Geoinformatics & Geostatistics: An OverviewISSN: 2327-4581

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Research Article, Geoinfor Geostat An Overview S Vol: 0 Issue: 1

Modelling the Distribution of Suitable Glossina Spp. Habitat in the North Western parts of Zimbabwe Using Remote Sensing and Climate Data

Farai Matawa1*, Karin S. Murwira1 and William Shereni2
1Scientific and Industrial Research and Development Centre (SIRDC)
2Ministry of Agriculture, Mechanisation and Irrigation Development, Harare, Zimbabwe
Corresponding author : Farai Matawa
Geo-Information and Remote Sensing Institute, SIRDC, 1574 Alpes Road, Hatcliffe, Harare, PO Box 6640, Zimbabwe,
Tel: +263-4-860 336/+263-772-434 126
E-mail: [email protected]
Received: April 02, 2013 Accepted: August 06, 2013 Published: August 16, 2013
Citation: Matawa F, Murwira KS, Shereni W (2013) Modelling the Distribution of Suitable Glossina Spp. Habitat in the North Western parts of Zimbabwe Using Remote Sensing and Climate Data. Geoinfor Geostat: An Overview S1. doi:10.4172/2327-4581.S1-016

Abstract

Modelling the Distribution of Suitable Glossina Spp. Habitat in the North Western parts of Zimbabwe Using Remote Sensing and Climate Data

For eradicating vector borne diseases, earth observation and geoinformation sciences are adding the crucial component of spatial extrapolation from ground observations. For monitoring tsetse flies (Glossina spp.) prevalence in the environment the maximum entropy (MAXENT) technique, presence-only method, was used to map the distribution of their suitable habitat based on remotely sensed vegetation cover and elevation, as well as temperature and rainfall data, derived from WorldClim datasets.

Keywords: Remote Sensing; Maximum entropy; Glossina morsitans; Glossina pallidipes; Area under the curve (AUC); jackknife; WorldClim

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