M. Bechle

发表

National Spatiotemporal Exposure Surface for NO2: Monthly Scaling of a Satellite-Derived Land-Use Regression, 2000-2010.

J. Marshall, D. Millet, M. Bechle, 2015, Environmental science & technology.

Satellite-Based NO2 and Model Validation in a National Prediction Model Based on Universal Kriging and Land-Use Regression.

Lianne Sheppard, Julian D Marshall, Michael T Young, 2016, Environmental science & technology.

Remote sensing of exposure to NO2: Satellite versus ground-based measurement in a large urban area

Julian D. Marshall, Matthew J. Bechle, J. Marshall, 2013 .

Effects of income and urban form on urban NO2: global evidence from satellites.

J. Marshall, D. Millet, M. Bechle, 2011, Environmental science & technology.

A national satellite-based land-use regression model for air pollution exposure assessment in Australia.

Julian D Marshall, Adrian G Barnett, L. Knibbs, 2014, Environmental research.

Land Use Regression models for 60 volatile organic compounds: Comparing Google Point of Interest (POI) and city permit data.

T. Lu, S. Hankey, J. Lansing, 2019, The Science of the total environment.

Does Urban Form Affect Urban NO2? Satellite-Based Evidence for More than 1200 Cities.

J. Marshall, D. Millet, M. Bechle, 2017, Environmental science & technology.

Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States

C. Pope, A. Robinson, P. Adams, 2020, Atmospheric Environment.

Independent Validation of National Satellite-Based Land-Use Regression Models for Nitrogen Dioxide Using Passive Samplers.

L. Morawska, L. Knibbs, J. Marshall, 2016, Environmental Science and Technology.

National PM2.5 and NO2 exposure models for China based on land use regression, satellite measurements, and universal kriging.

Yuqi Bai, S. Vedal, A. Szpiro, 2018, The Science of the total environment.

Satellite-Based Land-Use Regression for Continental-Scale Long-Term Ambient PM2.5 Exposure Assessment in Australia.

M. Brauer, L. Knibbs, R. Martin, 2018, Environmental science & technology.

Concentrations of criteria pollutants in the contiguous U.S., 1979 – 2015: Role of prediction model parsimony in integrated empirical geographic regression

A. Szpiro, J. Marshall, L. Sheppard, 2020, PloS one.

Remote sensing of exposure to NO2: satellite versus ground based measurement in a large urban area

J. Marshall, D. Millet, M. Bechle, 2013 .

Estimating long-term pollution exposure effects through inverse probability weighting methods with Cox proportional hazards models

Joshua D. Higbee, R. Burnett, C. Pope, 2020, Environmental epidemiology.

Particulate matter air pollution and national and county life expectancy loss in the USA: A spatiotemporal analysis

R. Burnett, C. Pope, M. Ezzati, 2019, PLoS medicine.

Air pollution and mortality in a large, representative U.S. cohort: multiple-pollutant analyses, and spatial and temporal decompositions

Joshua D. Higbee, R. Burnett, A. Robinson, 2019, Environmental Health.

Mortality Risk and Fine Particulate Air Pollution in a Large, Representative Cohort of U.S. Adults

Joshua D. Higbee, R. Burnett, C. Pope, 2019, Environmental health perspectives.

Cancer mortality risk, fine particulate air pollution, and smoking in a large, representative cohort of US adults

Joshua D. Higbee, R. Burnett, C. Pope, 2020, Cancer Causes & Control.

Development of West-European PM2.5 and NO2 land use regression models incorporating satellite-derived and chemical transport modelling data.

Bert Brunekreef, Audrey de Nazelle, Laurence Rouil, 2016, Environmental research.

Disparities in Air Pollution Exposure in the United States by Race/Ethnicity and Income, 1990–2010

Lara P. Clark, A. Robinson, A. Szpiro, 2021, Environmental health perspectives.

National satellite-based land-use regression: NO2 in the United States.

Julian D Marshall, J. Marshall, D. Millet, 2011, Environmental science & technology.

School Location and Environmental Justice: Outdoor NO2 Air Pollution in the United States

J. Marshall, D. Millet, M. Bechle, 2016 .

National Empirical Models of Air Pollution Using Microscale Measures of the Urban Environment.

J. Marshall, Sun-young Kim, M. Demuzere, 2021, Environmental science & technology.

Long‐term nitrogen dioxide exposure assessment using back‐extrapolation of satellite‐based land‐use regression models for Australia

L. Knibbs, J. Marshall, A. Barnett, 2018, Environmental research.

Air Pollution and the Burden of Childhood Asthma in the Contiguous United States in 2000 and 2010

T. Ramani, M. Nieuwenhuijsen, J. Marshall, 2018, ISEE Conference Abstracts.

Concentrations of criteria pollutants in the contiguous U.S., 1979 – 2015: Role of model parsimony in integrated empirical geographic regression

J. Marshall, L. Sheppard, Sun-young Kim, 2018 .

Using crowd-sourced low-cost sensors in a land use regression of PM2.5 in 6 US cities

A. Presto, S. Hankey, M. Bechle, 2022, Air Quality, Atmosphere & Health.

National Satellite-based Land Use Regression: NO2 in the United States

Julian D. Marshall, Matthew J. Bechle, J. Marshall, 2011 .

Western European land use regression incorporating satellite- and ground-based measurements of NO2 and PM10.

Kees de Hoogh, Rob Beelen, Gerard Hoek, 2013, Environmental science & technology.

Does Urban Form Affect Urban NO2? Satellite-Based Evidence for More than 1200 Cities.

J. Marshall, D. Millet, M. Bechle, 2017, Environmental science & technology.

Intercomparison of Six National Empirical Models for PM2.5 Air Pollution in the Contiguous US

A. Presto, S. Hankey, D. Goldberg, 2023, Findings.