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Radiant Solutions Proprietary and Business Confidential Evaluation and Comparison of Global DSMs JACIE Workshop 2018 10/10/2018 [email protected] September 19, 2018

Evaluation and Comparison of Global DSMs JACIE Workshop 2018 · Radiant Solutions Proprietary and Business Confidential DSMs for Different Applications •TFRM is specifically optimized

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Page 1: Evaluation and Comparison of Global DSMs JACIE Workshop 2018 · Radiant Solutions Proprietary and Business Confidential DSMs for Different Applications •TFRM is specifically optimized

Radiant Solutions Proprietary and Business Confidential

Evaluation and Comparison of Global DSMs

JACIE Workshop 2018

10/10/2018

[email protected] 19, 2018

Page 2: Evaluation and Comparison of Global DSMs JACIE Workshop 2018 · Radiant Solutions Proprietary and Business Confidential DSMs for Different Applications •TFRM is specifically optimized

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Objective

• Internal, Maxar wide, need to understand:• Which DEM to use.

• Accuracy of different DSMs.

• Applicability of different DSMs.

• Several versions of SRTM available.

• Latest DSMs:• TFRM v4

• GDEM v3

• TanDEM-x

10/10/2018Comparison of Global DSMs2

Page 3: Evaluation and Comparison of Global DSMs JACIE Workshop 2018 · Radiant Solutions Proprietary and Business Confidential DSMs for Different Applications •TFRM is specifically optimized

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DSMs, Release Dates, and Sources

• SRTM• SRTMGL1 (~2006) – USGS• NASADEM (2018) – JPL/Caltech• TFRMv4 (2018) – NGA

• TERRain Adjusted For ORthoMosaics (TERRAFORM)• Includes more than SRTM.

• DG_SRTM - void filled from SRTMGL1, limited DG editing < 1%.

• AW3D30 v2.1 (4/2018) - ALOS PRISM, JAXA• Additional void fill and partial in-swath variation correction relative to v1.1 (2017).

• GDEMv2 (2011) - ASTER, METI/NASA• Improved GDEMv3 available late 2018.

• ArcticDEM release 6 (2017) - WorldView, NGA-NSF-UMN PGC• Reprojected from Polar Stereographic and averaged from 5 m.• Converted to MSL using EGM2008.

• Reference Elevation Model of Antarctica (REMA) - WorldView, NGA-NSF-UMN PGC

10/10/2018Comparison of Global DSMs3

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VRICON DSM Used as Reference

• VRICON DSM (2015-present) - Worldview• Not a global DSM yet.

• Completely independent from other DSMs and their control.

• Reprojected from UTM and averaged from 50 cm.

• Converted to MSL using EGM2008.

10/10/2018Comparison of Global DSMs4

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ICESat GLAS Used as Reference

• Ice, Cloud,and land Elevation Satellite (ICESat)

• the Geoscience Laser Altimeter System (GLAS)• Laser pulses 40 times a second.• Illuminates a 70 meter spot.• 170 meter intervals along the orbit path.

• GLAS measurements used were selected land elevations (d_elev) without clouds/cloud contamination, and pass other validity tests.• d_elev is the surface elevation after instrument corrections, atmospheric delays and

tides have been applied.• 162m valid points were subset from the 427m land elevation measurements.• The selected points were nearest gridded at 10 arcsec, ~300m, a little coarser than the

along track interval.

• GLAS d_elev may be closer to the ground than elevations derived from optical or InSAR.

10/10/2018Comparison of Global DSMs5

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Source Data Currency

• DSM currency can be an issue in these areas:• Surface mines and other earth moving.• Man made structures: either new or demolished.• Land slides.• De/Re-forestation.• Ice/glaciers.

• DSM source dates:• VRICON - 2007 to present.• ArcticDEM -2010 to present.• AW3D30 - 1/2006 to 4/2011 (filled with SRTM).• GDEM - 2000 to 2011.• SRTM - 2/2000 (oldest).• TFRM - SRTM and other sources.• ICESat GLAS - 2003 to 2009.• REMA - 2010 to present

10/10/2018Comparison of Global DSMs6

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Elevation Differences

• Different canopy and vegetation penetration of laser, radar, optical.

• Different methods:• Stereophotogrammetry

• ALOS PRISM AW3D

• ASTER GDEM

• ArcticDEM

• REMA

• VRICON

• InSAR• SRTM both C and X band.

