1 / 28

INPE´s contribution to Statistics from Space: data, applications, and software

“ Statistics from Space ”, Gates Foundation Seattle, 5-6 November 2008. INPE´s contribution to Statistics from Space: data, applications, and software. Gilberto Câmara Director General National Institute for Space Research (INPE) Brazil. Data: INPE´s vision for the future.

badu
Download Presentation

INPE´s contribution to Statistics from Space: data, applications, and software

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. “StatisticsfromSpace”, Gates Foundation Seattle, 5-6 November 2008 INPE´s contribution to Statistics from Space: data, applications, and software Gilberto Câmara Director General NationalInstitute for SpaceResearch (INPE) Brazil

  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. “If Brazil can do it, US can do it too”

  5. CBERS as a global satellite CBERS ground stations will cover most of the Earth’s land mass between 300N and 300S

  6. INPE’s space technology agenda “Global EO” – Brazil as global player in earth observation Bilateral agreements (China, Germany, UK) Multilateral Agreements (CEOS, GEO)

  7. INPE´s Remote Sensing Satellites: 2007-2020 CBERS: China Brazil Earth Resources Satellite Amazônia-1: 100% Brazilian 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 CBERS-4 CBERS-6 CBERS-5 CBERS-SAR CBERS-3 CBERS-2B Amazônia-1 Amazônia-3 Amazônia-2 N.B.: CBERS-2, launched 2003, is still operational

  8. 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 Amaz-1/2 AWFI CBERS-5/6 WFI CBERS-2 Agriculture MODIS Mapping 1 5 50 500 1 10 100 1000 Resolution (metres)

  9. Sensors for monitoring tropical areas 780 km swath Amazônia-1 AWFI 40 m groundresolution 5 days global coverage 720 km swath CBERS-3/4 AWFI 60 m ground resolution 5 days global coverage 120 km CBERS-3/4 CCD 20 m ground resolution 26 days global coverage CBERS-3/4 MUX 60 km 5 m ground resolution 52 days global coverage (5 days with mirror)

  10. CBERS-2B Sensor Configuration WFI 260 m (890 km) CCD 20 m (120 km) PAN 2.5 m (27 km) 0.4 0.5 0.7 0.9 1.1 1.5 1.7 2.3 2.5 mm Built by China Built by Brazil

  11. CBERS-2 CCD, Minas Gerais, Brazil

  12. CBERS-2B CCD-HRC combinedimage in São Felix (Pará, Brasil) Approximatescale 1:10.000

  13. CBERS 3 – 4 Sensor Configuration WFI 73 m (860 km) MSS 40 m (120 km) CCD 20 m (120 km) MUX 10 m (60 km) PAN 5 m (60 km) 0.4 0.5 0.7 0.9 1.1 1.5 1.7 2.1 2.3 µm Built by China Built by Brazil

  14. Amazônia-1 (cooperation with UK) AWFI Global land imaging every 3 days together with CBERS-3 (RAL-UK will alsoinclude a 10-meter camera) 0,45-0,52B 0,52-0,59G SpectralBands(m) 0,63-0,69R 0,77-0,89NIR Spatialresolution(m) 40 Groundswath(km) 780 5 Revisit (days)

  15. SRTM DEM Coverage 90x90m Digital Elevation Model (30x30m withheld by US govnt)

  16. Data: SRTM for Africa INPE will produce and distribute an STRM-based elevation data in 30 x 30 m for Africa

  17. Interpolation of SRTM data Interpolated 30x30 m Kriged SRTM Original 90x90 m SRTM (9x zoom)

  18. Shaded relief from SRTM

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

  20. Applications: Deforestationmonitoring DETER: 15-day alerts of new large deforested areas

  21. Applications: Sugarcane area mapping

  22. Software: Open source GIS Visualization (TerraView) Modelling (TerraME) Spatio-temporal Database (TerraLib) Statistics (R interface) Data Mining(GeoDMA)

  23. 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: 5 million polygons, 500 GB images

  24. Software: R-Terralib interface R data from geoR package. Loaded into a TerraLib database, and visualized with TerraView. Spatial statistics functions in R can access TerraLib database

  25. Cell Spaces GeneralizedProximityMatrix – GPM Hybrid Automata model Nested scales Software: Land modelling with cellular automata TerraME: Develop dynamical models in cell spaces

  26. % deforested 0.0 – 0.1 0.1 – 0.2 0.2 – 0.3 0.3 – 0.4 0.4 – 0.5 0.5 – 0.6 0.6 – 0.7 0.7 – 0.8 0.8 – 0.9 0.9 – 1.0 Land Change in Amazonia (Scenario for 2015) Cell space model developed using TerraME

  27. INPE´s results have worldwide impact...

  28. …and scientific credibility “Today, Brazil’s monitoring system is the envy of the world. INPE has its own remote sensing satellite, a joint effort with China, that allows it to publish yearly totals of deforested land that scientists regard as reliable.” TerraAmazon

More Related