DATA MINING TECHNIQUES FOR SEPARATION OF SUMMER CROP BASED ON SATELLITE IMAGES
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-...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sociedade Brasileira de Engenharia Agrícola
2017-08-01
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| Series: | Engenharia Agrícola |
| Subjects: | |
| Online Access: | http://www.scielo.br/pdf/eagri/v37n4/1809-4430-eagri-37-04-0750.pdf |
| _version_ | 1798016202429169664 |
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| author | Willyan R. Becker Jerry A. Johann Jonathan Richetti Laíza C. DE A. Silva |
| author_facet | Willyan R. Becker Jerry A. Johann Jonathan Richetti Laíza C. DE A. Silva |
| author_sort | Willyan R. Becker |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T15:47:02Z |
| format | Article |
| id | doaj.art-84fe580bc8af48af8808daa534d402d6 |
| institution | Directory Open Access Journal |
| issn | 0100-6916 |
| language | English |
| last_indexed | 2024-04-11T15:47:02Z |
| publishDate | 2017-08-01 |
| publisher | Sociedade Brasileira de Engenharia Agrícola |
| record_format | Article |
| series | Engenharia Agrícola |
| spelling | doaj.art-84fe580bc8af48af8808daa534d402d62022-12-22T04:15:30ZengSociedade Brasileira de Engenharia AgrícolaEngenharia Agrícola0100-69162017-08-0137475075910.1590/1809-4430-eng.agric.v37n4p750-759/2017DATA MINING TECHNIQUES FOR SEPARATION OF SUMMER CROP BASED ON SATELLITE IMAGESWillyan R. BeckerJerry A. JohannJonathan RichettiLaíza C. DE A. SilvaABSTRACT: 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.http://www.scielo.br/pdf/eagri/v37n4/1809-4430-eagri-37-04-0750.pdfcornEVIJ48soybeanWeka |
| spellingShingle | Willyan R. Becker Jerry A. Johann Jonathan Richetti Laíza C. DE A. Silva DATA MINING TECHNIQUES FOR SEPARATION OF SUMMER CROP BASED ON SATELLITE IMAGES Engenharia Agrícola corn EVI J48 soybean Weka |
| title | DATA MINING TECHNIQUES FOR SEPARATION OF SUMMER CROP BASED ON SATELLITE IMAGES |
| title_full | DATA MINING TECHNIQUES FOR SEPARATION OF SUMMER CROP BASED ON SATELLITE IMAGES |
| title_fullStr | DATA MINING TECHNIQUES FOR SEPARATION OF SUMMER CROP BASED ON SATELLITE IMAGES |
| title_full_unstemmed | DATA MINING TECHNIQUES FOR SEPARATION OF SUMMER CROP BASED ON SATELLITE IMAGES |
| title_short | DATA MINING TECHNIQUES FOR SEPARATION OF SUMMER CROP BASED ON SATELLITE IMAGES |
| title_sort | data mining techniques for separation of summer crop based on satellite images |
| topic | corn EVI J48 soybean Weka |
| url | http://www.scielo.br/pdf/eagri/v37n4/1809-4430-eagri-37-04-0750.pdf |
| work_keys_str_mv | AT willyanrbecker dataminingtechniquesforseparationofsummercropbasedonsatelliteimages AT jerryajohann dataminingtechniquesforseparationofsummercropbasedonsatelliteimages AT jonathanrichetti dataminingtechniquesforseparationofsummercropbasedonsatelliteimages AT laizacdeasilva dataminingtechniquesforseparationofsummercropbasedonsatelliteimages |