SlideShare a Scribd company logo
1 of 1
Download to read offline
Micro-relief and geometry of ice-wedge polygons in Adventdalen (Svalbard, Norway)
                                                                                                                              M. Lousada(1), M. Jorge(2), J. Saraiva(1,3), P. Pina(1), and G. Vieira(2)

                                                                                                     (1)Instituto   Superior Técnico, Lisboa, Portugal, (2)CEG / IGOT, Lisboa, Portugal, (3)UNIS, Longyearbyen, Norway
Research developed within the project ANAPOLIS (PTDC/CTE-SPA/099041/2008),funded by FCT (Portugal)




                                                                                                                                      INTRODUCTION
  Ice-wedge polygons mostly occur in flat areas, but they have also been found in slopes with gradients as high as 25°; in these cases, they are commonly elongated in the
  downward direction. However, even seemingly flat terrains exhibit small-scale topography; in this work, we conduct a detailed analysis of polygon shape in relation with micro-
  relief in a polygonal network in the Adventdalen valley, in Svalbard (Norway). In the frame of the ANAPOLIS (Analysis of Polygonal Terrains on Mars based on Earth Analogues)
  project, we have made two field campaigns to fully characterize an extensive polygonal network (with an area circa 40,000 m2) in this periglacial area in the Arctic (78° N).


                                                                                                                         METHODS                                                                                                        RESULTS                        Adventdalen Topographic map and ESRI Base Maps




       A FIELD SURVEYS                                                                                                          B DTM DERIVED FROM THE FIELD SURVEYS                                                                            85 % OF THE 163 POLYGONS HAVE A HIGHER
                                                                                                                                     A DTM was generated by interpolation from the 8166 (x,y,z) points gathered with the GPS in the              VERTICAL DISTANCE ALONG THE MAJOR AXIS
                                                                                                                                    course of the two campaigns. The delineation of polygons was achieved through analysis of aerial
                                                                                                                                    images combined with field information.
                                                                                                                                                                                                                                        Results point to an existing relation between the orientation of
                                                                            Two field campaigns were conducted, in 2010                                                                                                                 the major axis of polygons and that of the slope of the terrain; in
                                                                            and 2011. The precise location of points in the                                                                                                             other words, the distribution of major axis orientations follows
                                                                            field was determined through the use of a                                                                                                                   closely the distribution of slope gradients.
                                                                            GNSS-RTK geodetic system.                                                                                                                                                                                                    2
                                                                                                                                                                                                                                            1


         In the central area of the
         network, the contours of 121
         polygons were also surveyed.
         Coordinates were collected at                                                                                              The combination of all that information led to the construction of a detailed model of the micro-
         the centre of the troughs                                                                                                  topography in the central area of the network, covering 163 polygons. Thus, we can now
         separating adjacent polygons.                                                                                              evaluate the relation between geometry and micro-relief fluctuations for this set of low-centred
                                                                                                                                    polygons.

                                                                                                                                 C DETERMINING VERTICAL DISTANCES ALONG THE AXIS                                                        1) Box Plot                                                               3
                                                                                                                                                                                                                                        Shows higher Vertical Distance values for major axis.
         A gridded topographic survey was
         conducted by collecting x, y and z                                                                                                                                                  The methodology employed consisted         2) Quantile-Quantile Plot
         coordinates every 5 meters along                                                                                                                                                   in determining the lengths of major         Shows a marked difference between VDs for the two
                                                                                                                                                                                            and minor axes for the polygons in the      axes, again illustrating the fact that major axes
         parallel lines separated by 10 m.                                                                                                                                                                                              correspond to higher VDs
         This was complemented with the                                                                                                                                                     test area, while the elevation of the
         collection of more points in the                                                                                                                                                   terrain on both extremities of each axis    3) Density Plot
         areas between the lines.                                                                                                                                                           was obtained from the DTM.                  Density plot for Major and minor axis vertical
                                                                                                                                                                                                                                        distances density distributions. Several minor axis
                                                                                                                                                                                                                                        have less then 20 cm of vertical distance.



