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
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 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.
Conference paper (PDF, 998 KB)


Citation: Bendini, H., Sanches, I. D., Körting, T. S., Fonseca, L. M. G., Luiz, A. J. B., and Formaggio, A. R.: USING LANDSAT 8 IMAGE TIME SERIES FOR CROP MAPPING IN A REGION OF CERRADO, BRAZIL, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 845-850, https://doi.org/10.5194/isprs-archives-XLI-B8-845-2016, 2016.

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