Detecting Healthy Tea Plantation Using Multi Spectral Satellite Images - Ajithkumar, Ann Suvasthika
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Sri Lanka is famous for its rich tea cultivation. The main tea growing areas in Sri Lanka are the Central, Uva, Southern and Sabaragamuwa Province. Tea is hard to monitor for its health as it's a non-seasonal plant species. Spectral signatures can be used as a major parameter to monitor the health of tea bushes using multispectral or hyperspectral satellite images, because the class separability is insignificant. Yet the spectral libraries generated for healthy and unhealthy tea plants are at a vacuum. In this study, an attempt has been made with the help of Remote Sensing and GIS techniques…mehr

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Produktbeschreibung
Sri Lanka is famous for its rich tea cultivation. The main tea growing areas in Sri Lanka are the Central, Uva, Southern and Sabaragamuwa Province. Tea is hard to monitor for its health as it's a non-seasonal plant species. Spectral signatures can be used as a major parameter to monitor the health of tea bushes using multispectral or hyperspectral satellite images, because the class separability is insignificant. Yet the spectral libraries generated for healthy and unhealthy tea plants are at a vacuum. In this study, an attempt has been made with the help of Remote Sensing and GIS techniques to monitor the tea plant health by using the spectral responses in the visible and Near Infrared (NIR) regions of the Electromagnetic Spectrum.
Autorenporträt
Ajithkumar, Ann Suvasthika
Ann Suvasthika Ajithkumar has BSc in surveying science spcl in photogrammetry and Remote sensing.