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Determination of Opium Poppy (Papaver Somniferum) Parcels Using High-Resolution Satellite Imagery

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Abstract

Narcotic plants contain substances that cause unusual excitation and subsequent depression of the central nervous system. Many narcotic plants contain substances that have medicinal properties and are used primarily as pain relievers. Opium poppy (Papaver somniferum) is one of the most cultivated narcotic plants. The planning of Opium poppy growing is controlled by United Nations and Drugs and Medicines Control Program. This study was conducted to establish a basis for determining the traceability of poppy cultivating areas using remote sensing in the large plain. A very high-resolution QuickBird-2 satellite image was used in the study. The software of ERDAS Imagine and eCognition Developer was performed for image processing and classification. A variety of classification methods were performed on the satellite image. ArcGIS software was used for accuracy assessment, ground control, and map production of the poppy cultivating area. The accuracy of classification methods was compared. The producer–user accuracy was estimated as 97.99% using spectral difference sub-segmentation process of multiresolution segmentation algorithm in object-based classifications method. This algorithm can be a practical approach for determining of opium poppy parcels in the large plain.

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Acknowledgements

This work was supported by the Scientific Research Projects Council of Suleyman Demirel University (Grant Number 4103-YL2-14).

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  1. Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Suleyman Demirel University, Isparta, Turkey

    Sinan Demir & Levent Başayiğit

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  1. Sinan Demir
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  2. Levent Başayiğit
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Correspondence to Sinan Demir.

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Demir, S., Başayiğit, L. Determination of Opium Poppy (Papaver Somniferum) Parcels Using High-Resolution Satellite Imagery. J Indian Soc Remote Sens 47, 977–987 (2019). https://doi.org/10.1007/s12524-019-00955-1

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  • DOI: https://doi.org/10.1007/s12524-019-00955-1

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