INPE s Brazilian Amazon Deforestation and Forest Degradation Program Dalton M. Valeriano (dalton@dsr.inpe.br) Program Manager
Summary PRODES Yearly deforestation inventory DETER - Daily detection of deforestation and forest degradation DEGRAD Yearly Inventory of forest degradation (International capacity building program)
INPE s Amazon Deforestation Monitoring Project - PRODES
PRODES: INPE s Amazon Monitoring Program Fact Sheet Coverage: Wall-to wall Frequency: Yearly Integration period: Aug-Jul Brazilian Legal Amazon Region: 5 million km 2 Original forest cover: 4 million km 2 Present gross deforested area: ~750.000 km 2 Proportion of secondary forest: ~20% (TerraClass) Resolution Landsat-class (Landsat, CBERS, DMC, SPOT) Method: Visual interpretation Minimum mapping area: 6.25 ha Delivery Schedule: 1 st estimate -90% of previous year, ~100 Scenes : November Complete map: April, next year
233 Landsat Images
PRODES: INPE s Amazon Monitoring Program A brief history 1977-79 - 1 st Brazilian Amazon deforestation inventory 1:500.000 Landsat B&W Hardcopies Visual interpretation Digital area calculation
PRODES: INPE s Amazon Monitoring Program A brief history 1988-2002 Yearly Inventory 1:250.000 Landsat Color composites Visual interpretation Digital area calculation
PRODES: INPE s Amazon Monitoring Program A brief history INPE s new development in the 90 s Three bands color composite SPRING Geographic Information Processing System Features applied to PRODES: SOIL Linear Mixing Model Image Segmentation Object Oriented Classification SHADOW Raster and Vector Edition GREEN VEGETATION
OF (RGB) TM IMAGE PRODES: INPE s Amazon Monitoring Program A brief history 1997-2005 SPRING based digital Landsat image analysis Linear Mixing Algorithm Image Segmentation Object oriented classification + editing Typical deforestation
PRODES: INPE s Amazon Monitoring Program A brief history 2005-Present: Visual intepretation in TerraAmazon GDBM Platform TerraAmazon overview: Alllows multisource and multitemporal data Allows multiple interpreters Real-time GDB update Lock-in lock-out control TerraLib open code Interpretation time: (SPRING) DIP+Edition: 20-40 hs (TerraAmazon) VI: 5-10 hs
Multidata approach CCD/CBERS DMC LANDSAT LANDSAT CBERS SISPRODES State boundaries
PRODES schedule: 1st Semester: April :Complement of 2011 inventory 2nd Semester First deforestation estimate Data Acquisition: Jun-Aug Product delivery: November (in time for UNFCCC COP)
Alternative to lack of Landsat DMC coverage National scale at INPE s Data Archival and Distribution Center Free access - US$ 3 Mi
o 53 30 38 s 10 24 45 - Peixoto de Azevedo/MT - Landsat 225/67 Set/2010 Jul/2011
o 57 00 05 s 11 49 48 - Porto dos Gaúchos/MT 2010 - Landsat 227/68 Jun/2010 Ago/2011
PRODES: INPE s Amazon Monitoring Program Internet Access Full access to source images,maps and statistics
PRODES: INPE s Amazon Monitoring Program Transparency paradigm (since 2003): Public awareness Basis for spatial/temporal analysis Basis for carbon emission report Government decision making
Km2/year Benchmarks of PRODES products and engagement in national deforestation control program: 2003 - Release of PRODES products in the internet 2003 PPCDAm conceiving and implementation - Proposal of DETER 2004 PPCDAm formalized DETER implemented 2005 on Reduced deforestation - Agreement with Norway Government AMAZON FUND 35000 30000 25000 20000 15000 10000 5000 0 88 (a) Yearly Deforestation in Brazilian Amazon 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 0809 10 11 (b) (b) (d) Year
30000 25000 20000 Média 1995-2006 = 19.500 km2 15000 10000 5000 0 2001 2003 2005 2007 2009 2011 2013 2015 2017 2019
PRODES in PPCDAm Global and regional indicator of policy efficiency Criterion for list of critical municipalities
Main consequences of PRODES Evaluation of efectivity of deforestation control policies Public awareness of the deforestation in the amazon (www.obt.inpe.br/prodes) Means for the concerned society to demand governmental action on the issue Support for policy making at regional and local scales
