DATA MINING TECHNIQUES FOR SEPARATION OF SUMMER CROP BASED ON SATELLITE IMAGES1

Becker, Willyan R.; Johann, Jerry A.; Richetti, Jonathan; Silva, Laíza C. DE A.

doi:10.1590/1809-4430-Eng.Agric.v37n4p750-759/2017

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Sumário

Scientific Paper, Topography, Photogrammetry and Remote Sensing • Eng. agríc. 37 (04) • Jul-Aug 2017 • https://doi.org/10.1590/1809-4430-Eng.Agric.v37n4p750-759/2017 copy

DATA MINING TECHNIQUES FOR SEPARATION OF SUMMER CROP BASED ON SATELLITE IMAGES¹ 1 Research developed in the discipline of "Data Mining and Knowledge Discovery" studied in the Graduate Program in Agricultural Engineering - PGEAGRI, from Western Paraná State University (UNIOESTE) - Cascavel Campus - PR/ BR, in 2015.

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT:

Due to the difficulty in discriminating soybean and corn in mappings obtained by the time series of satellite images, this study aimed to apply the data mining techniques to separate soybean and corn. Pure pixels selection from Landsat-8 were extracted and used to build a standard spectro-temporal EVI profile for both crops. These profiles were obtained with the Timesat software and, further incorporated in the Weka software. Five out of eleven variables of the standard spectro-temporal EVI profile for each crop were found through the decision tree, a data mining technique. These five variables were sufficient to achieve the separation of soybean and corn crops with an accuracy of 96.3% and a kappa index of 0.92.

KEYWORDS:
corn; EVI; J48; soybean; Weka

Rules	Description	Result
R1	If MAX_EVI ≤ 0.8691 and SD ≤ 11/18/2014	Corn
R2	If MAX_EVI > 0.8691 and CC ≤ 130 days and L-INT > 10.67×10³ and DMVD ≤ 01/05/2015	Corn
R3	If MAX_EVI > 0.8691 and CC > 130 days and SD ≤ 11/09/2014	Corn
R4	If MAX_EVI ≤ 0.8691 and SD > 11/18/2014	Soybean
R5	If MAX_EVI > 0.8691 and CC ≤ 130 days and L-INT ≤ 10.67×10³	Soybean
R6	If MAX_EVI > 0.8691 and CC ≤ 130 days and L-INT > 10.67×10³ and DMVD > 01/05/2015	Soybean
R7	If MAX_EVI > 0.8691 and CC > 130 days and SD > 11/09/2014	Soybean

Associação Brasileira de Engenharia Agrícola SBEA - Associação Brasileira de Engenharia Agrícola, Departamento de Engenharia e Ciências Exatas FCAV/UNESP, Prof. Paulo Donato Castellane, km 5, 14884.900 | Jaboticabal - SP, Tel./Fax: +55 16 3209 7619 - Jaboticabal - SP - Brazil
E-mail: revistasbea@sbea.org.br

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[1] *Corresponding author. Western Paraná State University (UNIOESTE)/ Cascavel - PR, Brazil. E-mail: jerry.johann@hotmail.com