relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1609/
title: Particulate matter concentration mapping from MODIS satellite data: a Vietnamese case study
creator: Nguyen, Thi Nhat Thanh
creator: Bui, Quang Hung
creator: Pham, Van Hung
creator: Luu, Viet Hung
creator: Chu, Duc Man
subject: Information Technology (IT)
subject: ISI-indexed journals
description: Particulate Matter (PM) pollution is one of the most important air quality concerns in Vietnam. In this study, we integrate ground-based measurements, meteorological and satellite data to map temporal PM concentrations at a 10 × 10 km grid for the entire of Vietnam. We specifically used MODIS Aqua and Terra data and developed statistically-significant regression models to map and extend the ground-based PM concentrations. We validated our models over diverse geographic provinces i.e., North East, Red River Delta, North Central Coast and South Central Coast in Vietnam. Validation suggested good results for satellite-derived PM2.5 data compared to ground-based PM2.5 (n = 285, r2 = 0.411, RMSE = 20.299 μg m−3 and RE = 39.789%). Further, validation of satellite-derived PM2.5 on two independent datasets for North East and South Central Coast suggested similar results (n = 40, r2 = 0.455, RMSE = 21.512 μg m−3, RE = 45.236% and n = 45, r2 = 0.444, RMSE = 8.551 μg m−3, RE = 46.446% respectively). Also, our satellite-derived PM2.5 maps were able to replicate seasonal and spatial trends of ground-based measurements in four different regions. Our results highlight the potential use of MODIS datasets for PM estimation at a regional scale in Vietnam. However, model limitation in capturing maximal or minimal PM2.5 peaks needs further investigations on ground data, atmospheric conditions and physical aspects.
date: 2015
type: Article
type: PeerReviewed
identifier:   Nguyen, Thi Nhat Thanh and Bui, Quang Hung and Pham, Van Hung and Luu, Viet Hung and Chu, Duc Man  (2015) Particulate matter concentration mapping from MODIS satellite data: a Vietnamese case study.  Environmental Research Letters, 9-10 .    ISSN ‎1748-9326