        The central part of the network
        was later subject to an even                                                                                                                                                                                                                                     CONCLUSION
        more        detailed   coverage.
        Approximately 150 polygons                                                                                                                                                                                                      It is often observed, on hillsides, that ice-wedge polygons
        were surveyed, and coordinates                                                                                                                                                                                                  are elongated in the direction of maximum slope. In this
        were collected also at several                                                                                           From this, the rise or Vertical Distance (VD), the                                                     work, the analysis of detailed and precise topographic data
        locations along the transversal                                                                                          difference in elevation between two points, was
        profile of troughs.
                                                                                                                                                                                                                                        suggests that the geometry of polygons, even in this rather
                                                                                                                                 calculated for the two axes of the polygons.
                                                                                                                                                                                                                                        smooth area, is not completely random, and that there is a
                                                                                                                                                                                                                                        statistically relevant connection to the existing micro-relief .

More Related Content

What's hot

Automated Extraction of Landforms from DEM Data
Automated Extraction of Landforms from DEM DataAutomated Extraction of Landforms from DEM Data
Automated Extraction of Landforms from DEM DataBob MacMillan
 
A simple pre-operational model for the portuguese coast
A simple pre-operational model for the portuguese coastA simple pre-operational model for the portuguese coast
A simple pre-operational model for the portuguese coastgriflet
 
Critical Water Resource Monitoring - Sana´a Basin / Yemen
Critical Water Resource Monitoring - Sana´a Basin / YemenCritical Water Resource Monitoring - Sana´a Basin / Yemen
Critical Water Resource Monitoring - Sana´a Basin / YemenGlobal Risk Forum GRFDavos
 
Gps geodetic cors
Gps geodetic corsGps geodetic cors
Gps geodetic corsAlam survey
 
Applied Geospatial Sciences Assignment
Applied Geospatial Sciences AssignmentApplied Geospatial Sciences Assignment
Applied Geospatial Sciences AssignmentJoshua Brunsdon
 
Isprsarchives xl-7-w3-897-2015
Isprsarchives xl-7-w3-897-2015Isprsarchives xl-7-w3-897-2015
Isprsarchives xl-7-w3-897-2015bayrmgl
 
Aster vnir & swir band enhancement for lithological mapping a case study of...
Aster vnir & swir band enhancement for lithological mapping   a case study of...Aster vnir & swir band enhancement for lithological mapping   a case study of...
Aster vnir & swir band enhancement for lithological mapping a case study of...Alexander Decker
 
Vrancea1 cor 6 6 2016 (2)
Vrancea1 cor 6 6 2016 (2)Vrancea1 cor 6 6 2016 (2)
Vrancea1 cor 6 6 2016 (2)MGU
 
THE IMPORTANCE OF SAMPLING FOR THE EFFICIENCY OF ARTIFICIAL NEURAL NETWORKS I...
THE IMPORTANCE OF SAMPLING FOR THE EFFICIENCY OF ARTIFICIAL NEURAL NETWORKS I...THE IMPORTANCE OF SAMPLING FOR THE EFFICIENCY OF ARTIFICIAL NEURAL NETWORKS I...
THE IMPORTANCE OF SAMPLING FOR THE EFFICIENCY OF ARTIFICIAL NEURAL NETWORKS I...Ricardo Brasil
 
Satellite Image Based Mapping of Wetland Tundra Landscapes Using ILWIS GIS
Satellite Image Based Mapping of Wetland Tundra Landscapes Using ILWIS GISSatellite Image Based Mapping of Wetland Tundra Landscapes Using ILWIS GIS
Satellite Image Based Mapping of Wetland Tundra Landscapes Using ILWIS GISUniversität Salzburg
 
Using Artificial Neural Networks for Digital Soil Mapping – a comparison of M...
Using Artificial Neural Networks for Digital Soil Mapping – a comparison of M...Using Artificial Neural Networks for Digital Soil Mapping – a comparison of M...
Using Artificial Neural Networks for Digital Soil Mapping – a comparison of M...Ricardo Brasil
 
[Geog_3080_Assignment 4]Terrain Mapping Report_Richmond Ho Shing Yu (T00017284)
[Geog_3080_Assignment 4]Terrain Mapping Report_Richmond Ho Shing Yu (T00017284)[Geog_3080_Assignment 4]Terrain Mapping Report_Richmond Ho Shing Yu (T00017284)
[Geog_3080_Assignment 4]Terrain Mapping Report_Richmond Ho Shing Yu (T00017284)Richmond Ho Shing Yu
 
