Remote sensing of ground-level PM2.5 combining AOD and backscattering profile: Fid-Bau Portal

Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

Remote sensing of ground-level PM2.5 combining AOD and backscattering profile

Li, Siwei

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Remote sensing of ground-level PM2.5 combining AOD and backscattering profile

Li, Siwei

Remote sensing of ground-level PM2.5 combining AOD and backscattering profile

Li, Siwei

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Document information

Title:

Remote sensing of ground-level PM2.5 combining AOD and backscattering profile

Contributors:

Li, Siwei (author) / Joseph, Everette / Min, Qilong

Published in:

Remote sensing of environment ; 183

Publication date:

2016

ISSN:

DOI:

https://doi.org/10.1016/j.rse.2016.05.025

Type of media:

Article (Journal)

Type of material:

Print

Language:

English

Keywords:

Erde , Umweltveränderung , Fernerkundung , Umweltforschung , Umweltüberwachung , Umweltschaden

Classification:

BKL: 43.03 Methoden der Umweltforschung und des Umweltschutzes / 38.03 Methoden und Techniken der Geowissenschaften / 74.41 Luftaufnahmen, Photogrammetrie

Similar titles

Using satellite remote sensing data to estimate the high-resolution distribution of ground-level PM2.5

Lin, Changqing | Online Contents | 2015

VIIRS-based remote sensing estimation of ground-level PM2.5 concentrations in Beijing–Tianjin–Hebei: A spatiotemporal statistical model

Wu, Jiansheng | Online Contents | 2016

Remote sensing of atmospheric particulate mass of dry PM2.5 near the ground: Method validation using ground-based measurements

Deng, Qian | Online Contents | 2016

Remote sensing of atmospheric fine particulate matter (PM2.5) mass concentration near the ground from satellite observation

Zhang, Ying | Online Contents | 2015

A semi-empirical model for predicting hourly ground-level fine particulate matter (PM2.5) concentration in southern Ontario from satellite remote sensing and ground-based meteorological measurements

Suárez, L. | Online Contents | 2010