A geographic comparison of selected large-scale planetary surface features

Bibcode
1985gcsl.rept.....M
Meszaros, S. P.
Bibliographical reference

Unknown

Advertised on:
0
1985
Number of authors
1
IAC number of authors
0
Citations
0
Refereed citations
0
Description
This publication is a compilation of photographic and cartographic comparisons of large, well-known geographical features on planets and moons in the solar system. Included are structures caused by impacts, volcanism, tectonics, and other natural forces. Each feature is discussed individually and then those of similar origin are compared at the same scale.
Type
Non-refereed
Earth (planet)
Lunar craters
Lunar surface
Volcanoes

It may interest you

  • Non-refereed
    Massive characterisation of subgiants and red giants with TESS (Kepler and Gaia)
    TESS serves as a formidable tool for investigating stellar variability. Nonetheless, the adaptation of methodologies employed in other space missions, such as Kepler, to deduce long stellar rotation periods or solar-like stellar pulsations has been a challenge. The advent of multiple sectors of data for most stars every two years with the extended
    García, Rafael A. et al.

    Advertised on:

    9
    2024
    Bibcode
    2024tkas.confE.123G
    Citations
    0
  • Non-refereed
    a Study of Post-Agb Stars in the Light of GAIA DR3 Data
    Low and intermediate-mass stars evolve through the Post Asymptotic Giant Branch (post-AGB) phase before they reach the Planetary Nebulae stage. After leaving the Main Sequence, they undergo intense episodes of mass loss when in the Giant Branch and, then, they enter the post-AGB stage which is a rather puzzling stellar evolutionary phase . Also, it
    Manteiga, Minia et al.

    Advertised on:

    8
    2024
    Bibcode
    2024IAUGA..32P1413M
    Citations
    0
  • Non-refereed
    Unsupervised classification of RR Lyrae stars
    Big datasets are becoming increasingly important in astrophysics due to new surveys continuously observing our night sky. A prominent example of an observatory that will produce a large data stream is Vera C. Rubin LSST, designed to simultaneously monitor the southern night sky in six colors. Unsupervised machine learning (ML), a method of learning
    Steinwender, Lukas et al.

    Advertised on:

    8
    2024
    Bibcode
    2024tkas.confE...2S
    Citations
    0