A5085086990- Atmospheric and Environmental Gas Dynamics
- Atmospheric chemistry and aerosols
- Spectroscopy and Laser Applications
- Atmospheric Ozone and Climate
- Atmospheric aerosols and clouds
- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Geochemistry and Geologic Mapping
- Remote Sensing and LiDAR Applications
- Vehicle emissions and performance
- Methane Hydrates and Related Phenomena
- Hydrocarbon exploration and reservoir analysis
- Advanced Optical Sensing Technologies
- Facial Rejuvenation and Surgery Techniques
- Impact of Light on Environment and Health
- Data-Driven Disease Surveillance
- Hydrology and Drought Analysis
- Advanced Computing and Algorithms
- Orthodontics and Dentofacial Orthopedics
- Text and Document Classification Technologies
- Anomaly Detection Techniques and Applications
- Plant responses to elevated CO2
- Advanced Clustering Algorithms Research
Wuhan University
2016-2025
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2014-2025
Nanjing University of Chinese Medicine
2025
Sichuan University
2023-2025
State Key Laboratory of Oral Diseases
2024
Qiannan Normal College For Nationalities
2024
Donghua University
2024
Tsinghua University
2023
Health First
2023
ORCID
2021
Abstract China is likely the world's largest anthropogenic source of methane emissions, with coal mine (CMM) being predominant contributor. Here, we deploy 2 years satellite observations to survey facility‐level CMM emitters in Shanxi, most prolific mining province China. A total 138 detected episodic events at 82 facilities are estimated emit 1.20 (+0.24/−0.20, 95% CI) million tons per year (Mt CH 4 /yr) during 2021–2023, roughly equivalent 4.2 times integrated flux from Permian plumes and...
CO2 is one of the most important greenhouse gases. Its concentration and distribution in atmosphere have always been studying carbon cycle effect. This study first to validate XCO2 satellite observations with total column observing network (TCCON) data compare global for passive satellites Orbiting Carbon Observatory-2 (OCO-2) Greenhouse Gases Observing Satellite (GOSAT), which are on-orbit gas satellites. Results show that since GOSAT was launched 2009, its mean measurement accuracy −0.4107...
Remotely sensed products are of great significance to estimating global gross primary production (GPP), which helps provide insight into climate change and the carbon cycle. Nowadays, there three types emerging remotely that can be used estimate GPP, namely, MODIS GPP (Moderate Resolution Imaging Spectroradiometer MYD17A2H), OCO-2 SIF, GOSIF. In this study, we evaluated performances for compared with eddy covariance(EC) from perspectives a single tower (23 flux towers) vegetation (evergreen...
Abstract Oceans are widely regarded as major offsets for anthropogenic carbon emissions, leading to an evident lower measured atmospheric CO 2 concentration than expected. It is thus of great significance develop effective means monitor fluxes over oceans globally. In this work, we utilized observations obtained by airborne ‐IPDA LIDAR evaluate the potential such in estimating sea‐air flux. During a flight experiment 2019, have estimated exchange rate, −1.5 ± 0.18 mmol/m /h, between Bohai...
Abstract Development of the measurement-based carbon accounting means is great importance to supplement traditional inventory compilation. Mobile CO 2 /CH 4 measurement provides a flexible way inspect plant-scale emissions without need notify factories. In 2021, our team used vehicle-based monitor system conduct field campaigns in two cities and one industrial park China, totaling 1143 km. Furthermore, we designed model based on sample concentrations evaluate emissions, EMISSION-PARTITION,...
In contrast to the passive remote sensing of global CO 2 column concentrations (XCO ), active with a lidar enables continuous XCO measurements throughout entire atmosphere in daytime and nighttime. The could penetrate most cirrus is almost unaffected by aerosols. Atmospheric environment monitoring satellite (AEMS, also named DQ-1) aerosol carbon dioxide detection Lidar (ACDL) novel spaceborne that implements 1572 nm integrated path differential absorption (IPDA) method measure for first...
CO 2 column-weighted dry-air mixing ratio ( X ) products with high precision and spatial resolution are essential for inverting fluxes promoting our understanding of global climate change. Compared passive remote sensing methods, IPDA LIDAR, as an active technique, offers many advantages in measuring . However, a significant random error LIDAR measurements causes values calculated directly from signals to be unqualified the final products. Hence, we propose efficient particle filter-based...
With the rapid growth of GHG monitoring satellites, more and studies focused on issue inversion/optimization CO2 fluxes using satellite-derived XCO2 observations in recent years. A common critical challenge this framework is separation background anomalies from observations, which directly affect performance inversion. We proposed a novel method to accurately extract satellite observations. series observing system simulation experiments were performed test method. found that bias uncertainty...
Active remote sensing of atmospheric XCO2 has several advantages over existing passive sensors, including global coverage, a smaller footprint, improved penetration aerosols, and night observation capabilities. China is planning to launch multi-functional satellite equipped with CO2-IPDA (integrated path differential absorption Lidar) measure columnar concentrations CO2 globally. As space power are limited on the satellite, compromises have been made accommodate other sensors. In this study,...
Atmospheric aerosol is one of the major factors that cause environmental pollution. Light detection and ranging (LiDAR) an effective remote sensing tool for observation. In order to provide a comprehensive understanding pollution from physical perspective, this study investigated regional atmospheric through integration measurements, including LiDAR, satellite, ground station observations combined backward trajectory tracking model. First, horizontal distribution wa obtained by whole-day...
Methane is the second most important greenhouse gas after carbon dioxide. The intensity and distribution of methane source/sink in China are unknown. We collected column-averaged dry air mixing ratio CH4 (abbreviated as XCH4 hereafter) from TROPOMI for period 2018 to 2021, study spatial temporal change atmospheric concentration, providing clues foundations understanding China. It was found that roughly high East, low West, South North. Additionally, an evidently positive linear relationship...
Aerosol scattering and absorption properties were continuously measured analyzed at the urban Laboratory for Information Engineering in Surveying, Mapping Remote Sensing (LIESMARS) site Wuhan, central China, from 1 December 2009 to 31 March 2014. The mean aerosol coefficient , single albedo (SSA) 377.54 Mm−1, 119.06 0.73, respectively. Both showed obvious annual variability with large values winter small summer, principally caused by characteristics of meteorological conditions, especially...
Since over 70% of carbon emissions are from urban areas, it is great importance to develop an effective measurement technique that can accurately monitor atmospheric CO2 in global areas. Remote sensing could be way achieve this goal. However, due high aerosol loading there large, inadequately resolved areas the products acquired by passive remote sensing. China planning launch Atmospheric Environment Monitoring Satellite (AEMS) equipped with a CO2-light detecting and ranging (LIDAR) system....
The uncertainty of carbon fluxes the terrestrial ecosystem is highest among all flux components, calling for more accurate and efficient means to monitor land sinks. Gross primary productivity (GPP) a key index estimate flux, which describes total amount organic fixed by green plants through photosynthesis. In recent years, solar-induced chlorophyll fluorescence (SIF), probe vegetation photosynthesis can quickly reflect state growth, emerges as novel promising proxy GPP. launch Orbiting...
Quantification of the distribution CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> dry-air mixing ratio (XCO ) is crucial for understanding carbon cycle. However, clouds and aerosols in line light create spectral interference with signals. This can result a low yield XCO retrievals, thus limiting application these valuable satellite data. In this study, we developed an innovative methodology to obtain maps high spatial temporal...