Detection of diseased rubber plantations using satellite remote sensing
| Autor: | N. Pradeep, P. P. Nageswara Rao, Balakrishna Gowda, M. D. Rajanna, B. K. Ranganath, Damodar Shettigar, V. B. Manjula |
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| Rok vydání: | 2004 |
| Předmět: |
biology
Geography Planning and Development technology industry and agriculture Early detection Leaf fall biology.organism_classification Geography Natural rubber Remote sensing (archaeology) visual_art Satellite remote sensing Earth and Planetary Sciences (miscellaneous) visual_art.visual_art_medium Leaf spot Vegetation Index Spatial extent Remote sensing |
| Zdroj: | Journal of the Indian Society of Remote Sensing. 32:49-58 |
| ISSN: | 0974-3006 0255-660X |
| DOI: | 10.1007/bf03030847 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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