Yosio Shimabukuro Ruth DeFries Douglas Morton Liana Anderson Ellen Jasinski Fernando Espirito-Santo Matthew Hansen Marcelo Latorre INPE / University of Maryland Incorporating the use of MODIS data into INPE deforestation mapping

PRODES DIGITAL 2003 LANDSAT THEMATIC MAPPER DETER 2004 DETECÇÃO MODIS / 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 DIGITAL NEEDS TO BE COMPLETED AND ADJUSTED OVER THE MODIS MOSAIC OF 12 TO 27 AUGUST 2003

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

DETAIL OF THE ADJUSTMENT OF AREA EXTENSION OF PRODES DIGITAL OVER 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 FRACTIONVEGETATION FRACTION Rio Xingu

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 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 Km 2 = Km 2 = Km 2

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

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 users needs to minimize false positives vs. omission error POTENTIAL METHODS FOR MODIS DEFORESTATION DETECTION FOR 6 PRODES TM SCENES

Field Validation in central Mato GrossoJuly, 2004

This years deforestation in many stages of clearing MASK OF PREVIOUS DEFORESTATION ESSENTIAL TO DISTINGUISH NEW DEFORESTATION RECENTLY CLEARED BURNED LEIRAS PILES PHOTO CUT 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 DEVE UTILIZAR OS RESULTADOS DO PROJETO PRODES DIGITAL ( ÁREA DO DETER ÁREA DO PRODES DIGITAL

CONCLUSIONS 1) Mask of previous years 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