Steepness of Slopes at the Luna-Glob Landing Sites: Estimating by the Shaded Area Percentage in the LROC NAC Images


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

The paper presents estimates of the occurrence probability of slopes, whose steep surfaces could be dangerous for the landing of the Luna-Glob descent probe (Luna-25) given the baseline of the span between the landing pads (~3.5 m), for five potential landing ellipses. As a rule, digital terrain models built from stereo pairs of high-resolution images (here, the images taken by the Narrow Angle Camera onboard the Lunar Reconnaissance Orbiter (LROC NAC)) are used in such cases. However, the planned landing sites are at high latitudes (67°–74° S), which makes it impossible to build digital terrain models, since the difference in the observation angle of the overlapping images is insufficient at these latitudes. Because of this, to estimate the steepness of slopes, we considered the interrelation between the shaded area percentage in the image and the Sun angle over horizon at the moment of imaging. For five proposed landing ellipses, the LROC NAC images (175 images in total) with a resolution from 0.4 to 1.2 m/pixel were analyzed. From the results of the measurements in each of the ellipses, the dependence of the shaded area percentage on the solar angle were built, which was converted to the occurrence probability of slopes. For this, the data on the Apollo 16 landing region ware used, which is covered by both the LROC NAC images and the digital terrain model with high resolution. As a result, the occurrence probability of slopes with different steepness has been estimated on the baseline of 3.5 m for five landing ellipses according to the steepness categories of <7°, 7°–10°, 10°–15°, 15°–20°, and >20°.

About the authors

S. S. Krasilnikov

Vernadsky Institute of Geochemistry and Analytical Chemistry

Author for correspondence.
Email: krasilnikovruss@gmail.com
Russian Federation, Moscow, 119991

A. T. Basilevsky

Vernadsky Institute of Geochemistry and Analytical Chemistry

Email: krasilnikovruss@gmail.com
Russian Federation, Moscow, 119991

M. A. Ivanov

Vernadsky Institute of Geochemistry and Analytical Chemistry

Email: krasilnikovruss@gmail.com
Russian Federation, Moscow, 119991

A. M. Abdrakhimov

Vernadsky Institute of Geochemistry and Analytical Chemistry

Email: krasilnikovruss@gmail.com
Russian Federation, Moscow, 119991

A. A. Kokhanov

Moscow State University of Geodesy and Cartography

Email: krasilnikovruss@gmail.com
Russian Federation, Moscow, 103064

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2018 Pleiades Publishing, Inc.