 2019.
Giuliani, G., Camara, G., Killough, B., and Minchin, S.: Earth observation
open science: enhancing reproducible science using data cubes, Data, 4,
4–9, https://doi.org/10.3390/data4040147, 2019.
Gomes, V. C. F., Queiroz, G. R., and Ferreira, K. R.: An overview of
platforms for big earth observation data management and analysis, Remote
Sens., 12, 1–25, https://doi.org/10.3390/RS12081253, 2020.
Gonzalez-Roglich, M., Zvoleff, A., Noon, M., Liniger, H., Fleiner, R.,
Harari, N., and Garcia, C.: Synergizing global tools to monitor progress
towards land degradation neutrality: Trends.Earth and the World Overview of
Conservation Approaches and Technologies sustainable land management
database, Environ. Sci. Policy, 93, 34–42,
https://doi.org/10.1016/j.envsci.2018.12.019, 2019.
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.
Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., Wieser, E., Taylor, J., Berg, S., Smith, N. J., Kern, R., Picus, M., Hoyer, S., van Kerkwijk, M. H., Brett, M., Haldane, A., del Río, J. F., Wiebe, M., Peterson, P., Gérard-Marchant, P., Sheppard, K., Reddy, T., Weckesser, W., Abbasi, H., Gohlke, C., and Oliphant, T. E.: Array programming with NumPy, Nature, 585, 357–362, https://doi.org/10.1038/s41586-020-2649-2, 2020.
He, W., Ye, C., Sun, J., Xiong, J., Wang, J., and Zhou, T.: Dynamics and
drivers of the alpine timberline on Gongga Mountain of Tibetan
Plateau-Adopted from the Otsu method on Google Earth engine, Remote Sens.,
12, 1–20, https://doi.org/10.3390/RS12162651, 2020.
Hengl, T., Mendes de Jesus, J., Heuvelink, G. B. M., Ruiperez Gonzalez, M., Kilibarda, M.,
Blagotić, A., Shangguan, W., Wright, M. N., Geng, X., Bauer-Marschallinger, B., Guevara, M.
A., Vargas, R., MacMillan, R. A., Batjes, N. H., Leenaars, J. G. B., Ribeiro, E., Wheeler, I.,
Mantel, S., and Kempen, B.: SoilGrids250m: Global gridded soil information based on machine
learning, PLOS ONE, 12, 1–40, https://doi.org/10.1371/journal.pone.0169748, 2017.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D.,
Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P.,
Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková,
M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay,
P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J. N.: The ERA5
global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049,
https://doi.org/10.1002/qj.3803, 2020.
Hope, A., Albers, N., and Bart, R.: Characterizing post-fire recovery of fynbos vegetation in
the western cape region of south africa using MODIS data, Int. J. Remote Sensing, 33, 979–999, https://doi.org/10.1080/01431161.2010.543184, 2012.
Hotes, S., Poschlod, P., Takahashi, H., Grootjans, A. P., and Adema, E.:
Effects of tephra deposition on mire vegetation: a field experiment in
Hokkaido, Japan: Tephra effects on mire vegetation, J. Ecol., 92, 624–634,
https://doi.org/10.1111/j.0022-0477.2004.00901.x, 2004.
Huete, A. R., Didana, K., Miuraa, T., Rodrigueza, E. P., Gaoa, X., and
Ferreirab, L. G.: Overview of the radiometric and biophysical performance of
the MODIS vegetation indices, Remote Sens. Env., 83,
https://doi.org/10.1016/S0034-4257(02)00096-2, 2002.
Hunter, J. D.: Matplotlib: A 2D graphics environment, Comput. Sci. Eng., 9, 90–95, https://doi.org/10.1109/MCSE.2007.55, 2007.
Jenkins, S. F., Spence, R. J. S., Fonseca, J. F. B. D., Solidum, R. U., and
Wilson, T. M.: Volcanic risk assessment: Quantifying physical vulnerability
in the built environment, J. Volcanol. Geotherm. Res., 276, 105–120,
https://doi.org/10.1016/j.jvolgeores.2014.03.002, 2014.
