A Comparison Between GLC2000 Results and Brazilian Census Data Evaristo Eduardo de Miranda Marcelo Guimarães Eliane Gonçalves Gomes Alejandro Jorge Dorado.

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A Comparison Between GLC2000 Results and Brazilian Census Data Evaristo Eduardo de Miranda Marcelo Guimarães Eliane Gonçalves Gomes Alejandro Jorge Dorado

BRAZIL SEEN THROUGH A SPOT VGT MOSAIC

5 REGIONS 27 STATES 5,500 COUNTIES

SPOT VGT LAND-COVER MAP

SUBSET FOR BRAZILIAN SOUTHERN REGION

MAP LEGEND 24 CLASSES

RESEARCH GOAL A PRELIMINARY STATISTICAL COMPARISON BETWEEN CENSUS DATA (REGIONS, STATES, AND COUNTIES) AND SPOT VGT LAND-COVER MAPPING A PRELIMINARY STATISTICAL COMPARISON BETWEEN CENSUS DATA (REGIONS, STATES, AND COUNTIES) AND SPOT VGT LAND-COVER MAPPING

BRAZILIAN CENSUS TEN YEAR BASIS SINCE 1870 (YEAR 2000) TEN YEAR BASIS SINCE 1870 (YEAR 2000) ONLY RURAL AREAS, BUT ALL FARMS ONLY RURAL AREAS, BUT ALL FARMS ESTIMATIVES BASED ON FARMERS DECLARATIONS ESTIMATIVES BASED ON FARMERS DECLARATIONS HOMOGENEOUS METHODOLOGY HOMOGENEOUS METHODOLOGY CLASSIFICATION SCHEME VGT LAND COVER CLASSES CLASSIFICATION SCHEME VGT LAND COVER CLASSES

COMPARATIVE APPROACH STATISTICAL CORRELATION BETWEEN CENSUS DATA AND SPOT VGT CLASSIFICATION AGRICULTURE AND PASTURE (HIGH CORRELATION) AGRICULTURE AND PASTURE (HIGH CORRELATION) FOREST REMNANTS IN AGRICULTURAL AREAS VS. AGRICULTURAL PATCHES IN FORESTED AREAS (LOWER CORRELATION) FOREST REMNANTS IN AGRICULTURAL AREAS VS. AGRICULTURAL PATCHES IN FORESTED AREAS (LOWER CORRELATION)

AGRICULTURE AND PASTURES

FORESTS REMNANTS IN AGRICULTURAL AREAS

CONCLUDING REMARKS VALUABLE COMPARISON FOR 40% OF BRAZIL (DOES NOT INCLUDE LARGE NATURAL AREAS) VALUABLE COMPARISON FOR 40% OF BRAZIL (DOES NOT INCLUDE LARGE NATURAL AREAS) BEST RESULTS FOR CROPS AND PASTURE MAINLY BECAUSE OF THE LARGE SIZE OF BRAZILIAN AGRICULTURAL PATCHES BEST RESULTS FOR CROPS AND PASTURE MAINLY BECAUSE OF THE LARGE SIZE OF BRAZILIAN AGRICULTURAL PATCHES SIMILAR CLASSES IN DISTINCT CLASSIFICATION SCHEMES HAVE LOWER CORRELATION VALUES (e.g., DRY FORESTS - CAATINGA) SIMILAR CLASSES IN DISTINCT CLASSIFICATION SCHEMES HAVE LOWER CORRELATION VALUES (e.g., DRY FORESTS - CAATINGA) FURTHER STEPS INCLUDE MORE DETAILED COMPARISONS FOR COUNTIES WITHIN EACH BRAZILIAN REGION FURTHER STEPS INCLUDE MORE DETAILED COMPARISONS FOR COUNTIES WITHIN EACH BRAZILIAN REGION

Evaristo Eduardo de Miranda