2000
DOI: 10.2307/3454289
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Identifying Populations Potentially Exposed to Agricultural Pesticides Using Remote Sensing and a Geographic Information System

Abstract: Pesticides used in agriculture may cause adverse health effects among the population living near agricultural areas. However, identifring the populations most likely to be exposed is difficult.We conducted a feasibility study to determine whether satellite imagery could be used to reconstmct historical crop patterns. We used historical Fann Service Agency records as a source of ground reference data to classify a late summer 1984 satellite image into crop species in a threecounty area in south central Nebraska… Show more

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Cited by 59 publications
(27 citation statements)
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“…The GIS have also been used to model pesticide exposures. 61,64,82,84 In most cases, pesticide use was indirectly estimated based on crop type. The resulting exposure estimates were limited by crop misclassification and the assumption that all fields were treated similarly for a given crop.…”
Section: Exposure Measurements and Timing Of Exposurementioning
confidence: 99%
“…The GIS have also been used to model pesticide exposures. 61,64,82,84 In most cases, pesticide use was indirectly estimated based on crop type. The resulting exposure estimates were limited by crop misclassification and the assumption that all fields were treated similarly for a given crop.…”
Section: Exposure Measurements and Timing Of Exposurementioning
confidence: 99%
“…Pesticide exposure assessment studies are typically done in retrospect [3,7,24,25] where historical crop maps are required. The ability to identify specific crop types grown near individual residences is a key element for improving the geographic scale of modeled pesticide exposure in California [26-28].…”
Section: Discussionmentioning
confidence: 99%
“…The use of infra-red images, based on the greenness reflectance, has been used successfully in previous US studies to reconstruct land use data [39, 40]. Satellites images are available from the Landsat® program from 1972 with an 80 m spatial resolution and from the SPOT® program from 1986 with a 20 m spatial resolution.…”
Section: Methodsmentioning
confidence: 99%