Jenkins, S. F., Wilson, T. M., Magill, C., Miller, V., Stewart, C., Blong,
R., Marzocchi, W., Boulton, M., Bonadonna, C., and Costa, A.: Volcanic ash
fall hazard and risk, in: Global Volcanic Hazards and Risk, edited by:
Loughlin, S., Sparks, S., Brown, S., Jenkins, S., and Vye-Brown, C.,
Cambridge University Press, 173–222, https://doi.org/10.1017/CBO9781316276273.005, 2015.
Jenkins, S. F., Biass, S., Williams, G. T., Hayes, J. L., Tennant, E., Yang, Q., Burgos, V., Meredith, E. S., Lerner, G. A., Syarifuddin, M., and Verolino, A.: Evaluating and ranking Southeast Asia's exposure to explosive volcanic hazards, Nat. Hazards Earth Syst. Sci., 22, 1233–1265, https://doi.org/10.5194/nhess-22-1233-2022, 2022.
Jin, Z., Azzari, G., You, C., Di Tommaso, S., Aston, S., Burke, M., and
Lobell, D. B.: Smallholder maize area and yield mapping at national scales
with Google Earth Engine, Remote Sens. Environ., 228, 115–128,
https://doi.org/10.1016/j.rse.2019.04.016, 2019.
Jordahl, K., Bossche, J. V. den, Fleischmann, M., Wasserman, J., McBride, J., Gerard, J., Tratner, J., Perry, M., Badaracco, A. G., Farmer, C., Hjelle, G. A., Snow, A. D., Cochran, M., Gillies, S., Culbertson, L., Bartos, M., Eubank, N., maxalbert, Bilogur, A., Rey, S., Ren, C., Arribas-Bel, D., Wasser, L., Wolf, L. J., Journois, M., Wilson, J., Greenhall, A., Holdgraf, C., Filipe, and Leblanc, F.: geopandas/geopandas: v0.8.1, Zenodo [code], https://doi.org/10.5281/zenodo.3946761, 2020.
Kalisa, W., Igbawua, T., Henchiri, M., Ali, S., Zhang, S., Bai, Y., and
Zhang, J.: Assessment of climate impact on vegetation dynamics over East
Africa from 1982 to 2015, Sci. Rep., 9, 1–20,
https://doi.org/10.1038/s41598-019-53150-0, 2019.
Kattenborn, T., Schiefer, F., Frey, J., Feilhauer, H., Mahecha, M. D., and
Dormann, C. F.: Spatially autocorrelated training and validation samples
inflate performance assessment of convolutional neural networks, ISPRS Open
J. Photogramm. Remote Sens., 5, 100018,
https://doi.org/10.1016/j.ophoto.2022.100018, 2022.
Khanal, N., Matin, M. A., Uddin, K., Poortinga, A., Chishtie, F., Tenneson,
K., and Saah, D.: A comparison of three temporal smoothing algorithms to
improve land cover classification: A case study from NEPAL, Remote Sens.,
12, 5–7, https://doi.org/10.3390/RS12182888, 2020.
Kong, D., Zhang, Y., Gu, X., and Wang, D.: A robust method for
reconstructing global MODIS EVI time series on the Google Earth Engine,
ISPRS J. Photogramm. Remote Sens., 155, 13–24,
https://doi.org/10.1016/j.isprsjprs.2019.06.014, 2019.
Le Pennec, J.-L., Ruiz, G. A., Ramón, P., Palacios, E., Mothes, P., and
Yepes, H.: Impact of tephra falls on Andean communities: The influences of
eruption size and weather conditions during the 1999–2001 activity of
Tungurahua volcano, Ecuador, J. Volcanol. Geotherm. Res., 217–218, 91–103,
https://doi.org/10.1016/j.jvolgeores.2011.06.011, 2012.
Leadbetter, S. J., Hort, M. C., von Löwis, S., Weber, K., and Witham, C. S.: Modeling
the resuspension of ash deposited during the eruption of Eyjafjallajökull in spring
2010: MODELING RESUSPENDED VOLCANIC ASH, J. Geophys. Res., 117, D00U10, https://doi.org/10.1029/2011JD016802, 2012.
Lehmann, A., Nativi, S., Mazzetti, P., Maso, J., and Serral, I.: GEOEssential – mainstreaming
work flows from data sources to environment policy indicators with essential variables, Int. J. Digit. Earth, 13, 322–338, https://doi.org/10.1080/17538947.2019.1585977,
2020.
