INVESTIGADORES
ANDREO Veronica carolina
congresos y reuniones científicas
Título:
PREDICTING AEDES AEGYPTI EGGS COUNT USING REMOTE SENSING DATA AND A GENERALIZED LINEAR MODEL
Autor/es:
OLADIMEJI MUDELE; VERÓNICA ANDREO; XIMENA PORCASI; MARCELO SCAVUZZO; LAURA LOPEZ; PAOLO GAMBA
Lugar:
Bruselas
Reunión:
Conferencia; IGARSS; 2021
Institución organizadora:
IEEE - GRSS
Resumen:
Here, we present a method for temporal modeling of theoviposition activity of Ae. aegypti mosquitoes based ona weighted generalised linear model (GLM) with explana-tory environmental effects extracted from freely availableremotely sensing (satellite) images. Our results show po-tential for operational applications. Experimental results areprovided using field collected Ae. aegypti eggs count data inCórdoba, Argentina.
