Study of Volcanic Activity at Different Time Scales Using Hypertemporal Land Surface Temperature Data

Pavlidou, E.; Hecker, C.A.; Werff, H.M.A. van der; Meijde, M. van der

doi:10.1002/2017jb014317

Cited by 6 publications

(5 citation statements)

References 35 publications

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“…The recent studies have pointed that the volcanism will lead to intense surface warming accompanied by many volcanic soot or water vapor (Joshi & Jones, 2009;McCormick et al, 1995;Millán et al, 2022). Based on the above method, Pavlidou et al (2017) successfully detected subtle spatiotemporal signal fluctuations to monitor volcanic activity of Mount Etna and Virunga National Park (Figure 41).…”

Section: Spatiotemporal Lst-based Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications

Duan

et al. 2023

Reviews of Geophysics

148

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Land surface temperature (LST) is a crucial parameter that reflects land-atmosphere interaction and has thus attracted wide interest from geoscientists. Owing to the rapid development of Earth observation technologies, remotely sensed LST is playing an increasingly essential role in various fields. This review aims to summarize the progress in LST estimation algorithms and accelerate its further applications. Thus, we briefly review the most-used thermal infrared (TIR) LST estimation algorithms. More importantly, this review provides a comprehensive collection of the widely used TIR-based LST products and offers important insights into the uncertainties in these products with respect to different land cover conditions via a systematic intercomparison analysis of several representative products. In addition to the discussion on product accuracy, we address problems related to the spatial discontinuity, spatiotemporal incomparability, and short time span of current LST products by introducing the most effective methods. With the aim of overcoming these challenges in available LST products, much progress has been made in developing spatiotemporal seamless LST data, which significantly promotes the successful applications of these products in the field of surface evapotranspiration and soil moisture estimation, agriculture drought monitoring, thermal environment monitoring, thermal anomaly monitoring, and climate change. Overall, this review encompasses the most recent advances in TIR-based LST and the state-of-the-art of applications of LST products at various spatial and temporal scales, identifies critical further research needs and directions to advance and optimize retrieval methods, and promotes the application of LST to improve the understanding of surface thermal dynamics and exchanges.Plain Language Summary Land surface temperature (LST) is a crucial geophysical parameter related to surface energy and water balance of the land-atmosphere system. Satellite remote sensing provides the best way to measure LST and generate various LST products at regional and global scales. In this review, to facilitate the application of LST products in different fields, we first present the physical meaning of satellite-derived LST. Subsequently, we summarize recent advances in LST retrieval and validation methods, with a special focus on the state-of-the-art product collections, product accuracies and intercomparisons, and main problems in current LST products as well as their possible solutions. Additionally, we also review the major applications of LST products in agricultural drought monitoring, thermal environment monitoring, thermal anomaly monitoring, and climate change. Finally, we offer recommendations or perspectives to promote LST retrieval methods and their applications. This review will aid the user in gaining a thorough comprehensive understanding of satellite-derived LST products and promoting their appropriate applications. LI ET AL.

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Section: Spatiotemporal Lst-based Methodsmentioning

confidence: 99%

“…Based on the above method, Pavlidou et al. (2017)successfully detected subtle spatiotemporal signal fluctuations to monitor volcanic activity of Mount Etna and Virunga National Park (Figure 41).…”

Section: Applications Of Lstmentioning

confidence: 99%

Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications

Duan

et al. 2023

Reviews of Geophysics

148

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“…GEDV3 EMISSIVITIES FOR LANDSAT 4\5\7\8 TIR DATA [29] and f ASTER, veg represents ASTER FVC computed using (6).…”

Section: B Landsat Lse Estimationmentioning

confidence: 99%

An Efficient Framework for Producing Landsat-Based Land Surface Temperature Data Using Google Earth Engine