Li, L., Bakelants, L., Solana, C., Canters, F., and Kervyn, M.: Dating lava
flows of tropical volcanoes by means of spatial modeling of vegetation
recovery, Earth Surf. Process. Landf., 43, 840–856,
https://doi.org/10.1002/esp.4284, 2018.
Li, S., Xu, L., Jing, Y., Yin, H., Li, X., and Guan, X.: High-quality
vegetation index product generation: A review of NDVI time series
reconstruction techniques, Int. J. Appl. Earth Obs. Geoinformation, 105,
102640, https://doi.org/10.1016/j.jag.2021.102640, 2021.
Ligot, N., Guevara, A., and Delmelle, P.: Drivers of crop impacts from tephra fallout: Insights
from interviews with farming communities around Tungurahua volcano, Ecuador, Volcanica, 5,
163–181, https://doi.org/10.30909/vol.05.01.163181, 2022.
Lin, Y. C., Mestav Sarica, G., Chua, T. J., Jenkins, S. F., Switzer, A. D.,
Woo, G., and Lallemant, D.: Asia's looming Black Elephant events, Commun.
Earth Environ., 2, 214, https://doi.org/10.1038/s43247-021-00283-8, 2021.
Liu, E. J., Cashman, K. V., Beckett, F. M., Witham, C. S., Leadbetter, S.
J., Hort, M. C., and Guðmundsson, S.: Ash mists and brown snow:
Remobilization of volcanic ash from recent Icelandic eruptions, J. Geophys.
Res.-Atmos., 119, 2014JD021598, https://doi.org/10.1002/2014JD021598,
2014.
Liu, L., Xiao, X., Qin, Y., Wang, J., Xu, X., Hu, Y., and Qiao, Z.: Mapping cropping intensity in
China using time series Landsat and Sentinel-2 images and Google Earth Engine, Remote Sens.
Environ., 239, 111624, https://doi.org/10.1016/j.rse.2019.111624, 2020.
Loughlin, S., Barsotti, S., Bonadonna, C., and Calder, E. S.: Geophysical risk: volcanic activity, in:
Science for Disaster Risk Management knowing better and losing less, vol. 3.2, edited by: Poljanšek, K.,
Marín Ferrer, M, De Groeve, T, and Clark, I, Luxembourg, 151–190, 2018.
Lu, T., Zeng, H., Luo, Y., Wang, Q., Shi, F., Sun, G., Wu, Y., and Wu, N.: Monitoring vegetation
recovery after China’s May 2008 wenchuan earthquake using landsat TM time-series data: a case
study in Mao county, Ecol. Res., 27, 955–966, https://doi.org/10.1007/s11284-012-0976-y, 2012.
Lundberg, S. M., Erion, G., Chen, H., DeGrave, A., Prutkin, J. M., Nair, B.,
Katz, R., Himmelfarb, J., Bansal, N., and Lee, S.-I.: From local
explanations to global understanding with explainable AI for trees, Nat.
Mach. Intell., 2, 56–67, https://doi.org/10.1038/s42256-019-0138-9, 2020.
Magill, C., Wilson, T., and Okada, T.: Observations of tephra fall impacts
from the 2011 Shinmoedake eruption, Japan, Earth Planets Space, 65,
677–698, https://doi.org/10.5047/eps.2013.05.010, 2013.
Mahecha, M. D., Gans, F., Brandt, G., Christiansen, R., Cornell, S. E., Fomferra, N., Kraemer, G., Peters, J., Bodesheim, P., Camps-Valls, G., Donges, J. F., Dorigo, W., Estupinan-Suarez, L. M., Gutierrez-Velez, V. H., Gutwin, M., Jung, M., Londoño, M. C., Miralles, D. G., Papastefanou, P., and Reichstein, M.: Earth system data cubes unravel global multivariate dynamics, Earth Syst. Dynam., 11, 201–234, https://doi.org/10.5194/esd-11-201-2020, 2020.
Major, J. J., Bertin, D., Pierson, T. C., Amigo, Á., Iroumé, A.,
Ulloa, H., and Castro, J.: Extraordinary sediment delivery and rapid
geomorphic response following the 2008-2009 eruption of Chaitén Volcano,
Chile, Water Resour. Res., 52, 5075–5094,
https://doi.org/10.1002/2015WR018250, 2016.
