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

Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

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

Lin, Changqing

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

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

Lin, Changqing

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

Lin, Changqing

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Document information

Title:

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

Contributors:

Lin, Changqing (author) / Li, Ying / Yuan, Zibing / Lau, Alexis K.H / Li, Chengcai / Fung, Jimmy C.H

Published in:

Remote sensing of environment ; 156

Publication date:

2015

ISSN:

DOI:

https://doi.org/10.1016/j.rse.2014.09.015

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

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

Li, Siwei | 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

Satellite-based ground PM2.5 estimation using timely structure adaptive modeling

Fang, Xin | Online Contents | 2016

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

Wu, Jiansheng | Online Contents | 2016