IEEE Geoscience and Remote Sensing Magazine - September 2019 - 20
Comparing Ground
Operation-Measured
and Remotely Sensed
Fine-Particulate
Matter Data
A case to validate the Dalhousie product in China
LIJIAN HAN, WEIQI ZHOU, XIULING ZHAO, WEIFENG LI, AND YUGUO QIAN
R
emote sensing has been widely and increasingly used
to quantify fine-particulate matter (PM 2.5) concentrations globally; however, its uncertainty has not been
well tested in countries, such as China and India, where
serious PM 2.5 pollution occurs, which may lead to misuse of the data. Utilizing the most widely used PM 2.5
concentration remote sensing product, provided by Dalhousie University, Halifax, Canada, we investigated the
use and misuse of remotely sensed PM 2.5 concentration
data sets in China. We compared remotely sensed PM 2.5
concentrations with those from a monitoring network
Digital Object Identifier 10.1109/MGRS.2019.2906237
Date of publication: 23 September 2019
20
0274-6638/19©2019IEEE
(a total of 1,815 stations) for the years 2014 and 2015.
We found that the remotely sensed PM 2.5 concentrations
have a significant linear relationship with those from
monitoring stations but that PM 2.5 concentrations were
generally below those given by ground-based monitoring stations (2014: slope = 0.8248, R 2 = 0.6458; 2015:
slope = 0.9473, R 2 = 0.5097).
In particular, the remotely sensed PM 2.5 concentrations
were much lower than those reported by ground monitoring when PM 2.5 2 70 μg/m3 (2014: slope = 0.7865, R 2 =
0.6043; 2015: slope = 0.8706, R 2 = 0.628). While this
reasonable underestimation affects the direct use of the
PM 2.5 concentrations, it has much less impact when the
remotely sensed PM 2.5 concentrations are categorized, for
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
SEPTEMBER 2019
IEEE Geoscience and Remote Sensing Magazine - September 2019
Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - September 2019
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