UN Smart Maps/Pacific is held on 18th August 2023. I introduced "Virtual Shizuoka", which is 3D point cloud data compiled by Shizuoka prefecture, and its use cases. I also introduce its challenge and future vision.

2. Who is Kazuya Sato?
Shizuoka prefectural government officer
Disaster Management & Emergency Operation

3. Who is Kazuya Sato?
Physical Geographer, researched disaster risk
International Tsunami Information Center intern
Using Geospatial Information System
Shizuoka prefectural government officer
Disaster Management & Emergency Operation

4. Location
Location
The prefecture faces the Pacific Ocean in central Honshu, and is blessed with a warm climate and rich natural
surroundings. Bordering Kanagawa prefecture with Mt. Hakone in the east, Aichi prefecture with Lake
Hamana in the west, and connecting with Yamanashi and Nagano prefectures with Mt. Fuji and the southern
Alps in the North. Running 155 km east to west and 118 km north to south, the prefecture has a total area of
7,780 km2 over 23 cities and 12 towns, and has a population of about 3.7 million people.
Shizuoka Prefecture Location
Tokyo

5. Taking and publishing 1/1 point cloud data
in order to use ICT to improve productivity in the construction industry
VIRTUAL SHIZUOKA Project
Transportation Infrastructure
Department of Shizuoka Prefecture

6. 20.2
20.9 21.3
21.6 21.6 21.9 22.2
22.8 23.1
23.7 23.523.1
23.7
24.6
25.6
26.5
27.0
27.9
28.2 28.4
28.5 28.6 28.728.6 28.9
20.9
21.7
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23.1 23.2
23.7 24.1 24.2
24.5 24.8
23.9
24.8 26.0
28.1
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33.1
32.8
33.6 34.27
34.26
22.8
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23.6 23.5 23.8 23.5
23.3
22.9 22.8 22.3
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18.3 17.8
17.5 17.3
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21.8 22 21.6
21.0
20.5
19.6
19.1
17.7
16.1
15.5
15.0
13.8
13.0 12.8
11.6 11.8
11.1 10.2 10.7
9.0
11.0
13.0
15.0
17.0
19.0
21.0
23.0
25.0
27.0
29.0
31.0
33.0
35.0
37.0
H2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
（％）
(year）
Of the workers in the construction industry, those aged 55 and over account for approximately 34% and
those aged 29 and under account for approximately 11%, suggesting progress in aging. This creates a big
problem in terms of passing skills on to the next generation. (2014)
出典：総務省「労働力調査」を基に国土交通省で算出
← Construction industry
Workers aged 29 or
under account for
approx. 10%
The aging of workers is in progress in the construction industry
← Construction industry
Approx. 30% are aged
55 and over
← All industries
Workers aged 55
and over
← All industries
Workers aged 29
or under

7. Previously ICT construction
i-Construction changes construction processes
Decisions are made based only on the work
history of the ICT construction machine
Measurement using a level and total station (TS)
水中
Water
水中

8. Traditional
construction
ICT
construction
Coordinate
calculation
from
a
design
drawing
Survey
for
finishing
stake
installation
Finishing
stake
installation
Inspection
Quality/as-built
management
Not
required
Not
required
Not
required
Not
required
3D
measurement
Coordinate calculation
from a design drawing Surveying
Finishing stake
installation
Construction
according to the
finishing stakes
Construction with
repeated inspections
Quality/as-built
management
3D measurement
by UAV, etc.
Construction
Completion
ICT construction improve work process

9. Point cloud data: A large group of points having X, Y, and Z position information measured using a laser scanner, etc.
Point cloud data of VIRTUAL SHIZUOKA

10. Laser Profiler (LP)
Airborne Laser
Bathymetry (ALB)
Mobile Mapping
System (MMS)

11. Measurement
method
Laser Profiler (LP) Airborne Laser Bathymetry (ALB) Mobile Mapping System (MMS)
Items measured
Ground surface, trees, buildings,
etc.
Coast and underwater topography Roads and surrounding natural
features
Measurement
density
16 points or more per square
meter
1 point or more per square
meter
400 points or more per square
meter
High density data is acquired over a large area
to create a VIRTUAL SHIZUOKA

12. Original data (DSM)
Ground data (DTM)
Characteristics of airborne laser surveying (LP: Laser Profiler)
Original data (DSM)
Ground data (DTM)
Digital Terran Model
数値地形モデル

13. https://www.geospatial.jp/ckan/dataset/shizuoka-2019-pointcloud
The VIRTUAL SHIZUOKA data has been published as open data (CC-BY)

14. 14
https://www.geospatial.jp/ckan/dataset/shizuoka-19-20-pointcloud
LPデータ ダウンロード
ページ
ALBデータ ダウンロードペー
ジ
MMSデータ ダウンロード
ページ
Click “Specify selection area” to select the
area and click “Download” to acquire the
data.
The VIRTUAL SHIZUOKA data has been published as open data (CC-BY)

15. Quantitatively grasping the disaster situation
Grasping damage based on comparison with previous data
Investigation of buildings
along the road
Automated driving
Forest management
Cultural properties protection
Travel
Survey/design ICT construction Efficient maintenance management
Using 3D data in all infrastructure processes
Consideration of landscape
Support for consensus building/
decision making Application for simulation
VIRTUAL SHIZUOKA Project
Digital Twin created by point cloud data

