Volume XLI-B8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 845-850, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-845-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 845-850, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-845-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  23 Jun 2016

23 Jun 2016

USING LANDSAT 8 IMAGE TIME SERIES FOR CROP MAPPING IN A REGION OF CERRADO, BRAZIL

H. Bendini1, I. D. Sanches1, T. S. Körting2, L. M. G. Fonseca2, A. J. B. Luiz3, and A. R. Formaggio1 H. Bendini et al.
  • 1Remote Sensing Division (DSR) - National Institute for Space Research – INPE, São José dos Campos, SP, Brazil
  • 2Image Processing Division (DPI) - National Institute for Space Research – INPE, São José dos Campos, SP, Brazi
  • 3Embrapa Environment, Brazilian Agricultural Research Corporation, Brazi

Keywords: Crop mapping, Landsat Time series, Random Forest algorithm

Abstract. The objective of this research is to classify agricultural land use in a region of the Cerrado (Brazilian Savanna) biome using a time series of Enhanced Vegetation Index (EVI) from Landsat 8 OLI. Phenological metrics extracted from EVI time series, a Random Forest algorithm and data mining techniques are used in the process of classification. The area of study is a region in the Cerrado in a region of the municipality of Casa Branca, São Paulo state, Brazil. The results are encouraging and demonstrate the potential of phenological parameters obtained from time series of OLI vegetation indices for agricultural land use classification.