Spatiotemporal mixed effects modeling for the estimation of PM2.5 from MODIS AOD over the Indian subcontinent
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Spatiotemporal mixed effects modeling for the estimation of PM2.5 from MODIS AOD over the Indian subcontinent
Authors
Keywords
-
Journal
GIScience & Remote Sensing
Volume 57, Issue 2, Pages 159-173
Publisher
Informa UK Limited
Online
2020-01-20
DOI
10.1080/15481603.2020.1712101
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An improved merge scheme for MODIS Collection 6.1 Dark Target and Deep Blue combined aerosol products
- (2019) Jing Wei et al. ATMOSPHERIC ENVIRONMENT
- Interaction Between Planetary Boundary Layer and PM2.5 Pollution in Megacities in China: a Review
- (2019) Yucong Miao et al. Current Pollution Reports
- Analysis of spatial and temporal variability of aerosol optical depth over China using MODIS combined Dark Target and Deep Blue product
- (2018) Mikalai Filonchyk et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Cause-specific premature death from ambient PM2.5 exposure in India: Estimate adjusted for baseline mortality
- (2016) Sourangsu Chowdhury et al. ENVIRONMENT INTERNATIONAL
- Mobile networks aid weather monitoring
- (2016) Pinhas Alpert et al. NATURE
- High-resolution satellite-based analysis of ground-level PM 2.5 for the city of Montreal
- (2016) Baozhen Wang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Spatial Correlation of Satellite-Derived PM2.5 with Hospital Admissions for Respiratory Diseases
- (2016) Ching-Ju Liu et al. Remote Sensing
- A Review on Predicting Ground PM2.5 Concentration Using Satellite Aerosol Optical Depth
- (2016) Yuanyuan Chu et al. Atmosphere
- Daily Estimation of Ground-Level PM2.5 Concentrations over Beijing Using 3 km Resolution MODIS AOD
- (2015) Yuanyu Xie et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Estimating PM2.5 in Xi'an, China using aerosol optical depth: A comparison between the MODIS and MISR retrieval models
- (2015) Wei You et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Impacts of elevated-aerosol-layer and aerosol type on the correlation of AOD and particulate matter with ground-based and satellite measurements in Nanjing, southeast China
- (2015) Yong Han et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Quantification of aerosol type, and sources of aerosols over the Indo-Gangetic Plain
- (2014) Sumita Kedia et al. ATMOSPHERIC ENVIRONMENT
- Estimating Ground-Level PM2.5 in China Using Satellite Remote Sensing
- (2014) Zongwei Ma et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Optimal estimation for global ground-level fine particulate matter concentrations
- (2013) Aaron van Donkelaar et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- Spatial scales of pollution from variable resolution satellite imaging
- (2012) Alexandra A. Chudnovsky et al. ENVIRONMENTAL POLLUTION
- Incorporating Local Land Use Regression And Satellite Aerosol Optical Depth In A Hybrid Model Of Spatiotemporal PM2.5 Exposures In The Mid-Atlantic States
- (2012) Itai Kloog et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Variability of outdoor fine particulate (PM2.5) concentration in the Indian Subcontinent: A remote sensing approach
- (2012) Sagnik Dey et al. REMOTE SENSING OF ENVIRONMENT
- Assessing temporally and spatially resolved PM2.5 exposures for epidemiological studies using satellite aerosol optical depth measurements
- (2011) Itai Kloog et al. ATMOSPHERIC ENVIRONMENT
- A 3D aerosol and visibility information system for urban areas using remote sensing and GIS
- (2010) Janet E. Nichol et al. ATMOSPHERIC ENVIRONMENT
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