High resolution elevation data in Poland

PIOTR WOŹNIAKHEAD OF PHOTOGRAMMETRY DIVISION / 3D TEAM IN CAPAP PROJECT LEADER

HEAD OFFICE OF GEODESY AND CARTOGRAPHY - POLAND2016.01.12

2

3

PHOTOGRAMMETRIC ELEVATION DATAOrthophoto – LPIS SystemAerial imagery 25/50cmDTM – 0,75/1,5 RMSEUPDATE CYCLE: 3 years

HR ELEVATION DATAFlood risk&hazard mapping

ALS – 4-12p/m2

DTM – 0,1m RMSE + DSMUPDATE CYCLE: 6 years

2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015

3

4

Pixel size 0,5m 40% of Poland

Pixel size 0,25 m60% of Poland

5

(Standard I) - 3000 km2

- 13 769 km2

- 274 000 km2

92% of territory - 287’769 km2

274’000 km2 – 4 points/m2

13’769 km2 – 12 points/m2

591 production blocks

30 contracts for data collection

3 contracts for QC

1 300 000 000 000 ALS points

ALS point cloud, DTM, DSM

Slot 1 Slot 2 Slot 3 Slot 4 Slot 5 Slot 6

TMCE OPGK Olsztyn GEOPOLIS EUROSYSTEM MGGP S.A. MGGP Aero

BSFGERMANY

ESTEREOFOTOPORTUGAL

KUCERA INCUSA

FUGRO AerialMappingHOLLAND

GeoINSLOWENIA

6

Contractors(over 300 employees)

GUGIK (10 employees)

Quality plans Flight plans

C1

External QC (40 employees)

COMPASS S.A.MEIXNER Vermessung ZT Gmbh

ProGea ConsultingOPEGIEKA Sp. z o.o.

C2 C3 C4 C5 C6

GuidlinesIssues Log

Data

IMGWHydromonitorLocal offices

Weather forecast toolsfor efficient flights planning

and data acquisition

7

8

Product Parameter Standard I (274 000 km2) Standard II – cities (13 769 km2)

ALS point cloud

density 4 p/m2 12 p/m2

RMSE Z ≤ 0,15 m Z ≤ 0,10 m

RMSE XY ≤ 0,5 m XY ≤ 0,4 m

format LAS 1.2 LAS 1.2

Aerial imagerypixel 45 cm 30 cm – collected simultaneously with ALS

format TIFF TIFF

XYZ

intensityecho

nbr of echosflight directionstrip boundaryclassification

scan angleuser datastrip nbrGPS time

RGB

noisegroundlow vegetationmedium vegetationhigh vegetationbuildings and constructionswater areasoverlap pointsunclassified

Product Parameter Standard I (274 000 km2) Standard II – cities (13 769 km2)

DTMGRID 1 m

format ESRI GRID, ASCII xyz

9

Product Parameter Standard I (274 000 km2) Standard II – cities (13 769 km2)

DSMGRID 1 m 0,5 m

format ESRI GRID, ASCII xyz

10

Products Standard I Standard II – cities

287 769 km2 274 000 km2 13 769 km2

ALS point cloud(LAS 1.2)

1

4 p/m2

2

12 p/m2

ZRMSE 0,15 m/0,10 m* ZRMSE 0,10 m/0,07 m*

XYRMSE 0,5 m/0,23 m* XYRMSE 0,4 m/0,18 m*

3 DTM(ESRI GRID, ASCII xyz)

GRID 1m/0,13 m*

DSM(ESRI GRID, ASCII xyz)

4 GRID 1m 5 GRID 0.5m

6 Aerial imagery 45 cm 30 cm

11

* QC results – mean value from 50 random production blocks

12

WMS - DTM 1m GRID1’000 users/day

www.geoportal.gov.pl

personal collection on HD/FTP

online shop3D web browser

analysis

13

107 orders/monthmean in 2015 r.

