BADDAM PROJECT

MINISTÉRIO DA CIÊNCIA E TECNOLOGIAINPE - Instituto Nacional de Pesquisas EspaciaisCoordenação Geral de Observação da Terra - OBTPrograma Institucional Amazônia - AMZDivisão de Sensoriamento Remoto - DSRDivisão de Processamento de Imagem - DPI

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POSSIBILITY TO PRESENT THE GROSS DEFORESTATION DATA OF BRAZILIAN AMAZÔNIA ON A CARTOGRAPHIC BASE CONTAINING THE SPATIAL DISTRIBUTION

OF THE ANTROPIC ACTIVITIES IN THIS REGION.

POSSIBILITY TO UTILIZE THE GROSS DEFORESTATION DATA OF BRAZILIAN AMAZÔNIA TO CROSS OR INTEGRATE WITH OTHER INFORMATION.

POSSIBILITY TO IMPLEMENT AND MAKE AVAILABLE A DIGITAL DATABASE (BADDAM PROJECT) CONTAINING SEVERAL IMPORTANT INFORMATION OF

BRAZILIAN AMAZÔNIA FOR THE USERS COMMUNITY.

OBSERVATION:

THE BADDAM PROJECT WAS CONCEIVED TO BE A BROAD DATABASE INCLUDING SPECIALLY THE INFORMATION GENERATED BY DIGITAL PRODES

WHY DIGITAL PRODES ?

OBJECTIVES OF DIGITAL PRODES

1) TO MAP THE EXTENSION OF GROSS DEFORESTATION OF BRAZILIAN AMAZÔNIA CONSIDERING 1997 AS THE BASE YEAR. 2) TO MAP THE DEFORESTATION INCREMENT AND THE REGROWTH AREAS USING THE 1998 LANDSAT TM IMAGE. 3) TO CHARACTERIZE THE BURNED AREAS OCCURRENCE OVER RECENT AND OLD DEFORESTED AREAS.

OBJECTIVES OF BADDAM PROJECT

TO CREATE AND MAKE AVAILABLE A DIGITAL DATABASE FOR THE BRAZILIAN AMAZÔNIA.

IN THE DIGITAL PRODES , EACH PROJECT REFERS TOONE LANDSAT TM IMAGE ( 229 PROJECTS )

CRITICAL AREAS OF DEFORESTATION OCCURRENCE ( CORRESPONDING TO ~ 75% OF TOTAL GROSS DEFORESTATION )

47 LANDSAT TM IMAGES

11o 05’ S

09o 05’ S

63o 07’ O

61o 07’ O

Rondônia

Brasil

N

0 30 60

km

Ji- Paraná

Jaru

METHODOLOGY DEVELOPED FOR THE DIGITAL PRODES: EXAMPLE

OF APPLICATION USING THE LANDSAT TM (PATH 231 / ROW 067)

GEOREFERENCING OF LANDSAT TM IMAGES AND CREATION OF PROJECTS

LOADING LANDSAT TM IMAGE IMAGE IMPORT AND CREATION OF PROJECTS

# MEAN ERROR OF LANDSAT TM REGISTRATION USING THE TOPOGRAPHICAL CHARTS ~ 30 m (1 Pixel)

MEDIUM LINE AMONG ADJACENT LANDSAT TM IMAGES, SHOWING THE USEFUL AREA OF EACH PROJECT

DIMENSIONALITY REDUCTION OF (RGB) TM IMAGE BY GENERATING SHADE FRACTION IMAGE, WHICH ALLOWS THE DISCRIMINATION OF SURFACE TARGETS

Typical deforestation

Regrowth

Burned areas

Primary forest

DRAINAGE DISCRIMINATION

MEAN TIME SPENT FOR PROCESSING THE 47 TM SCENES OF THE DIGITAL PRODES, INCLUDING ONLY THE MORE IMPORTANT ACTIVITIES

1Pentium II, 300 MHz, RAM 128 Mb Disco 9 Gb 2Pentium I, 200MHz, RAM 98Mb Disco 4 Gb

