JICA Global Map Lecture at the Geospatial Information Authority of Japan (GSI) http://t.co/pHRoUI7

1.
Power of NeoGeographer
How to use map using on the net?
Taichi FURUHASHI
(MAPconcierge Inc,)

2. Today, I bring a new device
for demonstration
2

3. That name is
“GigaPan”
3

4. 4

5. I will explain about
this device in my presentation.
5

6. How to use map on the net?
6

7. How to use map on the net?
7

8. the net?
8

9. digital
9

10. You are
expert of GIS
in each countries.
10

11. You have
provider orientation
thinking.
11

12. I want to explain about
user orientation
thinking.
12

13.
Taichi
@mapconcierge
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14.
Taichi
@mapconcierge
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15. I’m a TreeClimber
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15

16. Of course, I have
two licenses
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16

17. Because,
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18. I (we)
have
a TreeHouse
in Japan.
(made by ourself)
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18

19. That’s my hobby, but...
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20. It’s related
with the Digital Map(GIS) tech.
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21. It means...
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22. GIS can use
a lot of GeoSpatial Data
as MODEL.
We called Feature.
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23. You know,
“MODEL” is not “real”.
≒ Similar
but
different
From Wikipedia, the free encyclopedia
From Wikipedia, the free encyclopedia
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24. Every time
we have to compare
between
both information
using by training data.
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25. Field work is
very important for GIS tech.
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26. Agenda
1: Project Haiti/sinsai.info
2: Old/Neo Geographer
3: Digital Earth
4: GIS forecast(UAV/Gigapan/GeoHex)
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27. haiti / sinsai.info

28. 12 Jan 2010
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29. b y Ta i c h i F U R U H A S H I

30. We made
high quality map
in Haiti for a few days.
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31. How?
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32. b y Ta i c h i F U R U H A S H I

33. Like the
wikipedia method!
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34. GPS logging
by handyGPS
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35. Draw map by paper.
And scan.
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36. Digitizing
on Satellite images
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37. "The OpenStreetMap community can help the response
by tracing Yahoo imagery and other data sources,....."
(13Jan2010)
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38. OSM v.s. GoogleMaps v.s. YahooMap v.s. bing Map
There is no good map in Haiti.
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39. Start to making map!
on OSM community.
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40. Before
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41. After
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42. We plotted many camp sites.
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43. How about
Google Maps ?
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44. Google Maps
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45. Low Quality.
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46. And also,
we compare to
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47. Google MapMaker
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48. OpenStreetMap
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49. ZOOM in!!
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50. Google Maps
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51. Google MapMaker
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52. OpenStreetMap
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53. Data quality and quantity
are different.
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54. Why,
we could?
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55. Some satellite image
companies provide
to us, very quickly.
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59. Of course,
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61. Those images
are provided
with Georeference
meta data
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62. Collaborated with
JAXA and NIED
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63. JAXA:
Japanese Space Org
< Data Provider >
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64. NIED:
National research Institute
for Earth science and Disaster
Prevention
< Web GIS Server Hosting >
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65. That’s
great
corroboration
in Japan
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66. JAXA → NIED → OSM
by mapconcierge

67. Key Point is...
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68. WMS
protocol
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69. Others
( OSM )
Potlatch JOSM
(OSM editor on WebBrowser) ( OSM )
by mapconcierge

