23 citations as recorded by crossref.

1. LiDAR technology and experimental research for comprehensive measurement of atmospheric transmittance, turbulence, and wind H. Yang et al. 10.1117/1.JRS.18.012002
2. Spatiotemporal variation of LAI in different vegetation types and its response to climate change in China from 2001 to 2020 Y. Ma et al. 10.1016/j.ecolind.2023.111101
3. Improved Gaussian regression model for retrieving ground methane levels by considering vertical profile features H. He et al. 10.3389/feart.2024.1352498
4. Quantifying strong point sources emissions of CO2 using spaceborne LiDAR: Method development and potential analysis T. Shi et al. 10.1016/j.enconman.2023.117346
5. Improved Mapping of Regional Forest Heights by Combining Denoise and LightGBM Method M. Sang et al. 10.3390/rs15235436
6. The Vertical Distributions of Aerosol Optical Characteristics Based on Lidar in Nanyang City from 2021 to 2022 M. Zhang et al. 10.3390/atmos14050894
7. An Improved Method for Individual Tree Segmentation in Complex Urban Scenes Based on Using Multispectral LiDAR by Deep Learning J. Yang et al. 10.1109/JSTARS.2024.3373395
8. A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia S. Jin et al. 10.5194/acp-23-8187-2023
9. Improving quantification of methane point source emissions from imaging spectroscopy Z. Pei et al. 10.1016/j.rse.2023.113652
10. A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar Z. Pei et al. 10.1016/j.atmosenv.2023.119933
11. Potential for wind farming in West Africa from an analysis of daily peak wind speeds and a review of low-level jet dynamics Y. Gunnell et al. 10.1016/j.rser.2023.113836
12. Exploring the Conversion Model from Aerosol Extinction Coefficient to PM1, PM2.5 and PM10 Concentrations H. Shao et al. 10.3390/rs15112742
13. Estimation of Planetary Boundary Layer Height From Lidar by Combining Gradient Method and Machine Learning Algorithms H. Li et al. 10.1109/TGRS.2023.3329122
14. A comprehensive review on the development of data-driven methods for wind power prediction and AGC performance evaluation in wind–thermal bundled power systems S. Wang et al. 10.1016/j.egyai.2024.100336
15. A comprehensive assessment of wind energy potential and wind farm design in a coastal industrial city A. AlQahtani 10.1108/WJE-11-2023-0468
16. Green hydrogen potential assessment in Ghana: application of PEM electrolysis process and geospatial-multi-criteria approach M. Asare-Addo 10.1080/14786451.2023.2256892
17. Extending the wind profile beyond the surface layer by combining physical and machine learning approaches B. Liu et al. 10.5194/acp-24-4047-2024
18. Assessing the responses of different vegetation types to drought with satellite solar-induced chlorophyll fluorescence over the Yunnan-Guizhou Plateau Y. Luo et al. 10.1364/OE.501964
19. Spatio-temporal analysis of LAI using multisource remote sensing data for source region of Yellow River Basin Y. Zhang et al. 10.3389/fenvs.2024.1320881
20. The Time-Series Production Simulation in Cost Management of New Energy Grid Connection Under the Internet of Things S. Wang 10.1109/ACCESS.2024.3370162
21. A novel framework for wind energy assessment at multi-time scale based on non-stationary wind speed models: A case study in China Z. Yang & S. Dong 10.1016/j.renene.2024.120406
22. A Cluster Analysis Approach for Nocturnal Atmospheric Boundary Layer Height Estimation from Multi-Wavelength Lidar Z. Zhu et al. 10.3390/atmos14050847
23. The Potential of Lakes for Extracting Renewable Energy—A Case Study of Brates Lake in the South-East of Europe E. Rusu et al. 10.3390/inventions8060143