Estimating urban PM10 and PM2.5 concentrations, based on synergistic MERIS/AATSR aerosol observations, land cover and morphology data

Anton Beloconi, Yiannis Kamarianakis, Nektarios Chrysoulakis

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

This study evaluates alternative spatio-temporal approaches for quantitative estimation of daily mean Particulate Matter (PM) concentrations. Both fine (PM2.5) and coarse (PM10) concentrations were estimated over the area of London (UK) for the 2002-2012 time period, using Aerosol Optical Thickness (AOT) derived from MERIS (Medium Resolution Imaging Spectrometer)/AATSR (Advanced Along-Track Scanning Radiometer) synergistic observations at 1. km. ×. 1 km resolution. Relative humidity, temperature and the K-Index obtained from MODIS (Moderate Resolution Imaging Spectroradiometer) sensor were used as additional predictors. High-resolution (100. m. ×. 100. m) local urban land cover and morphology datasets were incorporated in the analysis in order to capture the effects of local scale emissions and sequestration. Spatial (2-D) and spatio-temporal (3-D) kriging were applied to in situ urban PM measurements to investigate their association with satellite-derived AOT while accounting for differences in spatial support. Linear mixed-effects models with day-specific and site-specific random intercepts and slopes were estimated to associate satellite-derived products with kriged PM concentration and their predictive performance was evaluated.

Original languageEnglish (US)
Pages (from-to)148-164
Number of pages17
JournalRemote Sensing of Environment
Volume172
DOIs
StatePublished - Jan 1 2016

Fingerprint

MERIS
aerosols
spectrometers
land cover
Aerosols
Spectrometers
particulate matter
particulates
image analysis
Satellites
aerosol
Imaging techniques
Radiometers
Along Track Scanning Radiometer
Atmospheric humidity
radiometers
moderate resolution imaging spectroradiometer
kriging
Scanning
MODIS

Keywords

  • Aerosol optical thickness
  • Block kriging
  • Change of support problem
  • MERIS/AATSR synergy
  • Mixed-effects models
  • Particulate matter

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Soil Science
  • Geology

Cite this

Estimating urban PM10 and PM2.5 concentrations, based on synergistic MERIS/AATSR aerosol observations, land cover and morphology data. / Beloconi, Anton; Kamarianakis, Yiannis; Chrysoulakis, Nektarios.

In: Remote Sensing of Environment, Vol. 172, 01.01.2016, p. 148-164.

Research output: Contribution to journalArticle

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