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| COSTA,Olívia Bueno da; MATRICARDI,Eraldo Aparecido Trondoli; PEDLOWSKI,Marcos Antonio; COCHRANE,Mark Alan; FERNANDES,Luiz Cláudio. |
| ABSTRACT Although soybean production has been increasing in the state of Rondônia in the last decade, soybean planted area has been estimated indirectly using secondary datasets, which has limited understanding of its spatiotemporal distribution patterns. This study aimed to map and analyze spatial patterns of soybean expansion in Rondônia. We developed a classification technique based on Spectral Mixture Analysis (SMA) derived from Landsat imagery and Decision Tree Classification to detect and map soybean plantations in 2000, 2005, 2010, and 2014. The soybean classification map showed 93% global accuracy, 23% omission and 0% of commission errors for soybean crop fields. The greatest increases of soybean cropped area in the state of Rondônia were observed... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Brazilian Amazon; Tropical deforestation; Land-use and land-cover change; Geoprocessing; Agricultural commodities. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672017000100029 |
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