Linking pesticides and human health: a geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure.
Trang VoPham,John Wilson,Darren Ruddell,Tarek Rashed,Maria M. Brooks,Jian-Min Yuan,Evelyn O. Talbott,Chung-Chou H. Chang,Joel L. Weissfeld +8 more
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Study results demonstrate that the Landsat method can improve GIS-based pesticide exposure estimation by matching more pesticide applications to crops classified using temporally concurrent Landsat images compared to the standard method that relies on infrequently updated land use survey (LUS) crop data.About:
This article is published in Applied Geography.The article was published on 2015-08-01 and is currently open access. It has received 26 citations till now. The article focuses on the topics: Normalized Difference Vegetation Index.read more
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ANNALS of the Association of American Geographers
TL;DR: In rural and small-town Nevada, Brothels are legal or openly tolerated and strictly controlled by state statute, city and county ordinances, and local rules as discussed by the authors, and the legal and quasi-legal restrictions placed on prostitutes severely limit their activities outside brothels.
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Neural tube defects and maternal residential proximity to agricultural pesticide applications
TL;DR: Elevated risks of NTDs and anencephaly or spina bifida subtypes were also associated with exposures to chemicals classified as amide, benzimidazole, methyl carbamate, or organophosphorus pesticides and with increasing numbers of pesticides.
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Prioritization Approaches for Substances of Emerging Concern in Groundwater: A Critical Review
TL;DR: A proposal for a prioritization framework for ECs in groundwater monitoring that enables priority lists to be updated as new information becomes available for substances with regard to their usage, physicochemical properties, and hazards is proposed.
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Spatiotemporal exposure modeling of ambient erythemal ultraviolet radiation.
Trang VoPham,Trang VoPham,Jaime E. Hart,Jaime E. Hart,Kimberly A. Bertrand,Zhibin Sun,Rulla M. Tamimi,Rulla M. Tamimi,Francine Laden,Francine Laden +9 more
TL;DR: ATP residual kriging incorporating fine-scale spatial predictors can provide more accurate, high-resolution UVEry estimates compared to using NASA grids and can be used in epidemiologic studies examining the health effects of ambient UV.
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Geographic information technology usage in developing countries – A case study in Mozambique
TL;DR: The results show that the main drivers behind GIT in organizations are compatibility, complexity, competitive pressure, donor pressure, government policy, intention to adopt, innovation, relative advantage, security, and technology competence.
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The measurement of observer agreement for categorical data
J. R. Landis,Gary G. Koch +1 more
TL;DR: A general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies is presented and tests for interobserver bias are presented in terms of first-order marginal homogeneity and measures of interob server agreement are developed as generalized kappa-type statistics.
Book
Remote Sensing Digital Image Analysis: An Introduction
TL;DR: In this paper, the authors present an introduction to quantitative evaluation of satellite and aircraft derived from remotely retrieved data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations.
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Introduction to remote sensing
TL;DR: The history and scope of remote sensing is described in detail in this paper, where the authors present a detailed overview of the field of Remote Sensing and its application in agriculture, land use and land cover.
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A survey of image classification methods and techniques for improving classification performance
Dengsheng Lu,Qihao Weng +1 more
TL;DR: It is suggested that designing a suitable image‐processing procedure is a prerequisite for a successful classification of remotely sensed data into a thematic map and the selection of a suitable classification method is especially significant for improving classification accuracy.
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Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors
TL;DR: In this paper, a summary of the current equations and rescaling factors for converting calibrated Digital Numbers (DNs) to absolute units of at-sensor spectral radiance, Top-Of- Atmosphere (TOA) reflectance, and atsensor brightness temperature is provided.