16. Academic

17. Picture provided by Fujiyama Co., Ltd.
Mt. Komyo Ruins (Komyo-ji Temple Ruins) (Hamamatsu City)

18. Pictures provided by Fujiyama Co., Ltd.
Mt. Komyo Ruins (Komyo-ji Temple Ruins) (Hamamatsu City)
Original data Ground data

19. Aerial photography (Geographical Survey Institute)

20. Underwater lava topography seen in ALB data:
Futo Coast
LP data (2019) only
Superimposed with a city planning map of Ito City

21. Underwater lava topography seen in ALB data: Futo
Coast
LP+ALB (2019)
Superimposed with a city planning map of Ito City
Only the underwater
topography is colored.
Measured to almost 20 m
deep.
You can see an open
crack in the lava lobe
extending into the ocean.
Amazing!
Boulders that fell due to erosion by
waves are also visible.

22. Disaster Management

23. Kawazu Town: Map of possible tsunami hazard zone

24. Application to tsunami simulation (Kawazu Town)

25. Game

26. Application to racing games (Spain)

27. Automation

28. Acquiring point cloud data from the roof of the vehicle (MMS)

29. Source: http://www.zmp.co.jp/news/pressrelease_160805
Used in maps for automated driving (dynamic maps)

30. Creating a dynamic map
Using point cloud data from MMS
Demonstration (Confirmation of the usefulness and social
receptivity of autonomous cruising)
Shizuoka Auto Driving ShowCASE Project

32. Breaking News
Shizuoka Prefecture and
Aero Ashahi corp.
signed agreement
to use Virtual Shizuoka
for eVTOL simulation on 8th.

33. Landslide in Izusan, Atami (July 3, 2021)

34. Initial response by using point cloud data
“Grasping the disaster situation” and “Ensuring safety during rescue
activities”

35. Confirming the damaged location using a detailed map created from point cloud data
Izuyama Port

36. 伊豆山港
～ 崩壊地までの地図
崩れた盛土
Location of collapse

37. (2021: UAV acquired after disaster) over 120 pts/sq m
Open data
(CC-BY4.0)
Open data
(CC-BY4.0)
(2019: VIRTUAL SHIZUOKA) 16 pts/sq. m
Extraction of topographical differences based on a comparison of point cloud data

38. Red Relief Image Map
(2019: VIRTUAL SHIZUOKA) 16 pts/sq. m (50 cm DEM)

39. Red Relief Image Map
(2021: UAV acquired after disaster) 120 pts/sq m (10 cm DEM)

40. After landslide (UAV acquired)
Before landslide (Virtual Shizuoka)
3D volume calculation

41. A
B
The area enclosed in a purple dotted line is estimated to be part of the remaining
embankment.
A: Area where a change in the condition can currently be observed
B: Area where a change in the condition is not observed
Estimated remaining embankment in area A: Approx. 9,400㎥
Estimated remaining embankment in areas A and B: Approx. 20,000㎥
Image of topographical differences based on point cloud data

42. Embankment
that didn’t
collapse A
Extensometer
An extensometer was installed in the remaining embankment as it is considered to be unstable.
→A warning will be sent via area mail if the threshold is exceeded.

43. Features and Challenges
Most of use cases are for “visualization”
How to improve “Analysis” cases
Participants have special skills and high spec equipment
Data are huge
How to make point cloud data dealing friendly
Development of data processing or software is required

44. “visualization”
“Analysis”
Blender
Unity
Cloud Compare
Twin motion
Cloud Compare Raster（GIS)
Point Cloud
3D data; On the way to established technology
Unreal engine

45. We’re opening magnificent experiment field
Data are huge
Policy: Administration should open as well as they have(DFFT)
NOT considering how to flow (nongovernment field)
Technology update
Knowing what can do, how can do, what is needed…
More participants Increase use cases including Analysis

46. Goal: Development of standard
~Emergency Response on which the sun never sets~
Japan
Europe
U.S.A

47. Goal: Development of standard
~Emergency Response on which the sun never sets~
Japan
Europe
U.S.A

48. Goal: Development of standard
~Emergency Response on which the sun never sets~
Europe
U.S.A Japan
Point Cloud（Open Data）
Surface Data（by Drone ）
Shaping

49. Goal: Development of standard
~Emergency Response on which the sun never sets~
Europe
U.S.A
Japan
Point Cloud（Open Data）
Surface Data（by Drone ）
Volume estimation
Analyzing Shaping

50. Goal: Development of standard
~Emergency Response on which the sun never sets~
Europe
U.S.A
Japan

51. VIRTUAL SHIZUOKA
Future City Planning Office, Construction
Policy Division, Administrative Bureau,
Transportation Infrastructure Department,
Shizuoka Prefecture
E-mail：mirai@pref.shizuoka.lg.jp
Kazuya Sato
Crisis Management Information Division,
Crisis Management Department, Shizuoka Prefecture
E-mail：kazuya1_sato@pref.shizuoka.lg.jp
Thank you for listening
Speaker