Using Remotely Sensed Data To Identify Areas at Risk for Hantavirus Pulmonary Syndrome
Gregory E. Glass* , James E. Cheek†, Jonathan A. Patz*, Timothy M. Shields*, Timothy J. Doyle‡, Douglas A. Thoroughman†, Darcy K. Hunt†, Russell E. Enscore§, Kenneth L. Gage§, Charles Irland†, C. J. Peters¶, and Ralph Bryan§
Author affiliations: *The Johns Hopkins School of Hygiene and Public Health, Baltimore, Maryland, USA; †Indian Health Service, Albuquerque, New Mexico, USA; ‡Centers for Disease Control and Prevention, Albuquerque, New Mexico, USA; §Centers for Disease Control and Prevention, Ft. Collins, Colorado, USA; and ¶Centers for Disease Control and Prevention, Atlanta, Georgia, USA
Figure 4. The normalized difference vegetation index (NDVI) scores of the study area by Thematic Mapping bands 3 and 4. Vegetation growth increased from brown though yellow to green. There was a substantial portion of high-risk area (especially the eastern portion of the image) where the NDVI image pixels did not obviously correspond to high-risk areas (see Figure 3 for comparison).
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