Current Techniques and Prospects for Forest Mapping and Monitoring with Synthetic Aperture Radar (SAR)
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".
Deadline for manuscript submissions: closed (25 November 2023) | Viewed by 6182
Special Issue Editors
Interests: polarimetric SAR scattering mechanism; dual-station SAR forest mapping; desert penetration mapping; soil moisture inversion
Special Issues, Collections and Topics in MDPI journals
Interests: vegetation mapping; SAR; LiDAR; satellite image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Forest parameters (such as forest height, volume, biomass, types, etc.) are important for better understanding the global carbon cycle. Synthetic aperture radar (SAR), due to its penetration ability, can record and acquire information on the vertical structure and physical properties of forests, which provides great potential for humans to understand the forest system more comprehensively and systematically. In particular, the upcoming fully polarimetric SAR satellites with a capacity for long-wavelength and short revisit periods, such as the Tandem-L, BIOMASS, and NISAR missions planned by the German Aerospace Center (DLR), European Space Agency (ESA), and National Aeronautics and Space Administration (NASA), will form penetration observations at multiple layers for the forest. This will not only provide abundant data support for the analysis of the dynamic evolution process of the forest system at the global and regional scales but also greatly promote theoretical and technological development for wide-ranging, fast, and high-precision inversion of vertical structure and physical property information about forests.
Potential topics include but are not limited to:
- PolSAR scattering mechanisms and PolSAR decomposition model;
- Polarimetric SAR interferometry (PolInSAR) data processing theory and methods for forest mapping and monitoring;
- Forest height estimation and subcanopy topography mapping by InSAR/PolInSAR;
- Forest vertical structure estimation via TomoSAR;
- Forest dynamic change monitoring via SAR.
Dr. Haiqiang Fu
Dr. Qinghua Xie
Dr. Xing Peng
Guest Editors
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Keywords
- SAR
- interferometry
- tomographic SAR
- forest vertical structure
- forest dynamic change
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