70. We could
mashup to
many services
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71. Especially,
OSM can access to
Road lines as vector.
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72. As a Result...
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73. Support portal site used OSM data.
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74. Quick release as iPhone application
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75. Good point is,
OpenStreetMap
has many experts
for editing map
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76. Over 100 people
includes japanese guys...
Mikel Claudius Henrichs Axel von Matern
Harry Wood pascal_n MaWD
Tim Waters zvenzzon David FawceW
Simone Gadenz Dane Springmeyer tors_ko
MaQa Giovannini Gianfra Phono
Nicolas Chavent Dave Smith / DruidSmith Dankarran
tomoki
PB Randal Hale
Andrew Turner Phil Shipley
Sam Larsen Christopher Parker
EdLoach
Robert ScoW davespod
Seehundeführer
Esperanza
Adam Schreiber
Mapconcierge osmapb1
Imapi Flacus
ikiya
Bikeman2000 Cohan
Komяpa Morten Jagd Christensen ‐
XBear Holly Glaser
acdsig Temporalista
Divebalu HB9DTX
Sergio Sevillano
StellanL Andrew Allison
Jeffrey Johnson
AssetBurned Jus_n Houk
Jaakko Helleranta
Ceyockey Luc Castera
Andrzej Zaborowski
Ævar Arnjörð Bjarmason Michael Lane
FredB
Ivansanchez Mike Hogan
harrierco
ALE! David Runneals ‐
neuhausr
Fabianos Jarno Peschier ‐
PaulY
Kevin helmed,
Osbornec
Julian Boudewijn
Ka_e Filbert
olvagor Fil
Thea Clay
Gubaer Estela Llorente
Micha Ruh
UbuntuAcer Kam
SK53
RatZillaS Marc Schneider
Jonas Krückel (John07)
Jean‐Guilhem Cailton Rafa Gu_errez
Colin Marquardt
clara Samusz
Floris Looijesteijn
steve8 Sean BenneW
AndyGates
Gert Gremmen (cetest) JarraWp
Jean‐Marc Lio_er
Lübeck Xapitoun
sxpert Pierre Beland
http://wiki.openstreetmap.org/wiki/WikiProject_Haiti/Who_is_helping
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77. Over 100 people
includes japanese guys...
Mikel Claudius Henrichs Axel von Matern
Harry Wood pascal_n MaWD
Tim Waters zvenzzon David FawceW
Simone Gadenz Dane Springmeyer tors_ko
MaQa Giovannini Gianfra Phono
Nicolas Chavent Dave Smith / DruidSmith Dankarran
tomoki
PB Randal Hale
Andrew Turner Phil Shipley
Sam Larsen Christopher Parker
EdLoach
Robert ScoW davespod
Seehundeführer
Esperanza
Adam Schreiber
Mapconcierge osmapb1
Imapi Flacus
ikiya
Bikeman2000 Cohan
Komяpa Morten Jagd Christensen ‐
XBear Holly Glaser
acdsig Temporalista
Divebalu HB9DTX
Sergio Sevillano
StellanL Andrew Allison
Jeffrey Johnson
AssetBurned Jus_n Houk
Jaakko Helleranta
Ceyockey Luc Castera
Andrzej Zaborowski
Ævar Arnjörð Bjarmason Michael Lane
FredB
Ivansanchez Mike Hogan
harrierco
ALE! David Runneals ‐
neuhausr
Fabianos Jarno Peschier ‐
PaulY
Kevin helmed,
Osbornec
Julian Boudewijn
Ka_e Filbert
olvagor Fil
Thea Clay
Gubaer Estela Llorente
Micha Ruh
UbuntuAcer Kam
SK53
RatZillaS Marc Schneider
Jonas Krückel (John07)
Jean‐Guilhem Cailton Rafa Gu_errez
Colin Marquardt
clara Samusz
Floris Looijesteijn
steve8 Sean BenneW
AndyGates
Gert Gremmen (cetest) JarraWp
Jean‐Marc Lio_er
Lübeck Xapitoun
sxpert Pierre Beland
http://wiki.openstreetmap.org/wiki/WikiProject_Haiti/Who_is_helping
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78. Actually,
over 300 or 400 users
joined.
Maybe...
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79.
b y Ta i c h i F U R U H A S H I

80.
b y Ta i c h i F U R U H A S H I

81. b y Ta i c h i F U R U H A S H I

82.
b y Ta i c h i F U R U H A S H I

83.
b y Ta i c h i F U R U H A S H I

84. ’
b y Ta i c h i F U R U H A S H I

85.
b y Ta i c h i F U R U H A S H I

86. Tim. J Berners-Lee
talked at
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87.
b y Ta i c h i F U R U H A S H I

