Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China
出版年份 2017 全文链接
标题
Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China
作者
关键词
-
出版物
Remote Sensing
Volume 9, Issue 8, Pages 858
出版商
MDPI AG
发表日期
2017-08-21
DOI
10.3390/rs9080858
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Estimation of daily PM10 concentrations in Italy (2006–2012) using finely resolved satellite data, land use variables and meteorology
- (2017) Massimo Stafoggia et al. ENVIRONMENT INTERNATIONAL
- Impact of diurnal variability and meteorological factors on the PM 2.5 - AOD relationship: Implications for PM 2.5 remote sensing
- (2017) Jianping Guo et al. ENVIRONMENTAL POLLUTION
- Validation of VIIRS AOD through a Comparison with a Sun Photometer and MODIS AODs over Wuhan
- (2017) Wei Wang et al. Remote Sensing
- Development of a daytime cloud and haze detection algorithm for Himawari-8 satellite measurements over central and eastern China
- (2017) Huazhe Shang et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- Estimating ground-level PM 2.5 concentrations over three megalopolises in China using satellite-derived aerosol optical depth measurements
- (2016) Yixuan Zheng et al. ATMOSPHERIC ENVIRONMENT
- Satellite-derived high resolution PM2.5 concentrations in Yangtze River Delta Region of China using improved linear mixed effects model
- (2016) Zongwei Ma et al. ATMOSPHERIC ENVIRONMENT
- Can MODIS AOD be employed to derive PM2.5 in Beijing-Tianjin-Hebei over China?
- (2016) Xiaoyan Ma et al. ATMOSPHERIC RESEARCH
- Enhancing the Applicability of Satellite Remote Sensing for PM2.5 Estimation Using MODIS Deep Blue AOD and Land Use Regression in California, United States
- (2016) Hyung Joo Lee et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Sea surface temperature from the new Japanese geostationary meteorological Himawari-8 satellite
- (2016) Yukio Kurihara et al. GEOPHYSICAL RESEARCH LETTERS
- Aerosol data assimilation using data from Himawari-8, a next-generation geostationary meteorological satellite
- (2016) K. Yumimoto et al. GEOPHYSICAL RESEARCH LETTERS
- High-Resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression
- (2016) Bin Zou et al. IEEE Geoscience and Remote Sensing Letters
- An Introduction to Himawari-8/9— Japan’s New-Generation Geostationary Meteorological Satellites
- (2016) Kotaro BESSHO et al. JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN
- Remote sensing of ground-level PM2.5 combining AOD and backscattering profile
- (2016) Siwei Li et al. REMOTE SENSING OF ENVIRONMENT
- Ground Level PM2.5 Estimates over China Using Satellite-Based Geographically Weighted Regression (GWR) Models Are Improved by Including NO2 and Enhanced Vegetation Index (EVI)
- (2016) Tianhao Zhang et al. International Journal of Environmental Research and Public Health
- Satellite Based Mapping of Ground PM2.5 Concentration Using Generalized Additive Modeling
- (2016) Bin Zou et al. Remote Sensing
- Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia
- (2016) Janet Nichol et al. Remote Sensing
- Validation and expected error estimation of Suomi-NPP VIIRS aerosol optical thickness and Ångström exponent with AERONET
- (2016) Jingfeng Huang et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- Regional characteristics of the relationship between columnar AOD and surface PM 2.5 : Application of lidar aerosol extinction profiles over Baltimore–Washington Corridor during DISCOVER-AQ
- (2015) D. Allen Chu et al. ATMOSPHERIC ENVIRONMENT
- Daily Estimation of Ground-Level PM2.5 Concentrations over Beijing Using 3 km Resolution MODIS AOD
- (2015) Yuanyu Xie et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Remote sensing of atmospheric fine particulate matter (PM2.5) mass concentration near the ground from satellite observation
- (2015) Ying Zhang et al. REMOTE SENSING OF ENVIRONMENT
- Long-Term Measurement for Low-Tropospheric Water Vapor and Aerosol by Raman Lidar in Wuhan
- (2015) Wei Wang et al. Atmosphere
- Fine particulate matter (PM2.5) in China at a city level
- (2015) Yan-Lin Zhang et al. Scientific Reports
- A satellite-based geographically weighted regression model for regional PM2.5 estimation over the Pearl River Delta region in China
- (2014) Weize Song et al. REMOTE SENSING OF ENVIRONMENT
- Preliminary evaluation of S-NPP VIIRS aerosol optical thickness
- (2014) Hongqing Liu et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- The empirical relationship between the PM2.5 concentration and aerosol optical depth over the background of North China from 2009 to 2011
- (2013) Jinyuan Xin et al. ATMOSPHERIC RESEARCH
- A study on the potential applications of satellite data in air quality monitoring and forecasting
- (2011) Can Li et al. ATMOSPHERIC ENVIRONMENT
- Annual cycle in co-located in situ, total-column, and height-resolved aerosol observations in the Po Valley (Italy): Implications for ground-level particulate matter mass concentration estimation from remote sensing
- (2010) F. Barnaba et al. JOURNAL OF GEOPHYSICAL RESEARCH
- PM10 remote sensing from geostationary SEVIRI and polar-orbiting MODIS sensors over the complex terrain of the European Alpine region
- (2010) E. Emili et al. REMOTE SENSING OF ENVIRONMENT
- Particulate matter air quality assessment using integrated surface, satellite, and meteorological products: Multiple regression approach
- (2009) Pawan Gupta et al. JOURNAL OF GEOPHYSICAL RESEARCH
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started