A5100650782- Atmospheric aerosols and clouds
- Remote Sensing in Agriculture
- Atmospheric chemistry and aerosols
- Remote Sensing and LiDAR Applications
- Atmospheric and Environmental Gas Dynamics
- Atmospheric Ozone and Climate
- Meteorological Phenomena and Simulations
- Leaf Properties and Growth Measurement
- Advanced Optical Sensing Technologies
- Spectroscopy and Chemometric Analyses
- Spectroscopy and Laser Applications
- Plant Water Relations and Carbon Dynamics
- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Advanced Computational Techniques and Applications
- 3D Surveying and Cultural Heritage
- Remote Sensing and Land Use
- Solar Radiation and Photovoltaics
- Remote-Sensing Image Classification
- Land Use and Ecosystem Services
- Horticultural and Viticultural Research
- Wind and Air Flow Studies
- Water Quality Monitoring and Analysis
- Advanced Algorithms and Applications
- Ionosphere and magnetosphere dynamics
Wuhan University
2016-2025
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2016-2025
Guizhou Normal University
2023-2025
Peking University
2023-2025
Wuhan Institute of Technology
2023-2024
Renmin Hospital of Wuhan University
2020-2024
National University of Singapore
2023
Geospatial Research (United Kingdom)
2023
University of Maryland, College Park
2023
Wuhan Business University
2023
Abstract In this study, Moderate Resolution Imaging Spectroradiometer land cover, surface temperature (LST), and enhanced vegetation index (EVI) data were used to investigate the trends of urban heat island intensity (SUHII, LST minus rural LST) their relations with in 397 global big cities during 2001–2017. Major findings include following: (1) Annual daytime nighttime SUHII increased significantly ( p < 0.05, Mann‐Kendall trend test) 42.1% 30.5% cities, respectively. (2) The growing...
Abstract. Accurate estimation of the wind profile, especially in lowest few hundred meters atmosphere, is great significance for weather, climate, and renewable energy sector. Nevertheless, Monin–Obukhov similarity theory fails above surface layer over a heterogeneous underlying surface, causing an unreliable profile to be obtained from conventional extrapolation methods. To solve this problem, we propose novel method called PLM-RF that combines power-law (PLM) with random forest (RF)...
This paper deals with the field of computer vision, mainly for application deep learning in object detection task. On one hand, there is a simple summary datasets and algorithms commonly used vision. other new dataset built according to those datasets, choose network called faster r-cnn work on this dataset. Through experiment strengthen understanding these networks, through analysis results learn importance technology, learning.
In this paper, an adjustable model-based image fusion method for multispectral (MS) and panchromatic (PAN) images is developed. The relationships of the desired high spatial resolution (HR) MS to observed low-spatial-resolution HR PAN are formulated with observation models. maximum a posteriori framework employed describe inverse problem fusion. By choosing particular probability density functions, fused solved using gradient descent algorithm. particular, two functions defined adaptively...
Abstract. Multi-year observations of aerosol microphysical and optical properties, obtained through ground-based remote sensing at 50 China Aerosol Remote Sensing Network (CARSNET) sites, were used to characterize the climatology for representative remote, rural, urban areas over assess effects on climate. The annual mean effective radii total particles (ReffT) decreased from north south rural high particle volumes found sites. depth 440 nm (AOD440 nm) increased sites (0.12) (0.79),...
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...
Abstract. Aeolus is the first satellite mission to directly observe wind profile information on a global scale. After implementing set of bias corrections, data products went public 12 May 2020. However, over China have thus far not been evaluated extensively by ground-based remote sensing measurements. In this study, Mie-cloudy and Rayleigh-clear from measurements are validated against observations radar profiler (RWP) network in China. Based position each RWP site relative closest ground...
In this paper, an improved LSB information hiding algorithm of color image using secret key is be proposed, combining and cryptography, increasing the human eye visual features, identity authentication based on digital signature encryption technology to improve security hiding. Finally through experiment comparison peak signal-to-noise ratio (PSNR) safety, steganography better than general steganographic method with higher PSNR.
The vertical structure of wind is a key factor in modulating air quality, from which the determination boundary layer height (BLH) remains major challenge. In this paper, we developed an improved threshold method to determine BLH radar profiler (RWP) measurements. normalized signal-to-noise ratio (SNR) profiles were used instead original SNR avoid instrumental inconsistencies. Additionally, peak filter was designed indicate based on maximum by taking into account multiple peaks profile. This...
Forest leaf chlorophyll (Cab) and carotenoid (Cxc) are key functional indicators for the state of forest ecosystem. Current machine learning models based on hyperspectral reflectance widely applied to estimate Cab Cxc contents at scale. However, these have certain accuracy non-independent datasets but poor generalization independent when they used contents. This fact limits that remote sensing completely replaces destructive measurements Thus, development an estimation model with high...
The known effects of thermodynamics and aerosols can well explain the thunderstorm activity over land, but fail oceans. Here, tracking full lifecycle tropical deep convective cloud clusters shows that adding fine significantly increases lightning density for a given rainfall amount both ocean land. In contrast, coarse sea salt (dry radius > 1 μm), as spray, weakens vigor by producing fewer larger drops, which accelerate warm rain at expense mixed-phase precipitation. Adding spray reduce 90%...
With the rapid modernization, many remote-sensing sensors were developed for classifying urban land and environmental monitoring. Multispectral LiDAR, which serves as a new technology, has exhibited potential in monitoring due to synchronous acquisition of three-dimension point cloud spectral information. This study confirmed multispectral LiDAR complex cover classification through three comparative methods. Firstly, Optech Titan was pre-processed ground filtered. Then, methods analyzed: (1)...
Abstract. Accurate estimation of wind speed at turbine hub height is significance for energy assessment and exploitation. Nevertheless, the traditional power law method (PLM) generally estimates hub-height by assuming a constant exponent between surface speed. This inevitably leads to significant uncertainties in estimating profile especially under unstable conditions. To minimize uncertainties, we here use machine learning algorithm known as random forest (RF) estimate heights such 120 m...
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,...