Funder
Faculty of Liberal Arts, Thammasat University
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development
Reference52 articles.
1. Abdullah, S., Ismail, M., Ahmed, A. N., & Abdullah, A. M. (2019). Forecasting particulate matter concentration using linear and non-linear approaches for air quality decision support. Atmosphere, 10(11), 667. https://doi.org/10.3390/atmos10110667.
2. Air Quality and Noise Management Bureau, Pollution Control Department, Ministry of Natural Resources and Environment of Thailand. (2013). Thailand’s air quality information. http://air4thai.pcd.go.th/webV2/aqi_info.php. Accessed November 20, 2017
3. Benas, N., Beloconi, A., & Chrysoulakis, N. (2013). Estimation of urban PM10 concentration, based on MODIS and MERIS/AATSR synergistic observations. Atmospheric Environment, 79, 448–454. https://doi.org/10.1016/j.atmosenv.2013.07.012.
4. Bhaskaran, S., Phillip, N., Rahman, A., & Mallick, J. (2011). Applications of satellite data for Aerosol Optical Depth (AOD) retrievals and validation with AERONET data. Atmospheric and Climate Sciences, 1, 61–67. https://doi.org/10.4236/acs.2011.12007.
5. Chu, Y., Liu, Y., Li, X., Liu, Z., Lu, H., Lu, Y., et al. (2016). A review on predicting ground PM2.5 concentration using satellite aerosol optical depth. Atmosphere, 7(10), 129. https://doi.org/10.3390/atmos7100129.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献