Predicting the location of larval habitats of Anopheles mosquitoes using remote sensing and soil type data

Author:

Youssefi Fahimeh,Javad Valadan Zoej Mohammad,Ali Hanafi-Bojd Ahmad,Borahani Dariane Alireza,Khaki Mehdi,Safdarinezhad Alireza

Funder

INSF

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference44 articles.

1. Abbasi, M., Hanafi-Bojd, A.A., Oshaghi, M.A., Vatandoost, H., Yaghoobi-Ershadi, M.R. and Hazratian, T. 2019. “Laboratory estimation of growth degree-day (GDD) developmental requirements of Anopheles stephensi (Diptera: Culicidae). ” Proceedings of the 2nd International Congress of Climate Change and Vector-Borne Diseases, Shiraz, Iran. https://civilica.com/doc/965827.

2. Assessment of malaria resurgence vulnerability in Fayoum, Egypt Using Remote Sensing and GIS;Abdelsattar;The Egyptian Journal of Remote Sensing and Space Science,2021

3. Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa;Adeola;Geospatial health,2019

4. Assessment of photogrammetric mapping accuracy based on variation ground control points number using unmanned aerial vehicle;Agüera-Vega;Measurement,2017

5. Barik, T.K., 2015. Ecologically sound mosquito vector control in river basins. InEnvironmental management of river basin ecosystems,pp. 749-761. doi: 10.1007/978-3-319-13425-3_33.

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