SPARC-20 SUN WORKSTATION, 96 Mbytes RAM AND 270 Mbytes VIRTUAL MEMORY

(OPERATIONAL ACTUAL TIME 88 - 73 = 15h)

IMAGE SEGMENTATION AND CLASSIFICATION OF SHADE FRACTION IMAGE

SIMILARITY (8) AND AREA (16) THRESHOLD VALUES (MINIMUM MAPPED AREA = 5.76 ha)

THE CLASSIFICATION EDITION DONE BY PHOTOINTERPRETER IN THE COMPUTER SCREEN

THE OVERLAP OF VECTOR DATA ALLOW TO EDIT OR TO ELIMINATE POLYGONS

#AGREGADO-97 ASSURES AND MAINTAINS THE COHERENCE WITH THE HISTORICAL DATA OF ANALOGICAL PRODES

VECTOR LINES OF THE DEFORESTATION EXTENSION OVER LANDSAT TM IMAGE

VIRTUAL EDITION ON THE IMAGE !

It allows to edit several forms of polygons

MAP OF CLASSIFIED IMAGE, CONVERSION OF RASTER TO VECTOR FORM

OBTAINING THE VECTOR OF MAPPED CLASSES

OBTAINING THE FINAL MAP OF THE GROSS DEFORESTATION EXTENSION

CALCULATION OF MAPPED CLASSES

MASKING CLASSES FORSEVERAL APPLICATIONS

THE REPRESENTATION DETAILS OF THE EXTENSION OF 1997 DEFORESTATION AND THE INCREMENT OF 1998

THE REPRESENTATION DETAILS OF THE EXTENSION OF 1997 DEFORESTATION AND THE INCREMENTS OF 1998 AND 1999

Border increment

POST-PROCESSING OF THE EXTENSION OF DEFORESTED AREAS

ELIMINATION OF SMALL POLYGONS

EXAMPLE OF HOW TO COPY POLYGONS FROM DIFFERENT INFORMATION LAYER

LINES OF SEGMENTATION OF SHADE FRACTION IMAGE LINES OF SEGMENTATION OVER RGB TM IMAGE

Savanna

Typical forest

Burned area

COPIES OF POLYGONS FROM DIFFERENT INFORMATION LAYERS

LINES OF SEGMENTATION OF SOIL IMAGELINES OF SEGMENTATION OF SHADE IMAGE

DIGITAL PRODES :

EXAMPLES OF PRACTICAL APPLICATIONS

1) EVALUATION OF BURNING OVER DEFORESTED AREAS

2) MAPPING OF REGROWTH AREAS

3) EVALUATION OF REMAINING FORESTS IN THE THEOBROMA (RO) DISTRICT

MAPPING OF BURNED AREAS

Burning occurred over recent deforested areas (orange color, 186 km2)were discriminated from those occurred over old deforested areas (red color, 964 km2) mapped using 1998 TM image.

Burned areas

Burned areas Burned areas over old deforestationa

( 84%)

Burned areasover recent deforestation

16%)

MAPPING OF REGROWTH AREAS

Regrowth

CLASSIFICATION OF SEVEN REGROWTH CLASSES

THEMATIC REPRESENTATION OF THE EXTENSION OF THE DEFORESTATION AND OF THE OCCUPIED AREAS WITH REBROTA (YEAR 1998)

Regrowth areas mapped using 1998 TM image (yellow color, 1,754 km2) representing 16% of the total gross deforestation (white color).