Structural interpretation of abakiliki – ugep, using
Structural interpretation of abakiliki – ugep, usingStructural interpretation of abakiliki – ugep, using
Structural interpretation of abakiliki – ugep, usingAlexander Decker
 
IGARSS2011-Villa.ppt
IGARSS2011-Villa.pptIGARSS2011-Villa.ppt
IGARSS2011-Villa.pptgrssieee
 

What's hot (19)

Automated Extraction of Landforms from DEM Data
Automated Extraction of Landforms from DEM DataAutomated Extraction of Landforms from DEM Data
Automated Extraction of Landforms from DEM Data
 
A simple pre-operational model for the portuguese coast
A simple pre-operational model for the portuguese coastA simple pre-operational model for the portuguese coast
A simple pre-operational model for the portuguese coast
 
Critical Water Resource Monitoring - Sana´a Basin / Yemen
Critical Water Resource Monitoring - Sana´a Basin / YemenCritical Water Resource Monitoring - Sana´a Basin / Yemen
Critical Water Resource Monitoring - Sana´a Basin / Yemen
 
Mid-Term Seminar
Mid-Term SeminarMid-Term Seminar
Mid-Term Seminar
 
Gps geodetic cors
Gps geodetic corsGps geodetic cors
Gps geodetic cors
 
VO Course 11: Spatial indexing
VO Course 11: Spatial indexingVO Course 11: Spatial indexing
VO Course 11: Spatial indexing
 
Semester End Seminar
Semester End SeminarSemester End Seminar
Semester End Seminar
 
Applied Geospatial Sciences Assignment
Applied Geospatial Sciences AssignmentApplied Geospatial Sciences Assignment
Applied Geospatial Sciences Assignment
 
Isprsarchives xl-7-w3-897-2015
Isprsarchives xl-7-w3-897-2015Isprsarchives xl-7-w3-897-2015
Isprsarchives xl-7-w3-897-2015
 
Kibby Basin, Nevada "LITHIUM PROJECT" Geophysical Review
Kibby Basin, Nevada "LITHIUM PROJECT"  Geophysical ReviewKibby Basin, Nevada "LITHIUM PROJECT"  Geophysical Review
Kibby Basin, Nevada "LITHIUM PROJECT" Geophysical Review
 
M.Tech Final Seminar
M.Tech Final SeminarM.Tech Final Seminar
M.Tech Final Seminar
 
Aster vnir & swir band enhancement for lithological mapping a case study of...
Aster vnir & swir band enhancement for lithological mapping   a case study of...Aster vnir & swir band enhancement for lithological mapping   a case study of...
Aster vnir & swir band enhancement for lithological mapping a case study of...
 
Vrancea1 cor 6 6 2016 (2)
Vrancea1 cor 6 6 2016 (2)Vrancea1 cor 6 6 2016 (2)
Vrancea1 cor 6 6 2016 (2)
 
THE IMPORTANCE OF SAMPLING FOR THE EFFICIENCY OF ARTIFICIAL NEURAL NETWORKS I...
THE IMPORTANCE OF SAMPLING FOR THE EFFICIENCY OF ARTIFICIAL NEURAL NETWORKS I...THE IMPORTANCE OF SAMPLING FOR THE EFFICIENCY OF ARTIFICIAL NEURAL NETWORKS I...
THE IMPORTANCE OF SAMPLING FOR THE EFFICIENCY OF ARTIFICIAL NEURAL NETWORKS I...
 
Satellite Image Based Mapping of Wetland Tundra Landscapes Using ILWIS GIS
Satellite Image Based Mapping of Wetland Tundra Landscapes Using ILWIS GISSatellite Image Based Mapping of Wetland Tundra Landscapes Using ILWIS GIS
Satellite Image Based Mapping of Wetland Tundra Landscapes Using ILWIS GIS
 
Using Artificial Neural Networks for Digital Soil Mapping – a comparison of M...
Using Artificial Neural Networks for Digital Soil Mapping – a comparison of M...Using Artificial Neural Networks for Digital Soil Mapping – a comparison of M...
Using Artificial Neural Networks for Digital Soil Mapping – a comparison of M...
 
