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The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

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Page 1: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

The road to Paris: Brazilian emissions and the rôle of Geoinformatics

Gilberto Câmara (INPE/IFGI)

Page 2: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

REDD-PAC project team(www.redd-pac.org)

Alexandre Ywata (IPEA)Aline Soterroni (INPE)Fernando Ramos (INPE)Gilberto Câmara (INPE)Pedro Andrade (INPE)Ricardo Cartaxo (INPE)

Aline Mosnier (IIASA)Florian Kraxner (IIASA)Johannes Pirker (IIASA)Michael Obersteiner (IIASA)Rebecca Mant (WCMC)Valerie Kapos (WCMC)

Page 3: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

REDD+ Policy Assessment Centerwww.red-pac.org.br

Partner Institutions:

Duration: November 2011 – March 2016

Page 4: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Global Carbon Cycle

GHG emissions and sinks for 2004–2013 (GtCO2/yr)

Data: CDIAC/NOAA-ESRL/GCP

Page 5: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Global Carbon Budget

Page 6: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Global fossil fuel and cement emissions for 2014

37 GtCO2, growth of 2.5% per year

Page 7: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Land-Use Change Emissions

CO2 emissions: 3.3 ± 1.8 GtCO2 during 2004–2013Decrease in emissions since 1990

Indonesian peat fires

Page 8: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Total Global Emissions

Total global emissions: 39.4 ± 3.4 GtCO2 in 2013, 42% over 1990

Land-use change: 36% in 1960, 19% in 1990, 8% in 2013

Page 9: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Preparing for Paris: Broadening global climate action well beyond Kyoto

Global agreement on staying below 2°Celsius

Countries need to make concrete pledges in Paris COP-21

source: EC DG Climate Action

Page 10: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

UNFCCC roadmap: Durban, Warsaw, Lima, Paris

A new international agreement with contributions from all countries to keep global warming less than 20 C

source: EC DG Climate Action

Page 11: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

What does 1oC more means?

Page 12: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

What world are we heading to?

Page 13: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Water availability: a fundamental issue

Page 14: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Projected precipitation changes: 2000 - 2100RCP8.5

Page 15: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

(Source: after Lenton et al. 2008)

Tipping Elements in the Earth System

Page 16: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

What are the current trends?

Page 17: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Which countries emit most GHG?

Page 18: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

What is the effect of pledges made for COP-21?

Page 19: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Trends in Emissions: Renewables in USA

Page 20: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

What is being proposed for Paris?

Page 21: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

What are the likely trajectories on Brazilian emissions?

20002010

20202030

0

500

1000

1500

2000

2500

1460

599

360

327

406

445

296

366

505.08

76

95104.5

Residues IndustryEnergyAgricultureLUC

?

Page 22: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Brazil’s pledge to COP-15: reducing deforestation

Brazil has a policy for Amazon deforestation until 2020 Brazil needs sound guidance for land use policies beyond 2020

Page 23: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Brazil’s dilemma: deep-sea oil or renewables?

Page 24: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Brazil: Do biofuels cause indirect land change?

Page 25: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Brazil: Projected direct land change from biofuels (2020)

source: Lapola et al (PNAS, 2010)

Page 26: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Brazil: Projected indirect land change from biofuels (2020)

source: Lapola et al (PNAS, 2010)source: Lapola et al (PNAS, 2010)

Page 27: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

GLOBIOM: Global Biosphere Management ModelPartial equilibrium model: Agriculture, Forestry and Bioenergy sectors

MARKETS

Population & Economic Growth & Exogenous Demand Shocks

CommodityPrices and Quantities

Land Use

Environmental effectsLAND

SPAT

IAL

RESO

LUTI

ON

REG

ION

Wood Crops

Forest Cropland Pasture Other

Livestock

DEMAND

SUPPLY

source: IIASA

Page 28: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

What are the “known unknowns”?

Page 29: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Brazil’s vegetation map (IBGE)

Page 30: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Space first, time later

Spatial data resolution is better than temporal resolution

Hansen et al. (2013)

Page 31: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Hansen 2000 - ForestMODIS 2000 - Forest

Page 32: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Forest/Biomes MODIS 2000 MODIS 2010 HANSEN

Amazon 350.289 340.696 355.888

Caatinga 14.401 14.743 13.162

Cerrado 43.782 42.859 52.556

Mata Atlântica 33.630 34.896 37.318

Pantanal 5.363 6.476 4.905

Pampa 2.571 2.133 2.835

TOTAL 450.036 441.803 466.663

Legal Amazon 371.536 362.022 383.716

MODIS and HANSEN

Page 33: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Cerrado: a tropical savanna with forests

Page 34: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Space first, time later or time first, space later?

Space first: classify images separatelyCompare results in time

Time first: classify time series separatelyJoin results to get maps

Page 35: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Space first can lead to inconsistent land trajectories

Data sources: INPE, NASA. Analysis by M. Buurman

MODIS land cover: unrealistic forest gains and losses

Page 36: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)
Page 37: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Base maps for GLOBIOM-Brazil

Forest 2000 Livestock 2000

Page 38: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Validation: GLOBIOM x IBGE for 2010

Page 39: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

16.93 Mha 16.53 Mha

PRODES/INPE GLOBIOM-Brazil projection

Validation: Accumulated Deforestation 2001-2010

model produces consistent estimate of deforestation (2000-2010)

Page 40: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Scenarios for land use policies

Page 41: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Environmental Debts and Surpluses (2010)

Debts

Surpluses

Page 42: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Projections for total forest in Amazonia

Page 43: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Projections for total forest in Cerrado

Page 44: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Projections for forest regrowth

Page 45: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Crop production grows, grassland decreases

2000 2010 2020 2030 2040 20500

20

40

60

80

100

120

Croplands (Mha) Cattle and pasture (heads and Mha)

Projections of GLOBIOM-Brasil model

Page 46: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Relative change in bovine productivity

Page 47: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Brazil’s new Forest Code: zero net emissions from deforestation after 2030

Projections of GLOBIOM-Brasil model

(BAU = “business as usual”, FC = Forest Code)

Page 48: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Brazil’s emissions from crops and cattle

Page 49: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

49

Energy policy is crucial for our future emissions

20002010

20202030

0

500

1000

1500

2000

2500

1460

599360

140

296

366

505.08

650

327

406446

480

Residues IndustryAgricultureEnergyLUC

Page 50: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Innovation + policies = low carbon economy

2010 2020 20300%

5%

10%

15%

20%

25%

30%

ConservativeInnovative

With the right carbon tax, biofuels can be 30% of energy matrix

Page 51: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

How do we go global?

Differences btw GLC, MODIS, GLOBCOVER (Kaptué et al., 2010)

Page 52: The road to Paris: Brazilian emissions and the rôle of Geoinformatics Gilberto Câmara (INPE/IFGI)

Software goes where the data is!

Global Land Observatory: describing change in a connected world

SciDB: array database for big scientific data

Free satelliteimages

R: Powerful data analysis methods