International Journal of Remote Sensing · 2005 · 17 citations · 12 references
AgricultureHorticultural SciencesPlant PathologyComputer VisionRemote SensingStored Product EntomologyAgricultural PhotographyInfrared Remote SensingInsect MonitoringPest DetectionRemote Sensing For Pest DetectionSatellite Image InterpretationCitrus FruitsImage Accuracy AssessmentImage-based Pest DetectionInsect Infestation AssessmentMultispectral Pest DetectionRemote Sensing PhotographySatellite Imagery AnalysisSatellite-based Pest Monitoring
This study evaluated high spatial resolution colour‐infrared (CIR) (2.44 m) and pansharpened CIR imagery (0.61 m) for detecting citrus (Citrus spp.) orchards affected by sooty mould (Capnodium citri), an indicator of insect infestation of a citrus grove. These resolutions were chosen because they are equivalent to the spatial resolution of multispectral and pansharpened QuickBird imagery. Citrus groves north‐west of Mission, Texas, USA, were assessed. CIR photography and image processing software were used to develop the images. Sooty mould‐affected areas were readily detected on the CIR and pansharpened CIR images. The latter provided better detail, increasing image interpretation accuracy. Findings of this study support the theory that high spatial resolution satellite imagery may be used to detect sooty mould‐affected citrus orchards.
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Photogrammetric Engineering and Remote Sensing
John Nicol, B. King · UCL Discovery (University College London) · 2007 · 9.4K citations
Canadian Journal of Remote Sensing
Canadian Journal of Remote Sensing · 1988 · 317 citations · Full text
Multispectral imagery band sharpening study
Photogrammetric Engineering & Remote Sensing · 1996 · 194 citations