• TanDEM-X.

• Laser-ranging• ICESat GDEM

10/10/2018Comparison of Global DSMs7

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DSMs for Different Applications

• TFRM is specifically optimized for orthorectification.

• Different processing and filtering may be required for different applications.

• Absolute accuracy may be more important than other factors for some applications.

• Drainage monotonicity is a requirement for hydrologic analysis.• DTM is required.

• Non of these DSMs are acceptable.

• Terrain analysis:• Requires DTM.

• Can be approximated with DSM.

10/10/2018Comparison of Global DSMs8

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ArcticDEM

10/10/2018Comparison of Global DSMs9

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SRTMGL1

10/10/2018Comparison of Global DSMs10

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DG_SRTM

10/10/2018Comparison of Global DSMs11

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NASADEM

10/10/2018Comparison of Global DSMs12

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AW3D30

10/10/2018Comparison of Global DSMs13

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GDEM

10/10/2018Comparison of Global DSMs14

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TFRM

10/10/2018Comparison of Global DSMs15

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½ Arcmin Interpolated ICESat GLAS

10/10/2018Comparison of Global DSMs16

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10 Arcsec Gridded ICESat GLAS, South Africa

10/10/2018Comparison of Global DSMs17

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Compared to ICESat GLAS

Absolute Accuracy

Comparison of Global DSMs18

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SRTMGL1-GLAS, 10 Arcsecond Resolution

10/10/2018Comparison of Global DSMs19

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NASADEM-GLAS

10/10/2018Comparison of Global DSMs20

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TFRM-GLAS

10/10/2018Comparison of Global DSMs21

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AW3D30-GLAS

10/10/2018Comparison of Global DSMs22

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GDEM-GLAS

10/10/2018Comparison of Global DSMs23

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ArcticDEM-GLAS

10/10/2018Comparison of Global DSMs24

Page 25: Evaluation and Comparison of Global DSMs JACIE Workshop 2018 · Radiant Solutions Proprietary and Business Confidential DSMs for Different Applications •TFRM is specifically optimized

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Statistic Sample Locations

10/10/2018Comparison of Global DSMs25

5.00

10.00

15.00

20.00

25.00

30.00

Greenland Antarctica Globe including>±60°

North America>60°

Europe/Asia>60°

N60 to S60 Central Russia Himalayas Midwestern US Amazon Northern Africa(arid)

Central Africa(Congo)

Eastern Europe

AW3D.tif GDEMv2.tif NASADEM.tif TFRMv4.tif

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Mean Elevation Difference by Region Relative to GLAS

10/10/2018Comparison of Global DSMs26

-4

-3

-2

-1

0

1

2

3

4

Antarctica Greenland Globe Amazon North Africa Central Africa N60° to S60° Central US Himalayas NorthernRussia

EasternEurope

CentralAustralia

NorthAmerica +60°

Europe andAsia +60°

Met

ers

Mea

n E

rro

r R

elat

ive

to G

LAS

ArcticDEM

AW3D

GDEMv2

NASADEM

TFRMv4

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Elevation RMSE by Region Relative to GLAS (log scale)

10/10/2018Comparison of Global DSMs27

4

40

400

Antarctica Greenland Globe Europe andAsia +60°

Himalayas NorthAmerica +60°

North Africa CentralAfrica

N60° to S60° NorthernRussia

Amazon EasternEurope

Central US CentralAustralia

Met

ers

RM

SE R

elat

ive

to G

LAS

(lo

g sc

ale)

ArcticDEM

AW3D

GDEMv2

NASADEM

TFRMv4

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Elevation RMSE by Region Relative to GLAS

10/10/2018Comparison of Global DSMs28

0

5

10

15

20

25

30

35

40

Antarctica Greenland Globe Europe andAsia +60°

Himalayas NorthAmerica +60°

North Africa CentralAfrica

N60° to S60° NorthernRussia

Amazon EasternEurope

Central US CentralAustralia

Met

ers

RM

SE R

elat

ive

to G

LAS

(lo

g sc

ale)

ArcticDEM

AW3D

GDEMv2

NASADEM

TFRMv4

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Number of Samples

10/10/2018Comparison of Global DSMs29

• Does number of samples significantly affect the statistics?

• Central Africa • Fewer GLAS observations as a result of:

• Predominantly clouded area.

• Widest orbit separation at the Equator.

• The mean-error-graph may show an inconsistency.

