Additional file 4 of The application of drones for mosquito larval habitat identification in rural environments: a practical approach for malaria control?

Stanton, Michelle C.; Kalonde, Patrick; Zembere, Kennedy; Hoek Spaans, Remy; Jones, Christopher M.

doi:10.6084/m9.figshare.14707759.v1

12936_2021_3759_MOESM4_ESM.docx (17.42 kB)

Additional file 4 of The application of drones for mosquito larval habitat identification in rural environments: a practical approach for malaria control?

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posted on 2021-06-01, 03:39 authored by Michelle C. Stanton, Patrick Kalonde, Kennedy Zembere, Remy Hoek Spaans, Christopher M. Jones

Additional file 4. An example of a contingency table and individual class accuracy summaries obtained using a classification obtained without NIR-derived variables, applied to the interpolated area only.

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Medical Research Council Wellcome Trust (GB)

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Drones Machine-learning Object-based image classification Mosquito Anopheles Malaria Larval habitat Mapping

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Additional file 4 of The application of drones for mosquito larval habitat identification in rural environments: a practical approach for malaria control?

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Medical Research Council Wellcome Trust (GB)

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