Adopt a Pixel 3 km: A Multiscale Data Set Linking Remotely Sensed Land Cover Imagery With Field Based Citizen Science Observation

Low, Russanne; Nelson, Peter O.; Soeffing, Cassie; Clark, Andrew R.

doi:10.3389/fclim.2021.658063

Cited by 3 publications

(4 citation statements)

References 42 publications

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“…The GLOBE Observer mobile app supports the coincident collection of both Mosquito Habitat Mapper data and Land Cover data, and these data provide high-resolution land cover descriptions immediately surrounding oviposition sites. Together, they enable identification of microhabitat and microclimate features undetectable in Landsat (30 m) or Sentinel (10 m) image products [ 75 ]. By addressing this known data gap using both GLOBE Observer tools, citizen scientists have the potential to improve the fidelity of mosquito vector borne disease risk models that routinely employ environmental data obtained from satellites.…”

Section: Resultsmentioning

confidence: 99%

“…For mosquito surveillance, where the distribution of larval habitats is associated nonrandomly with standing water, moveable containers, and ephemeral water features, an opportunistic data bias may be of less significance than in other research applications. However, it is also possible to use the GLOBE Observer app in investigations that require systematically sampled data [ 75 ], (see also Section 3.2 , below).…”

Section: Methodsmentioning

confidence: 99%

“…In mosquito surveillance, however, the spatial bias of observations made in and around habitation centers is useful, because the observations and mitigation efforts support the health of these communities. While counts of mosquito larvae provide insight into the ubiquity of specific taxa, our primary research focus seeks to identify the kinds of mosquitoes associated with different larval habitat types [26] and how habitats are distributed with respect to land cover types [75]. These data have also been used to identify the presence of harmful invasive species in new contexts [82].…”

Section: Challenges Associated With Sampling Biasmentioning

confidence: 99%

See 2 more Smart Citations

Building International Capacity for Citizen Scientist Engagement in Mosquito Surveillance and Mitigation: The GLOBE Program’s GLOBE Observer Mosquito Habitat Mapper

Low

Schwerin

Boger

et al. 2022

Insects

Self Cite

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The GLOBE Program’s GLOBE Observer Mosquito Habitat Mapper is a no-cost citizen scientist data collection tool compatible with Android and iOS devices. Available in 14 languages and 126 countries, it supports mosquito vector surveillance, mitigation, and education by interested individuals and as part of participatory community surveillance programs. For low-resource communities where mosquito control services are inadequate, the Mosquito Habitat Mapper supports local health action, empowerment, and environmental justice. The tangible benefits to human health supported by the Mosquito Habitat Mapper have encouraged its wide adoption, with more than 32,000 observations submitted from 84 countries. The Mosquito Habitat Mapper surveillance and data collection tool is complemented by an open database, a map visualization interface, data processing and analysis tools, and a supporting education and outreach campaign. The mobile app tool and associated research and education assets can be rapidly deployed in the event of a pandemic or local disease outbreak, contributing to global readiness and resilience in the face of mosquito-borne disease. Here, we describe the app, the Mosquito Habitat Mapper information system, examples of Mosquito Habitat Mapper deployment in scientific research, and the outreach campaign that supports volunteer training and STEM education of students worldwide.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Challenges Associated With Sampling Biasmentioning

confidence: 99%

See 1 more Smart Citation

Building International Capacity for Citizen Scientist Engagement in Mosquito Surveillance and Mitigation: The GLOBE Program’s GLOBE Observer Mosquito Habitat Mapper

Low

Schwerin

Boger

et al. 2022

Insects

Self Cite

View full text Add to dashboard Cite

show abstract

“…[ 70 ]). Specifically, these data provide high-resolution land cover features immediately surrounding larvae and water sources, enable the identification of microhabitat and microclimate features undetectable in Landsat (30 m) or Sentinel (10 m) image products [ 71 ], and have the potential to improve the predictive power of mosquito-borne disease risk models, which frequently employ land cover data obtained from satellites (see systematic review by [ 72 ]).…”

Section: Discussionmentioning

confidence: 99%

Integrating Global Citizen Science Platforms to Enable Next-Generation Surveillance of Invasive and Vector Mosquitoes

Carney

Mapes

Low

et al. 2022

Insects

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Mosquito-borne diseases continue to ravage humankind with >700 million infections and nearly one million deaths every year. Yet only a small percentage of the >3500 mosquito species transmit diseases, necessitating both extensive surveillance and precise identification. Unfortunately, such efforts are costly, time-consuming, and require entomological expertise. As envisioned by the Global Mosquito Alert Consortium, citizen science can provide a scalable solution. However, disparate data standards across existing platforms have thus far precluded truly global integration. Here, utilizing Open Geospatial Consortium standards, we harmonized four data streams from three established mobile apps—Mosquito Alert, iNaturalist, and GLOBE Observer’s Mosquito Habitat Mapper and Land Cover—to facilitate interoperability and utility for researchers, mosquito control personnel, and policymakers. We also launched coordinated media campaigns that generated unprecedented numbers and types of observations, including successfully capturing the first images of targeted invasive and vector species. Additionally, we leveraged pooled image data to develop a toolset of artificial intelligence algorithms for future deployment in taxonomic and anatomical identification. Ultimately, by harnessing the combined powers of citizen science and artificial intelligence, we establish a next-generation surveillance framework to serve as a united front to combat the ongoing threat of mosquito-borne diseases worldwide.

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Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegypti

Knoblauch

Lautenbach

et al. 2023

International Journal of Applied Earth Observation and Geoinfor

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Adopt a Pixel 3 km: A Multiscale Data Set Linking Remotely Sensed Land Cover Imagery With Field Based Citizen Science Observation

Cited by 3 publications

References 42 publications

Building International Capacity for Citizen Scientist Engagement in Mosquito Surveillance and Mitigation: The GLOBE Program’s GLOBE Observer Mosquito Habitat Mapper

Building International Capacity for Citizen Scientist Engagement in Mosquito Surveillance and Mitigation: The GLOBE Program’s GLOBE Observer Mosquito Habitat Mapper

Integrating Global Citizen Science Platforms to Enable Next-Generation Surveillance of Invasive and Vector Mosquitoes

Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegypti

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