Soybean crop area estimation by Modis/Evi data

Autores

  • Anibal Gusso Instituto Nacional de Pesquisas Espaciais (INPE)
  • Antônio Roberto Formaggio Instituto Nacional de Pesquisas Espaciais (INPE)
  • Rodrigo Rizzi Universidadde Federal de Pelotas
  • Marcos Adami Instituto Nacional de Pesquisas Espaciais. Av. dos Astronautas, 1758 Jardim da Granja 12227-010 - Sao Jose dos Campos, SP - Brasil
  • Bernardo Friedrich Theodor Rudorff Instituto Nacional de Pesquisas Espaciais. Av. dos Astronautas, 1758 Jardim da Granja 12227-010 - Sao Jose dos Campos, SP - Brasil - Caixa-Postal: 515

DOI:

https://doi.org/10.1590/S1678-3921.pab2012.v47.10054

Palavras-chave:

Glycine max, algoritmo, área agrícola, mapeamento, perfil temporal

Resumo

The objective of this work was to develop a procedure to estimate soybean crop areas in Rio Grande do Sul state, Brazil. Estimations were made based on the temporal profiles of the enhanced vegetation index (Evi) calculated from moderate resolution imaging spectroradiometer (Modis) images. The methodology developed for soybean classification was named Modis crop detection algorithm (MCDA). The MCDA provides soybean area estimates in December (first forecast), using images from the sowing period, and March (second forecast), using images from the sowing and maximum crop development periods. The results obtained by the MCDA were compared with the official estimates on soybean area of the Instituto Brasileiro de Geografia e Estatística. The coefficients of determination ranged from 0.91 to 0.95, indicating good agreement between the estimates. For the 2000/2001 crop year, the MCDA soybean crop map was evaluated using a soybean crop map derived from Landsat images, and the overall map accuracy was approximately 82%, with similar commission and omission errors. The MCDA was able to estimate soybean crop areas in Rio Grande do Sul State and to generate an annual thematic map with the geographic position of the soybean fields. The soybean crop area estimates by the MCDA are in good agreement with the official agricultural statistics.

Biografia do Autor

Anibal Gusso, Instituto Nacional de Pesquisas Espaciais (INPE)

http://lattes.cnpq.br/3049668404793029

Antônio Roberto Formaggio, Instituto Nacional de Pesquisas Espaciais (INPE)

http://lattes.cnpq.br/9495877621904850

Rodrigo Rizzi, Universidadde Federal de Pelotas

http://lattes.cnpq.br/5373631394883825

Marcos Adami, Instituto Nacional de Pesquisas Espaciais. Av. dos Astronautas, 1758 Jardim da Granja 12227-010 - Sao Jose dos Campos, SP - Brasil

http://lattes.cnpq.br/7484071887086439

Bernardo Friedrich Theodor Rudorff, Instituto Nacional de Pesquisas Espaciais. Av. dos Astronautas, 1758 Jardim da Granja 12227-010 - Sao Jose dos Campos, SP - Brasil - Caixa-Postal: 515

http://lattes.cnpq.br/7514918598084999

Publicado

2012-04-23

Como Citar

Gusso, A., Formaggio, A. R., Rizzi, R., Adami, M., & Rudorff, B. F. T. (2012). Soybean crop area estimation by Modis/Evi data. Pesquisa Agropecuária Brasileira, 47(3), 425–435. https://doi.org/10.1590/S1678-3921.pab2012.v47.10054

Edição

Seção

SENSORIAMENTO REMOTO