silvana amaral image processing division – dpi national institute for space research - inpe
DESCRIPTION
Challenges in Providing Environmental & Geospatial Data for modelling processes in the Amazon Region. Biodiversity and Land Use and Land Cover Change for GEOMA Project. Silvana Amaral Image Processing Division – DPI National Institute for Space Research - INPE. - PowerPoint PPT PresentationTRANSCRIPT
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Challenges in Providing Environmental & Geospatial Data for modelling processes in the Amazon Region. Biodiversity and Land Use and Land Cover Change for GEOMA Project.
Strategies for Open and Permanent Access to Scientific Information in Latin America: Focus on Health and Environmental Information for Sustainable Development
Atibaia - SP, Brazil May, 2007
Silvana Amaral Image Processing Division – DPI
National Institute for Space Research - INPE
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Context
GEOMA: “Rede Cooperativa de Modelagem Ambiental” Cooperative Network for Environmental Modelling Established by Ministry of Science and Technology INPE/OBT, INPE/CPTEC, LNCC, INPA, IMPA, MPEG
Long-term objectives Develop computational -mathematical models to
predict the spatial dynamics of ecological and socio-economic systems at different geographic scales, within the framework of sustainability
Support policy decision making at local, regional and national levels, by providing decision makers with qualified analytical tools.
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Priority Areas for conservation and sustainable use of the Brazilian Biodiversity -ARPA
ALAP BR 319Estradas pavimentadas em 2010Estradas não pavimentadasRios principais
0.0 – 0.10.1 – 0.20.2 – 0.30.3 – 0.40.4 – 0.50.5 – 0.60.6 – 0.70.7 – 0.80.8 – 0.90.9 – 1.0
% mudança 1997 a 2020:0.0 – 0.10.1 – 0.20.2 – 0.30.3 – 0.40.4 – 0.50.5 – 0.60.6 – 0.70.7 – 0.80.8 – 0.90.9 – 1.0
% mudança 1997 a 2020:
CENÁRIO BASE – Hot spots de mudança (1997 a 2020)
Maior intensidade de mudança nas novas fronteiras mais conectadas ao Sudeste e Nordeste
Context Processes are scale dependent
Human Dimension Biodiversity LUCC
Data needings - Legal Amazonia scale
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Permanent open access to S&T
Challenges in Providing Environmental & Geospatial Data:
Data Providing Generation and description Governamental Initiatives – MMA, SIPAM,
INPE, etc.
Free access in the internet
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Permanent open access to S&T
Challenges in Providing Environmental & Geospatial Data:
Multi-scale Data generation – scales and quality Data Availabity
Space and time scale and series Data format Free access / technology
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ALAP BR 319
ALAP BR 319Estradas pavimentadas em 2010Estradas não pavimentadasRios principaisPortos
ALAP BR 319Estradas pavimentadas em 2010Estradas não pavimentadasRios principaisPortos
SIMULATION – Differences considering the basic scenario
ALAP BR 319Paved roads 2010Unpaved roadsMain rivers
0.0 -0.50Diminishing:0.0 0.10Increasing:
Deforestarion differencesNew integral conservation areasNew sustainable use areas
Amazonia needs planning combining conservation areas and intra-regionals effects of land use pressure.
With every conservation areas, deforestation process stops. New areas appears along Acre andnoth of Manaus
Different Scales
Data for regional modeling
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Networks and connections Regional connectivity
Past and present process of land use occupation Physical connections of the human settlement and proximity
Rio Xingu
Rio Iriri
Transamazônica
-BR 163
Novo Progresso
São Felix do Xingu
Apyterewa
Kayapó
TrincheiraBacajá
Araweté /Ig.Ipiuxuna
KoatinemoKararaôCachoeira Seca do Iriri
Arara
Menkragnoti
Baú
Curuá
200 Km0
Rio Xingu
Rio Iriri
Transamazônica
-BR 163
Novo Progresso
São Felix do Xingu
Apyterewa
Kayapó
TrincheiraBacajá
Araweté /Ig.Ipiuxuna
KoatinemoKararaôCachoeira Seca do Iriri
Arara
Menkragnoti
Baú
Curuá
200 Km0 200 Km0
Different Scales
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Rede HidrográficaRede EstradasPistas de pouso
São Félix do XinguTucumã e Ourilândia
Altamira
Uruará
Canopus
VilaCentral
Taboca
Sudoeste
Rede HidrográficaRede EstradasPistas de pouso
São Félix do XinguTucumã e Ourilândia
Altamira
Uruará
Canopus
VilaCentral
Taboca
Sudoeste
Networks and connectionsField Work
Physical network
Tucumã
Sudoeste
Ladeira Vermelha
Minerasul
Carapanã
Belém
São Félix
Araguaína
AltamiraVila Canopus
Nereu
Tancredo Neves
Taboca
Vila dos Crentes
Porto Estrela
Vila Central
Pontalina
Vila Caboclo
Primavera
Redenção
Metrópole Cidades Cidades Setores Localidades>50.000 hab <50.000 hab Urbanos
Tucumã
Sudoeste
Ladeira Vermelha
Minerasul
Carapanã
Belém
São Félix
Araguaína
AltamiraVila Canopus
Nereu
Tancredo Neves
Taboca
Vila dos Crentes
Porto Estrela
Vila Central
Pontalina
Vila Caboclo
Primavera
Redenção
Metrópole Cidades Cidades Setores Localidades>50.000 hab <50.000 hab Urbanos
Urban network
Different Scales
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Biodiversity - Detailed Data Field Work
BR-319 Madeira - Purus
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Areal Videography from Amazonia
GEOMA - May/Jun de 2006 – Intergrated Expedition INPE, INPA, MPEG,WCS – 1, FUNCATE, CPT, FSP
Paleocanais - Marajó
Dinâmica Terra do Meio
BR 163
Desmatamento PRODES
Gradientes florestais
Soja
http://www.dpi.inpe.br/geoma/videografia/http://www.dpi.inpe.br/geoma/videografia/download.phpdownload.php
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ZEE - BRAZIL
“Zoneamento Ecológico Econômico no Brasil” National Program to support territorial planning and Environmental Conservation.
