Results 1 to 10 of about 53 (45)

Evaluation of Fengyun-4A Lightning Mapping Imager (LMI) Performance during Multiple Convective Episodes over Beijing [PDF]

Remote Sensing, 2021
This study investigates the characteristics of space-borne Lightning Mapping Imager (LMI) lightning products and their relationships with cloud properties using ground-based total lightning observations from the Beijing Broadband Lightning Network (BLNET)
Zhixiong Chen, Xiushu Qie, Juanzhen Sun, Xian Xiao, Yuxin Zhang, Dongjie Cao, Jing Yang   +6 more
doaj   +4 more sources

Comparison of Lightning Detection Between the FY‐4A Lightning Mapping Imager and the ISS Lightning Imaging Sensor

Earth and Space Science, 2021
The Lightning Mapping Imager (LMI) onboard Fengyun‐4A (FY‐4A) is the first Chinese lightning detection sensor in geostationary orbit. This study presents the lightning characteristics observed by the FY‐4A LMI in its first year, and then observations ...
Xiang Ni, Wen Hui, Qinghong Zhang, Fuxiang Huang, Chuntao Liu   +4 more
doaj   +3 more sources

A Parallax Shift Effect Correction Based on Cloud Top Height for FY-4A Lightning Mapping Imager (LMI)

Remote Sensing, 2023
The Lightning Mapping Imager (LMI) onboard the Fengyun-4A (FY-4A) satellite is the first independently developed satellite-borne lightning imager in China.
Yuansheng Zhang, Dongjie Cao, Jing Yang, Feng Lu, Dongfang Wang, Ruiting Liu, Hongbo Zhang, Dongxia Liu, Zhixiong Chen, Huimin Lyu, Wei Cai, Shulong Bao, Xiushu Qie   +12 more
doaj   +2 more sources

Lightning Activity Observed by the FengYun-4A Lightning Mapping Imager

Remote Sensing, 2021
The Lightning Mapping Imager (LMI) onboard the geostationary meteorological satelliteFengYun-4A (FY-4A) detects both intra-cloud (IC) and cloud-to-ground (CG) lightning continuously during daytime and nighttime.
Dongjie Cao, Feng Lu, Xiaohu Zhang, Jing Yang   +3 more
doaj   +3 more sources

Preliminary Observations from the China Fengyun-4A Lightning Mapping Imager and Its Optical Radiation Characteristics

Remote Sensing, 2020
The Fengyun-4A (FY-4A) Lightning Mapping Imager (LMI) is the first satellite-borne lightning imager developed in China, which can detect lightning over China and its neighboring regions based on a geostationary satellite platform.
Wen Hui, Wenjuan Zhang, Weitao Lyu, Pengfei Li   +3 more
doaj   +3 more sources

Effects of Day/Night Factor on the Detection Performance of FY4A Lightning Mapping Imager in Hainan, China

Remote Sensing, 2021
In this study, the effect of day/night factor on the detection performance of the FY4A lightning mapping imager (LMI) is evaluated using the Bayesian theorem, and by comparing it to the measurements made by a ground-based low-frequency magnetic field ...
Hao Sun, Jing Yang, Qilin Zhang, Lin Song, Haiyang Gao, Xiaoqin Jing, Guo Lin, Kang Yang   +7 more
doaj   +3 more sources

Image Navigation for FY-4A Lightning Mapping Imager

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Navigation of images from lightning mapping instruments in geostationary orbits is very important for data applications. However, few scientific peer-reviewed papers have been reported, except a few works in the prelaunch tests.
Jing Wang, Xiaochong Tong, Lei Yang, Jian Shang, Chengbao Liu, Shulong Bao, Zhiqing Zhang, Jun Yang   +7 more
doaj   +1 more source

Characteristics of Lightning Activities over the Tibetan Plateau Based on Satellite Detection and Its Circulation Background Analysis

Atmosphere, 2023
Based on the detection data obtained by the LMI (Lightning Mapping Imager)—China’s first satellite-based lightning observation payload—from 2018–2022, combined with the ERA5 (ECMWF Reanalysis v5) reanalysis data of the same period, the temporal and ...
Jie Zhu, Shulin Zhi, Suling Ren
doaj   +1 more source

Preliminary Research on a Comparison and Evaluation of FY-4A LMI and ADTD Data through a Moving Amplification Matching Algorithm

Remote Sensing, 2020
In this study, a new moving amplification matching algorithm was proposed, and then the temporal and spatial differences and correlation were analysed and evaluated by comparing the FengYun-4A Lightning Mapping Imager (FY-4A LMI) data and the China ...
Pengfei Li, Guofu Zhai, Wenjing Pang, Wen Hui, Wenjuan Zhang, Jing Chen, Liting Zhang   +6 more
doaj   +1 more source

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

Remote Sensing, 2020
As the first Geostationary Satellite with the LMI (Lightning Mapping Imager) instrument aboard running over the eastern hemisphere, FY-4A (Feng-Yun-4A) can better indicate severe convection and compensate for the limitations of radar observation in ...
Yaodeng Chen, Zheng Yu, Wei Han, Jing He, Min Chen   +4 more
doaj   +1 more source