Advanced Remote Sensing Imaging for Environmental Sciences

Dear Colleagues,

Remote sensing imaging is an active source of spatial information which has been proven to be effective in measuring and monitoring the environment. Conversely, hyperspectral remote sensing imaging combines imaging technology with spectral detection technology, which is characterized by integrating image information of the sample with spectral information. Thus, remote sensing images contain information that can reflect external quality characteristics, such as the size, shape, and defects of the sample. However, different components have different spectral absorption capacities, and so the image will reflect defects at a certain wavelength more significantly, while the spectral information can fully reflect the sample. Differences in internal physical structure and chemical composition determine the unique advantages of hyperspectral image technology in environmental science applications and are widely used in environmental resource detection and environmental monitoring tasks. However, the ability of existing methods to identify features is significantly affected by the high data dimensionality and massive information redundancy of hyperspectral remote sensing data. To solve the above problems, we must develop a variety of advanced hyperspectral remote sensing imaging analysis techniques for use in environmental monitoring systems.

This Special Issue encourages scholars and experts to submit works that systematically explore various advanced remote sensing imaging methods for application to environmental science to provide new ideas and references for exploring and addressing pressing environmental science issues. We welcome both original research and review articles.

Dr. Weiwei Cai
Dr. Jianlei Kong
Guest Editors

Manuscript Submission Information

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