TerraAmazon - The Amazon Deforestation Monitoring System - Karine Reis Ferreira

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1 TerraAmazon - The Amazon Deforestation Monitoring System - Karine Reis Ferreira GEOSS Users & Architecture Workshop XXIV: Water Security & Governance - Accra Ghana / October 2008

2 INPE National Institute for Space Research Brazilian research institute Main campus is located in São José dos Campos in São Paulo state 1,600 employees 6 graduate courses (ex.: astrophysics, computer science, meteorology and remote sensing)

3 INPE National Institute for Space Research Some researches and services: CBERS China-Brazil Earth Resources Satellite Weather Forecast and Climate Studies PRODES: Monitoring of Amazon Deforestation PROARCO: Fire Monitoring Free geo softwares Free satellite images! CBERS 2B

4 DPI Image Processing Division History developing geographical softwares Free GIS Geographical files and DBMS Desktop and Multiplatform Image Processing, Spatial Analysis, Edition, downloads Free and Open Source Geographical Software Library (TerraLib) and Geographical Application (TerraView) Spatial DBMS Client-Server and Multiplatform now

5 TerraLib Software library base to develop geographical applications. Developed by INPE. C++ language. Free and Open Source. Extensive use of DBMS (such as MySQL and PostGIS). TerraLib DBMS Provides spatial operations,image processing, spatial analysis,...

6 TerraAmazon The Amazon Deforestation Monitoring System. Built using the library TerraLib. Developed by FUNCATE. C++ language and QT toolkit. Free and Open Source. Extensive use of DBMS. TerraLib Linux and Windows. amazon DBMS

7 TerraView Geographical application built using TerraLib. Developed by INPE. C++ language and QT toolkit. Free and Open Source. Extensive use of DBMS. Linux and Windows. view TerraLib DBMS

8

9 PRODES Project to monitor the Amazon deforestation satellite images Ex.: increase in the deforestation from 1985 to 2000

10 PRODES Main Goal: Produce deforestation maps of the Brazilian Amazon. Calculate the annual deforestation rate. Every year these maps and rate are produced and disseminated through the Internet.

11 TerraAmazon The Amazon rainforest monitoring system of the PRODES project. Develop by Foundation for Space Science, Technology and Applications

12 Main Features Brazilian Amazon biome: 4,7 million Km2 221 scenes and each scene is divided in cells (0.25 degrees) Complete coverage of satellite images, with 20 to 30 meters resolution: Landsat, CBERS and DMC Multi-satellites: minimize cloud coverage guarantee data availability in case of a satellite operational breakdown.

13 Main Features Client-server architecture: a geographical database server and multi-users. Database server: PostgreSQL DBMS Concurrent environment: each interpreter has to lock the cells that he will work on, before starting the process. A lot of image processing functions are used during this process: georeferencing using control points, segmentation, classification,... PostgreSQL

14 Methodology Import Images LANDSAT - TM CBERS - CCD DMC Georeferencing Mixture model Segmentation Classification Interpretation and Edition Auditing Different formats: JPEG, GEOTIFF, RAW, ESRI ASCII GRID,... Dissemination PostgreSQL

15 Methodology Import Images Interpolation: Georeferencing - Near Neighborhood Mixture model - Bilinear Segmentation - Bicubic Classification Interpretation and Edition Auditing Interactive interfaces Dissemination Equalization functions

16 Methodology Import Images Georeferencing Mixture model Segmentation Classification Interpretation and Edition Auditing Dissemination Images with low cloud coverage have a different treatment from those with hight coverage! Images with low cloud coverage

17 Methodology Images with low cloud coverage Import Images Georeferencing Mixture model Segmentation Segmentation Classification Interpretation and Edition Auditing Dissemination Mask: polygon that defines the image areas which must NOT be considered during the process. (accumulated deforestation + non forest + hydrography)

18 Methodology Import Images Images with low cloud coverage Georeferencing Mixture model Segmentation Classification Interpretation and Edition Auditing Dissemination Input soil image + segmentation result (polygon)

19 Methodology Images with high cloud coverage Import Images Georeferencing Mixture model Segmentation Classification K-means classification input image + output cloud class (as vector) Interpretation and Edition Auditing Dissemination Raster to Vector

20 Methodology Import Images Original images segmentation result (polygons that group similar pixels) Georeferencing Mixture model Segmentation Classification classification result (polygons that represent clouds and their shades) Interpretation and Edition Interpretation and Edition Auditing Dissemination Mask: accumulated deforestation + no forest + hydrography Polygons classified as deforestation, cloud, etc..

21 Methodology Import Images Georeferencing choose a scene (satellite, path, row and date) and start an edition process Mixture model Segmentation Classification Interpretation and Edition Auditing Dissemination PostgreSQL

22 Methodology Import Images Georeferencing Interpreter has to lock the cells (inside the chosen scene) to work on. Mixture model Segmentation Classification Interpretation and Edition Auditing Dissemination PostgreSQL

23 Methodology Import Images Georeferencing Mixture model Segmentation Classification Interpretation and Edition Auditing Dissemination The red cells are blocked by and for other users and green cells are enabled for this user

24 Methodology Import Images Georeferencing Mixture model Segmentation Classification Interpretation and Edition Auditing Dissemination Mask: accumulated deforestation + no forest + hydrography

25 Methodology Import Images Georeferencing Mixture model Segmentation Classification Interpretation and Edition Auditing Dissemination Mask: accumulated deforestation + no forest + hydrography

26 Methodology Import Images Georeferencing Mixture model Segmentation Classification Interpretation and Edition Auditing Dissemination New drawn polygon classified as deforestation

27 Methodology Import Images Georeferencing - All scenes are audited; Mixture model - Auditors use the same edition tools of interpretation; Segmentation Classification Interpretation and Edition Auditing Dissemination - Each cell can be approved or not by the auditors; - Refused cells are returned to the interpreter;

28 Methodology Import Images Georeferencing Mixture model Segmentation Classification Interpretation and Edition Auditing Dissemination Deforestation rates by year: Deforestation maps:

29 Final Remarks Responsible for TerraAmazon development: Vanildes Ribeiro This presentation is based on a demonstration about TerraAmazon prepared by her and presented in the conference FOSS4G in TerraAmazon is free and open source but it is not available for downloading. It will be available in the next year, around July.

30

31 Hands-on workshop using TerraView We will introduce TerraView by doing a hands-on workshop today in the afternoon! Exercise 01: Create a new TerraView database Africa data Exercise 02: Analyze geographical data by creating graphics and grouping objects based on their attributes

32 Hands-on workshop using TerraView We will introduce TerraView by doing a hands-on workshop today in the afternoon! Exercise 03: Geographical operations Clipping Exercise 04: Access a WMS server

33 Thank you! Karine Reis Ferreira home page:

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