SHARAD Data Mapping for Surface Ice Detection Dr. Luigi Castaldo 3-5 June 2014 Warszawa MPSE 2014 - Mars Connecting Planetary Scientists in Europe.

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SHARAD Data Mapping for Surface Ice Detection Dr. Luigi Castaldo 3-5 June 2014 Warszawa MPSE Mars Connecting Planetary Scientists in Europe

Spaceborn subsurface sounders Time Power Return signal form surface Return signal from a subsurface

Shallow Radar (SHARAD) is a radar sounder. Shallow Radar (SHARAD) is a radar sounder. It transmits and receives through a 9 m dipole. It transmits and receives through a 9 m dipole. frequency of 20 MHz with a bandwidth of 10 MHz with vertical resolution of 15m in free space, alongtrack resolution of m, across-track resolution of m depending on spacecraft altitude and terrain roughness. frequency of 20 MHz with a bandwidth of 10 MHz with vertical resolution of 15m in free space, alongtrack resolution of m, across-track resolution of m depending on spacecraft altitude and terrain roughness. SHARAD transmit a chirped waveform to achieved high range resolution and S/N with the low power available on a spacecraft. SHARAD transmit a chirped waveform to achieved high range resolution and S/N with the low power available on a spacecraft. Synthetic aperture processing is employed to further increase S/N and improve horizontal resolution. Synthetic aperture processing is employed to further increase S/N and improve horizontal resolution. Sharad

Sharad Main scientific Goals Detection of dielectric discontinuities in the subsurface of Mars, and the interpretation of these discontinuities in terms of presence of ice, water, rock or regolith. Detection of dielectric discontinuities in the subsurface of Mars, and the interpretation of these discontinuities in terms of presence of ice, water, rock or regolith. Interpetation of the first meters of the Martian Surface in terms of composition. Interpetation of the first meters of the Martian Surface in terms of composition.

Ionosphere  f pm Sub Surface Material Magnetic Field Not Visible Zone  S/N<0 Visible Zone  S/N>0 Sun elevation SHARAD Mars Surface SurfaceClutter Sharad Scenarium

MARS Calibration and surface inversion The pattern of the dielectric values is highly related to the knowledge of the global topography and geology stratification of Mars. It is not always feasible to discern surface dielectric constant with estabilished method of time delay compensation A new method has been developed: automathically extract the Sharad Power Surface automathically extract the Sharad Power Surface models the surface by FBM models the surface by FBM gives the Dielectric Constant Map of the area under investigation gives the Dielectric Constant Map of the area under investigation

The nocturnal set of data has been used to avoid I noise The nocturnal set of data has been used to avoid I onosphere noise SHARAD Data Product is aggregation of SHARAD Data Blocks SHARAD Data Product is aggregation of SHARAD Data Blocks Data Blocks: processing of one or more received echoes of the same OP Data Blocks: processing of one or more received echoes of the same OP Echoes coherently summed on-board in groups: Pre-summing Echoes coherently summed on-board in groups: Pre-summing Pre-summing 1 (no pre-summing), 2, 4, 8, 16, 28, 32 Pre-summing 1 (no pre-summing), 2, 4, 8, 16, 28, 32 Pre-summing "N" : the samples from N sequential PRIs are summed sample- by-sample thus reducing the data rate by a factor N Pre-summing "N" : the samples from N sequential PRIs are summed sample- by-sample thus reducing the data rate by a factor N MARS Level 1 B 300 m 10 km Track. no Sharad Images from Alberti G., Castaldo L., J.G.R. 01/2012

materials at room temperature under 1 kHz on earth (corresponds to an electromagnetic wave with wavelength of 300 km) Material εrεrεrεr Vacuum 1 (by definition) Air ± (at STP, for 0.9 MHz), [2] STP [2]STP [2] Rock low porosity 15 Rock high porosity 2.5 Carbon disulfide 2.6 Volcanic ash 6 ICE3.14 Rubber7 Diamond5.5–10 Salt3–15 Graphite10–15 Water 88, 80.1, 55.3, 34.5 (0, 20, 100, 200 °C) for visible light: 1.77 Importance of Dielectric constant Materials can be classified according to their Dielectric constant ε Natural materials (e.g. snow, ice, soil, vegetation...) are generally a mixture of materials that exhibit different dielectric characteristics (Sihvola and Kong, 1988 Natural materials (e.g. snow, ice, soil, vegetation...) are generally a mixture of materials that exhibit different dielectric characteristics (Sihvola and Kong, 1988 ) Relative Dielectric constant Water ice ε dependent on temperature 210 K [Mellon et al., 2004]

Chosen calibration area (84°N-82°N, 180°E-200°E) The area consists of primarily water-ice with a few percent dust The area consists of primarily water-ice with a few percent dust The radargrams show the minimum registered noise in Surface Power Echo The radargrams show the minimum registered noise in Surface Power Echo The choice is made over an area sufficiently flat The choice is made over an area sufficiently flat MOLA (Mars Orbiter Laser Altimeter) topographic data to estimate topographic parameters (Topothesys and Hurst) Spatial resolution 460 m smaller than SHARAD horizontal resolution (about 6 km).

