A web system of virtual morphometric globes for Mars and the Moon

We developed a web system of virtual morphometric globes for Mars and the Moon. As the initial data, we used 15-arc-minutes gridded global digital elevation models (DEMs) extracted from the Mars Orbiter Laser Altimeter (MOLA) and the Lunar Orbiter Laser Altimeter (LOLA) gridded archives. We derived...

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Vydané v:Planetary and space science Ročník 159; s. 105 - 109
Hlavní autori: Florinsky, I.V., Garov, A.S., Karachevtseva, I.P.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 15.09.2018
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ISSN:0032-0633, 1873-5088
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Shrnutí:We developed a web system of virtual morphometric globes for Mars and the Moon. As the initial data, we used 15-arc-minutes gridded global digital elevation models (DEMs) extracted from the Mars Orbiter Laser Altimeter (MOLA) and the Lunar Orbiter Laser Altimeter (LOLA) gridded archives. We derived global digital models of sixteen morphometric variables including horizontal, vertical, minimal, and maximal curvatures, as well as catchment area and topographic index. The morphometric models were integrated into the web system developed as a distributed application consisting of a client front-end and a server back-end. The following main functions are implemented in the system: (1) selection of a morphometric variable; (2) two-dimensional visualization of a calculated global morphometric model; (3) 3D visualization of a calculated global morphometric model on the sphere surface; (4) change of a globe scale; and (5) globe rotation by an arbitrary angle. Free, real-time web access to the system is provided. The web system of virtual morphometric globes can be used for geological and geomorphological studies of Mars and the Moon at the global, continental, and regional scales. •We present a web system of virtual morphometric globes for Mars and the Moon.•The system is a distributed application consisting of a client front-end and a server back-end.•Topography of Mars and the Moon is displayed by sixteen morphometric variables.
ISSN:0032-0633
1873-5088
DOI:10.1016/j.pss.2018.05.011