Earthquake anomalies recognition through satellite and in-situ monitoring data

Zoran, Maria A.; Savastru, Roxana; Săvăstru, D.

doi:10.5721/eujrs20164952

Cited by 7 publications

(4 citation statements)

References 29 publications

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“…In other studies, data acquired from numerous satellites [37] was ingested [38] and processed [39] to identify unusual anomalies before earthquakes. The precursor value tends to be high near the earthquake's epicenter 1 to 7 days before the seismic event [8]. Traditionally, this outcome has been attributed to the thermal flux emitted from the Earth's crust in regions prone to seismic activity.…”

Section: Land Surface Temperature Proxiesmentioning

confidence: 99%

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Potential Earthquake Proxies from Remote Sensing Data

Boudriki Semlali,

Molina,

Carvajal Librado

et al. 2024

Sustainable Development

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At present, there is no clear scientific evidence of reliable earthquake precursors that can be used as an early warning system. However, many studies have also reported the existence of faint signatures that appear to be coupled to the occurrence of earthquakes. These anomalies have traditionally been detected using data from in-situ sensors near high-seismicity regions. On the other hand, remote sensors offer the potential of large spatial coverage and frequent revisit time, allowing the observation of remote areas such as deserts, mountains, polar caps, or the ocean. This chapter revises the state-of-the-art of the understanding of lithosphere–atmosphere–ionosphere coupling. It also presents recent studies by the authors’ ongoing investigation on short-to-midterm earthquake precursors. The Earth observation variables discussed are (1) surface temperature anomalies from thermal infrared or microwave radiometer measurements, (2) atmospheric signatures, (3) ionospheric total electron density fluctuations or scintillation measured from GNSS signals, and (4) other geophysical variables, including geomagnetic field fluctuations, changes in the Schumann resonance frequency, or low-frequency electromagnetic radiation. However, despite the seismic hazard risk models that exist and the results shown by these studies, it is still very difficult to predict the occurrence of earthquakes.

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Section: Land Surface Temperature Proxiesmentioning

confidence: 99%

“…Remote Sensing (RS) has been widely employed in earthquake studies due to its capability to provide short revisit times and large coverage [7], continuity, and more consistent data than point measurements [8].…”

Section: Introductionmentioning

confidence: 99%

Potential Earthquake Proxies from Remote Sensing Data

Boudriki Semlali,

Molina,

Carvajal Librado

et al. 2024

Sustainable Development

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“…These hazards usually have a great influence on the LST over time. For example, there is a thermal build-up near tectonically active epicentral areas related to earthquakes (Zoran et al 2016 ). Therefore, applying RS and GIS tools to identify, monitor, evaluate, assess, and map the environmental hazards and LU/LC environmental response change on LST is significant to enhance sustainable development planning within any area worldwide.…”

Section: Introductionmentioning

confidence: 99%

Utilizing multi-temporal thermal data to assess environmental land degradation impacts: example from Suez Canal region, Egypt

Arnous

Mansour

2022

Environ Sci Pollut Res

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Land surface temperature (LST) analysis of satellite data is critical for studying the environmental land degradation impacts. However, challenges arise to correlate the LST and field data due to the constant development in land use and land cover (LULC). This study aims to monitor, analyze, assess, and map the environmental land degradation impacts utilizing image processing and GIS tools of satellite data and fieldwork. Two thermal and optical sets of Landsat TM + 5 and TIRS + 8 data dated 1984 and 2018 were used to map the thermal and LULC changes in the Suez Canal region (SCR). The LULC classification was categorized into water bodies, urban areas, vegetation, baren areas, wetland, clay, and salt. LULC and LST change detection results revealed that vegetation and urban areas increased in their areas in 34 years. Moreover, 97% of the SCR witnessed LST rise during this period with an average rise rate of 0.352 °C per year. The most effective LULC class changes on LST were the conversions from or to baren areas, where baren areas were converted to 630.5 km2 vegetation and 104 km2 urban areas rising the LST to 43.57 °C and 45 °C, respectively. The spectral reflectance (LSR), LST profiles, and statistical analyses examined the association between LST and LULC deriving factors. In combination with field observations, five hotspots were chosen to detect and monitor natural and human land degradation impacts on LST of the SCR environment. Land degradations detected include water pollution, groundwater rising, salinity increase, sand dune migration, and seismic activity.

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“…Cioni et al, 2007), or satellite monitoring (e.g. Tramutoli et al, 2013;Zoran et al, 2016;Ouzounov et al, 2018;Martinelli et al, 2020). Automatic devices able to monitor CO 2 fluxes and 13 C/ 12 C parameter may be, in principle, utilized in suitable areas while noble gas analysis may be carried out using suitable automatic devices.…”

Section: Resultsmentioning

confidence: 99%

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Earthquake anomalies recognition through satellite and in-situ monitoring data

Cited by 7 publications

References 29 publications

Potential Earthquake Proxies from Remote Sensing Data

Potential Earthquake Proxies from Remote Sensing Data

Utilizing multi-temporal thermal data to assess environmental land degradation impacts: example from Suez Canal region, Egypt

datasheet1.docx

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