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Mapping spatial distribution of a disease forecasting model using precipitation and relative humidity measurements provided by weather radar

McGill University
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  • Carrots -- Diseases And Pests -- Québec (Province) -- Forecasting.
  • Cercospora -- Québec (Province) -- Forecasting.
  • Radar Meteorology.
  • Geographic Information Systems -- Québec (Province).
  • Agricultural Science


Many applications of remote sensing in agriculture have been developed since 60 years but mostly since the launch of Landsat 1 in 1972. With time, improvements in spatial, spectral and temporal resolution have been made and generated a resurgence of remote sensing popularity. Combined with agricultural systems modelling, remote sensing data such as weather radar measurements can help to obtain an accurate tool in real-time for agricultural decision-makers. Indeed, precipitation and relative humidity (RH) could become available for the agricultural decision-makers using the McGill Doppler S-band radar. At present, precipitation measurements are available with a spatial resolution of 1 km up to a range of 240 km and RH data could be available with a resolution of a few kilometres up to a range of 40 km. Both weather variables could be available with a time scale of 5 min if requested. These measurements would compensate for the actual lack of a dense weather station network prevailing in southern Quebec.

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