Methods and Applications of Lidar Remote Sensing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".
Deadline for manuscript submissions: closed (20 September 2022) | Viewed by 3327
Special Issue Editors
Interests: atmospheric remote sensing; point cloud processing
Special Issues, Collections and Topics in MDPI journals
Interests: fluorescence/multispectral lidar; UAV lidar; classification based on multispectral/hyperspectral point clouds; power-line inspection; vegetation parameter retrieval
Special Issues, Collections and Topics in MDPI journals
Interests: carbon remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: atmospheric aerosol–PBL–cloud interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
It is a great pleasure to present this Special Issue “Methods and Applications of Lidar Remote Sensing” to be published in the journal Applied Sciences.
As an advanced technology, lidar has attracted increasing interest as a topic of research in recent years. With the development of lidar hardware, the science and technology of lidar remote sensing is rapidly developing, with substantial output of meaningful scientific achievements. Given the wide application of lidar remote sensing in the fields of atmosphere, environment, vegetation, surveying and mapping, and so on, the development of lidar remote sensing has ushered in great opportunities and challenges. Therefore, the main goal of this Special Issue is to summarize achievements in the development of lidar remote sensing technology, discuss and look forward to the future directions of development, and promote the rapid application of lidar remote sensing in different fields.
This Special Issue is particularly encouraging submissions on the methods and applications of lidar remote sensing for retrieving atmosphere parameters, monitoring environmental quality, estimating vegetation status from leaf and canopy, etc. Related hardware design and retrieval algorithms for ground-based, airborne, and space-based lidar sensors are also of interest, as are data fusion approaches for acquiring new data with higher accuracy and temporal and spatial resolution. In summary, this Special Issue invite submissions exploring cutting-edge research and recent advances in the fields of lidar remote sensing. Both theoretical and experimental studies are welcome, as are comprehensive review and survey papers.
Dr. Wei Wang
Dr. Jian Yang
Dr. Ge Han
Dr. Boming Liu
Guest Editors
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Keywords
- lidar
- multispectral lidar
- remote sensing
- atmosphere
- boundary layer
- environmental
- vegetation
- aerosol
- CO2
- leaf biochemical content
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