Correlating remote sensing data with the abundance of pupae of the dengue virus mosquito vector, Aedes aegypti, in central Mexico

Max J. Moreno-MadriñÁn, William L. Crosson, Lars Eisen, Sue M. Estes, Maurice G. Estes, Mary Hayden, Sarah N. Hemmings, Dan E. Irwin, Saul Lozano-Fuentes, Andrew J. Monaghan, Dale Quattrochi, Carlos M. Welsh-Rodriguez, Emily Zielinski-Gutierrez

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

Using a geographic transect in Central Mexico, with an elevation/climate gradient, but uniformity in socio-economic conditions among study sites, this study evaluates the applicability of three widely-used remote sensing (RS) products to link weather conditions with the local abundance of the dengue virus mosquito vector, Aedes aegypti (Ae. aegypti). Field-derived entomological measures included estimates for the percentage of premises with the presence of Ae. aegypti pupae and the abundance of Ae. aegypti pupae per premises. Data on mosquito abundance from field surveys were matched with RS data and analyzed for correlation. Daily daytime and nighttime land surface temperature (LST) values were obtained from Moderate Resolution Imaging Spectroradiometer (MODIS)/Aqua cloud-free images within the four weeks preceding the field survey. Tropical Rainfall Measuring Mission (TRMM)-estimated rainfall accumulation was calculated for the four weeks preceding the field survey. Elevation was estimated through a digital elevation model (DEM). Strong correlations were found between mosquito abundance and RS-derived night LST, elevation and rainfall along the elevation/climate gradient. These findings show that RS data can be used to predict Ae. aegypti abundance, but further studies are needed to define the climatic and socio-economic conditions under which the correlations observed herein can be assumed to apply..

Original languageEnglish (US)
Pages (from-to)732-749
Number of pages18
JournalISPRS International Journal of Geo-Information
Volume3
Issue number2
DOIs
StatePublished - Jun 2014

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Keywords

  • Aqua
  • DEM
  • Elevation
  • MODIS
  • Mosquito
  • Rainfall
  • Remote sensing
  • TRMM
  • Temperature

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)

Cite this

Moreno-MadriñÁn, M. J., Crosson, W. L., Eisen, L., Estes, S. M., Estes, M. G., Hayden, M., Hemmings, S. N., Irwin, D. E., Lozano-Fuentes, S., Monaghan, A. J., Quattrochi, D., Welsh-Rodriguez, C. M., & Zielinski-Gutierrez, E. (2014). Correlating remote sensing data with the abundance of pupae of the dengue virus mosquito vector, Aedes aegypti, in central Mexico. ISPRS International Journal of Geo-Information, 3(2), 732-749. https://doi.org/10.3390/ijgi3020732