Detection of diseased rubber plantations using satellite remote sensing |
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| Authors: | B K Ranganath N Pradeep V B Manjula Balakrishna Gowda M D Rajanna Damodar Shettigar P P Nageswara RAo |
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| Institution: | 1.Regional Remote Sensing Service Centre,Indian Space Research Organisation,Bangalore,India;2.University of Agricultural Sciences,Gandhi Krishi Vignana Kendra Campus,Bangalore,India;3.Karnataka Forest Development Corporation,Government of Karnataka,Sullia,India |
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| Abstract: | The study evaluates the potential of satellite remote sensing technology for detection, mapping and monitoring of diseased
rubber plantation affected by Corynespora and Gloeosporium fungi, which causes leaf spot and leaf fall. Multi-date satellite
data of IRS-1C have been analyzed adopting enhancement and classification techniques to identify and extract information on
the spatial extent and distribution of healthy and diseased rubber plants with an accuracy of 90%. The diseased rubber plantations
have shown considerable reduction in the near-infrared reflectance followed by a rise in the reflectance in red and short
wave infrared. Vegetation index images generated for different periods have shown the progress of disease incidence, severity
and recovery of rubber plantations after fungicidal spraying. The study has demonstrated the use of remote sensing technology
in identifying and delineating diseased rubber plantations. Early detection of the disease would be of immense value for taking
up necessary control measures and minimize the loss. |
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