G-Spatial
Information Center

Vol.7 May-31,2018

Disaster response collaboration project➢ Access✓ 2,725 users registered total

To carry out the role of a disaster information hub,Geospatial information center (GsC) provides disasterdamage information and disaster recovery information.
The fact that it takes too long for disaster recovery
support and volunteers to obtain damage and disaster
information has become an issue.
The main cause of this not knowing where theinformation is stored, where to inquire, and theprocedures for secondary use and redistribution are alsounclear.
In light of these circumstances, GsC aims to support thedistribution of data information by working as acoordinator between data holders (data providers) andusers.

GsC concluded a “disaster information sharing”
agreement with data holders, and also a “disasterinformation sharing” agreement with disaster information
volunteers. These agreements ensure that when adisaster occurs geospatial information will be instantlyavailable.
We aim to contribute to disaster prevention andreduction by distributing useful disaster response
information held by field offices of the Cabinet,
municipalities, universities, and private firms.

➢ 2018.4.03 【Released】 GsC Newsletter Vol.6(EN)➢ 2018.3.16 【Released】 GsC Newsletter Vol.6(JP)➢➢➢➢➢ 2018.03.01 Visited the governmental institutions
responsible for location survey and maps inCambodia, Laos, and Vietnam.
➢➢

For moreinformation✓ 220,410 page view(As of May 1. 2018)(Data collection period Mar 1 to Apr 30, 2018)➢ Uploaded Data
✓ 422 data providers✓ 2,068 data collections✓ 11,310 data files(As of May 1. 2018)

Highly accessed ranking
Data collection period Mar 1 to Apr 30, 2018
1.

Infra MIRAI MAP Kamaishi (prototype) / 01-1_Sanriku
coast road Kamaishi-Yamada route - From Ministry ofLand, Infrastructure and Transport(MLIT) Policy Bureau

2.

Real 3D urban city model / sample image (Shinagawa) From ASIA AIR SURVEY CO.,LTD.

3.

Infra MIRAI MAP Kamaishi (prototype) / Infra MIRAIMAP Kamaishi (prototype) data storage index list –From MLIT Policy Bureau

4.

Infra MIRAI MAP Kamaishi (prototype) / 15_ Unosumai
Fukko Stadium - From MLIT Policy Bureau

5.

Future population and household number prediction
tool / terms of use - From National Institute for Landand Infrastructure Management(NILIM)

6.

Road closing information / Road information service
system / Kyushu Regional Development Bureau - From
MLIT Road Bureau

7.

Infra MIRAI MAP Kamaishi (prototype) / 01-2_Sanriku
coast road Yoshihama-Kamaishi route - From MLIT
Policy Bureau

8.

Future population and household number prediction
tool / 13 Tokyo Metro Area - From NILM

9.

CS pictorial drawing tool / CS pictorial drawing QGIS
plugin - From The Forestry Center of Nagano prefecture

10. Infra MIRAI MAP Kamaishi (prototype) / 16_ new city
hall - FromMLIT Policy Bureau

2018.04.10 【Released】 Matsue station premises people flow sensor data March 2018
From: AIGID People flow analysis team2018.03.28 【Released】 Infra MIRAI MAP Kamaishi (prototype) From: MLIT)
2018.03.28 【Released】 Tile images of future population by mesh grid(estimated 2017) From: MLIT Policy Bureau
2018.03.26【Released】Reference data for the estimated ratio of noncombustible areas, detached house density,and estimated building coverage of fire retardant-treated wooden houses used to designate “areas in whichmeasures needed for removing the risk of the occurrence or spread of electrical fires at the time ofearthquakes or other disasters.” From: Central Government Review Board for the Occurrence and Suppressionof Electrical Fires in Large Scale Earthquakes.
2018.03.12【Released】webpage link of “volcanic eruption aerial photo of Mt. Kirishima (Shinmoe-dake)”2018.03.12【Released】Matsue station premises people flow sensor data February 2018
From: AIGID People flow analysis team

G-Spatial Information CenterWebsite
E-Mailhttps://www.geospatial.jp
info@geospatial.jp

Featured Upcoming data
Reference data for the estimated ratio of
noncombustible areas, detached housedensity, and estimated building coverageof fire retardant-treated wooden houses
used to designate “areas in whichmeasures needed for removing the riskof the occurrence or spread of electricalfires at the time of earthquakes or otherdisasters.”

Picｋ UP !! “National Park”
Biodiversity Center of Japan, Ministry of theEnvironment
National parks are symbols of Japan’s natural scenery andlandscapes. Designation is based on the natural park lawand managed by the Ministry of Environment. 33 locations
throughout the country have been designated as ofOctober 2016.

(From Central Government Review Board for the Occurrence andSuppression of Electrical Fires in Large Scale Earthquakes.)

Data sets polygonised and stored according to thecategories of park name, special protection area, specialarea, marine park area, and regular area.

This data is useful for municipalities designatedthat data provided includes “①estimated ratio ofnoncombustible areas,” “②detached housedensity,” and “③estimated building coverage offire retardant-treated wooden houses” for every
town, village and district nationwide.

■Data specs and price
Data format: KLM file –available on Google Earth
Price: free use*sample image on the Google Earth

①

②

③

Q> Where can I find terms of use for purchasing data sets?
A> Each data set has a pdf file of Terms of use and notes. You can view it from eachdata set’s page. This information can also be seen in the shopping cart after you select yourpurchasing datasets.

Terms of use➢ The banner for the of terms of use is displayed
after you put purchasing data in your shoppingcart.

➢ Click the “Terms of use” banner, to see
its contents.

➢ Status report

We’ve already uploaded huge amount of data on the GsC. New data is uploaded on a steady basis.
For efficient use these data, our system team are preparing an API (Application ProgrammingInterface).
We will soon release the API for free data use on the GsC site.
To provide additional value for practical use, we are continually developing API for purchasing data.
➢ Future plans
We are also developing another API to provide additional value to users by allowing them to purchaseand obtain data more efficiently. It will have user-friendly features such as the ability to easily obtaindata for a specified area and time period from the large amount of GSC’s time series datasets.
From System team

G-Spatial Information Center