Application of hyperspectral imaging sensor to differentiate between the moisture and reflectance of healthy and infected tobacco leaves

2011 ◽  
Vol 6 (29) ◽  
Author(s):  
Babangida Lawal Yusuf
2019 ◽  
Vol 11 (24) ◽  
pp. 3005 ◽  
Author(s):  
Hyeon-Ju Park ◽  
Jin-Soo Park ◽  
Sang-Woo Kim ◽  
Heesung Chong ◽  
Hana Lee ◽  
...  

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 × 1020 molecules m−2) given a 1° 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).


Virology ◽  
1987 ◽  
Vol 160 (1) ◽  
pp. 297-300 ◽  
Author(s):  
Hilde Van Pelt-Heerschap ◽  
Hans Verbeek ◽  
Jan Willem Slot ◽  
Lous Van Vloten-Doting

2017 ◽  
Author(s):  
Michele Hinnrichs ◽  
Bradford Hinnrichs ◽  
Earl McCutchen

Virology ◽  
1980 ◽  
Vol 100 (1) ◽  
pp. 91-100 ◽  
Author(s):  
Sylviane Chifflot ◽  
Pascal Sommer ◽  
Dominique Hartmann ◽  
Christiane Stussi-Garaud ◽  
Le´on Hirth

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Lalit Mohan Kandpal ◽  
Jagdish Tewari ◽  
Kenny Tran ◽  
Ernie Quan ◽  
Nishanth Gopinathan ◽  
...  

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