• DocumentCode
    1922551
  • Title

    Development of a broad landscape monitoring system using hyperspectral imagery to detect pest infestation

  • Author

    Glaser, John ; Casas, Joseph ; Copenhaver, Kenneth ; Mueller, Steffen

  • Author_Institution
    Nat. Risk Manage. Res. Lab., US Environ. Protection Agency, Cincinnati, OH, USA
  • fYear
    2009
  • fDate
    26-28 Aug. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Comprised of 28 million hectares in 2007, the United States (US) maize agricultural landscape was valued at $52 billion. Any threat to the continued dependability of this crop, now important as both a food and fuel source, becomes an important economic and ecological resource management factor for the global economy. Many genetically modified maize varieties contain toxins that target insects, reducing insecticide applications with positive ecological and human health consequences. Crop monitoring is required by US law to manage the development of insect resistance. To assess the onset of resistance, a proactive monitoring system must be able to identify maize infestation across the broad agricultural landscape. Non-destructive monitoring tools are necessary at a scale and definition required to discern insect infestation effects. A joint USEPA and NASA hyperspectral imagery and decision support system project has been successfully evaluated for its ability to distinguish insect infestations in several locations.
  • Keywords
    agricultural engineering; agriculture; agrochemicals; computerised monitoring; condition monitoring; crops; decision support systems; ecology; genetic engineering; industrial economics; nondestructive testing; pest control; US maize agricultural landscape; USEPA; broad landscape monitoring system; crop monitoring; decision support system; ecological resource management; ecology; fuel source; genetically modified maize varieties; human health consequences; hyperspectral imagery; insect infestation effects; insect resistance; nondestructive monitoring tools; pest infestation; toxins; Crops; Decision support systems; Fuel economy; Humans; Hyperspectral imaging; Immune system; Insects; Monitoring; NASA; Resource management; Genetically modified crops; agriculture; bio-fuels; decision support system; policy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on
  • Conference_Location
    Grenoble
  • Print_ISBN
    978-1-4244-4686-5
  • Electronic_ISBN
    978-1-4244-4687-2
  • Type

    conf

  • DOI
    10.1109/WHISPERS.2009.5289005
  • Filename
    5289005