Advances in the Application of Lidar

Dear Colleagues,

LiDAR (light detection and ranging, also LIDAR, LiDAR, and LADAR) has advanced rapidly since 1960. It is an active remote sensing technology that measures the distance by taking the speed of light and the time elapsed to travel from the target object to the sensor. The most common information provided by LiDAR is elevation and the structural profile of the terrain surface. Applications of LiDAR include flood risk measurements, terrain modeling, tree height measurements, etc. There are also advanced approaches for data fusion using both LiDAR data and high spatial and high spectral resolution images for ground cover classification and target recognition. In the last few decades, remote sensing technology has evolved dramatically with the better quality of LiDAR products as well as a rapid development of machine and deep learning algorithms. These most advanced technologies lead the remote sensing community to further explore the advanced applications of LiDAR data.

This Special Issue aims at studies that provide insights into the most advanced LiDAR remote sensing and their applications at local, regional, or global scales. Topics may include anything from advances of the physical principles or data processing of LiDAR to LiDAR for agriculture and forest application, urban application, change detection, or geoscience applications, etc. In addition, multisource data fusion with LiDAR, classification algorithms development, accuracy assessment, etc., are all welcome.

Suggested themes and article types for submissions.

• LiDAR data fusion technologies and algorithm development.
• LiDAR application in forestry: e.g., individual tree mapping, canopy mapping, etc.
• LiDAR application in agriculture: e.g., crop planning, yield forecasting, etc.
• LiDAR urban application e.g., road extraction, building extraction, etc.
• LiDAR application in disaster management: e.g., post-flooding mapping, etc.
• LiDAR application for geoscience such as surface hydrology, fluvial landforms etc.

Dr. Fang Fang
Dr. Yaqian He
Dr. Qinghua Xie
Guest Editors

Manuscript Submission Information

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