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Remote Sensing Advances in Spaceborne Laser Altimetry for High-Accuracy Elevation Modeling and Application

This special issue belongs to the section “Satellite Missions for Earth and Planetary Exploration“.

Special Issue Information

Dear Colleagues,

Spaceborne laser altimetry has significantly advanced the field of remote sensing by enabling the collection of accurate elevation information over large areas. This technology is not only pivotal for Earth observation, enabling detailed mapping of terrestrial topography, vegetation structure, ice sheets, and hydrological features, but also plays a crucial role in deep space exploration, such as planetary surface mapping and lunar or Martian terrain analysis. These advancements greatly contribute to our understanding of both Earth and other celestial bodies, supporting scientific research and informing decision-making in environmental management, resource exploration, and planetary science.

The aim of this Special Issue is to present recent developments and innovative research in spaceborne laser altimetry, with particular emphasis on high-precision elevation modeling and its practical uses. The theme is closely connected to the journal’s focus on satellite missions for Earth and planetary exploration, reflecting the growing importance of remote sensing technologies in both terrestrial and extraterrestrial contexts. By inviting contributions from researchers working in Earth sciences and planetary studies, we hope to encourage cross-disciplinary dialogue and showcase the diverse applications of laser altimetry in fields ranging from environmental monitoring to planetary geology.

We encourage submissions that focus on recent advances in the processing and application of spaceborne laser altimetry data for high-accuracy elevation modeling. Topics of particular interest include the development of improved algorithms for data processing, methods for calibration and validation of elevation products, and the integration of laser altimetry with complementary remote sensing data. We also welcome studies demonstrating the use of spaceborne laser altimetry in specific applications such as topographic mapping, forest structure assessment, ice sheet monitoring, and planetary or lunar surface analysis. Contributions presenting innovative approaches or comparative evaluations are especially encouraged.

Dr. Binbin Li
Prof. Dr. Huan Xie
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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.

Keywords

  • spaceborne laser altimetry
  • high-accuracy elevation modeling
  • calibration and validation
  • multi-source data integration
  • sensor technology
  • planetary and asteroids mapping

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Remote Sens. - ISSN 2072-4292