Developing the framework for a risk map for mite vectored viruses in wheat resulting from pre-harvest hail damage |
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| Institution: | 1. Center for Advanced Land Management Information Technologies, School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, USA;2. Department of Entomology, University of Nebraska-Lincoln, Lincoln, NE, USA;3. Department of Plant Pathology, University of Nebraska-Lincoln, Lincoln, NE, USA;4. Cooperative Institute of Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, USA;5. National Severe Storms Laboratory, National Oceanic and Atmospheric Administration, Norman, OK, USA;1. Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA;2. Naval Research Laboratory, Washington, DC 20375, USA;3. NOAA Space Weather Prediction Center (Ret.), Boulder, CO 80305, USA;4. CSPAR, University of Alabama, Huntsville, AL 35899, USA;5. Exploration Physics International, Inc., Huntsville, AL 35806, USA;6. NASA/GSFC, Greenbelt, MD, USA;1. School of Engineering and ICT, University of Tasmania, Australia;2. Remote Sensing Research Unit, Meraka Institute, CSIR, Pretoria, South Africa;1. RPS ASA, South Kingstown, RI 02879, USA;2. Department of Ocean Sciences, Inha University, Incheon 402-751, South Korea;3. Department of Oceanography, Pusan National University, Busan 609-735, South Korea;4. IMSG, EMC/NCEP/NWS/NOAA, College Park, MD, USA;5. Korea Polar Research Institute, Incheon 406-840, South Korea;6. Scottish Association for Marine Science, Oban PA37 1QA, UK;7. Korea Institute of Ocean Science and Technology, Ansan 426-744, South Korea;1. EECS, University of Central Florida, United States;2. CREOL, University of Central Florida, United States;3. IRISA, Université de Rennes 1, France |
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| Abstract: | There is a strong economic incentive to reduce mite-vectored virus outbreaks. Most outbreaks in the central High Plains of the United States occur in the presence of volunteer wheat that emerges before harvest as a result of hail storms. This study provides a conceptual framework for developing a risk map for wheat diseases caused by mite-vectored viruses based on pre-harvest hail events. Traditional methods that use NDVI were found to be unsuitable due to low chlorophyll content in wheat at harvest. Site-level hyperspectral reflectance from mechanically hailed wheat showed increased canopy albedo. Therefore, any increase in NIR combined with large increases in red reflectance near harvest can be used to assign some level of risk. The regional model presented in this study utilized Landsat TM/ETM+ data and MODIS imagery to help gap-fill missing data. NOAA hail maps that estimate hail size were used to refine the area most likely at risk. The date range for each year was shifted to account for annual variations in crop phenology based on USDA Agriculture statistics for percent harvest of wheat. Between 2003 and 2013, there was a moderate trend (R2 = 0.72) between the county-level insurance claims for Cheyenne County, Nebraska and the area determined to be at risk by the model (excluding the NOAA hail size product due to limited availability) when years with low hail claims (<400 ha) were excluded. These results demonstrate the potential of an operational risk map for mite-vectored viruses due to pre-season hail events. |
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| Keywords: | Remote sensing Landsat MODIS NOAA hail product Nebraska |
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