Volume XLI-B6
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 17-24, 2016
https://doi.org/10.5194/isprs-archives-XLI-B6-17-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 17-24, 2016
https://doi.org/10.5194/isprs-archives-XLI-B6-17-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  17 Jun 2016

17 Jun 2016

MAPPING LANDSLIDES IN LUNAR IMPACT CRATERS USING CHEBYSHEV POLYNOMIALS AND DEM’S

V. Yordanov1, M. Scaioni1, M. T. Brunetti2, M. T. Melis3, A. Zinzi4,5, and P. Giommi4 V. Yordanov et al.
  • 1Dept. of Architecture, Built environment and Construction engineering (ABC), Politecnico di Milano via Ponzio 31, 20133 Milano, Italy
  • 2Research Institute for Geo-Hydrological Protection – Italian National Research Council (IRPI-CNR) via Madonna Alta, 126, 06128 Perugia, Italy
  • 3Dept. of Chemical and Geological Sciences, University of Cagliari, via Trentino 51, 09127 Cagliari, Italy
  • 4ASI Science Data Center, Italian Space Agency (ASI-ASDC), Roma, Italy
  • 5National Institute for Astrophysics, Astronomical Observatory of Rome (INAF-OAR), Roma, Italy

Keywords: Planetary mapping, Impact craters, Landslides, Chebyshev polynomials

Abstract. Geological slope failure processes have been observed on the Moon surface for decades, nevertheless a detailed and exhaustive lunar landslide inventory has not been produced yet. For a preliminary survey, WAC images and DEM maps from LROC at 100 m/pixels have been exploited in combination with the criteria applied by Brunetti et al. (2015) to detect the landslides. These criteria are based on the visual analysis of optical images to recognize mass wasting features. In the literature, Chebyshev polynomials have been applied to interpolate crater cross-sections in order to obtain a parametric characterization useful for classification into different morphological shapes. Here a new implementation of Chebyshev polynomial approximation is proposed, taking into account some statistical testing of the results obtained during Least-squares estimation. The presence of landslides in lunar craters is then investigated by analyzing the absolute values off odd coefficients of estimated Chebyshev polynomials. A case study on the Cassini A crater has demonstrated the key-points of the proposed methodology and outlined the required future development to carry out.