2015
DOI: 10.1016/j.apgeog.2015.04.009
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
12
0
7

Year Published

2016
2016
2024
2024

Publication Types

Select...
8
2

Relationship

1
9

Authors

Journals

citations
Cited by 27 publications
(20 citation statements)
references
References 44 publications
(66 reference statements)
0
12
0
7
Order By: Relevance
“…Lo anterior para asignar prioridades en el análisis de químicos de fuentes difusas o indirectas, asociados con la presencia de plaguicidas en biomonitoreos ambientales o humanos específicos. A estos análisis se le adicionan los modos de entrada al ambiente y/o al organismo humano (Mitchell et al 2013, VoPham et al 2015.…”
Section: Discussionunclassified
“…Lo anterior para asignar prioridades en el análisis de químicos de fuentes difusas o indirectas, asociados con la presencia de plaguicidas en biomonitoreos ambientales o humanos específicos. A estos análisis se le adicionan los modos de entrada al ambiente y/o al organismo humano (Mitchell et al 2013, VoPham et al 2015.…”
Section: Discussionunclassified
“…The USGS state boundaries layer [51] was overlaid with the grid polygon layer to determine specific grids intersecting the U.S. Grids from the preprocessed UV Ery rasters from July 1980, 1990, 2000, and 2010 within the U.S. boundary were input into the segmentation procedure. Segmentation, which uses a watershed delineation method of merging/growing pixels across input bands exhibiting minimal variance [52], was performed on the U.S. grids in IDRISI Selva using the following parameters: window of 3, tolerance of 1 to 10 using intervals of 1, weight mean factor of 0.5, and weight variance factor of 0.5. Based on a visual comparison of resultant segments (polygons) from each year with a priori knowledge of latitude-driven trends in UV Ery , nine regions were created for modeling (Fig.…”
Section: Methodsmentioning
confidence: 99%
“…50 Approaches that incorporate geographical information at a regional scale are now common practice (e.g. [99][100][101][102][103] ). Soil and groundwater models are considered to be less appropriate for generic risk assessments for determining monitoring programmes, as they can be too site specific.…”
Section: Pathway To Groundwatermentioning
confidence: 99%