88. Raw Data Now!
OpenData will change the world
b y Ta i c h i F U R U H A S H I

89.
b y Ta i c h i F U R U H A S H I

90.
’
b y Ta i c h i F U R U H A S H I

91. Crisis Mapping
Map Crowd source
UGC/CGM
by mapconcierge

92. Google Maps/Earth Release in 2005
by mapconcierge

93. Finding Dr. Jim Gray in 2007
by mapconcierge

94. Google MyMap since 2007
by mapconcierge

95. by mapconcierge

96. 2008
Kenya
by mapconcierge

97. Mexico
hWp://www.cuidemoselvoto.org/
by mapconcierge

98. hWp://www.cuidemoselvoto.org/
by mapconcierge

99. Washington
hWp://snowmageddoncleanup.com/
by mapconcierge

100. 2010 haiti
by mapconcierge

101. 2010 Chile
by mapconcierge

102. by mapconcierge

103. 2011 / NZ
by mapconcierge

104. 2011 / Libya
hWp://libyacrisismap.net/ by mapconcierge

105. 2 0 1 1
3/11
by mapconcierge

106. by mapconcierge

107. sinsai.info Staff
Open Street Map Foundation Japan (NPO)
over 15 (Amazon,Yahoo, NTT, NTT Data, etc..)
by mapconcierge

108. by mapconcierge

109. sample report
by mapconcierge

110. We add on map
by mapconcierge

111. sinsai.info work flow
by mapconcierge

112. sinsai.info Result
• 10,000+
•1,000,000+ PV /
•650,000+
•500,000+
•
by mapconcierge

113. sinsai.info joint to others
by mapconcierge

114. Report
Report
Report Report
API
Crisis Mapping
Map Trace
Map Dona_on
GPS
UAV
Gigapan A lot of Satellite images
by mapconcierge

115. Old / Neo Geographer
Next Generation of
GIS engineer

116. NEOGeographer
OLDGeographer
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117. What’s different?
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118.
OLDGeographer
6 years ago.
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119. OLD NEO
Geographer Geographer
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120. In 2005
Threshold
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121. b y Ta i c h i F U R U H A S H I
121

122. OLD NEO
Geographer Geographer
Before Google-Geo After Google-Geo
Year
2004 2005 2006 2007
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123. OLD NEO
Geographer Geographer
SHP, MIF, GeoTIFF XML, DB, API
Year
2004 2005 2006 2007
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124. Change to
NEOGeographer !
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125. OLD NEO
Geographer Geographer
Result
SHP SHP as Table
SHP
Process KML
SQL GIS
Clients
GeoTIFF GeoTIFF WKT
DB WKTraster
Process
File orientation API/DB orientation
b y Ta i c h i F U R U H A S H I

126. b y Ta i c h i F U R U H A S H I
126

127. b y Ta i c h i F U R U H A S H I
127

128. “Digital Earth Browser”
means View/Share software by
virtual globe.
Those software delivers an easy-to-use way to
view and share information geographically.

129. “Digital Earth” Keyword
appeared since 2004.
Google Earth v3
World Wind,
Google Earth v4
Keyhole
By hWp://www.google.com/trends (2007/11/30)

130. “Digital Earth”
What is this?

132. Digital Earth

134. “Digital Earth Browser” is
not “web browser”.
By Michael T. Jones(Google)

135. Digital Earth Browser
and Web Browser
Digital Earth Browser Web Browser
Google (c) 2007
Google (c) 2007
KML HTML
Digital Earth Browser can access many spatial information(KML) in all over the
world. Like the Web Browser with HTML.

136. Major Digital Earth
Browsers
Google Earth World Wind ArcGIS Explorer
(Google, since2005) (NASA, since 2004) (ESRI, since 2006)
Google (c) 2007 NASA (c) 2007 ESRI (c) 2007
hWp://earth.google.com/ hWp://worldwind.arc.nasa.gov hWp://www.esri.com/sorware/arcgis/explorer/
All applications are provided as Free. And, Those
software can mapping a lot of satellite / airphoto
images all over the world as Free too.

137. Characteristic
of KML
Keyhole Markup Language

138. Characteristic
of KML
Keyhole Markup Language
• Open format on the net.

139. Characteristic
of KML
Keyhole Markup Language
• Open format on the net.
• XML

140. Characteristic
of KML
Keyhole Markup Language
• Open format on the net.
• XML
• Zip Compression available

141. Characteristic
of KML
Keyhole Markup Language
• Open format on the net.
• XML
• Zip Compression available
• Network Connectivity

142. Characteristic
of KML
Keyhole Markup Language
• Open format on the net.
• XML
• Zip Compression available
• Network Connectivity
• Multiply Data Type

143. Characteristic
of KML
Keyhole Markup Language
• Open format on the net.
• XML
• Zip Compression available
• Network Connectivity
• Multiply Data Type
• Time Stamp / Time Span