where Backscattering coefficient at Nadir in case of fBm Sharad Data Model: Backscattering The backscattering is evaluated using the statistical parameters estimation along the orbit with the fractal theory for a monostatic radar configuration using the Mola data

two interfaces are considered, open space and surface with negligible local slope valuestwo interfaces are considered, open space and surface with negligible local slope values The second interface is supposed to be a homogeneous and non- dispersive rough mediumThe second interface is supposed to be a homogeneous and non- dispersive rough medium Hypotheses. where Due to the not ideal matched filter used in azimuth compression and to displacement sampling of data for operation mode used effective area at 3dB broadening factor estimated for linear polarizations Surface Power Echo in linear scale from the observation SS19 700A, low-pass filtered and weighted with linear least squares with a 2nd degree polynomial model Sharad Data Model: Hypotheses

Surface Relative Permittivity is evaluable from the inversion of Fresnel Equation The Calibration constant must be calculated over the whole records of the North Polar chosen Area Sharad Data Mode: Procedure

Sharad Calibration: Operational mode Four typical configurations SS04 SS05 SS11 SS19 SS04 SS05 SS11 SS19 All controls necessary for the operation of SHARAD are sent to the satellite by means of the OST (Operational Sequence Table): the PT (Parameter Table) the PT (Parameter Table) ODT (Orbital Data Table). ODT (Orbital Data Table). The OST contains instructions on the radar operation to perform. The OST contains instructions on the radar operation to perform. The PT contains all the operating parameters and engineering of The PT contains all the operating parameters and engineering ofSHARAD: Configuration Parameters Configuration Parameters The corrections to be applied to the signal are provided with data and are related with magnitude of it. Pixel cross section Orbit SS04 Orbit SS19 res.=0.5° Equator 30Km

Map of Mars Dielectric constant [res.=0.5°] Results: Map of the signal

Map of the Standard deviation Dielectric constant [res.=0.5°] Results: Maps of statistics Map of the ratio Standard deviation and Dielectric constant [res.=0.5°] Mean Global std=0.6

Results: Map of the signal Map of Mars Dielectric constant of possible presence ICE [res.=0.5°] ε ε ice ε = ε ice Global std

Map of the Standard deviation Dielectric constant for ICE Map of the Standard deviation Dielectric constant for ICE [res.=0.5°] Results: Map of statistics

Map of the Shallow Ice observe Map of the Shallow Ice observe [res.=0.5°] (measured in m.) Results: Map of Shallow ice

C.F. Chyba et al.,(1998)"Radar detectability of a subsurface ocean on Europa", Icarus 134, Results: Ice Model 140 K 300 K 140 K

Discussion of Results Map of Gamma Ray Spectrometer for Water Equivalent Abundance by Los Alamos Laboratory Presence of Hydrogen implies the presence of Water

The dielectric constant of the surface of Mars has been extracted from the echoes of the subsurface sounding radar SHARAD - the effects of surface roughness are modeled using the MOLA topographic dataset - The resulting information provides insight on the nature of the materials constituting the Martian surface -Of particular interest is the extraction form the general map of the area where the dielectric content could imply the presence of ice compared to the Hydrogen map Future - higher resolution of the Maps - test of other inter-calibration methods - Detailed Maps for Geological areas of interest Conclusions data Calibration Castaldo L., G. Alberti, G. Cirillo, R. Orosei, Scientific Calibration of Sharad Data over Martian Surface, SIGNAL PROCESSING SYMPOSIUM June 2013,, Jachranka Village, Poland, /13/S31.00 c 2013 IEEE /ISBN COPYRIGHT REG. NO. ISBN L. Castaldo et al, Calibration over North Polar Caps of SHARAD data, 2012 Geophysical Research Abstracts, Egu Wien April 2012, Vol. 14, EGU , EGU General Assembly 2012 ISSN

Thank you for your kind attention

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Calibration constant evaluation evaluation Extraction of surface power Low Noise Area Extraction Fractal Parameters Estimation Backscattering evaluation using fractal theoryCalibrationprocedure Calibration constant Extraction of surface power Choosing of the dataset to calibrate Sharad Level1b data Fractal Parameters Estimation Backscattering evaluation using fractal theory Dielectric constant estimation Calibrated Sharad Level2 data Calibration constant Dielectric constant Sharad Level1b data Sharad Calibration: Schematic Model

Flattest zone Ceberus Palus (CP) Rougher zone eastward (CP-N) northward (CP-E) Hill zone Zephira Palum (ZP-I, ZP-II and ZP-III) MOLA Digital Elevation Model (DEM) MOLA Laser altimeter Spatial resolution 460 m smaller than SHARAD horizontal resolution (about 6 km). Fractal parameters evaluation