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:
影响因子:
--
通讯作者:
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
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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影响因子:
4.9
作者:
Wan, Neng
通讯作者:
Wan, Neng
DOI:
10.3390/rs3091805
发表时间:
2011
期刊:
Remote. Sens.
影响因子:
--
作者:
S. Maxwell
通讯作者:
S. Maxwell
DOI:
10.1080/00045608.2012.674900
发表时间:
2012
期刊:
Annals of the Association of American Geographers
影响因子:
--
作者:
N. Lam
通讯作者:
N. Lam
DOI:
10.1111/risa.12936
发表时间:
2018
期刊:
Risk analysis : an official publication of the Society for Risk Analysis
影响因子:
--
作者:
Pouzou,JaneG;Cullen,AlisonC;Yost,MichaelG;Kissel,JohnC;Fenske,RichardA
通讯作者:
Fenske,RichardA
影响因子:
4.5
作者:
S. Maxwell;J. Meliker;P. Goovaerts
通讯作者:
P. Goovaerts