Planning, Diagnostic, Prognostic, Implementation Strategy
Geographical Data Base (Medeiros & Crepani)
INCRA, INPA, CCSIPAM, CODEVASF, Pertobras and others
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ZEE - Scales
Focus Territorial Administration Scales
STRATEGY(Policy)
Continental Federal 1:10.000.000 1:5.000.000
Nacional Federal 1:2.500.000 1.1000.000
Regional Federal/Estadual 1:1.000.000 1:250.000
TATIC(Operational)
Estadual Estadual/Municipal
1:250.000 1:100.000
Municipal Municipal 1:100.000 / 1:50.000
Local Distrital 1:25.000 / 1:1.000
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ZEE – Legal AmazonData gathering
Data Selection
Import
DataVerification
Geographical Data BaseSPRING
Export
InternetZEE Brasil
Other sources
Dgn / partialDxf / partialShapefile
Arc Info / E00, UNGMid / Mif
Tiff – Geotiff / GeojpgASCII – SPRINGDBF ASCII tables
External TablesTerraLib ASCII Geo
ShapefileASCII – SPRING
Geotiff
ConsultingTerraView
Data Selection
DATA BASE: ~ 40 Gigabytes520 layers, 23 tables (+600 atributes)
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Geomorphology Data
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Geomorphology and Landsat Data
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Geomorphology and SRTM Data
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Geographic Data Base and Geographic Information System
SGBDSGBDMySQLMySQL
BD SPRING
BD TerralibTerralib
Web Service TerraPHP
Client
Spatial Spatial DataData TerraviewTerraview
SPRINGSPRING
Client
Client
Challenge/Commitment: National/ Free Softwares
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ZEE – Legal Amazon Scenario: Systematic and Update
InformationMMA-SDS
Source: MMA/SDS
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ZEE – Project Status
Source: MMA/SDS (2006)
1:250.000 products (2006)
LegendWorkingConcluded
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ZEE - Results
Products: Technical Reports Geographical Data Base Consulting System
Data Dissemination CDROM (Data Base) – under request Internet – MacroZEE Consulting and map
server(Other scales - forthcoming)
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Permanent open access to S&T
Barriers in Providing Environmental & Geospatial Data:
TI capacity building and investments – Data Base and internet services Herbarium of Instituto de Botânica – SP
Data policy - institutional and personal “What would I receive as profit from making my data
free?”
Differences between Advertising, Consulting (Map Server) & Free data access
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A “Model” for providing access
Earth observation data for everyone: the CBERS experience (Camara, 2007) 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 public goodgood
PRODES, DETER, DETEX – environmental monitoring systems
(INPE´s strategy and data policy)
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Altamira (Pará) – LANDSAT Image – 22 August 2003
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Altamira (Pará) – MODIS Image – 07 May 2004
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Imagem Modis de 2004-05-21, com excesso de nuvens
Altamira (Pará) – MODIS Image – 21 May 2004
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Altamira (Pará) – MODIS Image – 07 June 2004
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6.000 hectares deforested in one month!
Altamira (Pará) – MODIS Image – 22 June 2004
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Altamira (Pará) – LANDSAT Image – 07 July 2004
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Go to the field....
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...and get the bad guys!
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2003 2004 2005 2006 2007 2008 2009 2010
LANDSAT-5 1984
LANDSAT-8 2010?
SPOT4 1998
SPOT5 2002
CBERS-2 2003
CBERS-2B 2007
CBERS-3 2009
IRS-P6 2003
Land Remote Sensing: 20 to 50 meter resolution
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Land Remote Sensing: 50 – 300m resolution
Resolution 2004 2005 2006 2007 2008 2009 2010
MODISTerraAqua
2001 250 m1 dia
MERIS 2002 300 m2 dias
WFI Cbers-2 Cbers-2B
2003 250 m4 dias
AWFIS Irs-P6
2002 70 m4 dias
AWFI Cbers-3
2009 70 m 4 dias
AWFISSR-1
2009?
70 m 4 dias
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Strategy for CBERS
How do we obtain support for funding Earth Observation Missions (300+ million dollar question)? Our answer: Make all sectors of society use publically funded
EO data... ...by providing EO data for free!
CBERS images received in Brazil 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
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FTP area for User
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CBERS-2 CCD, Minas Gerais, Brazil
Government Institutions 23%
Educational Sector 26%
Private Companies 51%
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Free CBERS data
Enables new business and technology development
Facilitates trial uses for new clients and students
Planning new applications and scientific projects becomes easier
Satellite imagery became a popular and affordable environmental data for business, education and scientific research.
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Free CBERS data
The CBERS data policy has been extremely well-received by government and society in Brazil
There is an enormous demand for remote sensing and environmental data in developing countries
Free on-line data access can significantly increase the number of users of earth observation data
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Final Comments There are Environmental and Geospatial data
available BUT … data quality, metadata, scale has to be considered
GEOMA demands data of high quality and several scales AND is providing some basic data AND is working on publishing and data availability
(internet and Newsletters)
Environmental and Geospatial data as public good can create demands for services and research, what promote a positive feed-back for free data access.
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Thank you!
Slides and photos also provided by:Ana Paula AguiarGilberto CamaraJosé S. de MedeirosMario Cohn-HalfINPE´s team