scholarly journals DETECTING THE SOURCES OF ICE BLOCK FALLS AT THE MARTIAN NORTH POLAR SCARPS BY ANALYSIS OF MULTI-TEMPORAL HIRISE IMAGERY

2021 ◽  
Vol XLIII-B3-2021 ◽  
pp. 673-678
Author(s):  
S. Su ◽  
L. Fanara ◽  
X. Zhang ◽  
K. Gwinner ◽  
E. Hauber ◽  
...  
Keyword(s):  
High Resolution ◽  
Change Detection ◽  
Detection Method ◽  
High Resolution Imaging ◽  
Mass Wasting ◽  
Multi Temporal ◽  
Imaging Science ◽  
Resolution Imaging ◽  
North Polar ◽  
Integrated Software

Abstract. We have developed a method for automatically detecting the sources of ice block falls at the Martian north polar scarps. Multitemporal red-filter High Resolution Imaging Science Experiment (HiRISE) images were processed by using the open source NASA Ames Stereo Pipeline in combination with the USGS Integrated Software for Imagers and Spectrometers to produce 0.25 m resolution images as well as a 1 m resolution DTM. The multi-temporal HiRISE images were firstly ortho-rectified by the DTM, and then co-registered by using the Enhanced Correlation Coefficient Maximization (ECC) algorithm. We applied the change detection method on the well-aligned sub-meter scale HiRISE images, which were taken in Mars Year 29 and Mars Year 30, to investigate mass wasting at the scarp area centred at 85.0°N, 151.5°E. The idea of the change detection method is to identify changing shadow patterns based on the grayscale difference between the images. The final results show that erosion events occurred at the full length of this study’s scarp within one Mars Year. However, only the upper and lower part of the scarp show erosion activity, whereas the intermediate parts seem inactive, and this correlates with the slope.

scholarly journals Mars Reconnaissance Orbiter's High Resolution Imaging Science Experiment (HiRISE)

2007 ◽  
Vol 112 (E5) ◽  
Author(s):  
Alfred S. McEwen ◽  
Eric M. Eliason ◽  
James W. Bergstrom ◽  
Nathan T. Bridges ◽  
Candice J. Hansen ◽  
...  
Keyword(s):  
High Resolution ◽  
High Resolution Imaging ◽  
Imaging Science ◽  
Resolution Imaging

The High Resolution Imaging Science Experiment (HiRISE) during MRO’s Primary Science Phase (PSP)

Icarus ◽  
2010 ◽  
Vol 205 (1) ◽  
pp. 2-37 ◽  
Author(s):  
Alfred S. McEwen ◽  
Maria E. Banks ◽  
Nicole Baugh ◽  
Kris Becker ◽  
Aaron Boyd ◽  
...  
Keyword(s):  
High Resolution ◽  
Primary Science ◽  
High Resolution Imaging ◽  
Imaging Science ◽  
Resolution Imaging

scholarly journals MASS MOVEMENTS' DETECTION IN HIRISE IMAGES OF THE NORTH POLE OF MARS

2016 ◽  
Vol XLI-B4 ◽  
pp. 383-384
Author(s):  
L. Fanara ◽  
K. Gwinner ◽  
E. Hauber ◽  
J. Oberst
Keyword(s):  
Mass Movements ◽  
High Resolution Imaging ◽  
Detection Techniques ◽  
The North ◽  
Digital Terrain ◽  
Terrain Models ◽  
True Shape ◽  
Imaging Science ◽  
Resolution Imaging ◽  
North Polar

We are investigating change detection techniques to automatically detect mass movements at the steep north polar scarps of Mars, in order to improve our understanding of these dynamic processes. Here we focus on movements of blocks specifically. The precise detection of such small changes requires an accurate co-registration of the images, which is achieved by ortho-rectifying them using High Resolution Imaging Science Experiment (HiRISE) Digital Terrain Models (DTMs). Moreover, we deal with the challenge of deriving the true shape of the moved blocks. In a next step, these results are combined with findings based on HiRISE DTMs from different points in time in order to estimate the volume of mass movements.

Introduction to the High Resolution Imaging Science Experiment (HiRISE) Special Issue of Icarus

Icarus ◽  
2010 ◽  
Vol 205 (1) ◽  
pp. 1
Author(s):  
Kenneth E. Herkenhoff ◽  
Laszlo P. Keszthelyi ◽  
Alfred S. McEwen
Keyword(s):  
High Resolution ◽  
High Resolution Imaging ◽  
Special Issue ◽  
Imaging Science ◽  
Resolution Imaging

scholarly journals Sources of ice block falls at the Martian north polar scarps: detection from multi-temporal HiRISE image sets

2021 ◽  
Author(s):  
Shu Su ◽  
Lida Fanara ◽  
Xin Zhang ◽  
Klaus Gwinner ◽  
Ernst Hauber ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Digital Terrain Model ◽  
Time Of Day ◽  
Mass Wasting ◽  
Geophysical Research ◽  
Temporal And Spatial Distribution ◽  
Detection Techniques ◽  
Multi Temporal ◽  
Imaging Science ◽  
North Polar

<p>The North Polar Layered Deposits (NPLD), which consist of dusty water ice layers, have recorded the climatic variations of Mars. We use High Resolution Imaging Science Experiment (HiRISE) data (ground pixel size of up to ~0.25m/pixel) to study the morphology and current erosional processes at the NPLD scarps. Fanara et al. (1,2) have performed automated detection of the fallen ice blocks at the foot of scarps. Our aim is to search for their possible source areas.</p><p>We apply change detection techniques to multi-temporal images. The images are ortho-rectified using HiRISE Digital Terrain Model (DTM) and then co-registered to ensure subpixel alignment accuracy. Due to the low-sun conditions in Martian polar areas, the surface morphology can be revealed from cast shadows. In addition, HiRISE operates on a nearly sun-synchronous orbit, which means the images are taken at the same local time of day, providing good conditions for automatically detecting changes in shadow patterns of the ice-fragments.</p><p>The areas with changed shadows illustrate the spatial distribution of mass wasting activities. Our results show that most of the detached ice-fragments originate from the lower parts of the scarp, which are heavily affected by fracturing. Based on the detected changes, we will further investigate the characteristics of mass wasting and estimate the volume of the detached ice-fragments. The temporal and spatial distribution of detached ice fragments at different NPLD scarps can provide insights into the ice behavior and thus support modelling studies of viscous flow velocities (3), thermoelastic stresses (4) and climate variations of Mars. Ultimately, we intend to explore the evolution of the NPLD scarps by correlating long-term mass wasting characteristics with seasonal and morphological parameters.</p><p> </p><p>References</p><p>[1] Fanara et al.,2020. Planetary and Space Science. 180, p.104733.</p><p>[2] Fanara et al.,2020. Icarus. 342, p.113434.</p><p>[3] Sori et al., 2016. Geophysical Research Letters, 43(2), pp.541-549.</p><p>[4] Byrne et al., 2017. EPSC, Vol. 11.</p>

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