Minimum # of Samples Region

5642 Central Africa

57076 Eastern Europe

62734 Amazon

107725 North Africa

110822 Central US

111245 Himalayas

137147 Northern Russia

227315 Central Australia

289705 Antarctica

675667 North America +60°

845519 Greenland

1243748 Europe and Asia +60°

8152502 N60° to S60°

13162730 Globe

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Radiant Solutions Proprietary and Business ConfidentialRadiant Solutions Proprietary and Business Confidential10/10/2018

DSM Artifacts

Comparison of Global DSMs30

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TFRM and AW3D30 Elevation Artifact 59° & 60° North

10/10/2018Comparison of Global DSMs31

AW3D

TFRM

GLAS Delta

DSM Data GDEM Delta

AW3D-TFRM

59° North

60° North

60° North

59° North

<6m jump

<8m jump

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DSM Mean Error by Latitude, Eastern Hemisphere

10/10/2018Comparison of Global DSMs32

-8

-6

-4

-2

0

2

4

Met

ers

Mea

n E

rro

r R

elat

ive

to G

LAS

One Degree Latitude Zones (65k to 107k samples per zone)SRTMGL1 and DG_SRTM identical to TFRM <60°

ArcticDEM

AW3D

GDEMv2

NASADEM

TFRMv4

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DSM Mean Error by Latitude, Northern Russia

10/10/2018Comparison of Global DSMs33

-9

-7

-5

-3

-1

1

3

5

7

Met

ers

Mea

n E

rro

r R

elat

ive

to G

LAS

One Degree Latitude ZonesSRTMGL1 and DG_SRTM identical to TFRM <60°

ArcticDEM

AW3D30

GDEM

NASADEM

TFRM

Page 34: Evaluation and Comparison of Global DSMs JACIE Workshop 2018 · Radiant Solutions Proprietary and Business Confidential DSMs for Different Applications •TFRM is specifically optimized

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DSM RMSE by Latitude, Eastern Hemisphere

10/10/2018Comparison of Global DSMs34

10

12

14

16

18

20

22

24

26

28

30

Met

ers

RM

SE R

elat

ive

to G

LAS

One Degree Latitude Zones Zones (65k to 107k samples per zone)SRTMGL1 and DG_SRTM identical to TFRM <60°

ArcticDEM

AW3D

GDEMv2

NASADEM

TFRMv4

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GDEM Elevation Variation, Northern Australia

10/10/2018Comparison of Global DSMs35

• Red transect: Low frequency orbit track elevation oscillation, ~12 m amplitude, ~1053 arcsec frequency.

• Green transect: Track to track elevation variation, ~30m max.

• Blue rectangle: Subscene for next slide.

GDEM-NASADEM

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GDEM Elevation Variation, Northern Australia

10/10/2018Comparison of Global DSMs36

Higher frequency orbit path elevation oscillation:~8 m amplitude~142 arcsec frequency

Elevation transect for the red line below.

GDEM-NASADEM

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GDEM Shifted Latitude Band

10/10/2018Comparison of Global DSMs37

GDEM-TFRM. or other DSM, shows a latitude band 2.5°N to 4°N with ~<20 m discontinuity.

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AW3D30 In-Swath Variation, Northern Australia

10/10/2018Comparison of Global DSMs38

• ~4m amplitude within swath variation.

• Elevation profile for the red line normal to the swath/orbit is shown below.

• AW3D30 version 2.1 has corrected Northwestern Eurasia and parts of Africa for this artifact. JAXA continues to work on other areas for future releases.

AW3D30 - TFRM

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NASADEM Swath Striping, Northwest Africa

10/10/2018Comparison of Global DSMs39

NASADEM - AW3D30 SRTMGL1 - AW3D30 NASADEM - SRTMGL1

Shows SRTM path striping. Does not showSRTM path striping.

Shows SRTM path striping.Largest shift ~5m.

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NASADEM Swath Striping, Australia , 10 Arcsec Res.

10/10/2018Comparison of Global DSMs40

NASADEM - AW3D30 SRTMGL1 - AW3D30 NASADEM - SRTMGL1

Shows SRTM swath striping. Does not showSRTM swath striping.

Shows SRTM swath striping.Largest shift ~3m.

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TFRM-NASADEM, Antenna Oscillation Correction

10/10/2018Comparison of Global DSMs41

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AW3D30-TFRM, Pre Antenna Oscillation Correction

10/10/2018Comparison of Global DSMs42

Low frequency orbit related patterns removed.

