Monitoring of geological activity on astronomical sites of the Canary Islands, Hawaii, and Chile

Bibcode
2009SPIE.7478E..52E
DOI
10.1117/12.834144
Eff-Darwich, Antonio; Garcia-Lorenzo, Begoña; Rodriguez-Losada, Jose A.; Hernández-Gutiérrez, Luis E.; de La Nuez, Julio; Romero-Ruiz, Maria C.
Referencia bibliográfica

Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX. Edited by Michel, Ulrich; Civco, Daniel L. Proceedings of the SPIE, Volume 7478, pp. 747821-747821-12 (2009).

Fecha de publicación:
9
2009
Número de autores
6
Número de autores del IAC
3
Número de citas
0
Número de citas referidas
0
Descripción
Future large and extremely large ground-based telescopes will demand stable geological settings.Remote sensing could be an unvaluable tool to analyse the impact of geological activity at selected astronomical sites, namely the observatories of El Teide (Tenerife, Canary Islands), Roque de los Muchachos (La Palma, Canary Islands), Mauna Kea (Hawaii) and Paranal (Chile) and the candidate site of Cerro Ventarrones (Chile). In this sense, the extent of lava flows, eruptive clouds or ground deformation associated to seismic and/or volcanic activity could be analysed and characterised through remote sensing.
Tipo
Sin árbitro

Te puede interesar

  • Sin árbitro
    Convection, rotation, and magnetic activity of solar-like stars from asteroseismology
    During the last decade, our understanding of stellar physics and evolution has undergone a tremendous revolution thanks to asteroseismology. Space missions such as CoRoT, Kepler, K2, and TESS have already been observing millions of stars providing high-precision photometric data. With these data, it is possible to study the convection of stars
    Mathur, Savita

    Fecha de publicación:

    0
    2024
    Bibcode
    2024IAUS..365..195M
    Número de citas
    0
  • Sin árbitro
    Tales of stellar & binary co-evolution, told by stellar oscillations
    Stellar binarity and stellar oscillations are mostly seen and studied as two separate phenomena. Sometimes, one process is even complicating the analysis of the other beyond the liking of one or the other research community. However, the complete picture painted by the physical constraints provided by the combination of both processes represents a
    Beck, Paul G.

    Fecha de publicación:

    10
    2024
    Bibcode
    2024bss..confE..35B
    Número de citas
    0
  • Sin árbitro
    The Multimodal Universe: 100 TB of Machine Learning Ready Astronomical Data
    We present the Multimodal Universe, a new framework collating over 100 TB of multimodal astronomical data for its first release, spanning images, spectra, time series, tabular and hyper-spectral data. This unified collection enables a wide variety of machine learning (ML) applications and research across astronomical domains. The dataset brings
    Angeloudi, Eirini et al.

    Fecha de publicación:

    12
    2024
    Bibcode
    2024RNAAS...8..301A
    Número de citas
    0