Lightning Detection, Analysis

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Kikuchi, H., Morimoto, T., Sato, M., Ushio, T., Kikuchi, M., Yamazaki, A., Suzuki, M., Ishida, R., Sakamoto, Y., Kawasaki, Z.,
Direction-of-Arrival Estimation of VHF Signals Recorded on the International Space Station and Simultaneous Observations of Optical Lightning,
GeoRS(54), No. 7, July 2016, pp. 3868-3877.
Antennas BibRef

Bourscheidt, V., Pinto, O., Naccarato, K.P.,
Improvements on Lightning Density Estimation Based on Analysis of Lightning Location System Performance Parameters: Brazilian Case,
GeoRS(52), No. 3, March 2014, pp. 1648-1657.
atmospheric techniques BibRef

Manso-Callejo, M.Á., Chan, F.K.K., Iturrioz-Aguirre, T., Manrique-Sancho, M.T.,
Using Bivariate Gaussian Distribution Confidence Ellipses of Lightning Flashes for Efficiently Computing Reliable Large Area Density Maps,
GeoRS(55), No. 8, August 2017, pp. 4489-4499.
Computer architecture, Context, Gaussian distribution, Lightning, Storms, Uncertainty, Gaussian distribution, lightning, uncertainty BibRef

Kokou, P., Willemsen, P., Lekouara, M., Arioua, M., Mora, A., van den Braembussche, P., Neri, E., Aminou, D.M.A.,
Algorithmic Chain for Lightning Detection and False Event Filtering Based on the MTG Lightning Imager,
GeoRS(56), No. 9, September 2018, pp. 5115-5124.
Lightning, Europe, Instruments, Space vehicles, Transient analysis, Satellites, Optical imaging, Filtering, jitter, lightning, transient detection BibRef

Capozzi, V.[Vincenzo], Montopoli, M.[Mario], Mazzarella, V.[Vincenzo], Marra, A.C.[Anna Cinzia], Roberto, N.[Nicoletta], Panegrossi, G.[Giulia], Dietrich, S.[Stefano], Budillon, G.[Giorgio],
Multi-Variable Classification Approach for the Detection of Lightning Activity Using a Low-Cost and Portable X Band Radar,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812

Kar, S.K.[Sanjib Kumar], Liou, Y.A.[Yuei-An],
Influence of Land Use and Land Cover Change on the Formation of Local Lightning,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903

Ahmad, U.A.[Umar Ali], Kasahara, Y.[Yoshiya], Matsuda, S.[Shoya], Ozaki, M.[Mitsunori], Goto, Y.[Yoshitaka],
Automatic Detection of Lightning Whistlers Observed by the Plasma Wave Experiment Onboard the Arase Satellite Using the OpenCV Library,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
Magnetic wave field data. Low frequency or VLF electromagnetic (radio) wave generated by lightning. BibRef

Paliaga, G.[Guido], Donadio, C.[Carlo], Bernardi, M.[Marina], Faccini, F.[Francesco],
High-Resolution Lightning Detection and Possible Relationship with Rainfall Events over the Central Mediterranean Area,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907

d'Adderio, L.P.[Leo Pio], Pazienza, L.[Luigi], Mascitelli, A.[Alessandra], Tiberia, A.[Alessandra], Dietrich, S.[Stefano],
A Combined IR-GPS Satellite Analysis for Potential Applications in Detecting and Predicting Lightning Activity,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003

Chen, Y.D.[Yao-Deng], Yu, Z.[Zheng], Han, W.[Wei], He, J.[Jing], Chen, M.[Min],
Case Study of a Retrieval Method of 3D Proxy Reflectivity from FY-4A Lightning Data and Its Impact on the Assimilation and Forecasting for Severe Rainfall Storms,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004

Wang, J.Q.[Jia-Quan], Ma, Q.M.[Qi-Ming], Zhou, X.[Xiao], Xiao, F.[Fang], Yuan, S.B.[Shang-Bo], Chang, S.[Sheng], He, J.[Jin], Wang, H.[Hao], Huang, Q.J.[Qi-Jun],
Asia-Pacific Lightning Location Network (APLLN) and Preliminary Performance Assessment,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006

Hui, W.[Wen], Zhang, W.J.[Wen-Juan], Lyu, W.T.[Wei-Tao], Li, P.F.[Peng-Fei],
Preliminary Observations from the China Fengyun-4A Lightning Mapping Imager and Its Optical Radiation Characteristics,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008

Antunes de Sá, A.L., Marshall, R.A.,
Lightning Distance Estimation Using LF Lightning Radio Signals via Analytical and Machine-Learned Models,
GeoRS(58), No. 8, August 2020, pp. 5892-5907.
Lightning, Ionosphere, Antennas, Geology, Receivers, Mathematical model, Estimation, Distance measurement, single station BibRef

Fan, X., Zhang, Y., Krehbiel, P.R., Zhang, Y., Zheng, D., Yao, W., Xu, L., Liu, H., Lyu, W.,
Application of Ensemble Empirical Mode Decomposition in Low-Frequency Lightning Electric Field Signal Analysis and Lightning Location,
GeoRS(59), No. 1, January 2021, pp. 86-100.
Lightning, Discharges (electric), Fault location, Signal analysis, Empirical mode decomposition, low-frequency/very-low-frequency (LF/VLF) electric field BibRef

