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Detection of temporary flooded areas with potential floodwater mosquito production using imaging radar
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Population and Conservation Biology.
2012 (English)In: International Journal of Remote Sensing, ISSN 0143-1161, E-ISSN 1366-5901, Vol. 33, no 6, 1943-1953 p.Article in journal (Refereed) Published
Abstract [en]

Temporarily flooded areas can produce enormous numbers of floodwater mosquitoes, causing tremendous nuisance to people living in the vicinity. The aim of this study is to develop a remote-sensing method for detecting temporary flooded areas that can produce floodwater mosquitoes. For this objective, synthetic aperture radar (SAR) imagery from the European Remote Sensing satellite (ERS-2) and the Environmental Satellite (Envisat) are chosen. The images cover both flooded and dry periods around Lake Farnebofjarden, located in the lowlands of the River Dalalven, central Sweden, during the vegetation season between 2000 and 2006. Unsupervised classification and principal component analysis (PCA) are tested as methods for detecting floodwater mosquito production sites. In the unsupervised classification experiment, four types of images are tested. The classification of a synthetic colour image gives the best result with an overall accuracy of 85.7% and a kappa value of 0.7, as well as a 46% detection rate of field-mapped flooded areas. PCA is performed on a data set of 16 time series radar images. The resulting principal component (PC) bands provide information about flooding probability as well as vegetation structures. Regular flooding increases the probability for an area to provide breeding sites for floodwater mosquitoes. Thus, this approach will be very useful in estimating the risk of floodwater mosquito establishment.

Place, publisher, year, edition, pages
2012. Vol. 33, no 6, 1943-1953 p.
National Category
Biological Sciences
URN: urn:nbn:se:uu:diva-174218DOI: 10.1080/01431161.2011.604053ISI: 000302162000016OAI: oai:DiVA.org:uu-174218DiVA: diva2:526659
Available from: 2012-05-14 Created: 2012-05-14 Last updated: 2012-05-14Bibliographically approved

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Schafer, Martina L.
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Population and Conservation Biology
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