Martín-Sotoca, J. J., Saa-Requejo, A., Moratiel, R., Dalezios, N., Faraslis, I., and Tarquis, A. M.: Statistical analysis for satellite-index-based insurance to define damaged pasture thresholds, Nat. Hazards Earth Syst. Sci., 19, 1685–1702, https://doi.org/10.5194/nhess-19-1685-2019, 2019.
Marzen, L., Szantoib, Z., Harrington, L. M. B., and Harrington, J. A.: Implications of management
strategies and vegetation change in the Mount St. Helens blast zone, Geocarto Int.,
26, 359–376, https://doi.org/10.1080/10106049.2011.584977, 2011.
Meroni, M., Fasbender, D., Rembold, F., Atzberger, C., and Klisch, A.: Near
real-time vegetation anomaly detection with MODIS NDVI: Timeliness vs.
accuracy and effect of anomaly computation options, Remote Sens. Environ.,
221, 508–521, https://doi.org/10.1016/j.rse.2018.11.041, 2019.
Molnar, C.: Interpretable Machine Learning, https://christophm.github.io/interpretable-ml-book/cite.html (last access: 11 August 2022), 2021.
Müller, A. C. and Guido, S.: Introduction to Machine Learning with
Python and Scikit-Learn, O'Reilly, ISBN 978-1-4493-6941-5, 2015.
Muñoz Sabater, J.: ERA5-Land monthly averaged data from 1981 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS), https://doi.org/10.24381/cds.68d2bb30, 2019.
Murphy, S., Wright, R., and Rouwet, D.: Color and temperature of the crater
lakes at Kelimutu volcano through time, Bull. Volcanol., 80, 2,
https://doi.org/10.1007/s00445-017-1172-2, 2017.
Nativi, S., Santoro, M., Giuliani, G., and Mazzetti, P.: Towards a knowledge
base to support global change policy goals, Int. J. Digit. Earth, 13,
188–216, https://doi.org/10.1080/17538947.2018.1559367, 2020.
Osman, S., Rossi, E., Bonadonna, C., Frischknecht, C., Andronico, D., Cioni, R., and Scollo, S.: Exposure-based risk assessment and emergency management associated with the fallout of large clasts at Mount Etna, Nat. Hazards Earth Syst. Sci., 19, 589–610, https://doi.org/10.5194/nhess-19-589-2019, 2019.
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, E.: Scikit-learn: Machine learning in Python, J. Mach. Learn. Res., 12, 2825–2830, 2011.
Pfeiffer, T., Costa, A., and Macedonio, G.: A model for the numerical
simulation of tephra fall deposits, J. Volcanol. Geotherm. Res., 140,
273–294, https://doi.org/10.1016/j.jvolgeores.2004.09.001, 2005.
Phillips, J., Barclay, J., Pyle, D., and Armijos, M. T.: Dynamic and
Extensive Risk Arising from Volcanic Ash Impacts on Agriculture, in: Global
Assessment Report on Disaster Risk Reduction (GAR 2019), United Nations
Office for Disaster Risk Reduction, 1–30, 2019.
Pierson, T. C., Major, J. J., Amigo, Á., and Moreno, H.: Acute
sedimentation response to rainfall following the explosive phase of the
2008–2009 eruption of Chaitén volcano, Chile, Bull. Volcanol., 75,
1–17, https://doi.org/10.1007/s00445-013-0723-4, 2013.
Pistolesi, M., Cioni, R., Bonadonna, C., Elissondo, M., Baumann, V.,
Bertagnini, A., Chiari, L., Gonzales, R., Rosi, M., and Francalanci, L.:
Complex dynamics of small-moderate volcanic events: the example of the 2011
rhyolitic Cordón Caulle eruption, Chile, Bull. Volcanol., 77, 1–24,
https://doi.org/10.1007/s00445-014-0898-3, 2015.
