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

Max ​Moreno Madrinan, 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 Citations (Scopus)

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 1 2014

Fingerprint

pupa
mosquito
Viruses
Remote sensing
virus
Mexico
remote sensing
Rain
field survey
climate
study conditions
economic conditions
land surface
surface temperature
Economics
economics
rainfall
TRMM
MODIS
digital elevation model

Keywords

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

ASJC Scopus subject areas

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

Cite this

Correlating remote sensing data with the abundance of pupae of the dengue virus mosquito vector, Aedes aegypti, in central Mexico. / ​Moreno Madrinan, Max; Crosson, William L.; Eisen, Lars; Estes, Sue M.; Estes, Maurice G.; Hayden, Mary; Hemmings, Sarah N.; Irwin, Dan E.; Lozano-Fuentes, Saul; Monaghan, Andrew J.; Quattrochi, Dale; Welsh-Rodriguez, Carlos M.; Zielinski-Gutierrez, Emily.

In: ISPRS International Journal of Geo-Information, Vol. 3, No. 2, 01.06.2014, p. 732-749.

Research output: Contribution to journalArticle

​Moreno Madrinan, M, Crosson, WL, Eisen, L, Estes, SM, Estes, MG, Hayden, M, Hemmings, SN, Irwin, DE, Lozano-Fuentes, S, Monaghan, AJ, Quattrochi, D, Welsh-Rodriguez, CM & 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, vol. 3, no. 2, pp. 732-749. https://doi.org/10.3390/ijgi3020732
​Moreno Madrinan, Max ; Crosson, William L. ; Eisen, Lars ; Estes, Sue M. ; Estes, Maurice G. ; Hayden, Mary ; Hemmings, Sarah N. ; Irwin, Dan E. ; Lozano-Fuentes, Saul ; Monaghan, Andrew J. ; Quattrochi, Dale ; Welsh-Rodriguez, Carlos M. ; Zielinski-Gutierrez, Emily. / Correlating remote sensing data with the abundance of pupae of the dengue virus mosquito vector, Aedes aegypti, in central Mexico. In: ISPRS International Journal of Geo-Information. 2014 ; Vol. 3, No. 2. pp. 732-749.
@article{426932513ca14037bdd56479c0539155,
title = "Correlating remote sensing data with the abundance of pupae of the dengue virus mosquito vector, Aedes aegypti, in central Mexico",
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..",
keywords = "Aqua, DEM, Elevation, MODIS, Mosquito, Rainfall, Remote sensing, Temperature, TRMM",
author = "{​Moreno Madrinan}, Max and Crosson, {William L.} and Lars Eisen and Estes, {Sue M.} and Estes, {Maurice G.} and Mary Hayden and Hemmings, {Sarah N.} and Irwin, {Dan E.} and Saul Lozano-Fuentes and Monaghan, {Andrew J.} and Dale Quattrochi and Welsh-Rodriguez, {Carlos M.} and Emily Zielinski-Gutierrez",
year = "2014",
month = "6",
day = "1",
doi = "10.3390/ijgi3020732",
language = "English (US)",
volume = "3",
pages = "732--749",
journal = "ISPRS International Journal of Geo-Information",
issn = "2220-9964",
publisher = "MDPI AG",
number = "2",

}

TY - JOUR

T1 - Correlating remote sensing data with the abundance of pupae of the dengue virus mosquito vector, Aedes aegypti, in central Mexico

AU - ​Moreno Madrinan, Max

AU - Crosson, William L.

AU - Eisen, Lars

AU - Estes, Sue M.

AU - Estes, Maurice G.

AU - Hayden, Mary

AU - Hemmings, Sarah N.

AU - Irwin, Dan E.

AU - Lozano-Fuentes, Saul

AU - Monaghan, Andrew J.

AU - Quattrochi, Dale

AU - Welsh-Rodriguez, Carlos M.

AU - Zielinski-Gutierrez, Emily

PY - 2014/6/1

Y1 - 2014/6/1

N2 - 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..

AB - 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..

KW - Aqua

KW - DEM

KW - Elevation

KW - MODIS

KW - Mosquito

KW - Rainfall

KW - Remote sensing

KW - Temperature

KW - TRMM

UR - http://www.scopus.com/inward/record.url?scp=84948980327&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84948980327&partnerID=8YFLogxK

U2 - 10.3390/ijgi3020732

DO - 10.3390/ijgi3020732

M3 - Article

VL - 3

SP - 732

EP - 749

JO - ISPRS International Journal of Geo-Information

JF - ISPRS International Journal of Geo-Information

SN - 2220-9964

IS - 2

ER -