Full TGIF Record # 72081
Item 1 of 1
Publication Type:
i
Refereed
Author(s):Dister, Sheri W.; Fish, Durland; Bros, Shannon M.; Frank, Denise H.; Wood, Byron L.
Title:Landscape chacterization of peridomestic risk for Lyme disease using satellite imagery
Source:American Journal of Tropical Medicine and Hygiene. Vol. 57, No. 6, 1997, p. 687-692.
Publishing Information:[Lawrence, Kansas: Allen Press]
# of Pages:6
Keywords:TIC Keywords: Geographical distribution; Ecological distribution; Environmental factors; Landscape; Characteristics; Risk assessment; Exposure assessment; Lyme disease; Photography; Ixodes scapularis; Lawn turf; Remote sensing; GIS; Technology
Geographic Terms:Weschester County, New York
Abstract/Contents:"Remotely sensed characterizations of landscape composition were evaluated for Lyme disease exposure risk on 337 residential properties in two communities of suburban Westchester County, New York. Properties were categorized as no, low, or high risk based on seasonally adjusted densities of Ixodes scapularis nymphs, determined by drag sampling during June and July 1990. Spectral indices based on Landsat Thematic Mapper data provided relative measures of vegetation structure and moisture (wetness), as well as vegetation abundance (greenness). A geographic information system (GIS) was used to spatially quantify and relate the remotely sensed landscape variables to risk category. A comparison of the two communities showed that Chappaqua, which had more high-risk properties (P<0.001), was significantly greener and wetter than Armonk (P<0.001). Furthermore, within Chappaqua, high-risk properties were significantly greener and wetter than lower-risk properties in this community (P<0.01). The high-risk properties appeared to contain a greater proportion of broadleaf trees, while lower-risk properties were interpreted as having a greater proportion of nonvegetative cover and/or open lawn. The ability to distinguish these fine scale differences among communities and individual properties illustrates the efficiency of a remote sensing/GIS-based approach for identifying peridomestic risk of Lyme disease over large geographic areas."
Language:English
References:43
See Also:Other items relating to: LYME
Note:Tables
Figures
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Dister, S. W., D. Fish, S. M. Bros, D. H. Frank, and B. L. Wood. 1997. Landscape chacterization of peridomestic risk for Lyme disease using satellite imagery. Am. J. Trop. Med. Hyg. 57(6):p. 687-692.
Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=72081
If there are problems with this record, send us feedback about record 72081.
Choices for finding the above item:
Find Item @ MSU
MSU catalog number: RC 960 .A52
Request through your local library's inter-library loan service (bring or send a copy of this TGIF record)