Identifying Populations Potentially Exposed to Agricultural Pesticides Using Remote Sensing and a Geographic Information System
Pesticides
used in agriculture may cause adverse health effects among the population
living near agricultural areas. However, identifying the populations most
likely to be exposed is difficult. We conducted a feasibility study to determine
whether satellite imagery could be used to reconstruct historical crop patterns.
We used historical Farm Service Agency records as a source of ground reference
data to classify a late summer 1984 satellite image into crop species in a
three-county area in south central Nebraska. Residences from a population-based
epidemiologic study of non-Hodgkin lymphoma were located on the crop maps
using a geographic information system (GIS). Corn, soybeans, sorghum, and
alfalfa were the major crops grown in the study area. Eighty-five percent
of residences could be located, and of these 22% had one of the four major
crops within 500 m of the residence, an intermediate distance for the range
of drift effects from pesticides applied in agriculture. We determined the
proximity of residences to specific crop species and calculated crop-specific
probabilities of pesticide use based on available data. This feasibility study
demonstrated that remote sensing data and historical records on crop location
can be used to create historical crop maps. The crop pesticides that were
likely to have been applied can be estimated when information about crop-specific
pesticide use is available. Using a GIS, zones of potential exposure to agricultural
pesticides and proximity measures can be determined for residences in a study.
Ward, MH; JR Nuckols; SJ Weigel; SK Maxwell; KP Cantor; RS Miller. Identifying Populations Potentially Exposed to Agricultural Pesticides Using Remote Sensing and a Geographic Information System. Environmental Health Perspectives. 108:5-12; 2000.
View the project in PDF Format ( 1.2 MB Download )
Difficulties? | Copyright © 2002-2004 EHASL | Disclaimer | Equal Opportunity | Apply to CSU | Last modified: 28 June 2004


