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A Comparison Between GLC2000 Results and Brazilian Census Data

This research presents a preliminary statistical comparison between Brazilian census data (regions, states, and counties) and SPOT VGT land-cover mapping based on a subset for the Brazilian southern region. The study aims to assess the correlation between census data and VGT land-cover classification, focusing on agriculture, pastures, and forest remnants in agricultural areas. The results show valuable insights for 40% of Brazil, highlighting the correlation between crops and pastures and suggesting further detailed comparisons at the county level.

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A Comparison Between GLC2000 Results and Brazilian Census Data

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

  2. BRAZIL SEEN THROUGH A SPOT VGT MOSAIC

  3. 5 REGIONS • 27 STATES • 5,500 COUNTIES

  4. SPOT VGT LAND-COVER MAP

  5. SUBSET FOR BRAZILIAN SOUTHERN REGION

  6. MAP LEGEND 24 CLASSES

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

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

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

  10. AGRICULTURE AND PASTURES

  11. FORESTS REMNANTS IN AGRICULTURAL AREAS

  12. FORESTS REMNANTS IN AGRICULTURAL AREAS

  13. CONCLUDING REMARKS • 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 • 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

  14. http://www.cnpm.embrapa.br/ Evaristo Eduardo de Miranda mir@cnpm.embrapa.br

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