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Spaceborne SAR Data Processing and Its Application in Forest Biophysical Parameter Mapping and Change Monitoring

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 269

Special Issue Editors

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Guest Editor
National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
Interests: advanced radar remote-sensing techniques (such as SAR, InSAR, polarimetric InSAR, and SAR tomography) for mapping environmental resources (primarily vegetation, snow, ice, and planetary sub-surface); applied electromagnetics modeling and simulation for the earth and planetary remote-sensing applications

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Guest Editor
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Interests: remote-sensing measurement of biophysical attributes of tropical forests by combining biological and electromagnetic modeling
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electrical and Computer Engineering, University of Massachusetts Amherst, Amherst, MA 01003, USA
Interests: microwave sensor development and implementation; numerical modeling of electromagnetic fields within natural media; signal and image processing applied to environmental remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Spaceborne Synthetic Aperture Radar (SAR)-derived large-scale high-resolution products of forest biophysical parameters (such as forest aboveground biomass and height) are critical variables for quantifying the global terrestrial carbon storage and modeling the dynamics of the carbon cycle. Modern spaceborne SARs have the advantage of wall-to-wall mapping such parameters at high spatial and temporal resolution with wide-swath coverage and all-weather day/night observing capability. Furthermore, most of the advanced spaceborne SAR sensors are equipped with multi-mode observations, such as Polarimetric SAR (PolSAR), Interferometric SAR (InSAR), Polarimetric InSAR (PolInSAR), and Tomographic SAR (TomoSAR), all of which in combination provide multi-dimensional information of forest structure and/or biophysical parameters.

This Special Issue aims to solicit original articles on advanced spaceborne SAR data processing methods with an emphasis on their applications in forest biophysical parameter mapping and change monitoring, which include, but are not limited to:

  • Advanced data processing methods of modern spaceborne SAR data, such as JAXA's ALOS/ALOS-2/ALOS-4, ESA’s Sentinel-1, DLR's TanDEM-X, China’s Gaofen series and bistatic L-SAR, ESA's BIOMASS, and NASA'S NISAR;
  • Novel inversion algorithms for determining the status and change of vegetation vertical structure and forest biophysical parameters (e.g., aboveground biomass and height) through the use of advanced spaceborne SAR-based approaches, as well as auxiliary data from other types of sensor such as lidar and/or optical data;
  • Algorithms for creating large-scale products of forest biophysical parameters as well as their changes over various terrestrial biomes with different climate/weather conditions;
  • New electromagnetic scattering models for interpreting and simulating SAR observations of forests;
  • Recent progress in airborne radar campaigns as well as field inventory experiments for different types of forest in support of the cal/val activities for spaceborne SAR missions.

Prof. Dr. Yang Lei
Dr. Robert Treuhaft
Prof. Dr. Paul Siqueira
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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 100 words) can be sent to the Editorial Office for announcement on this website.

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.


  • spaceborne SAR
  • InSAR
  • PolSAR
  • PolInSAR
  • TomoSAR
  • forest biophysical parameter
  • forest aboveground biomass
  • forest height
  • radar lidar fusion
  • radar optical fusion
  • large-scale product

Published Papers

This special issue is now open for submission.
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