[Geog_3080_Assignment 4]Terrain Mapping Report_Richmond Ho Shing Yu (T00017284)
[Geog_3080_Assignment 4]Terrain Mapping Report_Richmond Ho Shing Yu (T00017284)[Geog_3080_Assignment 4]Terrain Mapping Report_Richmond Ho Shing Yu (T00017284)
[Geog_3080_Assignment 4]Terrain Mapping Report_Richmond Ho Shing Yu (T00017284)
 
Structural interpretation of abakiliki – ugep, using
Structural interpretation of abakiliki – ugep, usingStructural interpretation of abakiliki – ugep, using
Structural interpretation of abakiliki – ugep, using
 
IGARSS2011-Villa.ppt
IGARSS2011-Villa.pptIGARSS2011-Villa.ppt
IGARSS2011-Villa.ppt
 

Similar to Micro-relief and polygon geometry

Narrow Band Active Contour
Narrow Band Active ContourNarrow Band Active Contour
Narrow Band Active ContourMohammad Sabbagh
 
The Population of the Galactic Center Filaments: Position Angle Distribution ...
The Population of the Galactic Center Filaments: Position Angle Distribution ...The Population of the Galactic Center Filaments: Position Angle Distribution ...
The Population of the Galactic Center Filaments: Position Angle Distribution ...Sérgio Sacani
 
Mapping of the_extinction_in_giant_molecular_clouds_using_optical_star_counts
Mapping of the_extinction_in_giant_molecular_clouds_using_optical_star_countsMapping of the_extinction_in_giant_molecular_clouds_using_optical_star_counts
Mapping of the_extinction_in_giant_molecular_clouds_using_optical_star_countsSérgio Sacani
 
2012. Ice-wedge polygons geodatabase - poster
2012. Ice-wedge polygons geodatabase - poster2012. Ice-wedge polygons geodatabase - poster
2012. Ice-wedge polygons geodatabase - posterMarco Jorge
 
Covariance models for geodetic applications of collocation brief version
Covariance models for geodetic applications of collocation  brief versionCovariance models for geodetic applications of collocation  brief version
Covariance models for geodetic applications of collocation brief versionCarlo Iapige De Gaetani
 
1002 THE LEADING EDGE AUGUST 2007
1002 THE LEADING EDGE AUGUST 20071002 THE LEADING EDGE AUGUST 2007
1002 THE LEADING EDGE AUGUST 2007Maria Pessoa
 
Narayan Shrestha [ACCURACY OF X-BAND LOCAL AREA WEATHER RADAR (LAWR) OF LEUVE...
Narayan Shrestha [ACCURACY OF X-BAND LOCAL AREA WEATHER RADAR (LAWR) OF LEUVE...Narayan Shrestha [ACCURACY OF X-BAND LOCAL AREA WEATHER RADAR (LAWR) OF LEUVE...
Narayan Shrestha [ACCURACY OF X-BAND LOCAL AREA WEATHER RADAR (LAWR) OF LEUVE...Narayan Shrestha
 
ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...
ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...
ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...adrianocamps
 
D41037045
D41037045D41037045
D41037045inventy
 
Hydrological mapping of the vegetation using remote sensing products
Hydrological mapping of the vegetation using remote sensing productsHydrological mapping of the vegetation using remote sensing products
Hydrological mapping of the vegetation using remote sensing productsNycoSat
 
Mapping the anthropic backfill of the historical center of Rome (Italy) by us...
Mapping the anthropic backfill of the historical center of Rome (Italy) by us...Mapping the anthropic backfill of the historical center of Rome (Italy) by us...
Mapping the anthropic backfill of the historical center of Rome (Italy) by us...Beniamino Murgante
 
WARRP Seismology: Better Imaging Under Earth
WARRP Seismology: Better Imaging Under EarthWARRP Seismology: Better Imaging Under Earth
WARRP Seismology: Better Imaging Under EarthAli Osman Öncel
 
Integral field spectroscopy
Integral field spectroscopyIntegral field spectroscopy
Integral field spectroscopyFernando Reche
 