REGROWTH (yellow)

DEFORESTATION (white)

PRIMARY FOREST(green)

MONITORING THE REMAINING FOREST IN THE THEOBROMA (RO) MUNICIPALITY

FINAL RESULTS

PROPOSED REPRESENTATIONS:

DIGITAL PRODES AND BADDAM

E S T IM AT IVA DO DE S FL OR E S TA M E N T O B RU TO DA A M A ZÔN IA AT É 1997, E IN C R E M E N T O DE 1998, A PA R T IR DE T É C N IC A S DE P R OC E SS A M EN TO DIG ITA L

M IN IS T É R IO D A C IÊ N C IA E T E C N O L O G IA

C o o rd e n a ç ã o G e ra l d e O b s e rv a ç ã o d a Te r ra - O B T P ro g ra m a In s titu c io n a l A m a z ô n ia - A M Z D iv is ã o d e S e n s o ria m e n to R e m o to - D S R D iv is ã o d e P ro c e s s a m e n to d e Im a g e m - D P I

IN P E - In s t itu to N a c io n a l d e P e s q u is a s E s p a c ia is

D IA G R A M A D A A R T IC U L A Ç Ã O D A S IM A G E N S T M -L A N D S AT

C E N A W R S 23 1 /0 6 7Data: 07/07/97Data: 12/09/98

N O TA D E C R É D IT O

M a p ea m en to d a e xte ns ão d o de sflo re s ta m en to bru to d a A m a zô n ia b ras ile ira oc o rrid o a té o an o de 19 9 7 e in cre m en to d o d e sflore sta m e n to re la tiv o à 19 9 8, u til iz an d o té cn ica s d e s eg m e n ta ç ão de im a ge n s so m bra , de riva da s do m o d elo de m is tu ra es pe c tra l e c la s sific aç ão n ão su p erv ision a da p o r re g iõ es , im p lem en ta da s n o S is te m a de P ro ce ss am en to de In fo rm a ç õe s G eo rre fe re nc iad as ). P ara m an ter e a ss eg u rar a c o erê n cia c om os d a do s h istó ric os do pro jeto P R O D E S , co n sid ero u -s e , c o m o refe rê nc ia , os d ad o s d a in terp re ta ç ão d o u ltim o o ve rla y, re la tivo s à e x te n sã o do d e sflore sta m e n to a té o a no d e 19 9 7.

S P R IN G (

SISTEM A DE PROJEÇÃO UTMDATUM , HORIZONTAL SAD-69

E S C A L A 1 : 2 5 0.0 0 0

LE G E N D A

Tem aÁrea (km )2

PRODES DIGITAL

FLO RE STA-97

D ESFLO .-97

D ESFLO .-98

ÁG U A

N UV EM

TO TAL D O S TEM A S

N ÃO -FLOR .

16.547

10.252

195

47

2

27.738

# EXAMPLE OF FINAL REPRESENTATION PROPOSED FOR THE DIGITAL PRODES PROJECT

DETAIL OF THE FINAL REPRESENTATION PROPOSED FOR THE DIGITAL PRODES PROJECT

#EXAMPLE OF FINAL REPRESENTATION PROPOSED FOR THE BADDAM PROJECT

DETAIL OF THE FINAL REPRESENTATION PROPOSED FOR THE BADDAM PROJECT

FINAL CONSIDERATIONS

THE METHODOLOGY UTILIZED MADE POSSIBLE TO ACCOMPLISH THE DIGITAL PRODES AND ALLOWED TO CREATE THE DIGITAL DATABASE OF BRAZILIAN AMAZÔNIA (BADDAM)

CRITICAL AREAS OF DEFORESTATION OCCURRENCE

THE CRITICAL AREAS CORRESPOND TO 47 LANDSAT TM IMAGES

MATO GROSSO STATE

RONDÔNIA STATE

OBSERVED PROBLEMS

1) SYSTEMATIC DISPLACEMENT OF THE VECTORS IN RELATION TO THE RGB IMAGE 2) QUALITY OF THE VECTOR LINES WHEN PLOTTED IN A HARDCOPY FORM 3) PROBLEM WITH FILLING THE THEMATIC CLASSES 4) PROBLEM WITH DEFINING THE PROJECT CREATED 5) SECONDARY FOREST - HOW TO DEAL WITH IT ? 6) PROBLEM WITH ELIMINATING VECTOR LINES

7) PROBLEM WITH MAPPING HYDROGRAPHY USING SOIL FRACTION IMAGE 8) DESFORESTATION IN THE BORDER - MEAN ERROR OF IMAGE REGISTRATION (1 PIXEL)