Improving mosquito population predictions in the Greater Toronto Area using remote sensing imagery
- Authors:
-
- Los Alamos National Laboratory
- Public Health Ontario
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Laboratory Directed Research and Development (LDRD) Program
- OSTI Identifier:
- 1755879
- Report Number(s):
- LA-UR-20-22587
- DOE Contract Number:
- 89233218CNA000001
- Resource Type:
- Conference
- Resource Relation:
- Conference: IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI) ; 2020-03-30 - 2020-03-30 ;
- Country of Publication:
- United States
- Language:
- English
- Subject:
- remote sensing, mosquitoes
Citation Formats
DeMets, Sydney Anne, Ziemann, Amanda, Manore, Carrie Anna, and Russell, Curtis. Improving mosquito population predictions in the Greater Toronto Area using remote sensing imagery. United States: N. p., 2020.
Web. doi:10.1109/SSIAI49293.2020.9094591.
DeMets, Sydney Anne, Ziemann, Amanda, Manore, Carrie Anna, & Russell, Curtis. Improving mosquito population predictions in the Greater Toronto Area using remote sensing imagery. United States. https://doi.org/10.1109/SSIAI49293.2020.9094591
DeMets, Sydney Anne, Ziemann, Amanda, Manore, Carrie Anna, and Russell, Curtis. 2020.
"Improving mosquito population predictions in the Greater Toronto Area using remote sensing imagery". United States. https://doi.org/10.1109/SSIAI49293.2020.9094591. https://www.osti.gov/servlets/purl/1755879.
@article{osti_1755879,
title = {Improving mosquito population predictions in the Greater Toronto Area using remote sensing imagery},
author = {DeMets, Sydney Anne and Ziemann, Amanda and Manore, Carrie Anna and Russell, Curtis},
abstractNote = {},
doi = {10.1109/SSIAI49293.2020.9094591},
url = {https://www.osti.gov/biblio/1755879},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Dec 24 00:00:00 EST 2020},
month = {Thu Dec 24 00:00:00 EST 2020}
}
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