Individual and Interactive Influences of Anthropogenic and Ecological Factors on Forest PM2.5 Concentrations at an Urban Scale

• Published in: Remote sensing (Basel, Switzerland) Vol. 10; no. 4; p. 521
• Main Authors: Yun, Guoliang, Zuo, Shudi, Dai, Shaoqing, Song, Xiaodong, Xu, Chengdong, Liao, Yilan, Zhao, Peiqiang, Chang, Weiyin, Chen, Qi, Li, Yaying, Tang, Jianfeng, Man, Wang, Ren, Yin
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2018
• Subjects: aerosol retrieval; Anthropogenic factors; Atmospheric models; Carbon sinks; Data base management systems; Data processing; Density distribution; Dominant species; Ecological effects; Ecological monitoring; Elevation; Forest biomass; Forest management; Forests; Geographic information systems; geographical detector model; Human influences; Landsat; Landsat satellites; Management planning; Mathematical models; multiple ecological factors; multisource data fusion; Particulate emissions; Particulate matter; Particulates; Plant species; Population (statistical); Population density; Remote sensing; Satellite imagery; Spatial analysis; Spatial data; Statistical analysis; Statistical methods; Statistical models; Suburbs; Urban areas; Urban environments; Urban forests; urban scale; vegetation dust-retention

Integration of Landsat images and multisource data using spatial statistical analysis and geographical detector models can reveal the individual and interactive influences of anthropogenic activities and ecological factors on concentrations of atmospheric particulate matter less than 2.5 microns in...