Assessment of Remote Sensing Data to Model PM10 Estimation in Cities with a Low Number of Air Quality Stations: A Case of Study in Quito, Ecuador

The monitoring of air pollutant concentration within cities is crucial for environment management and public health policies in order to promote sustainable cities. In this study, we present an approach to estimate the concentration of particulate matter of less than 10 µm diameter (PM10) using an e...

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Veröffentlicht in:	Environments (Basel, Switzerland) Switzerland), 2019-07, Vol.6 (7), p.85
Hauptverfasser:	Alvarez-Mendoza, Cesar I., Teodoro, Ana Claudia, Torres, Nelly, Vivanco, Valeria
Format:	Artikel
Sprache:	eng
Schlagworte:	Aerosols Air monitoring Air pollution Air quality Airborne particulates Cities Data acquisition Dependent variables Diameters Environmental impact Environmental management Environmental policy Ground stations Health policy Land surface temperature Land use Landsat Landsat satellites MODIS Normalized difference vegetative index Particulate emissions Particulate matter Pollutants Pollution monitoring Public health Regression models Remote sensing Root-mean-square errors Sensors Soils Temperature dependence Variables Vegetation Vegetation index
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