U.S. Geological Survey Earth Resource Observation and Science Center, Sioux Falls, South Dakota 57198, USA.
J Expo Sci Environ Epidemiol. 2010 Mar;20(2):176-85. doi: 10.1038/jes.2009.7. Epub 2009 Feb 25.
In recent years, geographic information systems (GIS) have increasingly been used for reconstructing individual-level exposures to environmental contaminants in epidemiological research. Remotely sensed data can be useful in creating space-time models of environmental measures. The primary advantage of using remotely sensed data is that it allows for study at the local scale (e.g., residential level) without requiring expensive, time-consuming monitoring campaigns. The purpose of our study was to identify how land surface remotely sensed data are currently being used to study the relationship between cancer and environmental contaminants, focusing primarily on agricultural chemical exposure assessment applications. We present the results of a comprehensive literature review of epidemiological research where remotely sensed imagery or land cover maps derived from remotely sensed imagery were applied. We also discuss the strengths and limitations of the most commonly used imagery data (aerial photographs and Landsat satellite imagery) and land cover maps.
近年来，地理信息系统（GIS）在流行病学研究中越来越多地用于重建个体层面的环境污染物暴露情况。遥感数据可用于创建环境测量的时空模型。使用遥感数据的主要优势在于，它允许在不进行昂贵、耗时的监测活动的情况下，在本地尺度（例如，住宅水平）进行研究。我们的研究目的是确定如何利用地表遥感数据来研究癌症与环境污染物之间的关系，主要侧重于农业化学暴露评估应用。我们介绍了对应用遥感图像或从遥感图像派生的土地覆盖图的流行病学研究的全面文献综述的结果。我们还讨论了最常用的图像数据（航空照片和 Landsat 卫星图像）和土地覆盖图的优缺点。
