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)