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A study on detecting the poppy field using hyperspectral remote sensing techniques

This study aims to recognize the difference of spectral characteristics between poppy and the other crops and develop a method to detect illegal poppy fields using a hyperspectral data. As analysis methods, we examined linear discriminant analysis using two bands, red edge position (REP), and partial least square discriminant analysis (PLSDA). As a result, REP is valid for discriminating between poppy and wheat. Furthermore, PLSDA would be possible to detect poppy fields in agricultural area including various crops. Availability of the proposed methods was confirmed using ground spectral data, airborne and simulated satellite-borne hyperspectral data. Our goal is to develop a method for practical use of HISUI (Hyperspectral Imager SUIte). It's expected that HISUI could make a contribution to monitor illegal crop using our methods in combination with the monitoring system established previously.