Estimates of abundance of the short-baseline (1-3 meters) slopes for different Venusian terrains using terrestrial analogues


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The interplanetary mission, Venera-D, which is currently being planned, includes a lander. For a successful landing, it is necessary to estimate the frequency distributions of slopes of the Venusian surface at baselines that are comparable with the horizontal dimensions of lander (1–3 m). The available data on the topographic variations on Venus preclude estimates of the frequency of the short-wavelength slopes. In our study, we applied high-resolution digital terrain models (DTM) for specific areas in Iceland to estimate the slopes on Venus. The Iceland DTMs have 0.5 m spatial and 0.1 m vertical resolution. From the set of these DTMs, we have selected those that morphologically resemble typical landscapes on Venus such as tessera, shield, regional, lobate, and smooth plains. The mode of the frequency distribution of slopes on the model tessera terrain is within a 30°–40° range and a fraction of the surface has slopes <7°, which is considered as the upper safety limit. This is the primary interest. The frequency distribution of slopes on the model tessera is not changed significantly as the baseline is changed from 1 m to 3 m. The terrestrial surfaces that model shield and regional plains on Venus have a prominent slope distribution mode between 8°–20° and the fraction of the surfaces with slopes <7° is less than 30% on both 1 m and 3 m baselines. A narrow, left-shifted histogram characterizes the model smooth plains surfaces. The fraction of surfaces with slopes <7° is about 65–75% for the shorter baseline (1 m). At the longer baseline, the fraction of the shallow-sloped surfaces is increased and fraction of the steep slopes is decreased significantly. The fraction of surfaces with slopes <7° for the 3-m baseline is about 75–88% for the terrains that model both lobate and smooth plains.

Sobre autores

M. Ivanov

Vernadsky Institute of Geochemistry and Analytical Chemistry

Autor responsável pela correspondência
Email: mikhail_ivanov@brown.edu
Rússia, Moscow

L. Zasova

Space Research Institute

Email: mikhail_ivanov@brown.edu
Rússia, Moscow

L. Zeleny

Space Research Institute

Email: mikhail_ivanov@brown.edu
Rússia, Moscow

M. Gerasimov

Space Research Institute

Email: mikhail_ivanov@brown.edu
Rússia, Moscow

N. Ignatiev

Space Research Institute

Email: mikhail_ivanov@brown.edu
Rússia, Moscow

O. Korablev

Space Research Institute

Email: mikhail_ivanov@brown.edu
Rússia, Moscow

M. Marov

Vernadsky Institute of Geochemistry and Analytical Chemistry

Email: mikhail_ivanov@brown.edu
Rússia, Moscow

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