Mapping dustfall distribution in urban areas using remote sensing and ground spectral data.
Xing Yan1, Wenzhong Shi2, Wenji Zhao3
1Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong; College of Resource Environment and Tourism, Capital Normal University, Beijing, China.
The Science of the Total Environment
|December 1, 2014
Summary
Remote sensing and spectral data accurately assessed urban dustfall distribution. This method identified construction sites and low-rise buildings as key pollution sources, aiding environmental monitoring.
Area of Science:
- Environmental Science
- Remote Sensing
- Spectroscopy
Background:
- Dustfall significantly impacts urban environments and spectral features.
- Dusty leaves exhibit lower near-infrared reflectance than clean leaves.
- Accurate dustfall assessment is crucial for urban environmental management.
Purpose of the Study:
- To assess urban dustfall distribution using remote sensing and ground-based spectral data.
- To correlate spectral reflectance with dustfall weight for estimation.
- To identify primary sources of urban dust pollution.
Main Methods:
- Utilized ground-based spectral data to analyze dust impact on spectral features (350-2,500 nm).
- Employed correlation analysis between dustfall weight and spectral reflectance.
- Developed a back propagation (BP) neural network model integrating spectral data and remote sensing for dustfall weight assessment in Beijing.
Main Results:
- Spectroscopy effectively provided dust information and aided dust weight estimation.
- The BP neural network model achieved satisfactory accuracy (RMSE of 3.6g/m²) in estimating dustfall weight.
- Dustfall accumulation was higher in southern Beijing, with construction sites and inappropriate land use identified as major sources.
Conclusions:
- Remote sensing and spectral analysis offer a low-cost, effective method for detailed urban dustfall investigation.
- This approach can assist environmental authorities in mapping dustfall distribution and pinpointing pollution sources.
- Understanding dustfall patterns and sources is vital for urban air quality management.
