Satellite Monitoring of the Brazilian Amazon

Transcription

1 Satellite Monitoring of the Brazilian Amazon GEOSS in Americas Symposium Mangaratiba, R.J., Brazil, September 17-19, 2007 Dalton de Morisson Valeriano MCT/INPE

2 Summary Deforestation Assessment Projects: PRODES Yearly deforestation rate assessment DETER Near-real time deforestation detection Forest Degradation Assessment Project: DETEX Detection of selective logging activities

3 INPE s Amazon Deforestation Monitoring Project - PRODES

4 233 Landsat Images

5 Application of linear mixing model SOIL SHADOW GREEN VEGETATION

6 DIMENSIONALITY REDUCTION OF (RGB) TM IMAGE BY GENERATING SHADE FRACTION IMAGE, WHICH ALLOWS THE DISCRIMINATION OF SURFACE TARGETS Burned areas Primary forest Shadow image Regrowth Typical deforestation

7 Image segmentation and classification

8 Change dfetection with masking of previous deforestation

9 PRODES main limitation cloud cover (Asner, 2001)

10 Multidata approach CCD/CBERS DMC LANDSAT LANDSAT CBERS SISPRODES State boundaries

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14 Deforestation rate calculation Extension (km 2 ) dry season dry season dry season Rate 01/02 Inc 01/02 Rate 00/01 Inc 00/01 Time Jul00 Jan01 Jul01 Jan02 Jul02 Jan03

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16 Deforestation in Rondônia

17 Deforestation in Rondônia

18 Deforestation in Rondônia

19 Deforestation in Rondônia (detail) 2003

20 Deforestation in Rondônia (detail) 2004

21 Deforestation in Rondônia (detail) 2005

22 Main applications of PRODES Evaluation of efectivity of deforestation control policies Public awareness of the deforestation in the amazon ( Means for the concerned society to demand governmental action on the issue Basis for Carbon Market negotiations - REDD

23 But PRODES is not enough... Results are obtained and published after the damage is done Difficulty of the government to punish ilegal deforestation after it is installed Demands for faster information production

24 DETER Near Real Time Deforestation Detection with Moderate Resolution Data

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37 Shapefile of all deforestation mapped on that month

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39 Report by automatic of New deforestation detected in Conservation Unities and municipalities

40 Impact of DETER Information for strategy development by deforestation control agencies - Federal and State levels Better efficiency in law enforcement efforts Immediate public awareness by monthly information dissemination (

41 Plans for next years:.assimilation of PALSAR data.monitoring of Forest Degradation

42 Experience of deforestation detection with JERS-1

43 Limitations of co-polarized data Difficulty in detection of new deforestation with L- HH data Stumps and laying logs promote backscatter at various levels, depending of structure and orientation Backscatter may be higher, lower or... equivalent to forest backscatter

44 Example

45 Example

46 But there is hope (it s always our last resort) Mechanisms for equivalent forest-deforestation backscatter levels may not occur in crosspolarized data Collapse of forest structure with deforestation must reduce volumetric scattering PALSAR LHV data will be evaluated to yield a deforestation assessment during rainy season

47 Potential value of PALSAR to the Amazonian Deforestation Monitoring Program Independence of cloud conditions increased coverage Addititon of new technology to the Program Increase the public awareness that no new deforestation will pass undetected

48 DETEX Detection of Selective Logging

49 DETEX Objectives: Detect and map areas with selective logging activities Inform the pattern and intensity of the logging activity

50 DETEX Raw CCD/CBERS-2: /06/

51 DETEX Ratioing of Soil and Vegetation images /08/ /06/2004

52 DETEX Ratioing of Soil and Vegetation images /08/2004

53 DETEX Ratioing of Soil and Vegetation images /07/2004

54 DETEX Ratioing of Soil and Vegetation images /09/2004

55 DETEX Ratioing of Soil and Vegetation images /10/2004

56 DETEX Monitoring Strategy: Within PRODES: Yearly detection and mapping selective logging areas in Public Forests in the Amazon Region Within DETER: Monthly detection and mapping selective logging areas with high resolution data in areas designed for concessions

57 Public forest districts in Amazon Region

58 Thank you