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Simulation of LIDAR Point Cloud for a Planet as Generated by Satellite Borne Laser Ranging Instrument

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Abstract

Laser ranging is the modern and fast way of finding distances to different inaccessible objects. When integrated with positioning and orientation sensors these instruments yield 3D coordinates of points on the object. A large number of such points results in a point cloud model of the object. This model contains information about topography and overall shape of the object. This paper presents a method to simulate the resulting point cloud for a planet generated by a satellite borne LiDAR (Light Detection and Ranging) instrument so as to understand the exact nature of data in advance. Planet Moon has been taken as an example in this paper along with the orbital parameters of Chandrayan-1 and its laser instrument LLRI (Lunar Laser Ranging Instrument). The satellite orbit coordinates are calculated in MCMF (Moon Centered Moon Fixed) coordinate system. The satellite ground path is estimated and the LLRI specifications are employed to generate the point cloud data over the planet surface (Moon in this paper) for a given duration and areal coverage. Simulator projects the generated data using UTM (Universal Transverse Mercator) projection or Equal Area Cylindrical Projection system as per the need of data display. Craters and fractal surfaces are also simulated to generate Moon-surface-like data. These simulated data can help in planning LiDAR missions and also help in developing data processing algorithms in advance.

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References

  • Bhandari, N. (2004). Scientific challenges of Chandrayaan-1: the Indian lunar polar orbiter mission. Current Science, 86(11), 1489–1498.

    Google Scholar 

  • Bhandari, N. (2005). Chandrayaan-1: science goals. Journal of Earth System Science, 114(6), 701–709.

    Article  Google Scholar 

  • Clynch, J. R. (2006). Geodetic Coordinate Conversions. Resource Document. http://www.gmat.unsw.edu.au/snap/gps/clynch_pdfs/coordcvt.pdf. Accessed 17 June 2014.

  • Garvin, J. B. (1993). Mapping new and old worlds with laser altimetry. Photonics Spectra, 27(4), 89–94.

    Google Scholar 

  • Kaula, W. M. (1966). Theory of satellite geodesy (p. 124). Waltham: Blaisdell Publishing Co.

    Google Scholar 

  • Lohani, B., Bhatnagar, N., & Aditya, R. (2008). Return pulse waveform simulation for LLRI onboard Chandrayan-1. Journal of the Indian Society Remote Sensing, 36(1), 1–11.

    Article  Google Scholar 

  • Rees, W. G. (2001). Physical principles of remote sensing (pp. 171–192). Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Roncoli, R. B. (2005). Lunar Constants and Models Document. JPL D-32296. Resource Document. Jet Propulsion Laboratory, California Institute of Technology. http://www.hq.nasa.gov/alsj/lunar_cmd_2005_jpl_d32296.pdf. Accessed 17 June 2014.

  • Williams, D. R. (2014). Moon Fact Sheet. NASA Goddard Space Flight Center, Greenbelt, MD 20771. Resource Document. http://nssdc.gsfc.nasa.gov/planetary/factsheet/moonfact.html. Accessed 17 June 2014.

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Acknowledgments

Authors acknowledge the help received from Laboratory of Electro-Optic Systems (LEOS), Indian Space Research Organization (ISRO).

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Correspondence to Bharat Lohani.

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Lohani, B., Roshan, A. & Singh, A.K. Simulation of LIDAR Point Cloud for a Planet as Generated by Satellite Borne Laser Ranging Instrument. J Indian Soc Remote Sens 43, 521–528 (2015). https://doi.org/10.1007/s12524-014-0438-9

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  • DOI: https://doi.org/10.1007/s12524-014-0438-9

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