Far Ultraviolet Remote Sensing of the Nighttime Ionosphere Using the OI 130.4‐nm Emission

2020 ◽  
Vol 125 (6) ◽  
Author(s):  
Jianqi Qin
Keyword(s):  
Remote Sensing ◽  
Ultraviolet Remote Sensing ◽  
Far Ultraviolet

Far ultraviolet remote sensing of ionospheric emissions by Polar BEAR

1993 ◽  
Vol 31 (5) ◽  
pp. 931-945 ◽  
Author(s):  
I. Oznovich ◽  
A. Ravitz ◽  
M. Tur ◽  
I. Glaser ◽  
R.E. Huffman ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Polar Bear ◽  
Ultraviolet Remote Sensing ◽  
Far Ultraviolet

scholarly journals Far ultraviolet remote sensing of the isotropy boundary and magnetotail stretching

2005 ◽  
Vol 110 (A11) ◽  
Author(s):  
C. Blockx ◽  
J.-C. Gérard ◽  
M. Meurant ◽  
B. Hubert ◽  
V. Coumans
Keyword(s):  
Remote Sensing ◽  
Ultraviolet Remote Sensing ◽  
Far Ultraviolet

The use of far ultraviolet remote sensing to monitor space weather

2003 ◽  
Vol 31 (4) ◽  
pp. 813-818 ◽  
Author(s):  
Larry J. Paxton ◽  
Daniel Morrison ◽  
Douglas J. Strickland ◽  
M.Geoff McHarg ◽  
Yongliang Zhang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Space Weather ◽  
Ultraviolet Remote Sensing ◽  
Far Ultraviolet

Study on Calibration Method of Spectral Irradiance Responsivity for Space Ultraviolet Remote Sensing Instrument

2010 ◽  
Vol 30 (6) ◽  
pp. 1816-1821
Author(s):  
Zhang Zhenduo ◽  
Wang Shurong ◽  
Li Futian ◽  
Huang Yu ◽  
Qu Yi Lin Guanyu
Keyword(s):  
Remote Sensing ◽  
Calibration Method ◽  
Spectral Irradiance ◽  
Ultraviolet Remote Sensing

scholarly journals Auroral ionospheric E region parameters obtained from satellite-based far ultraviolet and ground-based ionosonde observations: Effects of proton precipitation

2019 ◽  
Author(s):  
Harold K. Knight
Keyword(s):  
Remote Sensing ◽  
Optical Emission ◽  
Electron Precipitation ◽  
E Region ◽  
Emission Models ◽  
Proton Precipitation ◽  
Far Ultraviolet ◽  
Proton Aurora ◽  
Remote Sensing Methods

Abstract. Coincident auroral far ultraviolet (FUV) and ground-based ionosonde observations are compared for the purpose of determining whether auroral FUV remote sensing algorithms that assume pure electron precipitation are biased in the presence of proton precipitation. Auroral particle transport and optical emission models, such as the Boltzmann 3-Constituent (B3C) model, predict that maximum E region electron density (NmE) values derived from auroral Lyman-Birge-Hopfield (LBH) emission assuming electron precipitation will be biased high by up to ~ 20 % for pure proton aurora, while comparisons between LBH radiances and radiances derived from in situ particle flux observations (i.e., Knight et al., 2008, 2012) indicate that the bias associated with proton aurora should be much larger. Surprisingly, in the comparisons with ionosonde observations described here, no bias associated with proton aurora is found in FUV-derived auroral NmE, which means that auroral FUV remote sensing methods for NmE are more accurate in the presence of proton precipitation than was suggested in the aforementioned earlier works. Possible explanations for the discrepancy with the earlier results are discussed.

scholarly journals Ultraviolet remote sensing of marine oil spills: A new approach of HaiYang- 1C satellite

2021 ◽  
Author(s):  
Yingcheng Lu ◽  
Ziyi Suo ◽  
jianqiang liu ◽  
Jing Ding ◽  
Dayi Yin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Oil Spills ◽  
New Approach ◽  
Marine Oil ◽  
Marine Oil Spills ◽  
Ultraviolet Remote Sensing
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