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Modern Methodology and New Tools for Planetary Mapping

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Progress in Cartography

Part of the book series: Lecture Notes in Geoinformation and Cartography ((ICA))

Abstract

The paper describes a workflow of planetary mapping using the newest remote sensing data and modern GIS technologies. We present the newly developed tools for planetary surface analysis based on cartographic measurements. The data management and design approaches for planetary mapping are described, and the main results of implementation of tools and methods are presented, including new planetary maps.

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Acknowledgment

This work was carried out in MIIGAiK and supported by Russian Science Foundation, project “Study of fundamental geodetic parameters and relief of planets and satellites”, No. 14-22-00197. The authors would like to acknowledge M. Kreslavsky for the advice and careful reading. We thank anonymous reviewers for their helpful comments.

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Authors and Affiliations

  1. MIIGAiK Extraterrestrial Laboratory (MExLab), Moscow State University of Geodesy and Cartography (MIIGAiK), Moscow, Russia

    I. P. Karachevtseva, A. A. Kokhanov, A. E. Zubarev, Zh. F. Rodionova, E. V. Matveev & A. S. Garov

  2. Sternberg State Astronomical Institute Lomonosov Moscow University, Moscow, Russia

    Zh. F. Rodionova

Authors
  1. I. P. Karachevtseva
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  2. A. A. Kokhanov
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  3. A. E. Zubarev
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  4. Zh. F. Rodionova
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  5. E. V. Matveev
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  6. A. S. Garov
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Corresponding author

Correspondence to I. P. Karachevtseva .

Editor information

Editors and Affiliations

  1. Inst Kartographie Geo-Medientechnik, Vienna University of Technology, Vienna, Austria

    Georg Gartner

  2. Vienna University of Technology, Vienna, Wien, Austria

    Markus Jobst

  3. Vienna University of Technology, Vienna, Wien, Austria

    Haosheng Huang

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Karachevtseva, I.P., Kokhanov, A.A., Zubarev, A.E., Rodionova, Z.F., Matveev, E.V., Garov, A.S. (2016). Modern Methodology and New Tools for Planetary Mapping. In: Gartner, G., Jobst, M., Huang, H. (eds) Progress in Cartography. Lecture Notes in Geoinformation and Cartography(). Springer, Cham. https://doi.org/10.1007/978-3-319-19602-2_13

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