Understanding an urbanizing planet: Strategic directions for remote sensing

Z Zhu, Y Zhou, KC Seto, EC Stokes, C Deng… - Remote Sensing of …, 2019 - Elsevier
Scientific contributions from remote sensing over the last fifty years have significantly
advanced our understanding of urban areas. Key contributions of urban remote sensing …

Environmental hazards posed by mine dust, and monitoring method of mine dust pollution using remote sensing technologies: An overview

H Yu, I Zahidi - Science of the total environment, 2023 - Elsevier
The over-exploitation of mineral resources has led to increasingly serious dust pollution in
mines, resulting in a series of negative impacts on the environment, mine workers …

Global estimates and long-term trends of fine particulate matter concentrations (1998–2018)

MS Hammer, A van Donkelaar, C Li… - Environmental …, 2020 - ACS Publications
Exposure to outdoor fine particulate matter (PM2. 5) is a leading risk factor for mortality. We
develop global estimates of annual PM2. 5 concentrations and trends for 1998–2018 using …

MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison

J Wei, Z Li, Y Peng, L Sun - Atmospheric Environment, 2019 - Elsevier
Abstract Recently, the newest Moderate Resolution Imaging Spectroradiometer (MODIS)
Collection 6.1 (C6. 1) aerosol optical depth (AOD) products were available with various …

Effect of lockdown due to SARS COVID-19 on aerosol optical depth (AOD) over urban and mining regions in India

AK Ranjan, AK Patra, AK Gorai - Science of the Total Environment, 2020 - Elsevier
Abstract The Severe Acute Respiratory Syndrome-COronaVIrus Diseases 2019 (SARS-
COVID-19) pandemic has posed a serious threat to human health (death) and substantial …

Worldwide validation of CAMS and MERRA-2 reanalysis aerosol optical depth products using 15 years of AERONET observations

CA Gueymard, D Yang - Atmospheric Environment, 2020 - Elsevier
This contribution compares 3-hourly estimates of aerosol optical depth at 550 nm (AOD550)
and Ångström exponent (AE) from two similar reanalysis models, ECMWF's CAMS and …

Global synthesis of two decades of research on improving PM2. 5 estimation models from remote sensing and data science perspectives

K Bai, K Li, Y Sun, L Wu, Y Zhang, NB Chang, Z Li - Earth-Science Reviews, 2023 - Elsevier
Identifying the proxy data and techniques that could yield greater PM 2.5 estimation
accuracy remains challenging due to the lack of general knowledge on the relative …

Subways and urban air pollution

N Gendron-Carrier, M Gonzalez-Navarro… - American economic …, 2022 - aeaweb.org
We investigate the effect of subway system openings on urban air pollution. On average,
particulate concentrations are unchanged by subway openings. For cities with higher initial …

Estimating ground-level PM2. 5 concentrations in the southeastern US using geographically weighted regression

X Hu, LA Waller, MZ Al-Hamdan, WL Crosson… - Environmental …, 2013 - Elsevier
Most of currently reported models for predicting PM2. 5 concentrations from satellite
retrievals of aerosol optical depth are global methods without considering local variations …

A satellite-based geographically weighted regression model for regional PM2. 5 estimation over the Pearl River Delta region in China

W Song, H Jia, J Huang, Y Zhang - Remote Sensing of Environment, 2014 - Elsevier
To estimate the daily concentration of ground-level PM 2.5 coincident to satellite overpass at
regional scale, a satellite-based geographically weighted regression (GWR) model was …