Dear Colleagues,

As the main technical approach of Earth observation, remote sensing has been widely used in ecology, agronomy, forestry, geography, and environmental science. The main remote sensing techniques include active information acquisition methods (e.g., synthetic aperture radar (SAR) and light detection and ranging (LiDAR)) and passive optical imaging approaches (e.g., high-resolution imagery and hyperspectral imagery). LiDAR can obtain the range and 3D spatial information of the target and is not easily affected by environmental factors such as changes in illumination conditions or weather. However, it cannot obtain spectral data, and current airborne LiDAR systems have fewer than three bands. Hyperspectral images have many channels (generally more than 100) and continuous spectrum coverage and have been used for identification and classification in many fields. However, the range information of the target cannot be obtained, and it is easily affected by obstructions such as clouds or forest canopies. Hyperspectral LiDAR is a new technology that has emerged in recent years. It combines the advantages of LiDAR and hyperspectral images but still requires more effort in large-scale detector technology, data processing, and application exploration. This Special Issue of Remote Sensing aims to provide a platform for researchers to publish innovative work on advances, methods, and applications of hyperspectral imaging and LiDAR scanning techniques. Potential research will include but not be limited to:

• Design, calibration, and performance evaluation of hyperspectral imaging sensors;
• Development and applications of LiDAR systems;
• Hyperspectral LiDAR technology;
• Data fusion of hyperspectral images and point clouds;
• Development of artificial intelligence algorithms for remote sensing data;
• Application exploration of hyperspectral imaging and LiDAR techniques.

Dr. Jianxin Jia
Dr. Yuwei Chen
Dr. Yue Yu
Dr. Xiaorou Zheng
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• hyperspectral imaging
• LiDAR
• data processing
• artificial intelligence
• remote sensing applications