Poortinga, A., Clinton, N., Saah, D., Cutter, P., Chishtie, F., Markert, K. N., Anderson, E. R.,
Troy, A., Fenn, M., Tran, L. H., Bean, B., Nguyen, Q., Bhandari, B., Johnson, G., and Towashiraporn,
P.: An operational before-after-control-impact (BACI) designed platform for vegetation monitoring at planetary scale, Remote Sens., 10, 760, https://doi.org/10.3390/rs10050760,
2018.
Poulidis, A. P., Biass, S., Bagheri, G., Takemi, T., and Iguchi, M.:
Atmospheric vertical velocity – a crucial component in understanding
proximal deposition of volcanic ash, Earth Planet. Sci. Lett., 566, 116980,
https://doi.org/10.1016/j.epsl.2021.116980, 2021.
QGIS Development Team: QGIS geographic information system, https://www.qgis.org, last access: 11 August 2022.
Rampengan, M. M. F., Boedhihartono, A. K., Margules, C., Sayer, J., Law, L.,
Gaillard, J. C., Tien, O. T. N., and Linh, T. T. M.: Agroforestry on an
Active Volcanic Small Island in Indonesia: Prospering with Adversity, Geogr.
Res., 54, 19–34, https://doi.org/10.1111/1745-5871.12148, 2016.
Reliefweb: https://reliefweb.int/disaster/vo-2020-000002-phl (last access: 5 January 2022), 2020
Rembold, F., Meroni, M., Urbano, F., Csak, G., Kerdiles, H., Perez-Hoyos,
A., Lemoine, G., Leo, O., and Negre, T.: ASAP: A new global early warning
system to detect anomaly hot spots of agricultural production for food
security analysis, Agric. Syst., 168, 247–257,
https://doi.org/10.1016/j.agsy.2018.07.002, 2019.
Rowley, J.: The wisdom hierarchy: Representations of the DIKW hierarchy, J.
Inf. Sci., 33, 163–180, https://doi.org/10.1177/0165551506070706, 2007.
Runge, J., Bathiany, S., Bollt, E., Camps-Valls, G., Coumou, D., Deyle, E.,
Glymour, C., Kretschmer, M., Mahecha, M. D., Muñoz-Marí, J., van
Nes, E. H., Peters, J., Quax, R., Reichstein, M., Scheffer, M.,
Schölkopf, B., Spirtes, P., Sugihara, G., Sun, J., Zhang, K., and
Zscheischler, J.: Inferring causation from time series in Earth system
sciences, Nat. Commun., 10, 2553,
https://doi.org/10.1038/s41467-019-10105-3, 2019.
Shapley, L. S.: A Value for n-Person Games, in: Contributions to the Theory
of Games 2.28, edited by: Kuhn, H. W. and Tucker, A. W., Princeton
University Press, 307–318, https://doi.org/10.1515/9781400881970-018,
1956.
Sivarajan, S. P., Lindsay, J., Cronin, S., and Wilson, T.: Remediation and
Recovery Techniques for Volcanic Ash-Affected Pasture Soils of New Zealand,
in: Science and policy: nutrient management challenges for the next
generation., edited by: Currie, L. D. and Hedley, M. J., Fertilizer and Lime
Research Centre, Massey University, Palmerston North, New Zealand, Massey,
1–17, 2017.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Liu, Z., Berner, J., Wang, W., Powers, J.
G., Duda, M. G., Barker, D., and Huang, X.: A Description of the Advanced Research WRF Model
Version 4, National Center for Atmospheric Research, Boulder, CO, https://doi.org/10.5065/1dfh-6p97, 2019.
Stewart, C., Craig, H. M., Gaw, S., Wilson, T., Villarosa, G., Outes, V.,
Cronin, S., and Oze, C.: Fate and agricultural consequences of leachable
elements added to the environment from the 2011 Cordón Caulle tephra
fall, J. Volcanol. Geotherm. Res., 327, 554–570,
https://doi.org/10.1016/j.jvolgeores.2016.09.017, 2016.
Stewart, C., Damby, D. E., Tomašek, I., Horwell, C. J., Plumlee, G. S., Armienta, M. A., Hinojosa,
M. G. R., Appleby, M., Delmelle, P., Cronin, S., Ottley, C. J., Oppenheimer, C., and Morman, S.:
Assessment of leachable elements in volcanic ashfall: a review and evaluation of a standardized
protocol for ash hazard characterization, J. Volcanol. Geotherm. Res., 392,
106756, https://doi.org/10.1016/j.jvolgeores.2019.106756, 2020.