Zwaan Eage 2004 V3
Zwaan Eage 2004 V3Zwaan Eage 2004 V3
Zwaan Eage 2004 V3Marcel Zwaan
 
A weak lensing_mass_reconstruction_of _the_large_scale_filament_massive_galax...
A weak lensing_mass_reconstruction_of _the_large_scale_filament_massive_galax...A weak lensing_mass_reconstruction_of _the_large_scale_filament_massive_galax...
A weak lensing_mass_reconstruction_of _the_large_scale_filament_massive_galax...Sérgio Sacani
 
YellowIGARSS.ppt
YellowIGARSS.pptYellowIGARSS.ppt
YellowIGARSS.pptgrssieee
 
DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONS
DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONSDUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONS
DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONSjantjournal
 

Similar to Micro-relief and polygon geometry (20)

Narrow Band Active Contour
Narrow Band Active ContourNarrow Band Active Contour
Narrow Band Active Contour
 
The Population of the Galactic Center Filaments: Position Angle Distribution ...
The Population of the Galactic Center Filaments: Position Angle Distribution ...The Population of the Galactic Center Filaments: Position Angle Distribution ...
The Population of the Galactic Center Filaments: Position Angle Distribution ...
 
Mapping of the_extinction_in_giant_molecular_clouds_using_optical_star_counts
Mapping of the_extinction_in_giant_molecular_clouds_using_optical_star_countsMapping of the_extinction_in_giant_molecular_clouds_using_optical_star_counts
Mapping of the_extinction_in_giant_molecular_clouds_using_optical_star_counts
 
2012. Ice-wedge polygons geodatabase - poster
2012. Ice-wedge polygons geodatabase - poster2012. Ice-wedge polygons geodatabase - poster
2012. Ice-wedge polygons geodatabase - poster
 
Covariance models for geodetic applications of collocation brief version
Covariance models for geodetic applications of collocation  brief versionCovariance models for geodetic applications of collocation  brief version
Covariance models for geodetic applications of collocation brief version
 
1002 THE LEADING EDGE AUGUST 2007
1002 THE LEADING EDGE AUGUST 20071002 THE LEADING EDGE AUGUST 2007
1002 THE LEADING EDGE AUGUST 2007
 
Narayan Shrestha [ACCURACY OF X-BAND LOCAL AREA WEATHER RADAR (LAWR) OF LEUVE...
Narayan Shrestha [ACCURACY OF X-BAND LOCAL AREA WEATHER RADAR (LAWR) OF LEUVE...Narayan Shrestha [ACCURACY OF X-BAND LOCAL AREA WEATHER RADAR (LAWR) OF LEUVE...
Narayan Shrestha [ACCURACY OF X-BAND LOCAL AREA WEATHER RADAR (LAWR) OF LEUVE...
 
ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...
ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...
ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...
 
M31 velocity vector
M31 velocity vectorM31 velocity vector
M31 velocity vector
 
D41037045
D41037045D41037045
D41037045
 
Surface Wave Tomography
Surface Wave TomographySurface Wave Tomography
Surface Wave Tomography
 
Surface Wave Tomography
Surface Wave TomographySurface Wave Tomography
Surface Wave Tomography
 
Hydrological mapping of the vegetation using remote sensing products
Hydrological mapping of the vegetation using remote sensing productsHydrological mapping of the vegetation using remote sensing products
Hydrological mapping of the vegetation using remote sensing products
 
Mapping the anthropic backfill of the historical center of Rome (Italy) by us...
Mapping the anthropic backfill of the historical center of Rome (Italy) by us...Mapping the anthropic backfill of the historical center of Rome (Italy) by us...
Mapping the anthropic backfill of the historical center of Rome (Italy) by us...
 
WARRP Seismology: Better Imaging Under Earth
WARRP Seismology: Better Imaging Under EarthWARRP Seismology: Better Imaging Under Earth
WARRP Seismology: Better Imaging Under Earth
 
Integral field spectroscopy
Integral field spectroscopyIntegral field spectroscopy
Integral field spectroscopy
 
Zwaan Eage 2004 V3
Zwaan Eage 2004 V3Zwaan Eage 2004 V3
Zwaan Eage 2004 V3
 
A weak lensing_mass_reconstruction_of _the_large_scale_filament_massive_galax...
A weak lensing_mass_reconstruction_of _the_large_scale_filament_massive_galax...A weak lensing_mass_reconstruction_of _the_large_scale_filament_massive_galax...
A weak lensing_mass_reconstruction_of _the_large_scale_filament_massive_galax...
 
