Post on 29-Jul-2021
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
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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
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Pixel size 0,5m 40% of Poland
Pixel size 0,25 m60% of Poland
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(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
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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
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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
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Product Parameter Standard I (274 000 km2) Standard II – cities (13 769 km2)
DSMGRID 1 m 0,5 m
format ESRI GRID, ASCII xyz
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Products Standard I Standard II – cities
287 769 km2 274 000 km2 13 769 km2
ALS point cloud(LAS 1.2)
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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
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* QC results – mean value from 50 random production blocks
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WMS - DTM 1m GRID1’000 users/day
www.geoportal.gov.pl
personal collection on HD/FTP
online shop3D web browser
analysis
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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
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Area of shared data in km2
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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
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61%26%
13%
NMT NMPT ALSDTM DSM
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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
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website/surveys
conferences
trainings
success stories
competences good practicescustomers
needscustomers
benefits
www.computing.co.uk
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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
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Purpose of data usage Competences and tools
Benefits
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05.2014survey
650 organizations
12.201410 days of meetings+survey
92 organizations
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65%
49%
41%36%
23%
7%
0%
10%
20%
30%
40%
50%
60%
70%
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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
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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)
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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
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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