Title
Retrieval of NO2 Column Amounts from Ground-Based Hyperspectral Imaging Sensor Measurements.
Abstract
Total column amounts of NO2 (TCN) were estimated from ground-based hyperspectral imaging sensor (HIS) measurements in a polluted urban area (Seoul, Korea) by applying the radiance ratio fitting method with five wavelength pairs from 400 to 460 nm. We quantified the uncertainty of the retrieved TCN based on several factors. The estimated TCN uncertainty was up to 0.09 Dobson unit (DU), equivalent to 2.687 x 10(20) molecules m(-2)) given a 1 degrees error for the observation geometries, including the solar zenith angle, viewing zenith angle, and relative azimuth angle. About 0.1 DU (6.8%) was estimated for an aerosol optical depth (AOD) uncertainty of 0.01. In addition, the uncertainty due to the NO2 vertical profile was 14% to 22%. Compared with the co-located Pandora spectrophotometer measurements, the HIS captured the temporal variation of the TCN during the intensive observation period. The correlation between the TCN from the HIS and Pandora also showed good agreement, with a slight positive bias (bias: 0.6 DU, root mean square error: 0.7 DU).
Year
DOI
Venue
2019
10.3390/rs11243005
REMOTE SENSING
Keywords
DocType
Volume
hyperspectral imaging sensor,hyperspectrometer,nitrogen dioxide
Journal
11
Issue
Citations 
PageRank 
24
0
0.34
References 
Authors
0
10
Name
Order
Citations
PageRank
Hyeon-Ju Park100.34
Jin-Soo Park200.34
Sang Woo Kim345598.54
Heesung Chong400.34
Hana Lee500.68
hyunjae kim673.29
Joon-Young Ahn700.34
Dai-Gon Kim800.34
Jhoon Kim977.02
Sang Seo Park1000.34