Temperature and humidity have been identified as significant determinants of suitable blacklegged tick (Ixodes scapularis) habitat. The temperature–vegetation dryness index (TVDI) uses remotely sensed observations of both temperature and vegetation cover to characterize
moisture status on the ground. The TVDI has previously been applied to large studies of conservation, drought monitoring, and disease forecasting. In this study, we applied the TDVI model in an effort to characterize land surface conditions influencing tick habitat and human health risk in
the southern New England region of the USA. Findings derived from Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) and normalized difference vegetation index (NDVI) data products in TDVI modelling and site-specific validations suggested that remotely sensed
surface moisture conditions is one environmental parameter that could be useful in large-scale tick habitat monitoring.
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Document Type: Research Article
Department of Plant Sciences and Entomology,University of Rhode Island, Kingston,RI,02881, USA
Department of Natural Resources Science,University of Rhode Island, Kingston,RI,02881, USA
Publication date: January 10, 2013
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