High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery.
Interest in larval source management (LSM) as an adjunct intervention to control and eliminate malaria transmission has recently increased mainly because long-lasting insecticidal nets (LLINs) and indoor residual spray (IRS) are ineffective against exophagic and exophilic mosquitoes. In Amazonian Pe...
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Series: | PLoS Neglected Tropical Diseases |
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doaj-c4586256e4e9416ea2d49899e2e154442020-11-25T02:53:09ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352019-01-01131e000710510.1371/journal.pntd.0007105High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery.Gabriel Carrasco-EscobarEdgar ManriqueJorge Ruiz-CabrejosMarlon SaavedraFreddy AlavaSara BickersmithCatharine PrussingJoseph M VinetzJan E ConnMarta MorenoDionicia GamboaInterest in larval source management (LSM) as an adjunct intervention to control and eliminate malaria transmission has recently increased mainly because long-lasting insecticidal nets (LLINs) and indoor residual spray (IRS) are ineffective against exophagic and exophilic mosquitoes. In Amazonian Peru, the identification of the most productive, positive water bodies would increase the impact of targeted mosquito control on aquatic life stages. The present study explores the use of unmanned aerial vehicles (drones) for identifying Nyssorhynchus darlingi (formerly Anopheles darlingi) breeding sites with high-resolution imagery (~0.02m/pixel) and their multispectral profile in Amazonian Peru. Our results show that high-resolution multispectral imagery can discriminate a profile of water bodies where Ny. darlingi is most likely to breed (overall accuracy 86.73%- 96.98%) with a moderate differentiation of spectral bands. This work provides proof-of-concept of the use of high-resolution images to detect malaria vector breeding sites in Amazonian Peru and such innovative methodology could be crucial for LSM malaria integrated interventions.http://europepmc.org/articles/PMC6353212?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gabriel Carrasco-Escobar Edgar Manrique Jorge Ruiz-Cabrejos Marlon Saavedra Freddy Alava Sara Bickersmith Catharine Prussing Joseph M Vinetz Jan E Conn Marta Moreno Dionicia Gamboa |
spellingShingle |
Gabriel Carrasco-Escobar Edgar Manrique Jorge Ruiz-Cabrejos Marlon Saavedra Freddy Alava Sara Bickersmith Catharine Prussing Joseph M Vinetz Jan E Conn Marta Moreno Dionicia Gamboa High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery. PLoS Neglected Tropical Diseases |
author_facet |
Gabriel Carrasco-Escobar Edgar Manrique Jorge Ruiz-Cabrejos Marlon Saavedra Freddy Alava Sara Bickersmith Catharine Prussing Joseph M Vinetz Jan E Conn Marta Moreno Dionicia Gamboa |
author_sort |
Gabriel Carrasco-Escobar |
title |
High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery. |
title_short |
High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery. |
title_full |
High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery. |
title_fullStr |
High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery. |
title_full_unstemmed |
High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery. |
title_sort |
high-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS Neglected Tropical Diseases |
issn |
1935-2727 1935-2735 |
publishDate |
2019-01-01 |
description |
Interest in larval source management (LSM) as an adjunct intervention to control and eliminate malaria transmission has recently increased mainly because long-lasting insecticidal nets (LLINs) and indoor residual spray (IRS) are ineffective against exophagic and exophilic mosquitoes. In Amazonian Peru, the identification of the most productive, positive water bodies would increase the impact of targeted mosquito control on aquatic life stages. The present study explores the use of unmanned aerial vehicles (drones) for identifying Nyssorhynchus darlingi (formerly Anopheles darlingi) breeding sites with high-resolution imagery (~0.02m/pixel) and their multispectral profile in Amazonian Peru. Our results show that high-resolution multispectral imagery can discriminate a profile of water bodies where Ny. darlingi is most likely to breed (overall accuracy 86.73%- 96.98%) with a moderate differentiation of spectral bands. This work provides proof-of-concept of the use of high-resolution images to detect malaria vector breeding sites in Amazonian Peru and such innovative methodology could be crucial for LSM malaria integrated interventions. |
url |
http://europepmc.org/articles/PMC6353212?pdf=render |
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