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Module 10 
Session 2 
(Seoul, Korea, 24 February 2011) 
ICTs & environmental observation 
Richard Labelle 
rlab@sympatico.ca
2 
Objectives of Module 10 
To show that ICTs be used to address 
climate change 
To demonstrate why ICTs are a crucial 
part of the solution – i.e. in promoting 
efficiency, Green Growth & sustainable 
development
ICTs for environmental observation 
3
4 
ICTs for earth observation 
Acquiring earth observation data 
Recording & storing data 
Data analysis & visualization
5 
Remote sensing (1) 
Remote sensors (passive and 
active): 
Radio devices that derive environmental 
information by analyzing received radio 
waves. 
Most of these sensors are on 
platforms: satellites or airplanes 
Space-based remote sensors are the 
only tools that provide environmental 
data on a long term, repetitive and 
global scale.
6 
Remote sensing (2) 
By far the most data on 
environmental observation comes 
from satellite based remote sensing 
platforms
7 
Remote sensing (3) 
Provide environmental data on a long 
term, repetitive and global scale. 
Radiocommunication systems based 
on remote sensing play the major 
role in weather and climate change 
prediction.
8 
Remote sensing (4) 
Remote sensing is the essential tool 
for disaster prediction, detection, 
disaster mitigation and planning of 
relief operations. 
Sensors are used for detection and 
tracking of earthquakes, tsunamis 
hurricanes, typhoons, floods, fires, 
oil leaks, dangerous pollution, etc
Some important earth observation 
9 
systems 
World Weather Watch (WMO) 
Global Observing System (GOS - 
WMO) 
The Global Earth Observation System 
of Systems (GEOSS)
10 
World Weather Watch systems 
Vassiliev, A. 2009. Information Communication Technologies (ICTs) and Climate Change. ITU/WMO Seminar “Use of radio spectrum for 
meteorology: weather, water and climate monitoring and prediction”. WMO Headquarters, Geneva, 16-18 September 2009.
11 
Global Observing System 
WMO. 2010. Global Observing System (GOS). http://www.wmo.int/pages/prog/www/OSY/GOS.html
Cloud based earth observation data 
12 
sets are important 
Earth observation & remote sensing 
especially  massive digital data 
sets 
Digitization allows capture, analysis 
& sharing of data 
With agreement of standards and 
rules, can share for local decision 
making: 
Global Spatial Data Infrastructure 
(GSDI) Association created 
60 countries & organizations sharing
Some cloud based earth observation 
13 
data sets 
GEO Forest Carbon Tracking portal now live 
UN unveils new Global Risk Data Platform 
INPE (Brazil) reaches mark of 1 million images 
distributed free 
Earth System Atlas promotes access to research 
data 
Comprehensive Land Surface Imagery now 
available via GEOSS 
Accessing the Landsat archive 
The United Nations Environment Programme 
(UNEP) Global Environment Outlook Data Portal
The Global Earth Observation System 
14 
of Systems (GEOSS) - 1 
Group on Earth Observations (GEO) 
A partnership of govts & int. orgs. 
Earth observations for decision 
making 
To link existing systems & bridge 
gaps
The Global Earth Observation System 
15 
of Systems (GEOSS) - 2 
To link existing systems & bridge 
gaps 
Connect users to data resources 
Portals, Cloud enabled 
GSDI (Global Spatial Data 
Infrastructure) association
The Global Earth Observation System 
16 
of Systems (GEOSS) - 3 
GEO Forest Carbon Tracking portal 
now live 
UN unveils new Global Risk Data 
Platform 
INPE reaches mark of 1 million 
images distributed free
The Global Earth Observation System 
17 
of Systems (GEOSS) - 4 
Earth System Atlas promotes access 
to research data 
Comprehensive Land Surface 
Imagery now available via GEOSS 
Accessing the Landsat archive 
The UNEP Global Environment 
Outlook Data Portal
18 
GIS & related visualization 
technologies 
GIS: geographic information system 
Any system that captures, stores, 
analyzes, manages, and presents data 
that are linked to location. 
In the simplest terms, GIS is the 
merging of cartography and database 
technology 
Essential for making images captured 
by remote sensing useful for 
mapping, spatial analysis, data 
management, etc.
19 
GIS & related visualization 
technologies 
Increased use of GIS 
If its visual, its easier to measure & 
understand 
Smartphones as visualization tools 
Building information modeling (BIM) 
software for building & city wide 
energy analysis 
Google Earth and related 
technologies 
Make GIS available to all via Internet
Using Google Maps to help map the impact 
20 
of sea level rise on the coast of CA
21 
Summary (1) 
The combination of earth observation data 
obtained from satellite-based platforms combined 
with the data from earth-based sensor networks 
and systems such as those enabled by WSNs will 
lead to a highly improved earth observation data 
set. 
The combination of these technologies with GIS 
technologies will greatly enhance our ability to 
understand the environment and to mitigate and 
adapt to climate change.
