Accession Number:

ADA258532

Title:

The Use of Coarse Resolution Satellite Imagery to Predict Human Puumala Virus Epidemics in Sweden.

Descriptive Note:

Doctoral thesis,

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH

Personal Author(s):

Report Date:

1992-09-11

Pagination or Media Count:

161.0

Abstract:

Contents Evaluate the Normalized difference Vegetation Index NDVI as a Predictor of Bank Vole Population Fluctuations Assess the Association Between NDVI Values and Weather Parameters Estimate the Population Prevalence of Puumala Virus Antibody in Bank Voles Determine if An Infectious Disease Epidemiologic Model Using NDVI can be Developed to Predict Human Puumala Virus Outbreaks The Animal Reservoir Some Principles of Satellite Remote Sensing The Application of Satellite Remote Sensing Techniques to Epidemiology The NOAA-9 Spacecraft and the AVHRR Sensor, Normalized Difference Vegetation Index NDVI.

Subject Categories:

  • Biology
  • Medicine and Medical Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE