2020
DOI: 10.4081/gh.2020.851
|View full text |Cite
|
Sign up to set email alerts
|

Rapid identification of shallow inundation for mosquito disease mitigation using drone-derived multispectral imagery

Abstract: Mosquito breeding habitat identification often relies on slow, labour-intensive and expensive ground surveys. With advances in remote sensing and autonomous flight technologies, we endeavoured to accelerate this detection by assessing the effectiveness of a drone multispectral imaging system to determine areas of shallow inundation in an intertidal saltmarsh in South Australia. Through laboratory experiments, we characterised Near-Infrared (NIR) reflectance responses to water depth and vegetation cover, and es… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 10 publications
(7 citation statements)
references
References 28 publications
0
6
0
Order By: Relevance
“…This is particularly the case in areas with COVID-19 cases, where health personnel should not be in contact with inhabitants [15,32]. Currently, evidence of drone effectiveness for identifying mosquito breeding sites is scarce, and it is based on Anopheles mosquitos in rural or semirural areas, and in areas with more extensive and different landscapes [33,34].…”
Section: Discussionmentioning
confidence: 99%
“…This is particularly the case in areas with COVID-19 cases, where health personnel should not be in contact with inhabitants [15,32]. Currently, evidence of drone effectiveness for identifying mosquito breeding sites is scarce, and it is based on Anopheles mosquitos in rural or semirural areas, and in areas with more extensive and different landscapes [33,34].…”
Section: Discussionmentioning
confidence: 99%
“…UAVs are multipurpose platforms to which a variety of sensory equipment can be mounted. Based on user preference, UAVs can utilize passive sensors that capture reflected rays of electromagnetic radiation such as thermal, near infrared or visible spectrum, or combinations thereof in hyperspectral cameras [27,34,35]. Additionally, these systems may incorporate active sensors, such as radar or lidar which characterize the three-dimensional structure of terrain and vegetation.…”
Section: Uav Use In Vector Habitat Surveillancementioning
confidence: 99%
“…Technological improvements [154] Monitoring the batimetry and the surface area of reservoirs Improvements in understanding and monitoring the water reservoirs. N/A [155] Restoration of freshwater inflows for wetlands…”
Section: Technological Improvements;mentioning
confidence: 99%