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§
*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).