Wang

Zhang

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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A long time-series land surface temperature (LST) product is useful for ecological and environmental studies. However, current LST products cannot provide a global coverage at a fine spatial resolution (∼100 m) over a long period (>30 years). Landsat series satellites that have been launched since 1972 provide a unique opportunity to fill the gap. Here, we proposed a singlechannel framework for producing global long time-series Landsat LST retrievals on a Google earth engine (GEE) cloud computing platform. This framework unifies the LST, land surface emissivity (LSE) and atmospheric water vapor (AWV) estimation algorithms, as well as the emissivity and atmospheric input data for the Landsat LST retrievals from the entire Landsat thermal infrared image archive. In situ LST measurements and the MODIS LST products were employed to evaluate Landsat LST retrievals using the proposed framework over land and water surfaces, respectively. In total, 1317 clear-sky LST samples were collected from the Landsat 5-8 series after spatiotemporal registration with seven sites, and the average bias and root-mean-square error (RMSE) were 0.33 and 2.01 K, respectively. Intercomparison between Landsat and MODIS LST retrievals based on 100 clear-sky scenes over 12 inland lakes showed an average bias of 0.17 K and RMSE of 1.11 K. We conclude that the proposed single-channel framework can produce Landsat LST with high accuracy following a simple yet robust way. Implementation of the single-channel method on GEE shows Manuscript

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“…The use of remote sensing data is a useful approach to conveniently assess volcanic activity, allowing early and rapid detection, quantitative characterization, plume tracking, eruption forecasting, and specifically allowing for the monitoring of remote inaccessible volcanic areas at different time scales [19,23,33]. Particularly, the evolution of satellites in recent years has marked a great advance in the proximal and distal monitoring of volcanic eruptions in areas with scarce instrumentation and/or difficult access [18,34].…”

Section: Introductionmentioning

confidence: 99%

“…Geostationary satellites offer a unique opportunity to follow up, in near real-time, the entire evolution of volcanic eruptions, such as Mount Etna [35,36], expanding monitoring capabilities on an hourly basis, with a time step of 10 or 15 min [18,24,37]. By monitoring a volcanic eruption in near real-time, geostationary satellites can help to reduce risks to the population and local air traffic, as well as to detect different types of volcanic activity [19,33]. Additionally, sensing-based tools are less cost-effective when compared to ground-based monitoring instrumentation, which is more vulnerable to destruction by volcanic activity, theft, or burns [34].…”

Section: Introductionmentioning

confidence: 99%

A Year of Volcanic Hot-Spot Detection over Mediterranean Europe Using SEVIRI/MSG

Alonso,

Durão,

Gouveia

2023

Remote Sensing

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Volcano eruption identification and watching is crucial to better understanding volcano dynamics, namely the near real-time identification of the eruption start, end, and duration. Eruption watching allows hazard assessment, eruption forecasting and warnings, and also risk mitigation during periods of unrest, to enhance public safety and reduce losses from volcanic events. The near real-time fire radiative power (FRP) product retrieved using information from the SEVIRI sensor onboard the Meteosat Second Generation (MSG) satellite are used to identify and follow up volcanic activity at the pan-European level, namely the Mount Etna and Cumbre Vieja eruptions which occurred during 2021. The FRP product is designed to record information on the location, timing, and fire radiative power output of wildfires. Measuring FRP from SEVIRI/MSG and integrating it over the lifetime of a fire provides an estimate of the total Fire Radiative Energy (FRE) released. Together with FRP data analysis, SO2 data from the Copernicus Atmosphere Monitoring Service (CAMS) is used to assess the relationship between daily emitted concentrations of SO2 and the radiative energy released during volcanic eruptions. Results show that the FRE data allows us to evaluate the amount of energy released and is related to the pollutant concentrations from volcanic emissions during the considered events. A good agreement between FRP detection and SO2 atmospheric concentrations was found for the considered eruption occurrences. The adopted methodology, due to its simplicity and near real-time availability, shows potential to be used as a management tool to help authorities monitor and manage resources during ongoing volcanic events.

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Study of Volcanic Activity at Different Time Scales Using Hypertemporal Land Surface Temperature Data

Cited by 6 publications

References 35 publications

Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications

Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications

An Efficient Framework for Producing Landsat-Based Land Surface Temperature Data Using Google Earth Engine

A Year of Volcanic Hot-Spot Detection over Mediterranean Europe Using SEVIRI/MSG

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