Estimating soybean crop areas using spectral-temporal surfaces derived from MODIS images in Mato Grosso, Brazil.
AUTOR(ES)
EPIPHANIO, R. D. V.
FONTE
Pesquisa Agropecuária Brasileira
DATA DE PUBLICAÇÃO
2011
RESUMO
Abstract ? The objective of this work was to evaluate the application of the spectral-temporal response surface (STRS) classification method on Moderate Resolution Imaging Spectroradiometer (MODIS, 250 m) sensor images in order to estimate soybean areas in Mato Grosso state, Brazil. The classification was carried out using the maximum likelihood algorithm (MLA) adapted to the STRS method. Thirty segments of 30x30 km were chosen along the main agricultural regions of Mato Grosso state, using data from the summer season of 2005/2006 (from October to March), and were mapped based on fieldwork data, TM/Landsat-5 and CCD/CBERS-2 images. Five thematic classes were considered: Soybean, Forest, Cerrado, Pasture and Bare Soil. The classification by the STRS method was done over an area intersected with a subset of 30x30-km segments. In regions with soybean predominance, STRS classification overestimated in 21.31% of the reference values. In regions where soybean fields were less prevalent, the classifier overestimated 132.37% in the acreage of the reference. The overall classification accuracy was 80%. MODIS sensor images and the STRS algorithm showed to be promising for the classification of soybean areas in regions with the predominance of large farms. However, the results for fragmented areas and smaller farms were less efficient, overestimating soybean areas.
ASSUNTO(S)
glycine max accuracy agricultural statistics classification remote sensing thematic map
ACESSO AO ARTIGO
http://www.alice.cnptia.embrapa.br/handle/doc/783629Documentos Relacionados
- A SPECTRAL AGROMETEOROLOGICAL MODEL FOR ESTIMATING SOYBEAN GRAIN PRODUCTIVITY IN MATO GROSSO, BRAZIL
- Soy production area estimates in Mato Grosso, Brazil, using MODIS NDVI time series.
- Identification of agricultural crop areas extensive using an approach spectro-temporal using MODIS images
- Sensoriamento remoto para o levantamento espectro-temporal e estimativa de área de culturas agrícolas
- Evaluation of the MODIS images potential to estimate soybean areas in Mato Grosso state