Detecting sugarcane 'orange rust' disease using EO-1 Hyperion hyperspectral imagery
Article
Article Title | Detecting sugarcane 'orange rust' disease using EO-1 Hyperion hyperspectral imagery |
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ERA Journal ID | 4642 |
Article Category | Article |
Authors | Apan, Armando (Author), Held, Alex (Author), Phinn, Stuart (Author) and Markley, John (Author) |
Journal Title | International Journal of Remote Sensing |
Journal Citation | 25 (2), pp. 489-498 |
Number of Pages | 10 |
Year | 2004 |
Publisher | Taylor & Francis |
ISSN | 0143-1161 |
1366-5901 | |
Digital Object Identifier (DOI) | https://doi.org/10.1080/01431160310001618031 |
Web Address (URL) | https://www.tandfonline.com/doi/full/10.1080/01431160310001618031 |
Abstract | This Letter evaluates several narrow-band indices from EO-1 Hyperion imagery in discriminating sugarcane areas affected by 'orange rust' (Puccinia kuehnii) disease. Forty spectral vegetation indices (SVIs), focusing on bands related to leaf pigments, leaf internal structure, and leaf water content, were generated from an image acquired over Mackay, Queensland, Australia. Discriminant function analysis was used to select an optimum set of indices based on their correlations with the discriminant function. The predictive ability of each index was also assessed based on the accuracy of classification. Results demonstrated that Hyperion imagery can be used to detect orange rust disease in sugarcane crops. While some indices that only used visible near-infrared (VNIR) bands (e.g. SIPI and R800/R680) offer separability, the combination of VNIR bands with the moisture-sensitive band (1660 nm) yielded increased separability of rust-affected areas. The newly formulated 'Disease–Water Stress Indices' (DWSI-1~R800/R1660; DSWI-2~R1660/R550; DWSI-5~(R800zR550)/ (R1660zR680)) produced the largest correlations, indicating their superior ability to discriminate sugarcane areas affected by orange rust disease. |
Keywords | hyperspectral remote sensing, Hyperion, sugarcane, disease |
ANZSRC Field of Research 2020 | 401304. Photogrammetry and remote sensing |
300409. Crop and pasture protection (incl. pests, diseases and weeds) | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Faculty of Engineering and Surveying |
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia | |
University of Queensland | |
Mackay Sugar, Australia |
https://research.usq.edu.au/item/9y4wy/detecting-sugarcane-orange-rust-disease-using-eo-1-hyperion-hyperspectral-imagery
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