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Author(s): TOMÀS, J. C.; FARIA, F. A.; ESQUERDO, J. C. D. M.; COUTINHO, A. C.; MEDEIROS, C. B.

Summary: This paper presents a novel approach to classify agricultural crops using NDVI time series. The novelty lies in i) extracting a set of features from the each and every NDVI curve, and ii) using them to train a crop classification model using a Support Vector Machine (SVM). Specifically, we use the TIMESAT program package to: 1) smooth the time series, 2) decompose them into agricultural seasons?a season is the period between sowing and harvesting?, and 3) extract the features for each season.

Publication year: 2015

Types of publication: Paper in annals and proceedings

Unit: Embrapa Digital Agriculture

Keywords: Cobertura da terra, LULC, Land cover, Land use, NDVI, Support Vector Machine, Séries temporais, Time series analysis, Uso da terra

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