Sulova, A. and Arsanjani, J. J.: Exploratory Analysis of Driving Force of
Wildfires in Australia: An Application of Machine Learning within Google
Earth Engine, Remote Sens., 13, 23, https://doi.org/10.3390/rs13010010,
2021.
Tamiminia, H., Salehi, B., Mahdianpari, M., Quackenbush, L., Adeli, S., and
Brisco, B.: Google Earth Engine for geo-big data applications: A
meta-analysis and systematic review, ISPRS J. Photogramm. Remote Sens., 164,
152–170, https://doi.org/10.1016/j.isprsjprs.2020.04.001, 2020.
The pandas development team: pandas-dev/pandas: Pandas, Zenodo [code], https://doi.org/10.5281/zenodo.3509134, 2020.
The World Bank: Evaluación de daños y pérdidas del Volcán de Fuego, The World Bank, Washington,
D.C., https://documents.worldbank.org/en/publication/documents-reports/documentdetail/388801560926135255/evaluación-de-daños-y-pérdidas-del-volcán-de-fuego-dala-report (last access: 11 August 2022), 2018.
Tortini, R., van Manen, S. M., Parkes, B. R. B., and Carn, S. A.: The impact
of persistent volcanic degassing on vegetation: A case study at Turrialba
volcano, Costa Rica, Int. J. Appl. Earth Obs. Geoinformation, 59, 92–103,
https://doi.org/10.1016/j.jag.2017.03.002, 2017.
Wang, L., Diao, C., Xian, G., Yin, D., Lu, Y., Zou, S., and Erickson, T. A.: A summary of the
special issue on remote sensing of land change science with Google earth engine, Remote Sens. Environ., 248, 112002, https://doi.org/10.1016/j.rse.2020.112002, 2020.
Waskom, M. L.: seaborn: statistical data visualization, J. Open Source Softw., 6, 3021, https://doi.org/10.21105/joss.03021, 2021.
Wilson, T., Kaye, G., Stewart, C., and Cole, J.: Impacts of the 2006 eruption of Merapi volcano,
Indonesia, on agriculture and infrastructure, GNS Science Report 2007/07, 2007.
Wilson, T., Cole, J., Stewart, C., Cronin, S., and Johnston, D.: Ash storms:
impacts of wind-remobilised volcanic ash on rural communities and
agriculture following the 1991 Hudson eruption, southern Patagonia, Chile,
Bull. Volcanol., 73, 223–239, 2011a.
Wilson, T., Cole, J., Cronin, S., and Stewart, C.: Impacts on agriculture
following the 1991 eruption of Vulcan Hudson, Patagonia: lessons for
recovery, Nat. Hazards, 57, 185–212, 2011b.
Wilson, T., Stewart, C., Bickerton, H., Baxter, P., Outes, V., Villarosa, G., and Rovere, E: Impacts
of the June 2011 Puyehue-Cordón Caulle volcanic complex eruption on urban infrastructure,
agriculture and public health, GNS Science Report 2012/20, 2013.
Zhang, Y., Kong, D., Gan, R., Chiew, F. H. S., McVicar, T. R., Zhang, Q.,
and Yang, Y.: Coupled estimation of 500 m and 8-day resolution global
evapotranspiration and gross primary production in 2002–2017, Remote Sens.
Environ., 222, 165–182, https://doi.org/10.1016/j.rse.2018.12.031, 2019.
Zobel, D. B., Antos, J. A., and Fischer, D. G.: Community development by forest understory
plants after prolonged burial by tephra, Plant Ecol., 223, 381–396, https://doi.org/10.1007/s11258-021-01216-3, 2022.
Short summary
We present a methodology that combines big Earth observation data and interpretable machine learning to revisit the impact of past volcanic eruptions recorded in archives of multispectral satellite imagery. Using Google Earth Engine and dedicated numerical modelling, we revisit and constrain processes controlling vegetation vulnerability to tephra fallout following the 2011 eruption of Cordón Caulle volcano, illustrating how this approach can inform the development of risk-reduction policies.
We present a methodology that combines big Earth observation data and interpretable machine...
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