Yosio ShimabukuroRuth DeFriesDouglas MortonLiana AndersonEllen JasinskiFernando Espirito-SantoMatthew Hansen Marcelo Latorre

INPE / University of Maryland

Incorporating the use of MODIS data into INPE deforestation mapping

PRODES DIGITAL 2003

LANDSAT THEMATIC MAPPER

DETER 2004DETECÇÃOMODIS / WFI

PRODES DIGITAL 2004

LANDSAT/CBERS/....

PRODES

Estimate of gross deforestation in Amazônia

DETER

Detection of deforested areas in Amazônia in a near real time

THE HISTORICAL DATA OF PRODES DIGITALTHE HISTORICAL DATA OF PRODES DIGITALNEEDS TO BE COMPLETED AND ADJUSTED NEEDS TO BE COMPLETED AND ADJUSTED

OVER THE OVER THE MODIS MOSAIC OF MODIS MOSAIC OF 12 TO 27 AUGUST 200312 TO 27 AUGUST 2003

ADJUSTMENT OF AREA EXTENSION OF PRODES DIGITALOVER THE MODIS MOSAIC ( 12 TO 27 AUGUST 2003)

DETAIL OF THE ADJUSTMENT OF AREA EXTENSION OF PRODES DIGITALOVER THE MODIS MOSAIC ( 12 TO 27 AUGUST 2003)

EXAMPLE OF THE DEFORESTATION DETECTION

“MOSAIC 22 APRIL – O7 MAY 2004”

PROJETO DETER

MODIS MOSAIC - 22 Apr - 07 May 2004

SOIL FRACTION SHADE FRACTION VEGETATION FRACTION

Rio

Xin

gu

SOIL FRACTION IMAGE (mosaic 22 April to 07 May 2004)

CLASSIFICATION OF DEFORESTED AREAS USING SOIL FRACTION

CLASSIFICATION OF MODIS IMAGE (mosaic 22 April to 07 May 2004)AREA EXTENSION UP TO AUGUST 2003 + NEW CLEARINGS FROM MOSAIC

AREA EXTENSION UP TO AUGUST 2003 OVER MODIS (22 Apr - 07 May 2004)

EXAMPLE OF THE DEFORESTATION DETECTION

“MODIS IMAGE 21 MAY 2004”

PROJETO DETER

CLASSIFICATION OF MODIS IMAGE 21 MAY 2004

THE NEW DEFORESTATION AREAS IN DIFFERENT TIME PERIODS

=1.637 Km2

= 754.850 Km2

= 1.919 Km2

EXAMPLE OF THE DEFORESTATION DETECTION

“MOSAIC 24 MAY – 08 JUNE”

PROJETO DETER

CLASSIFICATION OF MODIS MOSAIC OF 24 MAY- 08 JUNE 2004

THE NEW DEFORESTATION AREAS IN DIFFERENT TIME PERIODS

Method Threshold PPV % total area % Polygons Polygons (N) 0-3 Polygons (N) 3-10 Polygons (N) 10-20 Polygons (N) 20+MOD13 Red M + 1 SD 0.4439 0.6793 0.8317 0.4537 0.7894 0.8647 0.9615MOD09 Red 2002 427 427 0.7155 0.5979 0.8700 0.5528 0.8268 0.9049 0.9359solo difference M + 1 SD 0.5116 0.3889 0.7663 0.4253 0.6179 0.7539 0.9102MOD13 NDVI M + 2 SD 0.7938 0.5521 0.6834 0.2685 0.5029 0.6482 0.8702solo 2002 >120 0.7629 0.2220 0.6817 0.3977 0.6111 0.6438 0.8077MOD13 Red540 540 0.8895 0.3219 0.6288 0.3311 0.5179 0.6255 0.7482

PPV=positive predicted value = true positives/(true positives + false positives)

-Many methods identify deforestation polygons >~3ha-Quality flags for clouds and bad data improve accuracy-MODIS detection will not identify small clearings <~3ha and will underestimate total area deforested-Appropriate method depends on user’s needs to minimize false positives vs. omission error

POTENTIAL METHODS FOR MODIS DEFORESTATION DETECTION FOR 6 PRODES TM SCENES

Legenddeforestation identified by MODIS

NDVI 16 day composite through July 6

Value

High : 9997

Low : -3000

200Kilometers

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Nova Mutum

Field Validation in central Mato Grosso—July, 2004

Field Polygon Analysis

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This year’s deforestation in many stages of clearing

MASK OF PREVIOUS DEFORESTATION ESSENTIAL TO DISTINGUISH NEW DEFORESTATION

RECENTLY CLEAREDBURNED

LEIRASPILES

PHOTOCUT NOT BURNED

“QUALIDADE DAS IMAGENS MODIS NO NADIR”

PROJETO DETER

Mosaic of 22 April to 07 May 2004

MOSAIC (MOD13) X DAILY IMAGE (MOD09)

Daily Image acquired on 03 May 2004

RECOMENDAÇÕES AOS USUÁRIOS

O PROJETO DETER FAZ DETECÇÃO DAS ÁREAS DE DESMATAMENTO UTILIZANDO DADOS DO MODIS,DE RESOLUÇÃO ESPACIAL MODERADA (PIXEL DE 250m). PORTANTO, A LOCALIZAÇÃO DESSAS ÁREAS PODE SER ANALISADA SEM NENHUMA RESTRIÇÃO, PORÉM OS VALORES DE ÁREA DO DETER DEVEM SER UTILIZADOS DE MODO RELATIVO. SE O INTERESSE FOR ÁREA DESMATADA, O USUÁRIO DEVEUTILIZAR OS RESULTADOS DO PROJETO PRODES DIGITAL (www.obt.inpe/prodes).

ÁREA DO DETER ≠ ÁREA DO PRODES DIGITAL

CONCLUSIONS

1) Mask of previous year’s deforestation (PRODES DIGITAL) is key to identify new deforestation (DETER Project) in current year 2) MODIS can provide rapid assessment of deforestation events but is not substitute for high-resolution analysis to estimate area

3) The quality control done by experient interpreters is important for the success of deforestation detection

OPERATIONAL ACTIVITIES OF DETER PROJECT

1) Analysis of MODIS daily image 2) New deforestation areas (weekly, monthly, ...)

3) Incorporate methods as automated as possible

4) Send the information to IBAMA