Data shared10,9 mln km2 (+15%)

1366 organizations(+19%)

183 GB/ordermean in 2015 r.

* Last 3 months

Nbr of orders

0

500

1000

1500

2000

2500

3000

styczeń 12 styczeń 13 styczeń 14 styczeń 15JAN 2012 JAN 2013 JAN 2014 JAN 2015

Nbr of orders

6 53

53

53

15

0

17

18

8

32

25

6

57

78

9

12

8 3

36

18

7 4

90

21

4 1

30

24

3 1

01

29

7 7

67

39

4 9

19

44

8 1

01

66

6 3

46

68

9 6

48

76

8 6

04

1 2

92

85

8

1 3

65

04

5

1 4

45

55

4

1 4

85

45

6

1 5

02

83

8

1 9

27

39

2

44

62

1 35

1 6

36

47

0 2

50

61

7 1

14

67

0 3

21

91

0 5

70

95

2 0

54

97

5 8

23

1 5

37

10

5

1 5

77

84

9

2 2

75

85

7

3 3

05

74

0

20

7 7

94

29

4 2

36

85

3 8

40

1 1

88

35

6 1 8

02

04

5

2 1

57

12

1

2 9

84

91

1

3 4

00

07

1

4 2

89

76

7

4 6

38

79

4

4 7

15

55

4

5 4

17

51

0

0

1 000 000

2 000 000

3 000 000

4 000 000

5 000 000

6 000 000

styczeń luty marzec kwiecień maj czerwiec lipiec sierpień wrzesień październik listopad grudzień

2012

2013

2014

2015

14

Area of shared data in km2

15

53 new users/monthMean nbr in 2015 r.

1 1 3 7 7 9 9 15 1912 13

23 2720 18

2537 32

23 26 30 3221

28

49

2633

21 1727

1731 32 38 32 31

45 5141 39

60

32

98

53

35

120

0

20

40

60

80

100

120

140

83

306340

637

0

100

200

300

400

500

600

700

rok 2012 rok 2013 rok 2014 rok 2015

2012 2013 2014 2015

2012 2013 2014 2015

16

61%26%

13%

NMT NMPT ALSDTM DSM

17

flood risk management 12%

science/education/research 28%

homeland security and crisis management 14%

insurances 8%

geodetic service 11%

geospatial projects 4%

geology 6%

spatial planning 5%

forest management 6%

environment protection 4%

water management 2%

www.santabanta.com

18

website/surveys

conferences

trainings

success stories

competences good practicescustomers

needscustomers

benefits

www.computing.co.uk

19

Orienteering mapsPOLISH ORIENTEERING ASSOCIATION

Analyses and visualisations used in investment projectsINSTITUTE FOR RENEWABLE SOURCES OF ENERGY

Modelling of water supply systemAQUARD – PRIVATE COMPANY

Flood hazard and risk productionINSTITUTE OF METEOROLOGY AND WATER MANAGEMENT

Planning and implementation of investment projectsGENERAL DIRECTORATE FOR NATIONAL ROADS AND MOTORWAYS

Restoration of hydrological system of the Biebrza ValleyBIEBRZA NATIONAL PARK

Air traffic safetyCIVIL AVIATION AUTHORITY

Spatial planningGDANSK DEVELOPMENT BUREAU

Support in archaeological researchINSTITUTE OF ARCHAEOLOGY AND ETHNOLOGY

Geological structure modellingPOLISH GEOLOGICAL INSTITUTE

20

Purpose of data usage Competences and tools

Benefits

21

05.2014survey

650 organizations

12.201410 days of meetings+survey

92 organizations

22

65%

49%

41%36%

23%

7%

0%

10%

20%

30%

40%

50%

60%

70%

1

What restrictions do you identify in effective usage of HR elevation data?

Regular personel lack of knowledge

Lack of money for soft/hardwareindispensible for data usage

Managers lack of knowledge

Legal restrictions to get and use datafor free

Lack of full data coverage in area ofinterest

other

Sector Participants nbr Institutions nbr

Public 954 499

Private 230 146

Non-profit 5 5

Total 1189 650

23

years

25%

21%

12%

5%

14%

4%0% 0% 0%

4%

15%

1 2 3 4 5 6 7 8 9 10 other

How often HR elevation data should be updated?(years)

24

65%62%

35%

28%

14%

9%7% 6% 5%

1 2 3 4 5 6 7 8 9

Which new GUGIKs products you’re interested in mostly?

Web servicesto view

XYZ

Web services

to analyze

data

CityGML3D

buildingsmodelsLOD2

CityGML3D

buildingsmodelsLOD1

CityGML3D

modelsof otherobjects

ALS point cloud

DTM DSM others

4. Keep looking deeply into customers needs and benefits

1. Finish coverage of Poland with HR elevation data in 2016– CAPAP project

2. HR elevation data update for cities – 14’000 km2 12p/m2 – CAPAP project

ALS point cloud - City of Nysa

25

5. Establish stable national budget to keep HR elevation dataset updated

3. New products – 3D buildings models + tools to analyse data online/offline – CAPAP project

What next? - summary