Multisensor earth observations to characterize wetlands and malaria epidemiology in Ethiopia

Water Resources Research
By: , and 

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Abstract

Malaria is a major global public health problem, particularly in Sub-Saharan Africa. The spatial heterogeneity of malaria can be affected by factors such as hydrological processes, physiography, and land cover patterns. Tropical wetlands, for example, are important hydrological features that can serve as mosquito breeding habitats. Mapping and monitoring of wetlands using satellite remote sensing can thus help to target interventions aimed at reducing malaria transmission. The objective of this study was to map wetlands and other major land cover types in the Amhara region of Ethiopia and to analyze district-level associations of malaria and wetlands across the region. We evaluated three random forests classification models using remotely sensed topographic and spectral data based on Shuttle Radar Topographic Mission (SRTM) and Landsat TM/ETM+ imagery, respectively. The model that integrated data from both sensors yielded more accurate land cover classification than single-sensor models. The resulting map of wetlands and other major land cover classes had an overall accuracy of 93.5%. Topographic indices and subpixel level fractional cover indices contributed most strongly to the land cover classification. Further, we found strong spatial associations of percent area of wetlands with malaria cases at the district level across the dry, wet, and fall seasons. Overall, our study provided the most extensive map of wetlands for the Amhara region and documented spatiotemporal associations of wetlands and malaria risk at a broad regional level. These findings can assist public health personnel in developing strategies to effectively control and eliminate malaria in the region.

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Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Multisensor earth observations to characterize wetlands and malaria epidemiology in Ethiopia
Series title Water Resources Research
DOI 10.1002/2014WR015634
Volume 50
Issue 11
Year Published 2014
Language English
Publisher American Geophysical Union
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 16 p.
First page 8791
Last page 8806
Country Ethiopia
Other Geospatial Amhara region