22 
Summary (2) 
For developing countries, there is a potential 
benefit from the existence of digital data sets and 
their availability over the Internet, in some cases 
at no or little cost. 
Developing countries can use the cloud to 
analyze the data archived on the Internet.

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ICTs Earth Observation Data Climate Change

  • 1. Module 10 Session 2 (Seoul, Korea, 24 February 2011) ICTs & environmental observation Richard Labelle rlab@sympatico.ca
  • 2. 2 Objectives of Module 10 To show that ICTs be used to address climate change To demonstrate why ICTs are a crucial part of the solution – i.e. in promoting efficiency, Green Growth & sustainable development
  • 3. ICTs for environmental observation 3
  • 4. 4 ICTs for earth observation Acquiring earth observation data Recording & storing data Data analysis & visualization
  • 5. 5 Remote sensing (1) Remote sensors (passive and active): Radio devices that derive environmental information by analyzing received radio waves. Most of these sensors are on platforms: satellites or airplanes Space-based remote sensors are the only tools that provide environmental data on a long term, repetitive and global scale.
  • 6. 6 Remote sensing (2) By far the most data on environmental observation comes from satellite based remote sensing platforms
  • 7. 7 Remote sensing (3) Provide environmental data on a long term, repetitive and global scale. Radiocommunication systems based on remote sensing play the major role in weather and climate change prediction.
  • 8. 8 Remote sensing (4) Remote sensing is the essential tool for disaster prediction, detection, disaster mitigation and planning of relief operations. Sensors are used for detection and tracking of earthquakes, tsunamis hurricanes, typhoons, floods, fires, oil leaks, dangerous pollution, etc
  • 9. Some important earth observation 9 systems World Weather Watch (WMO) Global Observing System (GOS - WMO) The Global Earth Observation System of Systems (GEOSS)
  • 10. 10 World Weather Watch systems Vassiliev, A. 2009. Information Communication Technologies (ICTs) and Climate Change. ITU/WMO Seminar “Use of radio spectrum for meteorology: weather, water and climate monitoring and prediction”. WMO Headquarters, Geneva, 16-18 September 2009.
  • 11. 11 Global Observing System WMO. 2010. Global Observing System (GOS). http://www.wmo.int/pages/prog/www/OSY/GOS.html
  • 12. Cloud based earth observation data 12 sets are important Earth observation & remote sensing especially  massive digital data sets Digitization allows capture, analysis & sharing of data With agreement of standards and rules, can share for local decision making: Global Spatial Data Infrastructure (GSDI) Association created 60 countries & organizations sharing
  • 13. Some cloud based earth observation 13 data sets GEO Forest Carbon Tracking portal now live UN unveils new Global Risk Data Platform INPE (Brazil) reaches mark of 1 million images distributed free Earth System Atlas promotes access to research data Comprehensive Land Surface Imagery now available via GEOSS Accessing the Landsat archive The United Nations Environment Programme (UNEP) Global Environment Outlook Data Portal
  • 14. The Global Earth Observation System 14 of Systems (GEOSS) - 1 Group on Earth Observations (GEO) A partnership of govts & int. orgs. Earth observations for decision making To link existing systems & bridge gaps
  • 15. The Global Earth Observation System 15 of Systems (GEOSS) - 2 To link existing systems & bridge gaps Connect users to data resources Portals, Cloud enabled GSDI (Global Spatial Data Infrastructure) association
  • 16. The Global Earth Observation System 16 of Systems (GEOSS) - 3 GEO Forest Carbon Tracking portal now live UN unveils new Global Risk Data Platform INPE reaches mark of 1 million images distributed free
  • 17. The Global Earth Observation System 17 of Systems (GEOSS) - 4 Earth System Atlas promotes access to research data Comprehensive Land Surface Imagery now available via GEOSS Accessing the Landsat archive The UNEP Global Environment Outlook Data Portal
  • 18. 18 GIS & related visualization technologies GIS: geographic information system Any system that captures, stores, analyzes, manages, and presents data that are linked to location. In the simplest terms, GIS is the merging of cartography and database technology Essential for making images captured by remote sensing useful for mapping, spatial analysis, data management, etc.
  • 19. 19 GIS & related visualization technologies Increased use of GIS If its visual, its easier to measure & understand Smartphones as visualization tools Building information modeling (BIM) software for building & city wide energy analysis Google Earth and related technologies Make GIS available to all via Internet
  • 20. Using Google Maps to help map the impact 20 of sea level rise on the coast of CA
  • 21. 21 Summary (1) The combination of earth observation data obtained from satellite-based platforms combined with the data from earth-based sensor networks and systems such as those enabled by WSNs will lead to a highly improved earth observation data set. The combination of these technologies with GIS technologies will greatly enhance our ability to understand the environment and to mitigate and adapt to climate change.
  • 22. 22 Summary (2) For developing countries, there is a potential benefit from the existence of digital data sets and their availability over the Internet, in some cases at no or little cost. Developing countries can use the cloud to analyze the data archived on the Internet.