1. INPE´s contribution to REDD Capacity Building: data, applications, and software Gilberto Câmara Director General National Institute for Space Research (INPE) Brazil REDD Capacity Building

2. Data: INPE´s 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 CBERS ground stations will cover most of the Earth’s land mass between 30 0 N and 30 0 S Cuiabá Boa Vista Chetumal Maspalomas Aswan Jo´burg Nairobi(?) Accra(?) Urumchi Miyun Ghuangzhou Darwin(?) Alice Springs (?)

5. INPE´s Remote Sensing Satellites: 2007-2020 20162014 CBERS-5 CBERS-4 Amazônia-1 CBERS-3 2015 Amazônia-2 CBERS-6 20172019 CBERS-SAR Amazônia-3 20132012201120102009200820072018 CBERS-2B CBERS: China Brazil Earth Resources Satellite Amazônia-1: 100% Brazilian

6. Optical Satellites: Forestry and Agriculture 1 10 100 1101001000 Resolution (metres) Revisit (days) WFI CBERS-2 CCD CBERS-2/3/4 AWFI CBERS-3/4 MUX CBERS-3/4 Technology 2008 Technology 2015 Technology 2000 50 5 AWFI CBERS-5/6 MUX CBERS-5/6 Mapping Agriculture Mapping Forestry Deforestation Detection Description Land Use 5 AWFI Amaz-1/2 LANDSAT DMC-2 500 MODIS N.B.: DMC-2 has no global coverage

7. ~230 scenes Landsat/year Taxa anual de desmatamento PRODES: Yearly detailed estimates of clear-cut areas Applications: Deforestation monitoring

8. DETER: 15-day alerts of new large deforested areas Applications: Deforestation monitoring

9. 166-112 116-113 116-112 TerraAmazon – open source software for large-scale land change monitoring Spatial database (PostgreSQL with vectors and images) 2004-2008 data: 3 million polygons, 300 GB images, 250 GB vector data

10. Methodology Soil Image Vegetation Image Shade Image Original Image

11. Methodology Input Soil ImageOutput Vectors

12. Methodology K-means classification Input Image Input Image and Output Clouds

13. Methodology Interpreter has to “check-in” cells to work.

14. Results Final Map Classes: Forest Deforestarion Clouds No Forest Hydrography

15. INPE´s new Regional Centre for Amazonia: Local and international capacity building for monitoring tropical forests Belém new facilities (under construction)

16. INPE will promote a workshop in Belem in 2nd half of 2009 to present TerraAmazon and discuss technology transfer to rain forest nations Next steps Interested? email to Thelma Krug