YellowIGARSS.ppt
YellowIGARSS.pptYellowIGARSS.ppt
YellowIGARSS.ppt
 
DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONS
DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONSDUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONS
DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONS
 

Micro-relief and polygon geometry

  • 1. Micro-relief and geometry of ice-wedge polygons in Adventdalen (Svalbard, Norway) M. Lousada(1), M. Jorge(2), J. Saraiva(1,3), P. Pina(1), and G. Vieira(2) (1)Instituto Superior Técnico, Lisboa, Portugal, (2)CEG / IGOT, Lisboa, Portugal, (3)UNIS, Longyearbyen, Norway Research developed within the project ANAPOLIS (PTDC/CTE-SPA/099041/2008),funded by FCT (Portugal) INTRODUCTION Ice-wedge polygons mostly occur in flat areas, but they have also been found in slopes with gradients as high as 25°; in these cases, they are commonly elongated in the downward direction. However, even seemingly flat terrains exhibit small-scale topography; in this work, we conduct a detailed analysis of polygon shape in relation with micro- relief in a polygonal network in the Adventdalen valley, in Svalbard (Norway). In the frame of the ANAPOLIS (Analysis of Polygonal Terrains on Mars based on Earth Analogues) project, we have made two field campaigns to fully characterize an extensive polygonal network (with an area circa 40,000 m2) in this periglacial area in the Arctic (78° N). METHODS RESULTS Adventdalen Topographic map and ESRI Base Maps A FIELD SURVEYS B DTM DERIVED FROM THE FIELD SURVEYS 85 % OF THE 163 POLYGONS HAVE A HIGHER A DTM was generated by interpolation from the 8166 (x,y,z) points gathered with the GPS in the VERTICAL DISTANCE ALONG THE MAJOR AXIS course of the two campaigns. The delineation of polygons was achieved through analysis of aerial images combined with field information. Results point to an existing relation between the orientation of Two field campaigns were conducted, in 2010 the major axis of polygons and that of the slope of the terrain; in and 2011. The precise location of points in the other words, the distribution of major axis orientations follows field was determined through the use of a closely the distribution of slope gradients. GNSS-RTK geodetic system. 2 1 In the central area of the network, the contours of 121 polygons were also surveyed. Coordinates were collected at The combination of all that information led to the construction of a detailed model of the micro- the centre of the troughs topography in the central area of the network, covering 163 polygons. Thus, we can now separating adjacent polygons. evaluate the relation between geometry and micro-relief fluctuations for this set of low-centred polygons. C DETERMINING VERTICAL DISTANCES ALONG THE AXIS 1) Box Plot 3 Shows higher Vertical Distance values for major axis. A gridded topographic survey was conducted by collecting x, y and z The methodology employed consisted 2) Quantile-Quantile Plot coordinates every 5 meters along in determining the lengths of major Shows a marked difference between VDs for the two and minor axes for the polygons in the axes, again illustrating the fact that major axes parallel lines separated by 10 m. correspond to higher VDs This was complemented with the test area, while the elevation of the collection of more points in the terrain on both extremities of each axis 3) Density Plot areas between the lines. was obtained from the DTM. Density plot for Major and minor axis vertical distances density distributions. Several minor axis have less then 20 cm of vertical distance. The central part of the network was later subject to an even CONCLUSION more detailed coverage. Approximately 150 polygons It is often observed, on hillsides, that ice-wedge polygons were surveyed, and coordinates are elongated in the direction of maximum slope. In this were collected also at several From this, the rise or Vertical Distance (VD), the work, the analysis of detailed and precise topographic data locations along the transversal difference in elevation between two points, was profile of troughs. suggests that the geometry of polygons, even in this rather calculated for the two axes of the polygons. smooth area, is not completely random, and that there is a statistically relevant connection to the existing micro-relief .