Remote Monitoring of Wheat Streak Mosaic Progression Using Sub-Pixel Classification of Landsat 5 TM Imagery for Site Specific Disease Management in Winter Wheat

摘要: Wheat streak mosaic (WSM), caused by virus is a viral disease that affects wheat (Triticum aestivum L.), other grains, and numerous grasses over large geographical areas around the world. To improve management crop production, it essential to have adequate methods for monitoring epidemics at various scales multiple times. Remote sensing has become an tool quantifying stress due biotic abiotic factors. The objective of our study was explore utility Landsat 5 TM imagery detecting, quantifying, mapping occurrence WSM in irrigated commercial fields. infection progression biweekly assessed Texas Panhandle during 2007-2008 years. Diseased-wheat separated from uninfected on images using sub-pixel classifier. overall classification accuracies were >91% with kappa coefficient between 0.80 0.94 detection achieved. Omission errors varied 2% 14%, while commission ranged 1% 21%. These results indicate image can be used accurately detect quantify site-specific management. geospatial may substantially monitoring, planning, practices overcoming some shortcomings ground-based surveys such as observer bias inaccessibility. techniques accurate offer unique set advantages including repeatability, area coverage, cost-effectiveness methods. Hence, remote particularly practically critical repeated mo- nitoring time space course growing season.