144. KML Sample
<?xml version="1.0" encoding="UTF‐8"?>
<kml xmlns="hWp://earth.google.com/kml/2.1">
<Folder>
<name>cafe</name>
<descrip_on><![CDATA[Created with <a href="hWp://sketchup.google.com/">Google SketchUp 6.0.312</a>]]></
descrip_on>
<LookAt>
<longitude>139.9366077796045</longitude>
<la_tude>35.90168740874968</la_tude>
<al_tude>17.41304574400348</al_tude>
<range>104.3070304725559</range>
<_lt>80.4794</_lt>
<heading>141.932</heading>
</LookAt>
<Folder>
<name>Tour</name>
<Placemark>
<name>Camera</name>
<LookAt>
<longitude>139.9366077796045</longitude>
<la_tude>35.90168740874968</la_tude>

145. Data Type
in KML

146. Data Type
in KML
• Point

147. Data Type
in KML
• Point
• Line

148. Data Type
in KML
• Point
• Line
• Polygon (include Donuts Polygon)

149. Data Type
in KML
• Point
• Line
• Polygon (include Donuts Polygon)
• Image (Ground/Screen/Photo)

150. Data Type
in KML
• Point
• Line
• Polygon (include Donuts Polygon)
• Image (Ground/Screen/Photo)
• 3D Object (with Texture, COLLADA)

151. Line
Polygon
Point

152. 3D
Object
Line

153. Image (Screen)
Image (Ground)

154. Image (Ground)
Image (Screen)

155. 3D Object with Texture

156. Polygon with attributes
and TimeScale
Image (Screen)

157. Digital Earth
Browser

158. Digital Earth
Browser
• Low cost (almost free)

159. Digital Earth
Browser
• Low cost (almost free)
• No border (using by Lat/Lon coordinates)

160. Digital Earth
Browser
• Low cost (almost free)
• No border (using by Lat/Lon coordinates)
• Free reference data set (Satellite/
Airphoto)

161. Digital Earth
Browser
• Low cost (almost free)
• No border (using by Lat/Lon coordinates)
• Free reference data set (Satellite/
Airphoto)
• Multi data type (with Texture, COLLADA)

162. Digital Earth
Browser
• Low cost (almost free)
• No border (using by Lat/Lon coordinates)
• Free reference data set (Satellite/
Airphoto)
• Multi data type (with Texture, COLLADA)
• Key data format is ”KML”

163. b y Ta i c h i F U R U H A S H I

164. b y Ta i c h i F U R U H A S H I

165.
uDig GeoServer PostGIS Spatialite GRASS
QGIS
Desktop
OpenLayers
MappingServer Geo Data Base Desktop MappingServer
Library
OpenGeoSuite
FOSS4G Tools
OGR
Statistics
FDO
R Project Foundation
GEOS
Catalog
PROJ4
OpenStandard GPS
TC211
Google Chrome OS
GML
Google Earth
Android

166. Licenses
b y Ta i c h i F U R U H A S H I

167. b y Ta i c h i F U R U H A S H I

168. There are
many type of licenses.
b y Ta i c h i F U R U H A S H I

169. License
Copy
Right FREE
CC-by-NC-ND CC-by-ND CC-by-NC-SA CC-by-SA CC-by-NC CC-by
All Rights Public
Reserved Domain
b y Ta i c h i F U R U H A S H I
153

170. License
Copy
Right FREE
CC-by-NC-ND CC-by-ND CC-by-NC-SA CC-by-SA CC-by-NC CC-by
All Rights Public
Reserved Domain
mytext
b y Ta i c h i F U R U H A S H I
154

171.
b y Ta i c h i F U R U H A S H I

172. b y Ta i c h i F U R U H A S H I

173. “GIS Tech.”
like a “Bridge” between
the ITworld and the Realworld.
b y Ta i c h i F U R U H A S H I

174. “GeoSpatial data”
made by “real data”.
≒
From Wikipedia, the free encyclopedia
From Wikipedia, the free encyclopedia
b y Ta i c h i F U R U H A S H I