But PRODES is not enough... Results are obtained and published after the damage is done Difficulty of the government to punish ilegal deforestation after it is installed Demands for faster information production
DETER Near Real Time Deforestation Detection with MODIS
EXTENSÃO TOTAL_AGOSTO 2003 SOBRE IMAGEM MODIS (22abr-07maio 2004)
CLASSIFICAÇÃO DA IMAGEM MODIS (mosaico 22 abril a 07 maio de 2004) EXTENSÃO TOTAL_AGOSTO 2003 + MUDANÇA ATÉ 07 MAIO + IMAGEM
NOVA EXTENSÃO TOTAL ATÉ 07 DE MAIO DE 2004 SOBRE IMAGEM MODIS (22abr-07maio)
EXTENSÃO TOTAL ATÉ 07 DE MAIO DE 2004 SOBRE IMAGEM DE 21 MAIO
CLASSIFICAÇÃO DA IMAGEM MODIS DIÁRIA DE 21 DE MAIO DE 2004
Report by automatic e-mail of New deforestation detected in Conservation Unities and municipalities
Impact of DETER Information for strategic decisions by deforestation control agencies - Federal, State and Municipal levels Better efficiency in law enforcement Immediate public awareness by monthly information dissemination (www.obt.inpe.br/deter)
DETER New Paradigm MODIS 25 ha minimum mapping unity is today very limiting Need to move to better sensors Options ResourceSat/AWiFS DMC Future: CBERS3/AWFI (60m, 5 days) Amazonia-1 (40m, 5 days)
DETER-based Policies for Deforestation Control: Law Enforcement
Deforestation hotspots DETER 2011/INPE
Monitoring the State of the Forest: DEGRAD e DETEX
Corte seletivo Resultados Finais: 85 cenas UF 2007(KM2) 2008(KM2) Acre Amazonas Amapá Maranhão Mato Grosso Pará Rondônia Roraima Tocantins 122.80 257.46 50.42 1976.75 8951.14 3899.23 412.32 137.28 179.71 121.34 412.42 63.18 4230.70 12987.74 8264.82 643.32 171.39 522.18 TOTAL 15987.10 27417.10
Corte seletivo Resultados Finais 2007 e 2008 Degradação em 2007 convertida a corte raso em 2008: UF Acre Amazonas Amapá Maranhão Mato Grosso Pará Rondônia Roraima Tocantins KM2 12.41 15.33 4.49 169.99 932.93 681.19 107.24 40.03 18.87 TOTAL 1982.48
Thank you
INPE s Capacity Building Program in Remote Sensing Based Tropical Forest Monitoring Claudio Aparecido de Almeida Head, INPE - Regional Center for Amazonia (claudio@dsr.inpe.br )
Amazon Regional Center, Belem
Mission: INPE - Amazon Regional Center To assimilate and operate INPE s Amazon Monitoring Program To become an international reference in capacity building for satellite based tropical forest monitoring
INPE Amazônia Equipe Staff 2009 2010 2011 INPE 6 6 6 Hired 6 10 21 Scholarship 1 4 5 Trainee 6 7 9 Total 19 27 41
INPE Amazonia Staff/ Function 2011
Course Program (2 weeks) 1. Experience acquired with Amazon Program: PRODES, DETER, DEGRAD, TERRACLASS 2. Data base management 3. Terra family software 4. Cartography 5. Geographic data processing 6. TerraAmazon System Database administrator Digital image processing, edition, data analysis
INPE s open source image processing and geographic information analysis and management: TerraLib based Terra* family: http://www.dpi.inpe.br/terralib/ http://www.dpi.inpe.br/terraview_eng/index.php SPRING http://www.dpi.inpe.br/spring/english/index.html
Participant profiles 1 - Database Administrator IT background Experience in data base management Government employee 2 - Remote Sensing Background in any Environmental Science Basic knowledge in remotes sensing Government employee
Current cooperation and training programs: FAO - 2 years,; 6 courses/year ; target : 200 students (Tropical countries) JICA-ABC 3 years, 3 course/year; IBAMA staff and Amazonian Countries 108 students already ACTO 2 years, 2 courses/year; ACTO countries; target 35 students and continued help-desk
JICA 2010 Bolivia, Colombia, Ecuador, Guatemala, Peru
JICA 2011 Angola, Mozambique, Paraguai
JICA 2011 Malasia, Thailand, Indonesia, Philippines, Cambodja e Vietnam
FAO - 2010 Mexico, Ecuador, Guiana, FAO Headquarter
OTCA-2011 Bolivia, Ecuador, Colombia, Venezuela, Peru
FAO - 2011 Inge Jonckheere (FAO) Claudio Almeida (INPE) Democratic Republic of Congo, Papua-New Guinea, Vietnam
Forests are not just Carbon! Biodiversity Environmental services People
Thank you again