Results 1 to 10 of about 2,974 (204)

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

open access: goldRemote 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   +12 more
doaj   +2 more sources

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

open access: goldRemote 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   +6 more
doaj   +2 more sources

Lightning Activity Observed by the FengYun-4A Lightning Mapping Imager [PDF]

open access: goldRemote 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   +3 more
doaj   +2 more sources

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

open access: goldRemote 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   +3 more
doaj   +2 more sources

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

open access: goldRemote 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   +7 more
doaj   +2 more sources

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

open access: goldEarth 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   +4 more
doaj   +2 more sources

Image Navigation for FY-4A Lightning Mapping Imager

open access: goldIEEE 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   +7 more
doaj   +2 more sources

Concurrent satellite and ground-based lightning observations from the Optical Lightning Imaging Sensor (ISS-LIS), the low-frequency network Meteorage and the SAETTA Lightning Mapping Array (LMA) in the northwestern Mediterranean region [PDF]

open access: goldAtmospheric Measurement Techniques, 2020
The new space-based Lightning Imager (LI) onboard the Meteosat Third Generation (MTG) geostationary satellite will improve the observation of lightning over Europe, the Mediterranean Sea, Africa and the Atlantic Ocean from 2021 onwards.
F. Erdmann   +6 more
doaj   +3 more sources

Improving Forecast of Severe Oceanic Mesoscale Convective Systems Using FY-4A Lightning Data Assimilation with WRF-FDDA

open access: yesRemote Sensing, 2022
The Fengyun-4A (FY-4A) geostationary satellite carries the Lightning Mapping Imager that measures total lightning rate of convective systems from space at high spatial and temporal resolutions.
Hao Sun   +7 more
doaj   +1 more source

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

open access: yesAtmosphere, 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

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