MODIS-derived land surface moisture conditions for monitoring blacklegged tick habitat in southern New England

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.

[1]  S. Randolph Ticks and tick-borne disease systems in space and from space. , 2000, Advances in parasitology.

[2]  Yang Han,et al.  Estimating Soil Moisture Conditions of the Greater Changbai Mountains by Land Surface Temperature and NDVI , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[3]  T. Carlson An Overview of the “Triangle Method” for Estimating Surface Evapotranspiration and Soil Moisture from Satellite Imagery , 2007, Sensors (Basel, Switzerland).

[4]  B. Wood,et al.  Landscape characterization of peridomestic risk for Lyme disease using satellite imagery. , 1997, The American journal of tropical medicine and hygiene.

[5]  D. Bisanzio,et al.  Temporal Variations in the Usefulness of Normalized Difference Vegetation Index as a Predictor for Ixodes ricinus (Acari: Ixodidae) in a Borrelia lusitaniae Focus in Tuscany, Central Italy , 2008, Journal of medical entomology.

[6]  S. Rodgers,et al.  Duration of Exposure to Suboptimal Atmospheric Moisture Affects Nymphal Blacklegged Tick Survival , 2007, Journal of medical entomology.

[7]  S. Rodgers,et al.  Evaluating Satellite Sensor-Derived Indices for Lyme Disease Risk Prediction , 2006, Journal of medical entomology.

[8]  Agustín Estrada-Peña,et al.  Increasing habitat suitability in the United States for the tick that transmits Lyme disease: a remote sensing approach. , 2002, Environmental health perspectives.

[9]  Chi-Farn Chen,et al.  Monitoring of soil moisture variability in relation to rice cropping systems in the Vietnamese Mekong Delta using MODIS data , 2011 .

[10]  R. Eisen,et al.  Remote Sensing (Normalized Difference Vegetation Index) Classification of Risk Versus Minimal Risk Habitats for Human Exposure to Ixodes pacificus (Acari: Ixodidae) Nymphs in Mendocino County, California , 2005, Journal of medical entomology.

[11]  Z. Wan,et al.  Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index products for monitoring drought in the southern Great Plains, USA , 2004 .

[12]  K. Stafford Survival of immature Ixodes scapularis (Acari: Ixodidae) at different relative humidities. , 1994, Journal of medical entomology.

[13]  U. Kitron,et al.  Spatial analysis of the distribution of Lyme disease in Wisconsin. , 1997, American journal of epidemiology.

[14]  S. Running,et al.  Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data , 1989 .

[15]  Dongsheng Yu,et al.  Relationship between oriental migratory locust plague and soil moisture extracted from MODIS data , 2008, Int. J. Appl. Earth Obs. Geoinformation.

[16]  G. Petropoulos,et al.  A review of Ts/VI remote sensing based methods for the retrieval of land surface energy fluxes and soil surface moisture , 2009 .

[17]  A Estrada-Peña,et al.  Geostatistics and remote sensing as predictive tools of tick distribution: a cokriging system to estimate Ixodes scapularis (Acari: Ixodidae) habitat suitability in the United States and Canada from advanced very high resolution radiometer satellite imagery. , 1998, Journal of medical entomology.

[18]  I. Sandholt,et al.  A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status , 2002 .