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AW3D30-NASADEM, Post Antenna Oscillation Correction

10/10/2018Comparison of Global DSMs43

Low frequency orbit related patterns removed.Some antenna oscillations remain.

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TFRM Fill from GDEM Shifted ~-30 m

10/10/2018Comparison of Global DSMs44

TFRM - ArcticDEMNorth America >60°

TFRM - ArcticDEMNorth Asia >60°

TFRM Elevations

All dark patches are areas filled with GDEM.

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TFRM Geocell N27E085 Inconsistent

10/10/2018Comparison of Global DSMs45

TFRM - AW3D30 TFRM - NASADEM

TFRM - GLAS

TFRM - GLAS

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TFRM Alaska

10/10/2018Comparison of Global DSMs46

TFRM - AW3D30 TFRM - GLASTFRM - ArcticDEM TFRM - GDEM

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Resolution

Comparison of Global DSMs47

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DEM Comparison

10/10/2018Comparison of Global DSMs48

VRICON AW3D30

TFRM SRTMGL1

GDEM

NASADEM

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AW3D30 Reduced from 5 m

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VRICON Reduced from 50 cm

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TFRM

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NASADEM

10/10/2018Comparison of Global DSMs52

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SRTMGL1

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GDEM

10/10/2018Comparison of Global DSMs54

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N 29° 25’ E 96° 17’

Mountainous Void Areas

Comparison of Global DSMs55

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NASADEM No Void Fill

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SRTMGL1

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AW3D30

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NASADEM

10/10/2018Comparison of Global DSMs59

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TFRM

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GDEM

10/10/2018Comparison of Global DSMs61

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N 27° 50’ E 92° 36’

Mountainous Void Areas

Comparison of Global DSMs62

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NASADEM No Void Fill

10/10/2018Comparison of Global DSMs63

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SRTMGL1

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AW3D30

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NASADEM

10/10/2018Comparison of Global DSMs66

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TFRM

10/10/2018Comparison of Global DSMs67

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GDEM

10/10/2018Comparison of Global DSMs68

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Conclusions

• GDEM• Largest absolute error.• Largest systematic errors.• Contains some holes >±60°.

• AW3D30• Second largest systematic errors: ~4m within

swath variation.• Better resolution than SRTM or GDEM.• May be the best global DSM after removal of

systematic errors.• Plan to use ArcticDEM >60° North.

• NASADEM• Best absolute accuracy <±60°.• Minimized voids with new InSAR processing. • Somewhat better SRTM void fill using adjusted

GDEMv3.• Introduces <5m orbit to orbit inconsistencies.• Only partial correction of antenna oscillation.• Do not use n60*.hgt tiles. These tiles are

inconsistent with those south of 60° North.

• TFRM• Only complete global coverage.• uniform global dataset.• Alaska and North of 60°, have some large errors <30m.

• ArcticDEM• Best quality, accuracy, and resolution for Greenland,

Alaska, Kamchatka, and North of 60°.• Many holes remain.

• SRTMGL1 and DG_SRTM are ~equivalent, somewhat poorer subsets of TFRM.

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Recommendations

• Use TFRM:• Globally for orthorectification.

• Particularly for moderate resolution products.

• Use ArcticDEM where available in future TFRM versions.

• Correct GDEM fill elevation offset.

• Use ArcticDEM:• Where available for small AOIs.

• Avoid hole areas or delta surface fill with:• AW3D30 south of 82° where available?

• GDEM/TFRM elsewhere.

• Use AW3D30:• Only south of +59° to -60°.

• For small AOIs that can benefit from slightly higher resolution in more rugged terrain.

• Use NASADEM:• When absolute accuracy is most

critical.

• To replace existing SRTM, GDEM, and AW3D30 cloud/void fill in mountainous areas (Himalayas and Andes, minimum).

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Future Work and Improvement

• Include GDEMv3 and TanDEM.

• Work at 5 arcsec resolution. ~150m resolution is closer to GLAS sampling.

• Eliminate GDALwarp average downsampling, source tile boundary issue. Some products have subtle grids.

• Eliminate subpixel shift. Subpixel shift has increased the RMSE, and appears as increased texture in rough topography areas.

• Attempt to identify source of contour-like patterns on AW3D30 difference images. Integer rounding or an elevation control adjustment?

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