A Satellite-Based Land Use Regression Model of Ambient NO<sub>2</sub> with High Spatial Resolution in a Chinese City

A Satellite-Based Land Use Regression Model of Ambient NO<sub>2</sub> with High Spatial Resolution in a Chinese City

Previous studies have reported that intra-urban variability of NO<sub>2</sub> concentrations is even higher than inter-urban variability. In recent years, an increasing number of studies have developed satellite-derived land use regression (LUR) models to predict ground-level NO<sub&g...

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Bibliographic Details
Main Authors: Lina Zhang, Changyuan Yang, Qingyang Xiao, Guannan Geng, Jing Cai, Renjie Chen, Xia Meng, Haidong Kan
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
satellite-based
NO<sub>2</sub>
land use regression
exposure assessment
Online Access:https://www.mdpi.com/2072-4292/13/3/397

Internet

https://www.mdpi.com/2072-4292/13/3/397

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