Alexandra Chudnovsky
Alexandra Chudnovsky
Associate Professor, AIR-O Lab, Head, Tel-Aviv University
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Exploring pathways linking greenspace to health: Theoretical and methodological guidance
I Markevych, J Schoierer, T Hartig, A Chudnovsky, P Hystad, ...
Environmental research 158, 301-317, 2017
A new hybrid spatio-temporal model for estimating daily multi-year PM2. 5 concentrations across northeastern USA using high resolution aerosol optical depth data
I Kloog, AA Chudnovsky, AC Just, F Nordio, P Koutrakis, BA Coull, ...
Atmospheric Environment 95, 581-590, 2014
Diurnal thermal behavior of selected urban objects using remote sensing measurements
A Chudnovsky, E Ben-Dor, H Saaroni
Energy and buildings 36 (11), 1063-1074, 2004
A novel method of classifying soil profiles in the field using optical means
E Ben-Dor, D Heller, A Chudnovsky
Soil Science Society of America Journal 72 (4), 1113-1123, 2008
Fine particulate matter predictions using high resolution Aerosol Optical Depth (AOD) retrievals
AA Chudnovsky, P Koutrakis, I Kloog, S Melly, F Nordio, A Lyapustin, ...
Atmospheric Environment 89, 189-198, 2014
Temporal and spatial assessments of minimum air temperature using satellite surface temperature measurements in Massachusetts, USA
I Kloog, A Chudnovsky, P Koutrakis, J Schwartz
Science of the total environment 432, 85-92, 2012
Spatial scales of pollution from variable resolution satellite imaging
AA Chudnovsky, A Kostinski, A Lyapustin, P Koutrakis
Environmental Pollution 172, 131-138, 2013
Spatiotemporal prediction of fine particulate matter using high-resolution satellite images in the Southeastern US 2003–2011
M Lee, I Kloog, A Chudnovsky, A Lyapustin, Y Wang, S Melly, B Coull, ...
Journal of exposure science & environmental epidemiology 26 (4), 377-384, 2016
A critical assessment of high-resolution aerosol optical depth retrievals for fine particulate matter predictions
A Chudnovsky, C Tang, A Lyapustin, Y Wang, J Schwartz, P Koutrakis
Atmospheric Chemistry and Physics 13 (21), 10907-10917, 2013
Consequences of kriging and land use regression for PM2. 5 predictions in epidemiologic analyses: insights into spatial variability using high-resolution satellite data
SE Alexeeff, J Schwartz, I Kloog, A Chudnovsky, P Koutrakis, BA Coull
Journal of exposure science & environmental epidemiology 25 (2), 138-144, 2015
Extreme levels of Canadian wildfire smoke in the stratosphere over central Europe on 21–22 August 2017
UW Albert Ansmann, Holger Baars, Alexandra Chudnovsky, Ina Mattis, Igor ...
Atmos. Chem. Phys., 18, 11831–11845, 2018
Fine particulate matter and cardiovascular disease: comparison of assessment methods for long-term exposure
LA McGuinn, C Ward-Caviness, LM Neas, A Schneider, Q Di, ...
Environmental research 159, 16-23, 2017
Association between satellite-based estimates of long-term PM2. 5 exposure and coronary artery disease
LA McGuinn, CK Ward-Caviness, LM Neas, A Schneider, D Diaz-Sanchez, ...
Environmental research 145, 9-17, 2016
Monitoring of agricultural soil degradation by remote-sensing methods: A review
M Shoshany, N Goldshleger, A Chudnovsky
International Journal of Remote Sensing 34 (17), 6152-6181, 2013
Estimating spatio-temporal resolved PM10 aerosol mass concentrations using MODIS satellite data and land use regression over Lombardy, Italy
F Nordio, I Kloog, BA Coull, A Chudnovsky, P Grillo, PA Bertazzi, ...
Atmospheric environment 74, 227-236, 2013
Prediction of daily fine particulate matter concentrations using aerosol optical depth retrievals from the Geostationary Operational Environmental Satellite (GOES)
AA Chudnovsky, HJ Lee, A Kostinski, T Kotlov, P Koutrakis
Journal of the Air & Waste Management Association 62 (9), 1022-1031, 2012
Application of visible, near-infrared, and short-wave infrared (400–2500 nm) reflectance spectroscopy in quantitatively assessing settled dust in the indoor environment. Case …
A Chudnovsky, E Ben-Dor
Science of the total environment 393 (2-3), 198-213, 2008
Thermochemical hydrolysis of macroalgae Ulva for biorefinery: Taguchi robust design method
R Jiang, Y Linzon, E Vitkin, Z Yakhini, A Chudnovsky, A Golberg
Scientific reports 6 (1), 1-14, 2016
Predicting salinity in tomato using soil reflectance spectra
N Goldshleger, A Chudnovsky, R Ben-Binyamin
International journal of remote sensing 34 (17), 6079-6093, 2013
Mineral content analysis of atmospheric dust using hyperspectral information from space
A Chudnovsky, E Ben‐Dor, AB Kostinski, I Koren
Geophysical research letters 36 (15), 2009
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