Linking pesticides and human health: a geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure.

Linking pesticides and human health: a geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure.
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将农药与人类健康联系起来:利用地理信息系统 (GIS) 和陆地卫星遥感方法来估计农业农药暴露量。

DOI:
10.1016/j.apgeog.2015.04.009
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发表时间:
2015
期刊:
Applied geography (Sevenoaks, England)
影响因子:
--
通讯作者:
Weissfeld,JoelL
Weissfeld,JoelL
中科院分区:
--
文献类型:
--
作者:
VoPham,Trang;Wilson,JohnP;Ruddell,Darren;Rashed,Tarek;Brooks,MariaM;Yuan,Jian-Min;Talbott,EvelynO;Chang,Chung-ChouH;Weissfeld,JoelL

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准确的农药暴露估计是阐明农药对人类健康作用的流行病学研究的组成部分。人类可以通过住宅接近农业农药应用(漂移)接触农药。我们提出了一种改进的地理信息系统(GIS)和遥感方法,陆地卫星的方法,估计农业农药暴露通过匹配农药的应用,从时间上并发的陆地卫星遥感图像在加州分类的作物。图像分类方法利用归一化差异植被指数(NDVI)的值在一个组合的最大似然分类和每个字段(使用段)的方法。农药暴露是根据农药处理过的农田与地理编码位置周围500米缓冲区相交来估计的(例如,在GIS中,研究结果表明,Landsat方法可以提高基于GIS的农药暴露估计匹配更多的农药应用程序的作物(特别是临时作物)分类使用时间上并发的Landsat图像相比,标准的方法,依赖于不经常更新的土地利用调查(LUS)作物数据。Landsat方法可用于流行病学研究,根据个人所在地重建过去个人接触特定农药的情况。
Accurate pesticide exposure estimation is integral to epidemiologic studies elucidating the role of pesticides in human health. Humans can be exposed to pesticides via residential proximity to agricultural pesticide applications (drift). We present an improved geographic information system (GIS) and remote sensing method, the Landsat method, to estimate agricultural pesticide exposure through matching pesticide applications to crops classified from temporally concurrent Landsat satellite remote sensing images in California. The image classification method utilizes Normalized Difference Vegetation Index (NDVI) values in a combined maximum likelihood classification and per-field (using segments) approach. Pesticide exposure is estimated according to pesticide-treated crop fields intersecting 500 m buffers around geocoded locations (e.g., residences) in a GIS. Study results demonstrate that the Landsat method can improve GIS-based pesticide exposure estimation by matching more pesticide applications to crops (especially temporary crops) classified using temporally concurrent Landsat images compared to the standard method that relies on infrequently updated land use survey (LUS) crop data. The Landsat method can be used in epidemiologic studies to reconstruct past individual-level exposure to specific pesticides according to where individuals are located.
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