INPE

1
INPEs contribution to REDD Capacity Building
data, applications, and software
REDD Capacity Building

• Gilberto Câmara
• Director General
• National Institute for Space Research (INPE)
• Brazil

2
Data INPEs vision for the future
A constellation of satellites and sensors will
provide free earth observation data for all
countries on Earth
3
A few satellites can cover the entire globe, but
there needs to be a system in place to ensure
their images are readily available to everyone
who needs them. Brazil has set an important
precedent by making its Earth-observation data
available, and the rest of the world should
follow suit.
4
CBERS as a global satellite
Miyun
Urumchi
Aswan
Maspalomas
Ghuangzhou
Chetumal
Accra(?)
Nairobi(?)
Boa Vista
Darwin(?)
Cuiabá
Alice Springs (?)
Joburg
CBERS ground stations will cover most of the
Earths land mass between 300N and 300S
5
INPEs Remote Sensing Satellites 2007-2020
CBERS China Brazil Earth Resources Satellite
Amazônia-1 100 Brazilian
2016
2014
2015
2017
2019
2013
2012
2011
2010
2009
2008
2007
2018
CBERS-4
CBERS-6
CBERS-5
CBERS-SAR
CBERS-3
CBERS-2B
Amazônia-1
Amazônia-3
Amazônia-2
6
Optical Satellites Forestry and Agriculture
100
Technology 2000
MUX CBERS-3/4
50
Technology 2008
Forestry
CCD CBERS-2/3/4
Mapping
MUX CBERS-5/6
Technology 2015
Land Use
LANDSAT
Description
10
Revisit (days)
DMC-2
Deforestation Detection
5
AWFI CBERS-3/4
AWFI CBERS-5/6
AWFI Amaz-1/2
WFI CBERS-2
Agriculture
MODIS
Mapping
1
50
5
500
1
10
100
1000
Resolution (metres)
N.B. DMC-2 has no global coverage
7
Applications Deforestation monitoring
230 scenes Landsat/year
Taxa anual de desmatamento
PRODES Yearly detailed estimates of clear-cut
areas
8
Applications Deforestation monitoring
DETER 15-day alerts of new large deforested areas
9
TerraAmazon open source software for
large-scale land change monitoring
116-112
116-113
166-112
Spatial database (PostgreSQL with vectors and
images) 2004-2008 data 3 million polygons, 300
GB images, 250 GB vector data
10
Methodology
Original Image
Soil Image
Vegetation Image
Shade Image
11
Methodology
Input Soil Image
Output Vectors
12
Methodology
Input Image
Input Image and Output Clouds
K-means classification
13
Methodology
Interpreter has to check-in cells to work.
14
Results
Final Map Classes
Forest Deforestarion Clouds No Forest Hydrography
15
Belém
INPEs new Regional Centre for Amazonia Local
and international capacity building for
monitoring tropical forests
new facilities (under construction)
16
Next steps
INPE will promote a workshop in Belem in 2nd half
of 2009 to present TerraAmazon and discuss
technology transfer to rain forest nations
Interested? email to Thelma Krug
ltthelma.krug_at_dir.inpe.brgt