175.
b y Ta i c h i F U R U H A S H I

176.
b y Ta i c h i F U R U H A S H I

177. http:// goo.gl/Y8aH
b y Ta i c h i F U R U H A S H I

178.
Open Database License
b y Ta i c h i F U R U H A S H I

179. Open Data Commons
b y Ta i c h i F U R U H A S H I

180. b y Ta i c h i F U R U H A S H I

181.
b y Ta i c h i F U R U H A S H I

182. ’
b y Ta i c h i F U R U H A S H I

183.
b y Ta i c h i F U R U H A S H I

184.
b y Ta i c h i F U R U H A S H I

185.
b y Ta i c h i F U R U H A S H I

186.
b y Ta i c h i F U R U H A S H I

187.
b y Ta i c h i F U R U H A S H I

188.
b y Ta i c h i F U R U H A S H I

189.
b y Ta i c h i F U R U H A S H I

190. ’
b y Ta i c h i F U R U H A S H I

191.
’
b y Ta i c h i F U R U H A S H I

192.
b y Ta i c h i F U R U H A S H I

193. ’
b y Ta i c h i F U R U H A S H I

194.
b y Ta i c h i F U R U H A S H I

195.
b y Ta i c h i F U R U H A S H I

196.
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197.
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198.
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199.
b y Ta i c h i F U R U H A S H I

200.
b y Ta i c h i F U R U H A S H I

201.
b y Ta i c h i F U R U H A S H I

202.
b y Ta i c h i F U R U H A S H I

203.
b y Ta i c h i F U R U H A S H I

204.
b y Ta i c h i F U R U H A S H I

205.
b y Ta i c h i F U R U H A S H I

206.
b y Ta i c h i F U R U H A S H I

207.
b y Ta i c h i F U R U H A S H I

208. b y Ta i c h i F U R U H A S H I

209.
b y Ta i c h i F U R U H A S H I

210.
b y Ta i c h i F U R U H A S H I

211.
b y Ta i c h i F U R U H A S H I

212. b y Ta i c h i F U R U H A S H I

213.
b y Ta i c h i F U R U H A S H I

214.
b y Ta i c h i F U R U H A S H I

215. ’
b y Ta i c h i F U R U H A S H I

216.
b y Ta i c h i F U R U H A S H I

217.
b y Ta i c h i F U R U H A S H I

218. NEOGeographer
Activity
b y Ta i c h i F U R U H A S H I

219. I love
OpenSource GIS
(FOSS4G)
b y Ta i c h i F U R U H A S H I

220. b y Ta i c h i F U R U H A S H I
204

221. ESRI
v.s
FOSS4G?
b y Ta i c h i F U R U H A S H I

222. ESRI
v.s
FOSS4G?
b y Ta i c h i F U R U H A S H I

223. InteDevelopment Strategy
Functions
201x
2010
2009
Proprietary Projects FOSS4GProjects
207

224. one more thing...
b y Ta i c h i F U R U H A S H I

225. GSI(GeoSpatial Information Authority of Japan)
FOSS4
cyberjapan
MappingSystem
cyberjapan
MappingSystem
b y Ta i c h i F U R U H A S H I

226. GSI(GeoSpatial Information Authority of Japan)
FOSS4
cyberjapan
MappingSystem
cyberjapan
MappingSystem
b y Ta i c h i F U R U H A S H I

227. OpenGov
b y Ta i c h i F U R U H A S H I

228. GIS forecast

229. iPhone/Android
with GIS
(hWp://www.apple.com)
Apple (c) 2007

230. by Alos4Amazon Project

231. for Geo tools on Google
by Alos4Amazon Project

232. by Alos4Amazon Project

233. by Alos4Amazon Project

234. by Alos4Amazon Project

235. by Alos4Amazon Project

236. by Alos4Amazon Project

237. by Alos4Amazon Project

238. by Alos4Amazon Project

239. by Alos4Amazon Project

240. by Alos4Amazon Project

241. by Alos4Amazon Project

242. by Alos4Amazon Project

243. by Alos4Amazon Project

244. by Alos4Amazon Project

245. Simulation Story
How to use Android for your field work.
Deforestation Polygon: Made by PALSAR Viewer by manipulation as KML-Polygon.
ALOS-image: Made by PALSAR Viewer from ALOS-PALSAR as KML-GroundOverlay.
BackGround: Made by WMS from InteliGeo/Siscom as Cache.
Before field
PalserViewer
KML/WMS
Viewer Polygon
GroundOverlay
WMC
GPS Tracker InteliGeo/Siscom
KM
L, G
PX,
and
SHP/GPX
mo
My Tracks re.. Spatial
DB
Photo
X, Y, Z, D
SHP
irection
+Exif
Spatialite
Camera with GeoTAG(Exif) SQL
Field Office
After field
by Alos4Amazon Project

