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

A Comparison Between A Comparison Between GLC2000 Results and Brazilian GLC2000 Results and Brazilian

Census DataCensus Data

Evaristo Eduardo de MirandaEvaristo Eduardo de MirandaMarcelo GuimarãesMarcelo Guimarães

Eliane Gonçalves GomesEliane Gonçalves GomesAlejandro Jorge DoradoAlejandro Jorge Dorado

BRAZIL SEEN THROUGH A SPOT

VGT MOSAIC

• 5 REGIONS•27 STATES

• 5,500 COUNTIES

SPOT VGT LAND-COVER MAPSPOT VGT LAND-COVER MAP

SUBSET FOR BRAZILIAN SOUTHERN

REGION

MAP LEGEND24 CLASSES

RESEARCH GOALRESEARCH GOAL

A PRELIMINARY STATISTICAL COMPARISON BETWEEN A PRELIMINARY STATISTICAL COMPARISON BETWEEN

CENSUS DATA (REGIONS, STATES, AND COUNTIES) AND CENSUS DATA (REGIONS, STATES, AND COUNTIES) AND

SPOT VGT LAND-COVER MAPPINGSPOT VGT LAND-COVER MAPPING

BRAZILIAN CENSUSBRAZILIAN CENSUS

• TEN YEAR BASIS SINCE 1870 (YEAR 2000)TEN YEAR BASIS SINCE 1870 (YEAR 2000)

• ONLY RURAL AREAS, BUT ALL FARMSONLY RURAL AREAS, BUT ALL FARMS

• ESTIMATIVES BASED ON FARMERS DECLARATIONSESTIMATIVES BASED ON FARMERS DECLARATIONS

• HOMOGENEOUS METHODOLOGYHOMOGENEOUS METHODOLOGY

• CLASSIFICATION SCHEME <=> VGT LAND COVER CLASSESCLASSIFICATION SCHEME <=> VGT LAND COVER CLASSES

COMPARATIVE APPROACHCOMPARATIVE APPROACH

STATISTICAL CORRELATION BETWEEN CENSUS DATA STATISTICAL CORRELATION BETWEEN CENSUS DATA AND SPOT VGT CLASSIFICATIONAND SPOT VGT CLASSIFICATION

• AGRICULTURE AND PASTURE (HIGH CORRELATION)AGRICULTURE AND PASTURE (HIGH CORRELATION)

• FOREST REMNANTS IN AGRICULTURAL AREAS VS. FOREST REMNANTS IN AGRICULTURAL AREAS VS. AGRICULTURAL PATCHES IN FORESTED AREAS AGRICULTURAL PATCHES IN FORESTED AREAS (LOWER CORRELATION)(LOWER CORRELATION)

AGRICULTURE AND PASTURESAGRICULTURE AND PASTURES

FORESTS REMNANTS IN AGRICULTURAL AREASFORESTS REMNANTS IN AGRICULTURAL AREAS

FORESTS REMNANTS IN AGRICULTURAL AREASFORESTS REMNANTS IN AGRICULTURAL AREAS

CONCLUDING REMARKSCONCLUDING REMARKS

• VALUABLE COMPARISON FOR 40% OF BRAZIL (DOES NOT VALUABLE COMPARISON FOR 40% OF BRAZIL (DOES NOT INCLUDE LARGE NATURAL AREAS)INCLUDE LARGE NATURAL AREAS)

• BEST RESULTS FOR CROPS AND PASTURE MAINLY BEST RESULTS FOR CROPS AND PASTURE MAINLY BECAUSE OF THE LARGE SIZE OF BRAZILIAN BECAUSE OF THE LARGE SIZE OF BRAZILIAN AGRICULTURAL PATCHESAGRICULTURAL PATCHES

• SIMILAR CLASSES IN DISTINCT CLASSIFICATION SIMILAR CLASSES IN DISTINCT CLASSIFICATION SCHEMES HAVE LOWER CORRELATION VALUES (e.g., DRY SCHEMES HAVE LOWER CORRELATION VALUES (e.g., DRY FORESTS - CAATINGA)FORESTS - CAATINGA)

• FURTHER STEPS INCLUDE MORE DETAILED FURTHER STEPS INCLUDE MORE DETAILED COMPARISONS FOR COUNTIES WITHIN EACH BRAZILIAN COMPARISONS FOR COUNTIES WITHIN EACH BRAZILIAN REGIONREGION

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Evaristo Eduardo de MirandaEvaristo Eduardo de Miranda

[email protected]@cnpm.embrapa.br