The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XLI-B4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 417–423, 2016
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 417–423, 2016

  13 Jun 2016

13 Jun 2016


Kyeong Ja Kim1, Christian Wöhler2, Gwang Hyeok Ju3, Seung–Ryeol Lee1, Alexis P. Rodriguez4, Alexey A. Berezhnoy5, Stephan van Gasselt6,7, Arne Grumpe2, and Rabab Aymaz2 Kyeong Ja Kim et al.
  • 1Korean Institute of Geoscience and Mineral Resources (KIGAM), Daejeon, South Korea
  • 2Technische Universität Dortmund, Image Analysis Group, Dortmund, Germany
  • 3Korea Aerospace Research Institute (KARI), Daejeon, South Korea
  • 4Planetary Science Institute, Tucson, Arizona, USA
  • 5Sternberg Astronomical Institute, Moscow State University, Moscow, Russia
  • 6Freie Universitaet Berlin, Dep. Earth Sci., Berlin, Germany
  • 7University of Seoul, Department of Geoinformatics, Seoul, South Korea

Keywords: Lunar Lander Mission, Landing Site Selection, Resource Exploration, Remote Sensing Data Analysis, Terrain Modelling, Feature Extraction

Abstract. As part of the national space promotion plan and presidential national agendas South Korea’s institutes and agencies under the auspices of the Ministry of Science, Information and Communication Technology and Future Planning (MSIP) are currently developing a lunar mission package expected to reach Moon in 2020. While the officially approved Korean Pathfinder Lunar Orbiter (KPLO) is aimed at demonstrating technologies and monitoring the lunar environment from orbit, a lander – currently in pre-phase A – is being designed to explore the local geology with a particular focus on the detection and characterization of mineral resources. In addition to scientific and potential resource potentials, the selection of the landing-site will be partly constrained by engineering constraints imposed by payload and spacecraft layout. Given today’s accumulated volume and quality of available data returned from the Moon’s surface and from orbital observations, an identification of landing sites of potential interest and assessment of potential hazards can be more readily accomplished by generating synoptic snapshots through data integration. In order to achieve such a view on potential landing sites, higher level processing and derivation of data are required, which integrates their spatial context, with detailed topographic and geologic characterizations. We are currently assessing the possibility of using fuzzy c-means clustering algorithms as a way to perform (semi-) automated terrain characterizations of interest. This paper provides information and background on the national lunar lander program, reviews existing approaches – including methods and tools – for landing site analysis and hazard assessment, and discusses concepts to detect and investigate elemental abundances from orbit and the surface. This is achieved by making use of manual, semi-automated as well as fully-automated remote-sensing methods to demonstrate the applicability of analyses. By considering given boundary conditions, concrete procedures for determining potential landing sites of the Korean lunar lander could be proposed.