246. One Laptop
per Child
The mission of the OLPC Project is to develop a low-cost laptop(about $100) to revolutionize how to
educate the world's children. Goal is to provide children around the world with new opportunities to
explore, experiment, and express themselves.
Why do children in developing nations need laptops? Laptops are a window and a tool: a window into the
world and a tool with which to think. They are a wonderful way for all children to learn learning through
independent interaction and exploration.
OLPC espouses five core principles: (1) child ownership; (2) low ages; (3) saturation; (4) connection; and
(5) free and open source.
If all laptop has include the GIS application, they will become to good geo-spatial contents providers.
OLPC (c) 2007
hWp://www.laptop.org/

247. MAP of OLPC
OLPC (c) 2007
those countries we plan to pilot
those countries we plan to include in the post-launch phase
those countries who have expressed interest at the Ministry-of-Education level or higher
those countries who are currently seeking government support

248. The Green WiFi Mission
hWp://www.green‐wifi.org/
Green WiFi is commiWed to providing solar powered access to global informa_on
and educa_onal resources for developing regions and K‐12 school children striving
for knowledge in a digitally divided world. There are approximately 3 billion people
under the age of 15 living in developing na_ons. 42 percent of the developing
world's popula_on is below the age of 15. Green WiFi was founded on the principle
that the welfare of our world is dependent, in large part, on providing these
children with free and open access to the world's informa_on.
Green WiFi (c) 2007

249. GNSS Global Navigation
Satellite System
Now, some GNSS services
provided by U.S. , Russia, EU
and China. And Japan will
lunch the Quasi‐Zenith
Satellites for GPS System. We
will be able to use a more
highly accurate loca_on
informa_on.

250. UAV
Unmanned aerial vehicle

251. by mapconcierge

252. (c) www.physorg.com
by mapconcierge

253. hWp://www.youtube.com/watch?v=Fw8CqIwVa44
by mapconcierge

254. by mapconcierge

255. by mapconcierge

256. by mapconcierge 用

257. 1st May, 2011
Akahama area in Ohtsuchi, IWATE
CC-by-SA by mapconcierge
CC-by-SA by mapconcierge
by mapconcierge

258. UAV at Akahama area in Ohtsuchi, IWATE. 1st May, 2011
CC-by-SA by mapconcierge
by mapconcierge

259. Tsunami destroyed
Akahama area.
CC-by-SA by
Univ.of Tokyo/ISTS/Bizworks/MAPconcierge
by mapconcierge

260. The university of Tokyo, Interna_onal ocean research center.
CC-by-SA by Univ.of Tokyo/ISTS/Bizworks/MAPconcierge by mapconcierge

261. A ship on the house.
CC-by-SA by Univ.of Tokyo / ISTS / Bizworks / MAPconcierge
by mapconcierge

262. CC-by-SA by
Univ.of Tokyo/ISTS/Bizworks/MAPconcierge
OrthoRectified
Mosaic data
by mapconcierge

263. Gigapan
360 panorama camera

265. G pixels
=
1,000,000,000
=
General DigitalCamera x 100

272. Midtown in Ohtsuchi, IWATE
CC-by-SA by Kaoru Saito
by mapconcierge

273. View on Google Earth using by KML PhotoOverlay data
CC-by-SA by mapconcierge
by mapconcierge

274. Office of volunteer center in Tohno, IWATE(magokoronet)
CC-by-SA by Taichi
by mapconcierge

275. GigaPan can take
CC-by-SA by Taichi
by mapconcierge

276.
by mapconcierge

277. Informa_on Crawler
by mapconcierge
261

278. Informa_on Scooter
by mapconcierge
262

279. by mapconcierge
263

280. NEOGeographer
b y Ta i c h i F U R U H A S H I

281. w w w. s l i d e s h a r e . n e t /
mapconcierge
@mapconcie
by mapconcierge

282. To g e t h e r f o r t h e E a r t h ! !
@mapconcie
by mapconcierge