Sokol, Z.[Zbynek], Popová, J.[Jana],
Differences in Cloud Radar Phase and Power in Co- and Cross-Channel: Indicator of Lightning,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102

Torcasio, R.C.[Rosa Claudia], Federico, S.[Stefano], Prat, A.C.[Albert Comellas], Panegrossi, G.[Giulia], d'Adderio, L.P.[Leo Pio], Dietrich, S.[Stefano],
Impact of Lightning Data Assimilation on the Short-Term Precipitation Forecast over the Central Mediterranean Sea,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103

Hunt, H.G.P.,
Lightning Location System Detections as Evidence: A Unique Bayesian Framework,
GeoRS(59), No. 3, March 2021, pp. 1848-1858.
Lightning, Bayes methods, Buildings, Geology, Forensics, Current measurement, Bayesian framework, lightning, Students' t-distribution BibRef

Tiberia, A.[Alessandra], Mascitelli, A.[Alessandra], d'Adderio, L.P.[Leo Pio], Federico, S.[Stefano], Marisaldi, M.[Martino], Porců, F.[Federico], Realini, E.[Eugenio], Gatti, A.[Andrea], Ursi, A.[Alessandro], Fuschino, F.[Fabio], Tavani, M.[Marco], Dietrich, S.[Stefano],
Time Evolution of Storms Producing Terrestrial Gamma-Ray Flashes Using ERA5 Reanalysis Data, GPS, Lightning and Geostationary Satellite Observations,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103

Edirisinghe, M.[Mahesh], Maduranga, U.G.D.[Uruvitiya Gamage Dilaj],
Distribution of Lightning Accidents in Sri Lanka from 1974 to 2019 Using the DesInventar Database,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104

Wang, Y.P.[Yong-Ping], Lu, G.P.[Gao-Peng], Shi, T.[Tao], Ma, M.[Ming], Zhu, B.[Baoyou], Liu, D.X.[Dong-Xia], Peng, C.Z.[Chang-Zhi], Wang, Y.[Yu],
Enhancement of Cloud-to-Ground Lightning Activity Caused by the Urban Effect: A Case Study in the Beijing Metropolitan Area,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104

Shi, T.[Tao], Lu, G.P.[Gao-Peng], Fan, Y.F.[Yan-Feng], Li, X.[Xiao], Zhang, Y.[Yang],
A Comprehensive Study on the Improved Radio-Frequency Magnetic Field Measurement for the Initial Upward Leader of a Negative Rocket-Triggered Lightning Flash,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104

Chen, Z.X.[Zhi-Xiong], Qie, X.S.[Xiu-Shu], Sun, J.Z.[Juan-Zhen], Xiao, X.[Xian], Zhang, Y.X.[Yu-Xin], Cao, D.J.[Dong-Jie], Yang, J.[Jing],
Evaluation of Fengyun-4A Lightning Mapping Imager (LMI) Performance during Multiple Convective Episodes over Beijing,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105

Sun, H.[Hao], Yang, J.[Jing], Zhang, Q.L.[Qi-Lin], Song, L.[Lin], Gao, H.Y.[Hai-Yang], Jing, X.Q.[Xiao-Qin], Lin, G.[Guo], Yang, K.[Kang],
Effects of Day/Night Factor on the Detection Performance of FY4A Lightning Mapping Imager in Hainan, China,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106

Wang, J.X.[Jing-Xuan], Zhang, Y.[Yang], Tan, Y.[Yadan], Chen, Z.[Zefang], Zheng, D.[Dong], Zhang, Y.J.[Yi-Jun], Fan, Y.F.[Yan-Feng],
Fast and Fine Location of Total Lightning from Low Frequency Signals Based on Deep-Learning Encoding Features,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106

Xiao, X.[Xian], Qie, X.[Xiushu], Chen, Z.X.[Zhi-Xiong], Lu, J.Y.[Jing-Yu], Ji, L.[Lei], Wang, D.F.[Dong-Fang], Zhang, L.[Lina], Chen, M.X.[Ming-Xuan], Chen, M.[Min],
Evaluating the Performance of Lightning Data Assimilation from BLNET Observations in a 4DVAR-Based Weather Nowcasting Model for a High-Impact Weather over Beijing,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106

Yin, W.J.[Wen-Jie], Jin, W.[Weizheng], Zhou, C.[Chen], Liu, Y.[Yi], Tang, Q.[Qiong], Liu, M.[Moran], Chen, G.[Guanyi], Zhao, Z.[Zhengyu],
Lightning Detection and Imaging Based on VHF Radar Interferometry,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106

Mills, S.[Steven], Green, D.[David], Longnecker, N.[Nancy], Brundell, J.[James], Rodger, C.J.[Craig J.], Brook, P.[Peter],
Embodied Earth: Experiencing natural phenomena,
Art; Earth; Fasteners; Haptic interfaces; Lightning; Skeleton; Sparks BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Classification for Urban Area Land Cover, Remote Sensing .

Last update:Jun 14, 2021 at 09:20:36