The CBERS satellite, data policy and social benefits Gilberto Câmara Director, National Institute for Space Research GEO Capacity Building Workshop, May.

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Presentation transcript:

The CBERS satellite, data policy and social benefits Gilberto Câmara Director, National Institute for Space Research GEO Capacity Building Workshop, May 2006

From EO to societal benefits source: NASA

Knowledge gap in Earh Observation source: John McDonald (MDA)

The key question How do we build capacity building in Earth Observation? Our answer: Make all sectors of society use publically funded EO data......by removing the barriers to entry!

Barriers to entry in Earth Observation Lack of data  Much EO data is expensive or unavailable Lack of tools  Good software is required to explore EO data Lack of expertise  We need to build capacity at a massive scale

Removing the barriers to entry Lack of data  Make EO data free! Lack of tools  Produce good open source software for EO data handling! Lack of expertise  Provide open access to on-line training and to scientific literature!

The “White-Box” Model results = people + data + software  People  “Learning by Doing” x “Learning by Using”  Data  Timely and free geospatial data sets  Software  Adequate data analysis and Integration

Tools Challenge SPRING – Image processing and GIS software.  Multi-platform (Windows, Linux, Solaris)  Web: ( downloads)

Tools Challenge Why Open-Source GIS? “Deadlock” situation  Small size of commercial earth observation markert Not enough income for R&D investment  Improvements on information extraction Needed for the market to grow Knowledge extraction procedures  very little technological innovation  limited academic research in EO-GIS integration

The Expertise Challenge Academic institutions in US and Europe  producing qualified personnel for developing world  graduates of these institutions have initiated their own research groups in their native countries  needed and useful: Should continue  provides only a limited capacity to respond to developing world needs

The Expertise Challenge Research system in the developed world  discourages the production of training material  there are good books on GIS and Remote Sensing!  unfortunately, these books are in English and are expensive Need for innovative responses  Open-source (on-line) books in many languages Brazilian experience  three-volume set (“Introduction to GIS”, “Spatial Analysis”, “Spatial Databases”)

The need for global land observation The world is changing rapidly  Climate Change is here to stay Global land observation is a crucial need for the world, but its future is uncertain  MODIS is very useful,but has no future  What will happen to LANDSAT? Global land observation systems are a public good

Uncle Scrooge and the Internet Uncle Scrooge: “A penny saved is a penny earned” The anti-Uncle Scrooge principle: “A pixel saved is a penny wasted” Why is that so?  “Value comes from use”

The Internet paradox The Internet has reduced the cost of data distribution to very close to zero Society responds very quickly to open availability of free data and good on the Web

Brazilian and Chinese Strategy for CBERS CBERS images received in Brasil are freely available on the Internet for Brazilian and Latin American users CBERS images received in China are freely available on the Internet for Chinese users A high-quality image processing software (SPRING) is also available free on the Internet in Brazil

CBERS: China-Brazil Earth Resources Satellite Brief History  Initial agreement signed in July 6th, 1988, covering CBERS-1 and 2.  In 2002, both governments decided to expand the initial agreement by including CBERS-3 and 4. Program objectives  Build a family of remote sensing satellites to support the needs of users in earth resources applications  Improve the industrial capabilities of space technology in Brazil and China

CBERS Program Timeline Launc h Date CBERS CBERS CBERS-2B2007 CBERS CBERS-42012

CBERS-2 Launch (21 October 2003 ) CBERS-2

CBERS 1,2 Sensor Configuration mm WFI 260 m (890 km) MSS 80 m (120 km) CCD 20 m (120 km) Built by ChinaBuilt by Brazil

CBERS-2B Sensor Configuration mm WFI 260 m (890 km) CCD 20 m (120 km) Built by ChinaBuilt by Brazil PAN 2.5 m (27 km)

CBERS-2 CCD, Minas Gerais, Brazil

CBERS-2 CCD Sobradinho Dam, Brazil Dez 2003

CBERS-2 image from Louisiana, EUA Obtained from on-board data recorder

CBERS 3 – 4 Sensor Configuration mm WFI 73 m (860 km) MSS 40 m (120 km) CCD 20 m (120 km) MUX 10 m (60 km) PAN 5 m (60 km) Built by ChinaBuilt by Brazil

CBERS Image Distribution in Brazil (1 st May 2004 to 1 st May 2006) Total number of full CCD scenes distributed (145 Mb/scene) 210,000 Number of institutions and companies 4,500 Number of scenes produced per week 2170 Average time to process a user request 10 min Production environment8 PCs/Linux

Time to respond an image request 9 minutes

FTP area for User

User Distribution(%) Government Institutions23% Educational Sector26% Private Companies51%

Private Farm Management

Tax Enforcement in Agriculture

Oil Spill Monitoring (Large Swath Data)

Propaganda and Marketing

What do we get from free data? “With zero cost data access, technology dissemination has a much greater impact.” “CBERS brought the freedom to have data immediately available when you need it.” Free EO data and free EO technology create new users and new applications Increases the need for other types of EO data

What do the private companies say about free CBERS data? Enables new business development Facilitates trial uses for new clients Planning new applications becomes easier Creates jobs by reducing cost of data buys Increases work quality by adding data previously unavailable

What have we learned? There is an enormous demand for remote sensing data in developing countries Free on-line data access can significantly increase the number of users of earth observation data The CBERS data policy has been extremely well-received by government and society in Brazil

One world, one dream... Free Earth Observation data for all!

One world, one dream... A consortium of Earth Observation satellites for global land observation (5m+) A network of cooperating ground stations EO data free on the Internet, with global weekly coverage